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EFFECTS OF MITOCHONDRIAL DNA REPLICATION STRESS
AND DOUBLE-STRAND BREAKS ON DNA DAMAGE
RESPONSE PATHWAYS AND MITOCHONDRIAL GENE
EXPRESSION
JUHA HAIKONEN
Pro gradu -tutkielma
Itä-Suomen yliopisto
Ympäristö- ja biotieteiden laitos
Biologia
2018
ITÄ-SUOMEN YLIOPISTO
Ympäristö- ja biotieteiden laitos, biologia
HAIKONEN, JUHA: Effects of mitochondrial DNA replication stress and double-strand
breaks on DNA damage response pathways and mitochondrial
gene expression
Pro gradu -tutkielma (40 op), 52 s., liitteitä 0
Helmikuu 2018
avainsanat: mitokondriot, mtDNA, ddC, HEK-293, ApaLI
TIIVISTELMÄ
Mitokondrioiden DNA (mtDNA) sisältää mitokondrioille elintärkeää geneettistä informaatiota,
esimerkiksi oksidatiiviseen fosforylaatioon osallistuvien proteiinien geenejä. Jokaisessa
mitokondriossa on enemmän kuin tarpeeksi mtDNA:ta ylläpitämään normaalia transkriptiota ja
replikaatiota. Koska mtDNA:n oikoluku- ja korjausmekanismit eivät vedä vertoja tuman
DNA:lle, mtDNA on altis vaurioille ja inaktivoiville mutaatioille. Vauriot sekä kemialliset
inhibiittorit häiritsevät mtDNA:n replikaatioon osallistuvia entsyymejä, pysäyttäen
replikaatiohaarukat. Pysähtyneet replikaatiohaarukat voivat romahtaa, aiheuttaen mtDNA-
juosteen kaksoiskatkoksia, jotka lopulta johtavat mtDNA-molekyylien hajoamiseen ja
mtDNA:n kopiolukumäärän köyhtymiseen. Mitokondriot sietävät väliaikaisesti suurtakin
pudotusta mtDNA:n lukumäärässä, ja jäljelle jäänyt mtDNA replikoituu suotuisissa
olosuhteissa nopeasti normaalille tasolle.
Tässä pro gradu -tutkielmassa selvitettiin mtDNA:n replikaation inhibition vaikutuksia
solujen DNA vauriosignalointiin ja mitokondrioiden omaan geeniekspressioon.
HEK-solujen mtDNA:n replikaatio estettiin 2′-3′-dideoksisytidiini-käsittelyllä (ddC), jonka
kesto oli 48 tuntia. Altistumista seurasi 64 tuntia kestävä toipumisjakso kasvatusliuoksessa,
joka ei sisältänyt ddC:tä. Solunäytteitä kerättiin sekä altistumisen että toipumisen aikana.
Näytteet käytettiin Southern blot -analyysiin, jolla mitattiin käsittelyn vaikutus mtDNA:n
kopiolukumäärään. Lisäksi tehtiin useita Western blot -analyyseja, joilla mitattiin millaisia
muutoksia mtDNA:n replikaation inhibitio aiheutti tärkeimpien DNA vauriota signaloivien
proteiinien tasoissa. Northern blot -analyysiä käytettiin transkriptiossa mahdollisesti
tapahtuvien muutosten löytämiseen.
Replikaation inhibitio 175 µM ddC-altistuksella sai aikaan solujen mtDNA tasojen
putoamisen 30%:een alkuperäisestä. Kun ddC poistettiin elatusliuoksesta, kopiolukumäärä
palautui normaalille tasolle 32 tunnissa. Kaikkien kokeeseen valittujen yhdeksän proteiinin
tasot pysyivät muuttumattomina koko kokeen ajan. Sen sijaan mtDNA:n transkriptio lisääntyi
huomattavasti ddC-altistuksen yhteydessä.
Altistuminen ddC:lle ei vaikuttanut tässä tutkielmassa käsiteltävien, HEK-soluissa
tavallisesti vaurio- tai stressivasteista aktivoituvien proteiinien tasoihin. Transkription
lisääntyminen on luultavasti kompensaatiomekanismi, jonka avulla solu yrittää selvitä
altistuksesta hyödyntämällä tehokkaammin jäljellä olevaa mtDNA:ta. Solut näyttäisivätkin
pitävän yllä suurempaa mtDNA kopiolukumäärää kuin mitä olisi tarpeellista mitokondrioiden
toiminnalle. On mahdollista, että tämä ylimäärä toimii puskurina mahdollisia stressitilanteita
vastaan tai kompensoi mtDNA:n vaurioalttiutta.
UNIVERSITY OF EASTERN FINLAND
Department of environmental and biological sciences
HAIKONEN, JUHA: Effects of mitochondrial DNA replication stress and double-strand
breaks on DNA damage response pathways and mitochondrial
gene expression
MSc. Thesis (40 cp), 52 pp., appendices 0
February 2018
key words: mitochondria, mtDNA, ddC, HEK-293, ApaLI
ABSTRACT
Mitochondria contain circular mitochondrial DNA (mtDNA) encoding essential genetic
information, such as components of the oxidative phosphorylation pathway. Because mtDNA
lacks some of the sophisticated error-correcting processes intrinsic in nuclear DNA, it is
considerably more vulnerable to damage and following deleterious mutations. The abundance
of mtDNA might represent a quantity over quality strategy to overcome inactivation via
mutagenesis. mtDNA damage as well as chemical inhibitors can interfere with the replication
of mtDNA, ultimately leading to the depletion of mtDNA copy number. However, cells can
survive a high degree of depletion and repopulate lost mtDNA once the inhibiting factors are
removed.
The aim of this master’s thesis was to elucidate the consequences of mtDNA replication
inhibition on multiple key protein involved in DNA damage response as well as to monitor
changes in mitochondrial gene expression.
mtDNA replication in HEK cells was inhibited with 2′-3′-dideoxycytidine (ddC) and the
treatment resulted in depletion of mtDNA over 48 hours, after which the cells recovered for 64
hours in ddC-free environment. Samples taken at designated timepoints were used to perform
a Southern blot to measure mtDNA copy number depletion, a Northern blot to measure
transcription, and multiple Western blot assays to elucidate changes in proteins involved in
DNA damage responses.
Replication inhibition using 175 µM ddC resulted in mtDNA depletion to 30% of the original
over a 48-hour. Repopulation to baseline levels occurs within 32 hours in ddC-free
environment. No determinable differences were observable in the nine proteins selected for
Western blotting. Instead, depletion of mtDNA induced a marked increase in mitochondrial
transcripts.
ddC exposure did not influence the expression of any of the studied damage or stress
response proteins. The increase in mitochondrial transcription is likely a compensatory
mechanism to maintain sufficient mitochondrial functions using the remaining mtDNA.
Interestingly, the cells seem to maintain higher mtDNA copy number than would be essential
for mitochondrial function. The excess mtDNA could buffer sudden stress events or
compensate for the higher susceptibility for mtDNA damage.
TABLE OF CONTENTS
1 INTRODUCTION ................................................................................................................... 1
2 REVIEW OF THE LITERATURE ......................................................................................... 3
2.1 Mitochondria .................................................................................................................... 3
2.2 Cellular energetics ............................................................................................................ 5
2.2 Reactive oxygen species ................................................................................................... 6
2.3 mtDNA and mitochondrial biogenesis ............................................................................. 7
2.3 The replication of mtDNA ............................................................................................. 10
2.4 Mitochondrial gene expression ...................................................................................... 12
2.5 Antiretroviral drugs as inhibitors of mtDNA replication ............................................... 13
2.6 The eukaryotic cell cycle and its key regulators ............................................................ 14
2.6.1 The cell cycle .......................................................................................................... 14
2.6.2 Regulators of the cell cycle ..................................................................................... 15
2.7. Role of histones in the repair of eukaryotic DNA ......................................................... 18
2.8 Mitochondrial quality control ......................................................................................... 19
3 AIM OF THE THESIS .......................................................................................................... 20
4 MATERIALS AND METHODS .......................................................................................... 21
4.1 Exposure and recovery of HEK cells to ddC ................................................................. 21
4.2 DNA extraction, purification and Southern blot -analysis ............................................. 22
4.3 Total protein extraction and Western blot analysis ........................................................ 23
4.4 RNA extraction and Northern blot analysis ................................................................... 25
4.6 DNA double-strand break experiment with transfected HEKs expressing ApaLI ........ 26
5 RESULTS .............................................................................................................................. 27
5.1 Depletion of mitochondrial DNA copy number by ddC ................................................ 27
5.2 Quantification of proteins of ddC-treated HEK cells ..................................................... 30
5.3 Quantification of RNA levels of cells exposed to ddC .................................................. 41
5.4 Double-strand breaks in ApaLI induced HEK cells ....................................................... 43
5.5 Protein levels of HEK cells transfected with ApaLI. ..................................................... 44
6 DISCUSSION ....................................................................................................................... 45
6.1 Depletion of mitochondrial DNA ................................................................................... 45
6.2 Activation of cellular DNA repair signalling ................................................................. 46
7 CONCLUSIONS ................................................................................................................... 47
THANKS .................................................................................................................................. 48
REFERENCES ......................................................................................................................... 48
1
1 INTRODUCTION
The scope of this thesis focuses on mitochondria, and mainly on the mitochondrial DNA
(mtDNA) found in abundance within each mitochondrion (Kühlbrandt 2015). The replication,
transcription, and translation of mtDNA are reviewed alongside the damage response pathways
associated with it. Several important proteins functioning inside and outside the mitochondria
are discussed in the context of their function, ranging from the cell cycle, chromatin and
oxidative phosphorylation to DNA double-strand repair. Mitochondrial dysfunction, often
linked to defective mtDNA, is the culprit of several rare and severe diseases. Many such
diseases can likely be cured in the near-future by a targeting a selective restriction enzyme to
attack the defective mtDNA, the elimination of which allows remaining and healthy mtDNA to
repopulate and take its place (Moraes et al. 2010; Moraes et al. 2012; Chan & Mishra 2014).
The experimental section of the thesis focuses on utilizing 2´-3´-dideoxycytidine (ddC) to
induce a depletion of mtDNA copy number in HEK-293 cells, and then allowing a rest period
so the remaining mtDNA can recover back to baseline level (Magnani et al. 1999; Jazayeri et
al. 2003). Cell samples gathered at distinct intervals throughout the exposure and recovery
period are used to perform a Southern blot analysis to measure the degree of depletion. A
Northern blot analysis measures transcription on a general level and a series of Western blots
are used to measure whether ddC induces changes in a selection of proteins, the majority of
which are activated by stress or DNA damage. Finally, to study how DNA double-strand breaks
affect mtDNA, a stable cell line of transfected HEKs, containing a gene construct for
mitochondrial targeting and the inducible expression of a restriction enzyme, ApaLI, is utilized.
Expression of ApaLI is induced by doxycycline treatment (Bayona-Bafaluy et al. 2005).
The proteins of interest were selected due to their roles in DNA-damage response, cell cycle,
oxidative stress, and other essential cellular processes. Proteins of interest functioning outside
the mitochondria are Chk1, a cell cycle mediator; p21, a cyclin dependent kinase inhibitor; p53,
a tumour suppressor; H2AFX, a histone protein associated with DNA double-strand breaks;
PKB, a multi-purpose serine/threonine-specific protein kinase; and Parkin, a ligase associated
with mitophagy.
Proteins of interest functioning inside the mitochondria are MRPL11, a mitochondrial
ribosomal component useful for estimating mitoribosomal abundance; TFAM, the major
2
mitochondrial transcription factor; and UQCRC2, a subunit of Complex III of the electron
transport chain and associated with oxidative stress.
3
2 REVIEW OF THE LITERATURE
2.1 Mitochondria
Mitochondria are maternally inherited, cytoplasmic organelles popularly known as the
powerhouses of the cell. Mitochondria originate from a symbiotic eubacterium acquired by a
larger eukaryotic cell in a process known as endosymbiosis, which explains the organelle’s
relatively large dimensions: 1 to 2 µm in length and 0.1-0.5 µm in width – approximately the
size of an E. coli bacterium (White et al. 2016; Van der Giezen 2011). For 1.5 billion years, co-
evolution has worked to tighten the symbiosis to a degree that was considered absolute for all
eukaryotes, right up to the recent discovery of a eukaryotic microorganism, which has both
gained and lost mitochondrial function during its evolutionary history (Karnkowska et al.
2016).
Mitochondria are essential bioenergetics and biosynthetic factories. Cells primarily rely on
breakdown of adenosine triphosphate (ATP), a molecule with large amounts of chemical energy
stored in its phosphate bonds, for their energy needs. Mitochondria are capable of synthesizing
ATP from inorganic phosphorus and adenosine diphosphate (ADP) (Klingenberg 2008). Due
to great demand for ATP, each cell contains hundreds of mitochondria (White et al. 2016).
Notably, mitochondria are not defined in shape but form dynamic, tubular networks in cells that
undergo constant change through fusion and fission (Lackner 2013). Mitochondrial population
adapts to the energy needs of the cell. Physiological and environmental conditions and the
metabolic functions of the cell ultimately dictate its specific energy requirements (Lezza &
Picca 2015).
Mitochondria have two membranes that both segregate them from their immediate
surroundings and define their three distinct, structural mitochondrial compartments. The outer
mitochondrial membrane allows ions and small, uncharged molecules to diffuse freely through
its porous surface. Large molecules, such as nuclear-encoded mitochondrial proteins, are unable
to pass through the pores and rely on active transport by translocases on the membrane surface.
The pores are formed by specific pore-forming membrane proteins, collectively known as
porins. One such protein is the Voltage-dependent Anion Channel (VDAC), which forms
general diffusion pores for small hydrophilic molecules. Due to the porosity of the outer
mitochondrial membrane, no electrochemical gradient forms across it (Kühlbrandt 2015).
4
Unlike the outer mitochondrial membrane, the inner mitochondrial membrane acts as a tight
diffusion barrier, blocking all ions most molecules, although some are transported via specific
and selective membrane transport proteins (Kühlbrandt 2015). The innermost compartment,
surrounded by the inner membrane, is the mitochondrial matrix, which can be thought as the
cytoplasm of the ancestral endosymbiotic bacterium. Within the matrix’s alkaline pH of 7.9 to
8.0, mtDNA is stored, replicated and transcripted, proteins synthesis occurs, and numerous
enzymatic reactions take place. The absence of pores and the non-permeability of the inner
membrane to small ions and molecules, combined with the alkaline environment of the matrix,
creates an electrochemical trans-membrane potential of approximately 180 mV to build up
between the matrix and the intermembrane space (Kühlbrandt 2015).
The intermembrane space between the outer membrane and the part of the inner membrane,
known as the inner boundary membrane, can be thought as the periplasm of the ancestral
bacterium. All mitochondria-targeted matrix proteins pass through both membranes and this
~20 nm gap in between them (Kühlbrandt 2015).
Cristae are the third mitochondrial compartment, formed when the inner mitochondrial
membrane at the inner boundary membrane extends into the matrix, forming distinct, tubular-
like extensions. These extensions are the main site for biological energy conversion, greatly
increasing the surface area available for electron transport chain complexes and ATP synthases.
Mitochondrial site and cristae organizing system (MICOS) anchors the cristae to the outer
membrane (Kühlbrandt 2015). Likewise, cristae are connected to the inner mitochondrial
membrane by narrow, slot-like structures of varying length, so called crista junctions (Reichert
et al. 2009).
Although ATP synthesis is their primary function, mitochondria partake in a multitude of
critical cellular processes. Biosynthesis of many small molecules include steps that involve
mitochondria, requiring precursors and products to be shuttled into and out of the mitochondria
via transport proteins. Some of the mitochondrial functions that do not involve ATP production
include the synthesis and processing of fatty acids, steroid hormones, pyrimidines, iron-sulphur
clusters, phospholipids, ubiquinone and amino acids. For example, biosynthesis of heme begins
inside mitochondria, requires cytoplasmic modification steps in between to yield a precursor,
which then transports back to mitochondria for terminal steps. Additionally, mitochondria
regulate reactive oxygen species and ion homeostasis, ammonia detoxification, thermogenesis
5
and fatty acid oxidization (Shadel et al. 2006; Soria et al. 2012; Eisenberg-Bord & Schuldiner
2017).
2.2 Cellular energetics
ATP is the universal cellular energy unit, which provides the cell with chemical energy to power
everything from osmotic work to biosynthesis, transport of molecules, etc. ATP synthesis
process is so rapid that the human body can synthesize its own weight of ATP in a single day.
The thermodynamic efficiency of ATP synthesis process has recently been given an exact
estimation of 40 to 41 %, which is significantly lower from the estimate of 55 to 60 % that
many dated textbooks frequently suggest (Nath 2016).
ATP is spent to perform work by hydrolysing its chemical bond with phosphate and coupling
this energy releasing reaction with different, energy requiring reaction. Hydrolysis cleaves the
ATP molecule into ADP and inorganic phosphate. ADP can then be hydrolysed further into
AMP to release more energy, or be transported back into the mitochondria for regeneration into
ATP. Inorganic phosphate is transported for regeneration by phosphate carriers in the inner
mitochondrial membrane gather up inorganic phosphate (Krämer 1996; Warshel & Kamerlin
2009).
The term cellular respiration encompasses the series of chemical reactions which break down
acquired nutrients into high-energy molecules that are fed into a common metabolic pathway
to produce ATP, with carbon dioxide (CO2) and water (H2O) forming as by-products.
Additionally, cellular respiration involves the passage of high-energy electrons through a series
of oxidation and reduction reaction steps, called an electron-transport chain. When combined
with the synthesis of ATP from ADP and inorganic phosphor, the process as whole is known
as oxidative phosphorylation (OXPHOS). OXPHOS occurs in the mitochondria of nearly all
eukaryotic cells. In a biological system, oxygen – a relatively strong oxidant – serves as the
terminal electron acceptor in aerobic respiration, maximizing the conversion of energy in
nutrients into ATP. Some prokaryotes, such as anaerobic archaea and bacteria, use weaker
oxidants instead of oxygen as their final electron acceptor, which allows them to thrive in
oxygen free environments. Sulphates (SO42-) and nitrates (NO3-) can substitute for oxygen as a
final electron acceptor, although at a cost of a lesser ATP yield (Lodish et al. 2016: 515).
6
Glucose is the preferred fuel for ATP synthesis. A single glucose molecule yields six
molecules of CO2 and as many as 30 molecules of ATP (Rich 2003). The conversion of glucose
to ATP begins with glycolysis in a series of enzyme-catalysed reactions in the cytosol, which
yields two molecules of pyruvate, with some of the released energy captured as two molecules
of ATP and one molecule of NADH. Pyruvate transports into the mitochondrion where it is
converted into Coenzyme A (CoA), which is fed into the citric acid cycle where it oxidizes into
CO2. The energy released during oxidation charges nicotinamide adenine dinucleotide (NAD+)
and flavin adenine dinucleotide (FAD) with high-energy electrons, reducing them to NADH
and FADH2, respectively (Nelson & Cox 2008: 528, 542, 616).
The mitochondrial respiratory chain in the inner mitochondrial membrane is composed of
four multimeric protein complexes: I, II, III, and IV. The complex III, known as cytochrome c
reductase, is assembled from 10 nuclear encoded proteins and one protein encoded by mtDNA.
Cytochrome c reductase is incorporated into a respirasome supercomplex with complexes I and
IV. This supercomplex functions like a single enzyme (Enriquez et al. 2008; Miyake et al.
2013).
The high-energy electrons carried by NADH and FADH2 are passed along the respiratory
chain all the way down to the final electron acceptor. As the electrons are passed from complex
to complex in this multi-step process, their energy is released safely and in manageable
quantities. The released energy is used to pump protons from the matrix across the inner
mitochondrial membrane into the inter-membrane space, generating the proton-motive force.
Finally, electrons flowing back down their concentration and voltage gradients powers the F1F0-
ATP synthase, which synthesizes ATP from ADP and inorganic phosphate (Nelson & Cox
2008: 712, 723-725).
2.2 Reactive oxygen species
Oxidative phosphorylation generates reactive oxygen species (ROS) as by-product. ROS are
traditionally viewed as damage-inducing and detrimental to mitochondrial function and cellular
health, but more recent research has determined that moderate ROS levels have important
physiological functions and play a role in a wide range of cellular responses, including signal
transduction, proliferation, differentiation, and other regulatory functions. ROS are generated
in mitochondria when a single electron escapes the electron transport chain and encounters
7
molecular oxygen, forming a radical and dangerous superoxide (O2-). Typically, superoxide is
rapidly converted into hydrogen peroxide (H2O2) by superoxide dismutase. Although H2O2 is
detrimental in high quantities, it is kept in check by catalase enzyme and scavenging
peroxidases. Simultaneously, thioredoxins and glutaredoxins seek out and reverse oxidative
damage caused by H2O2. The escape of electrons from iron-sulphur groups, flavin-containing
proteins, or from ubisemiquinone of the Q cycle may generate superoxide in complexes I, II
and III (Schumacker et al.2016).
Superoxide generated on the matrix side of the inner mitochondrial membrane – a major site
of ROS production – is released into the aqueous matrix environment, where it may encounter
and damage mtDNA. Compared to its nuclear counterpart, mtDNA has a high rate of mutation,
and ROS-induced damage is believed to be one contributing factor. However, mitochondria can
repair most DNA lesions via homologous recombination or non-homologous end joining, and
the presence of multiple copies of mtDNA suggests that homologous recombination is the
primary system for repairing double-strand breaks (DSB) in mitochondria. When mtDNA
suffers multiple DSBs, the recombination process often results in large deletions (Moraes &
Williams 2009).
In humans, the nuclear gene UQCRC2 encodes for one of the core protein components of
complex III. Elevated level of UQCRC2 protein is associated with oxidative stress and elevated
levels of mitochondrial ROS (Pang et al.2015). Detection of excess UQCRC2 in a cell sample
may therefore be an indicator of oxidative stress.
2.3 mtDNA and mitochondrial biogenesis
Human mtDNA is circular 16,569 base pairs long chain consisting of a cytosine-rich light strand
and a guanine-rich heavy strand (Fig. 1). It contains 37 genes encoding for two ribosomal
ribonucleic acid (rRNA), 22 transfer RNA (tRNA), and 11 messenger RNA (mRNA) species
translating to a total of 13 proteins (Anderson et al. 1981; Kaufman et al. 2012). Additionally,
mtDNA has two non-coding regions (NCR) that regulate its replication and gene expression.
The major, 900 base-pairs long NCR contains a single promoter for the light strand (LSP), and
two heavy strand promoters (HSP1 and HSP2), as well as the origin of replication for the heavy
strand (OH), making it the major site of transcription regulation. The minor – only 30 base-pairs
8
long – NCR is located between the coding sites for tRNA-Cysteine and tRNA-Asparagine, and
contains the origin of replication of the light strand (OL) (Lezza & Picca 2015).
Aside from the two rRNAs translating to 12S and 16S mitoribosomal subunits and the 13
protein components of the OXPHOS machinery, mtDNA does not contain sufficient genetic
information for functional mitochondria (Mai et al. 2017). Indeed, all other mitochondrial
components and proteins are nuclear in origin. The remaining ~80 OXPHOS constituents, along
with 1200 to 1500 additional proteins found in mitochondria are transcripted from nuclear DNA
and translated in the cytosol. Specialized targeting and translocation mechanisms import these
proteins into the mitochondria (Shadel & Bestwick 2013).
Although most of mitochondrial proteins are synthesized and imported from the nucleus,
each cell retains approximately 1000 copies – far more than necessary – of mtDNA-containing
nucleoids, where compacted mtDNA exist as spherical, supramolecular assemblies (Kühlbrandt
2015). The compaction is primarily due to mitochondrial transcription factor A (TFAM), which
binds mtDNA non-specifically, bending and wrapping it (Lezza & Picca 2015). Based on the
level of TFAM within cells, estimates on the number of mtDNA molecules per nucleoid have
been made. The estimates vary from 1 to 1.4 to up to 3 mtDNA molecules per nucleoid (St.
John 2014). In addition to segregating mtDNA, TFAM is capable of binding, unwinding and
bending mtDNA at specific sites upstream of mtDNA promoters (Shadel & Bestwick 2013).
TFAM is involved in mtDNA transcription, maintenance and replication. Furthermore, there is
some evidence TFAM might have a role in mtDNA base excision repair (Canugovi et al. 2010).
Finally, the transcriptional coactivators of the peroxisome proliferator activated receptor
gamma coactivator-1 (PGC-1) family controls the expression of mtDNA-encoded proteins by
regulating TFAM (Lezza & Picca 2015).
9
Figure 1. Map of the human mitochondrial genome. The black band stands for the heavy strand
while the grey band stands for the light strand. Ribosomal RNA components are depicted in
purple. Each blue line marks the location of a tRNA, denoted with a single letter. Genes located
on the heavy strand are labelled outside the circle and while the single protein of the light strand,
ND6, is labelled inside. The light strand contains a single promoter, abbreviated as LSP. Heavy
strand contains two promoters; HSP1 and HSP2. Both heavy and light strand contain a primary
origin of replication, denoted by OH and OL, respectively. Above the genome map, an area
very high in transcriptional activity, known as the D-loop, is presented with detailed locations
of the three promoters, TFAM binding site, binding sites at LSP and HSP1 in relation to TFAM,
and the conserved sequence blocks (CSBs I, II, and III). Adapted from Shadel & Bestwick
2013.
10
2.3 The replication of mtDNA
Replication of mtDNA differs considerably from nuclear DNA. The study of mtDNA
replication has proved difficult, with exact details and regulators requiring further analysis.
Several models for mtDNA priming and replication have been proposed, and the strand
displacement model discussed below is perhaps the most credible. Curiously, up to 95 % of
mammalian mtDNA replication events initiated at the heavy-strand origin of replication are
aborted after transcription of approximately 650 nucleotides, leading to the formation of triple-
stranded region of mtDNA known as the displacement loop (D-loop). The abortive mtDNA
product, denoted 7S DNA, remains bound to the parental L-strand, displacing the H strand. It
is possible that 7S DNA is maintained by antihelicase activity that prevents the helicase
mitochondrial DNA helicase TWINKE from unwinding it, and the obstacle is only overcome
once rising TWINKLE levels exceed a certain threshold. The D-loop contains all major
regulatory sites of both strands for mtDNA replication and transcription (Taanman 1999; Kühl
et al. 2016). The 7S DNA is easily detectable in a Southern blot by briefly heating the purified
DNA samples before they are loaded onto an agarose gel for electrophoresis.
The replication of mtDNA requires the concerted effort of the mitochondrial replication
machinery. mtDNA polymerase gamma (POL γ) is the primary polymerase of mtDNA repair
and replication, possessing 3'-5' exonuclease and 5' dRP lyase activity in its catalytic subunit
(Stumpf & Copeland 2011). In addition to POL γ, replication requires the mitochondrial RNA
polymerase (POLRMT), TWINKLE, the mitochondrial single-stranded DNA binding protein
1 (SSBP1), and the primer-processing enzymes: RNA processing endonuclease (MRP) and
endonuclease G. It is worth underscoring that few elements distinguish transcription and gene
expression of mtDNA from its replication, as the two processes are intimately linked, with the
former using widely the same molecular machinery as the latter. This is characterized in
mtDNA by an abrupt switch from expression to replication, discussed below (Taanman 1999;
Lezza & Picca 2015; Kühl et al. 2016).
For mtDNA replication process to begin, a RNA primer is needed. According to the strand
displacement model, transcription of the primers begins at OH approximately 100 base pairs
downstream of LSP. Once transcription passes the primer sequence located in the D-loop, it
terminates prematurely, leaving behind the immature primer used for mtDNA replication. This
transition from transcription to replication takes place at several distinct sites, which
11
collectively constitute the OH, in a region of three short, evolutionary conserved sequence
blocks denoted CSB I, II and III. It is speculated that these sequence blocks direct precise
cleavage of primary transcripts to provide the appropriate primer species as well as allow the
RNA precursors to form stable and persistent three-stranded RNA-DNA hybrids known as R-
loops (Taanman 1999; Kühl et al. 2016).
R-loops are enzymatically processed by mitochondrial RNA processing endonuclease
(MRP) and endonuclease G to yield mature, functional primers. Furthermore, recent evidence
points out that primer synthesis and initiation of replication are prioritized over gene
transcription, with POLRMT functioning as concentration-dependent molecular switch
between the two. Low level of POLRMT favours initiation of transcription initiation at LSP,
ensuring that primer synthesis is maintained. Conversely, high level of POLRMT allows
transcription to proceed, leading to gene expression. Additionally, once POLRMT is depleted
from the cell, 7S DNA no longer forms, suggesting that stalled replication events resume to
completion (Taanman 1999; Kühl et al. 2016).
Once the primer for the H-strand is in place, replication proceeds unidirectionally from the
temporally and spatially distinct, strand-specific origins of replication, OH and OL. Replication
begins at OH with the synthesis of daughter H-strand and continues along the parental L-strand
to produce a full H-strand circle. Progression of the replication fork leaves the L-strand single-
stranded, and once the replication fork passes OL, located two-thirds of the genomic distance
away from OH, the region forms a stem-loop structure to which POLRMT binds and synthesizes
the primer necessary for initiation of mtDNA replication at the L-strand. L-strand replication
fork proceeds in the opposite direction from the H-strand replication (Taanman 1999; Kühl et
al. 2016). For replication to proceed past initiation, the catalytic subunit of POL γ must be
activated by TFAM, and supported by mtSSB (single-stranded DNA-binding protein,
mitochondrial), TWINKLE, and POLGB – the accessory subunit of POL γ (St. John 2014).
Mitochondrial biogenesis requires the coordinated expression of both nuclear DNA and
mtDNA, and regulators such as members of the PGC-1 and PGC-related coactivator (PRC)
protein families. One pathway of mitochondrial biogenesis occurs when PGC-1 proteins
activate nuclear transcription factors: nuclear respiratory factor 1 and 2 (NRF-1 and NRF-2)
and the estrogen-related receptor alpha (ERRα) that regulate the expression of mitochondrial
proteins encoded by nuclear DNA. Thus, expression of many mitochondrial proteins, such as
12
the mitochondrial transcription factor A, (TFAM) increases. The presence of TFAM is essential
for regulating mtDNA copy number in mitochondrial biogenesis (Lezza & Picca 2015).
2.4 Mitochondrial gene expression
Because mtDNA resides in the matrix, which is a highly oxidative environment, mtDNA has
gradually lost all but the most essential genes to preserve genetic integrity. The remaining genes
are highly conserved and compact. Thus, a minimal set of 22 tRNAs encoded by human mtDNA
are sufficient for de-coding the genetic information during transcription. The genetic code used
by mitochondria differs from the universal one. In addition to UAA and UAG, human
mitochondria use the arginine codons AGG and AGA for termination while UGA codes for
tryptophan instead of a stop codon (Watanabe 2010; Ott et al. 2016). Additionally, initiation of
transcription does not require specialized methionine to act as a starter codon. Instead, tRNAMet
functions both in initiation and elongation (Watanabe et al. 1994).
Human mtDNA is transcribed from three promoters, generating polycistronic (i.e.
containing multiple genes) transcripts. The LSP controls the transcription of eight tRNAs and
the ND6 protein, while also generating the RNA primer for first strand mtDNA replication at
OH. The two promoters in the heavy strand, HSP1 and HSP2, are located upstream of the LSP.
HSP1 controls the expression of two tRNAs and two rRNA, while HSP2 controls the expression
of the remaining 12 tRNAs and 12 protein coding transcripts. Transcription from HSP1
terminates immediately after the rRNA genes, but transcripts from LSP and HSP2 are nearly
full genome in length (Kaufman et al. 2012; Shadel & Bestwick 2013).
Biogenesis of mitoribosomes has several distinct stages. First, the smaller and larger
mitochondrial ribosomal subunits are synthesized from mtDNA transcripts. Second, nuclear
gene expression produces the mitoribosomal proteins of the small (MRPS) and large (MRPL)
subunits, and necessary post-translational modifications are completed. Third, various post-
transcriptional modifications are made to the tRNAs. Finally, the smaller and larger subunits
associate with their respective proteins, then assemble to form a functional mitoribosome
(Hällberg & Larsson 2014).
The mitochondrial ribosomal protein L11 (MRPL11), encodes for a protein component of
the large subunit of mitoribosomes. As is the case with most mitochondrial proteins, MRPL11
13
is initially encoded in the nucleus. Western blot detection of MRPL11 allows for quantification
of mitoribosomal function and abundance, and its possible fluctuations during the experiment
(Hällberg & Larsson 2014).
In humans, the initiation of transcription requires primary mitochondrial transcription
components, which are the human mitochondrial polymerase (POLRMT) itself, human
mitochondrial transcription factor B2 (TFB2M), and TFAM. Just like all mitochondrial RNA
polymerases, POLRMT is DNA-dependent and consists of a single subunit. POLRMT cannot
initiate promoter specific transcription on double-stranded DNA alone; instead, it generates
RNA primers for initiation of DNA replication, thereby coupling transcription of mtDNA to
replication. It is still unclear whether TFAM is required for transcription initiation, or whether
it merely acts as a transcriptional activator or repressor, leaving transcription initiation to
TFB2M (Shadel & Bestwick 2013).
Transcription by POLRMT yields two primary transcripts, one originating from LSP and the
other from HSP. Further processing by various RNases excises the primary transcripts, liberates
the tRNAs flanking the mRNAs and rRNAs in the process and releases the clear majority of
individual tRNAs, rRNAs, and mRNAs. Currently, the exact processing of mRNAs not
liberated in this way remains to be determined (Hällberg & Larsson 2014; Shadel & Bestwick
2013).
The mitochondrial primary transcripts differ from their nuclear counterparts, because they
do not contain any introns (Anderson et al. 1981; Kaufman et al. 2012). Furthermore, because
mtDNA contains only components for its own protein synthesis and the OXPHOS machinery,
there is no evidence suggesting that any RNA transcripts or proteins of mitochondrial origin
are ever transported out of the mitochondria they are produced in, eliminating the need for any
kind of nuclear targeting machinery (Lezza & Picca 2015).
2.5 Antiretroviral drugs as inhibitors of mtDNA replication
2´,3´-Dideoxycytidine (ddC; ddCyd; or Zalcitabine) is a nucleoside transcriptase inhibitor
(NRTI) that was sold under the trade name Hivid to combat acquired immunodeficiency
syndrome (AIDS) caused by human immunodeficiency virus (HIV) in the US. NRTIs are used
in the highly active antiretroviral therapy (HAART) to significantly increase the life expectancy
14
of HIV patients. Zalcitabine is a pyrimidine analogue of the naturally occurring nucleoside, 2´-
deoxycytidine. The sale of Hivid began in 1992 and it was discontinued in 2006 due to serious
adverse side effects and the development of a new generation of NRTIs with more favourable
risk/benefit profiles (Birgerson 2006). In addition to inhibiting HIV-1 reverse transcriptase
required for the replication of retroviruses, Zalcitabine is toxic to mitochondria. The toxic effect
arises from the inhibition of DNA polymerase γ, which was, prior to the discovery of a novel
polymerase PrimPol (Blanco et al, 2013), presumed to be the only polymerase mediating DNA
synthesis related to the replication and repair of mtDNA (Magnani et al. 1999, Lodi et al. 2015).
Within a biological system, ddC transforms into dideoxyCTP (ddCTP), a biologically active
and toxic form. ddCTP readily transforms further into ddCDP-choline. Indeed, ddCDP-choline
may be the preferred form for accumulation and localization into the mitochondrion. Once in
the mitochondrion, ddCDP-choline readily transforms back into toxic ddCTP due to the
reversible nature of phosphocholine cytidylyltransferase reaction. Thus, ddCDP-choline may
act as a reservoir for ddCTP, prolonging exposure time. Inhibition of polymerase γ by ddCTP
ultimately depletes mtDNA copy number, causing a delayed toxicity effect (Magnani et al. et
al. 1999).
2.6 The eukaryotic cell cycle and its key regulators
2.6.1 The cell cycle
The cell cycle consists of several and distinct checkpoint responses, which help cells to achieve
precise and error-free mitosis. It is a tightly regulated process influenced by both internal and
external signals. The cell cycle can be partitioned into S-phase (Synthesis) and M-phase
(Mitosis) with intermediate G1 and G2 (Gap) phases in between. Replication of DNA occurs in
the S-phase while division of DNA occurs in the M-phase. The cell prepares for replication and
mitosis in G1 and G2, respectively. A defective cell cycle is detrimental to the genome and may
ultimately prove fatal to the cell (Kubiak 2011: 421-422, 461).
On molecular level, the transition from G1 to S-phase is a precisely timed and concerted
effort of enzyme phosphorylations and dephosphorylations coupled to the expression of key
regulators. The cyclin-dependent kinases are the driving force of the cell cycle, but they remain
15
inactive when growth signals are absent. To activate, they require the binding of a specific
kinase, removal of inactivating phosphate groups, and addition of activating phosphate groups
(Kubiak 2011: 421).
The sophisticated molecular machinery of the cell cycle can detect lesions in the genome
and arrest the cell cycle progress for repairs. The location of the DNA lesion determines the
checkpoint where the cell cycle arrests. The molecular machine reacting to DNA lesions can be
divided into three distinct parts: 1) the sensor which detects the lesion and emits a signal, 2) the
signal transduction cascade relaying the signal to the 3) effector, which ultimately arrests the
cell cycle. When the cell cycle arrests in G1, replication of damaged genome is halted. Likewise,
if the cell cycle arrest in G2 due to chromosomal damage, entrance to mitosis is prevented,
providing time for repairs and avoiding mitotic catastrophe or irreversible loss of genetic
information. However, there exists a point within G1 which, when crossed, irreversibly commits
the cell for transition to S-phase and genome replication. The intra-S checkpoint allows for
repairs of DNA lesions in cells already committed to mitosis by transiently slowing the rate of
DNA synthesis (Kubiak 2011: 76; Smits & Gillespie 2015).
Cells facing replication stress can delay the onset of mitosis until genome replication is
completed by utilizing a distinct S-M checkpoint. Severe stress may prevent replication
completion, leading to stalled replication forks, which are thought to require either an active
process of checkpoint-mediated stabilization or rescue by converging forks to prevent a
dangerous fork collapse. During such crisis, the cells minimize the firing of additional
replication forks (Smits & Gillespie 2015, Cortez 2015).
2.6.2 Regulators of the cell cycle
Protein kinase B (PKB) is a highly conserved, critical signalling molecule. PKB belongs to the
AGC group of protein kinases, and it has over 50 proteins as putative substrates. Mammals have
three PKB isoforms: PKBα is ubiquitous, PKBβ is restricted to insulin-sensitive tissues, and
PKBγ is found in the brain and testis. Each isoform is encoded by a separate gene, yet amino
acid sequence, structure, and the three functional domains are highly similar between isoforms.
The functional domains consist of an amino terminal domain, a central catalytic domain, and a
carboxyl-terminal regulatory domain with a hydrophobic motif (Rommel et. al 2010: 32)
16
Phosphoinositide 3-kinase signalling activates PKB via phosphorylation of its catalytic
domain and PKB is stabilized by phosphorylation of the hydrophobic motif in the regulatory
domain. Active PKB phosphorylates a wide range of substrates involved in multiple cellular
processes, such as progression through the cell cycle, cell growth and differentiation, cell
survival or suppression of apoptosis, metabolism, angiogenesis, and motility (Rommel et. al
2010: 33).
Another prominent regulator, thee checkpoint kinase 1 (Chk1), controls all but the G1
checkpoint of the cell cycle. It is active in both embryonic and most proliferating somatic cells.
Although Chk1 is known best for its role in perturbed cell cycles, it is generally required for
successful cell division as well. When a cell experiences replication stress or suffers damage to
its genome, Chk1 function is amplified to trigger the activation replication and DNA damage
checkpoints, respectively. Although cell cycle checkpoints are crucial in preventing cell death
under conditions of acute genotoxic stress, each arrest must also be reversed after the event, or
the cell will be unable to resume mitosis (Smits & Gillespie 2015).
In response to DNA damage at G2, Chk1 inhibits CDC25 family phosphatases via a
combination of protein degradation and association with 14-3-3 proteins. Additionally, Chk1
stimulates the activity of Wee1 by phosphorylation. The combined effect causes a lasting
inhibition of CDK1 for as long as DNA damage persists, blocking the entry to mitosis. During
S-phase, Chk1 can mediate the degradation of CDC25A phosphatase, suppressing the activity
of CDK2. Inhibition of CDK2 slows the rate of DNA synthesis at S-M checkpoint (Smits &
Gillespie 2015).
The checkpoint functioning outside Chk1 influence is G1, which functions primarily under
p53, a protein encoded in mammals by Tp53 – a well-known and extensively researched
oncogene. Due to its role in apoptosis and tumour suppression, Tp53 has been popularly dubbed
as “Cellular Gatekeeper” and “Guardian of the Genome” (Woods & Vousden 2001). Tp53 is
the most frequently mutated gene in cancer, highlighting the crucial need of functional p53 in
DNA damage response (Speidel 2015). Roughly half of cancer incidents in humans can be
attributed to mutated, inactive Tp53 while the rest can be linked to defective Tp53-dependent
signalling pathways. Most common mutations are point mutations of a single amino acid,
leading to the production of defective p53, which lacks sequence-specific DNA binding ability
(Vazquez et al. 2008).
17
Tp53 is expressed continuously to produce p53. However, in normal, unstressed cells, p53
is quickly degraded due to efficient downregulation. Without any post-translational
modifications, p53 is checked by Mouse double minute 2 homolog (Mdm2). In addition to
forming complexes susceptible to proteasome degradation with p53, Mdm2 can directly inhibit
its translation, making it the primary negative regulator of Tp53 (Kubiak 2011: 431). However,
unmodified p53 is activated via signal transduction upon detection of multiple inner and
external signals of DNA damage and cellular stressors, such as lack of oxygen, decrease of
growth factors, ionizing radiation, UV-light, harmful chemicals, chemotherapy agents,
oncogene signalling and defective nucleotide synthesis. In response to these insults, p53 levels
inside the cell increase drastically within one hour of exposure (Speidel 2015; Chen &
Rajewsky 2007; Vazguez et al 2008). When exposure to such an event occurs, upstream sensory
kinases such as ATM and ATR phosphorylate the two serine residues of p53, stabilizing and
heightening its tetrameric structure, increasing lifespan and activity while simultaneously
decreasing affinity for Mdm2. Active p53 then binds to sequence-specific DNA and regulates
the transcription of its target genes, continuing the reaction initially triggered by a detected
stressor by a sensory kinase (Speidel 2015; Kubiak 2011: 431, Chen & Rajewsky. 2007;
Vasquez et al 2008; Gartel 2008).
One target gene targeted by active p53, CDKN1A, encodes a relatively small, 164 amino
acids long p21, which functions in the cell cycle downstream of p53. The promoter area of
CDKN1A contains two conserved binding sites with high affinity for active p53, the binding of
which accelerates p21 synthesis. In humans, transcription of CDKN1A is mainly regulated by
p53, although several factors with control over p53 indirectly regulate p21 synthesis as well
(Hayat et al. 2013: 154-155). A simple knock-out of the Tp53 encoding for p53 leads to decrease
in p21 levels and increase in cyclin-kinase-complexes, stimulating cell proliferation (Harper et
al 1993).
p21 associates with cyclins A, B, D1, and E, as well as cyclin-dependent kinases Cdk1,
Cdk2, and Cdk4/6. Additionally, p21 is well-documented to inhibit cyclin-kinase-complexes
D-Cdk4/6. Furthermore, p21 indirectly limits E-Cdk2 activity by inhibiting D-Cdk4/6 complex
activity and B-Cdk1 activity by association with 14-3-3σ-protein, which blocks B-Cdk1
complex localization to nucleus (Chen & Rajewsky 2007, Harper et. al 1993, Hayat et al. 2013:
155-156). In addition to having a binding-site for cyclins and kinases in its amino- and carboxyl-
terminal ends, respectively (Abbas & Dutta 2009), p21 contains separate binding sites for
procaspase-3 and proliferating cell nuclear antigen (PCNA). Finally, p21 contains a nuclear
18
localization sequence which allows it to move to the nucleus from the cytosol. All in all, p21 is
known to induce the expression of 55 genes, but disrupting the expression of up to 77 genes
(Hayat et al. 2013: 155-157). Aside from cell cycle arrest, p21 plays a role in multiple cellular
events, such as apoptosis, rescue from apoptosis, senescence, DNA replication and repair, and
in some cases, it may even accelerate cell cycle progression (Yousefi & al. 2016).
p21 is a potent regulator of the cell cycle, capable of arresting progression in G1/S and G2/M
checkpoints by inhibiting CDK4,6/cyclin-D and CDK2/Cyclin-E complexes, respectively.
CDK-cyclin-complexes advance the cell cycle by partially phosphorylating retinoblastoma
(Rb), and p21 prevents this interaction. Although an arrest of the cell cycle initiated by sensory
kinases in G1/S phase does occur via a p53-dependent process, p53 is not an absolute factor for
cell cycle arrest. In this case, however, p53 activates p21, which maintains the arrest by
suppressing CDK2 activity (Kubiak 2011: 431; Yousefi & al. 2016).
2.7. Role of histones in the repair of eukaryotic DNA
Eukaryotic DNA is tightly bound to small histone proteins and orderly packaged within the cell
nucleus. The histones – called H1, H2A, H2B, H3 and H4 – are rich in positively charged amino
acids arginine and lysine, which facilitates binding to negatively charged DNA. Histones form
the nucleosome core particle consisting of a histone octamer with two copies each of histone
H2A, H2B, H3, and H4. The DNA is wrapped around the core particle and sealed by histone
H1. Repeating units of nucleosomes connected by linker DNA form chromatin, which, due to
the abundant presence of various nonhistone proteins, typically has a protein-to-DNA ratio of
2:1. These nonhistone proteins are involved in a range of activities, including DNA replication
and gene expression (Zhu et al. 2016; Cooper et al. 204-207).
The degree of chromatin condensation allows for additional control over gene expression.
Loosely condensed chromatin is readily accessed by replication and gene expression
machinery, and often contains additional RNA elements associated with them. Conversely,
densely packaged chromatin blocks access to the DNA due to steric constraints. Multiple
enzymes can modify histones post-translationally to induce methylation, acetylation, or
phosphorylation, all three of which dramatically influence how DNA is accessed (Zhu et al.
2016; Cooper et al. 207 p.).
19
H2AFX (H2A histone family, member X) is a gene variant of histone H2A encoding for
protein H2AFX, which is essential to the cell due to its role in DNA DSBs. H2AFX has at least
two upstream activators depending whether the damage originates from replication stress or
ionizing radiation. Inactive H2AFX activates via phosphorylation at serine-139 to form active
γH2AFX in reaction to a DSB. Activated form contributes to error-free homologous
recombination repair and genomic stability. Experiments determined that H2AFX-deficient
mice are more vulnerable against genotoxic insults than their wild-type counterparts. Because
γH2AFX spreads over a large area around a DNA lesion, it makes for an excellent biomarker
for detection of DSBs (Zhu et al. 2016).
γH2AFX functions by recruiting chromatin remodelling complexes and promoting histone
acetylation to render the chromatin environment surrounding the DNA more accessible for
repair factors. For above reasons, γH2AFX is tightly regulated by several factors, such as ATM
and MDC1. Once the cell has completed repairs, γH2AFX must be eliminated before the cell
cycle can resume. SWR1 can replace γH2AFX with another variant of the H2, and several
phosphatases can also remove γH2AFX by reversing the phosphorylation (Zhu et al. 2016).
2.8 Mitochondrial quality control
Healthy mitochondria are essential for cellular physiology and homeostasis. Cells possess
multiple control pathways to maintain a healthy population of mitochondria. Mitochondrial
components regularly sustain damage from ROS by-products despite the presence of ROS-
scavenging enzymes with antioxidant properties. Damaged mitochondrial organelles are either
sequestered or diluted through the dynamic processes of mitochondrial fission and fusion.
Mitophagy-pathway for autophagy of mitochondria ultimately targets excessively damaged
mitochondria to lysosomes for degradation (Bingol & Sheng 2016).
Two important genes linked to mitochondrial integrity and quality control are the E3
ubiquitin-ligase Parkin – named after its association with Parkinson’s disease – and a
Serine/Threonine protein kinase PINK1, located upstream of Parkin in the genetic pathway.
PINK1, a mitochondrially localized kinase, is responsible for activating and translocating
Parkin into the damaged mitochondria. Activated Parkin then builds ubiquitin chains on
damaged mitochondria to mark them for destruction by mitophagy (Bingol & Sheng 2016).
20
Parkin is a protein of interest in mitochondrial toxicity studies because elevated levels of Parkin
may indicate damaged or stressed mitochondria.
Typically, some copies of mtDNA within the cell are defective mutants. A mixture of wild-
type and defective mtDNA in a cell is a state known as heteroplasmy. Because mitochondria
are inherited maternally, high degree of heteroplasmy can pass directly to offspring.
Additionally, because mitochondrial components are dual-genomic in origin, heteroplasmy
may be inherited indirectly via loss-of-function mutations of nuclear genes that code for
mitochondrial elements. In either case, severe heteroplasmy causes mitochondrial dysfunction.
Mutated mtDNA can expand clonally and create mosaic patterns of respiratory chain deficiency
in various tissues (Hällberg & Larsson 2014; Shadel & Bestwick 2013; White et al. 2016).
The deleterious effects of heteroplasmy manifest only when the percentage of functional
wild-type mtDNA decreases significantly. Depending on the mutation, defective mtDNA must
accumulate to >60-90 % of total mtDNA before OXPHOS activity is compromised. A host of
mitochondria-related diseases with a broad range of clinical phenotypes, collectively termed
encephalomyopathies, can arise when the heteroplasmy threshold is crossed. The exact nature
of the disease depends on the tissue affected. Deletion, depletion and damage of mtDNA can
be the primary cause of disease, as is the case with Alpers syndrome, but is often secondary,
such as in Parkinson’s disease (Moraes et al. 2010; Chan & Mishra 2014).
Targeted cleaving of mtDNA by specific restriction endonucleases may become a viable
therapy method for patients with heteroplasmic mtDNA disorders. In cases where the mutation
causes a unique binding site, there is potential for a specific restriction enzyme to recognize and
cleave subpopulations of defective mtDNA. Cleaved mtDNA degrades rapidly, allowing wild-
type mtDNA to expand clonally and cause a shift in heteroplasmy (Moraes et al 2010; Moraes
et al 2012).
3 AIM OF THE THESIS
The aim of this thesis is to examine how HEK-293 cells respond to partial and transient mtDNA
depletion using an inhibitor of mtDNA replication, 2′-3′-dideoxycytidine (ddC). Although
essential for mitochondrial function, it is not clear how much mtDNA is required by the cell.
By eliminating mtDNA by replication inhibition, it is possible to make a rough estimate of how
21
little mtDNA suffices to maintain mitochondrial function. Furthermore, replication inhibition
results in stalled replication forks and double-strand breaks, whose effects on the host cell have
been unexplored. To obtain insight into these cellular responses, the proteins involved in in
mitochondrial function and DNA damage response were assayed during and after ddC
exposure. Additionally, mitochondrial transcript levels were measured to determine whether
the decline in mtDNA influences mitochondrial gene expression. To complement the data
obtained from mtDNA depletion experiment, double-strand breaks of mtDNA were examined
separately by utilizing a mitochondrially targeted restriction enzyme, ApaLI.
4 MATERIALS AND METHODS
4.1 Exposure and recovery of HEK cells to ddC
Human embryonic kidney cells (HEK-293) were grown in order to measure ddC-induced
mtDNA copy number depletion, damage, and cellular stress. The cells were grown in Biowest
low glucose Dulbecco’s Modified Eagle Medium (DMEM) containing stable glutamine and
sodium pyruvate. Foetal bovine serum (FBS) was added to the DMEM for a FBS concentration
of 10 %. Introduction of ddC into the growth medium occurred 24 and 48 hours prior to
collection. One batch of cells was designated as control and did not receive any ddC. To study
cell recovery following ddC toxicity, two cell batches were exposed to ddC for 48 hours, after
which one of them was collected while the other was re-seeded onto three growth plates
containing ddC-free growth medium. These cells constituted the three timepoints, denoted as
+16, +32 and +64 hours, of the recovery phase. The seeding of recovering cells was done in
suitable cell densities to ensure a sufficient and consistent yield for each batch at the end of
each of each recovery time, after which the cells were collected. Thus, a total of five timepoints
constitute the experiment time window for measuring the exposure and subsequent recovery of
HEKs to ddC. The time window was replicated in quadruplicate.
Pure ddC is white, crystalline powder with a molecular weight of 211,24. A stock
concentration of 100 mM ddC was prepared by adding 21 mg of ddC in 1 ml of sterile water
and mixed on a rotator for 20 minutes. HEK cells were exposed to 175 µM ddC concentration
by adding 5,25 µl of 100 mM stock solution in 3 ml of growth medium. After exposure, the
growth medium was removed and the cells were first washed and then suspended in phosphate-
22
buffered saline (PBS), pelleted down and frozen at -20 °C to await analysis. Approximately 60
% of cell yield was allocated for DNA extraction and the remaining 40 % for protein extraction.
4.2 DNA extraction, purification and Southern blot -analysis
Frozen cell pellets were immersed in 400 µl of DNA lysis buffer (10 mM Tris, pH 7.4; 10 mM
EDTA; 150 mM NaCl; SDS 0.4 %). After thorough mixing, 20 µl of Proteinase K (10 mg/ml)
was added. The samples were incubated at 50 °C for 2 hours to allow protein digestion. RNA
digestion was accomplished by adding of10 µl of RNAse A (10 mg/ml) followed by 10-minute
incubation at 37 °C. Finally, 40 µl of 5 M NaCl was added to assist phase separation for the
next stage.
DNA purification and extraction was done by adding an equal volume of 25:24:1
phenol/chloroform/isoamyl alcohol. After manual shaking, the samples were centrifuged at
15,000 g for 5 minutes. Next, the upper water phase was collected into fresh Eppendorf tubes,
and the extraction was repeated once with phenol/chloroform/isoamyl alcohol and again with
pure chloroform to remove phenol traces. The nucleic acids were precipitated by adding 0.1
times the total sample volume of 3 M sodium acetate and 0.6 times the total sample volume of
isopropanol alcohol. After a brief mixing, the samples were placed in −20 °C for two hours and
then centrifuged at 15,000 g for 10 minutes. The supernatant was decanted and the pellet
washed with 99 % EtOH, then allowed to air-dry. The near-dry pellets were dissolved in 300
µl of TE-buffer (10mM Tris-HCl, 1mM EDTA•Na2) overnight at 4 °C. A 30 µl fraction from
each sample was digested with 3 µl of restriction enzyme BamH1 in 3.5 µl of Fast Digest buffer.
The samples were left to incubate overnight at 4 °C. DNA concentration of each sample was
measured with a Nanodrop ND-1000 spectrophotometer.
The samples were heated for 5 minutes at 60 ° C to allow the detection of 7sDNA prior to
electrophoresis, then 1 µg of DNA from each sample was loaded on 0.4 % agarose gel with 2
µl of 10x DNA loading buffer and sterile water for a total loading volume of 20 µl.
Electrophoresis was done overnight at 30 V and the gel was stained with 10 µl of EtBr in 200
mL of TBE for 30 minutes with gentle agitation. The gel was immersed in depurination solution
(0.25 M HCl) twice for 15 minutes each, and then immersed in denaturation solution (0.5 M
NaOH; 1.5M NaCl, pH 7.2) for 25 minutes. The contents of the gel were transferred on a nylon
blotting membrane in 20x SSC (3M NaCl, 0.3M Na-Citrate) buffer. After transfer, the
23
membrane was neutralized by a one minute in neutralization buffer (1 M Tris-HCl, 2M NaCl),
then baked for 2 hours at 80 °C to cross-link the DNA to the membrane.
The membrane was placed in a hybridization cylinder and pre-hybridized in Church’s
hybridization buffer (240 mM NaPi; pH 7.2, 7 % SDS, 1mM EDTA) for 20 minutes at 65 °C
in the hybridization oven. A 12S probe was prepared and added. Hybridization continued
overnight. The hybridized membrane was washed twice with 5xSSC and twice with 1xSSC for
20 minutes each time. The membrane was exposed on a Kodak SO230 storage phosphor screen
and the data quantified with Quantity One® software (Bio-Rad).
4.3 Total protein extraction and Western blot analysis
The total protein content of each sample was extracted by lysing frozen cell pellets in four times
of their volume of TOTEX buffer (20 m Hepes; at pH 7.9, 0.35 M NaCl, 20% glycerol, 1% NP-
40, 1 mM MgC12, 0.5 mM EDTA, 0.1 mM EGTA, 50 mM NaF and 0.3 mM NaV03). The lysed
samples were kept on ice and vortexed occasionally for 10 minutes. The samples were flash
frozen with liquid nitrogen to enhance extraction. Once thawed, they were centrifuged for 10
minutes at 15,000 g in 4 °C. The supernatant was collected, and a 2 µl fraction from each sample
was used for Bradford protein assay (Bradford 1976). Protein content was measured using a
FLUOstar Omega microplate reader by BMG Labtech.
SDS-PAGE electrophoresis was done by mixing 30 µg of protein with 2 µl of 5x Laemmli
Sample Buffer (60 mM Tris-Cl pH 6.8, 2% SDS, 10% glycerol, 10% dithiothreitol, 0.01%
bromophenol blue). Volume of each sample was equalized with sterile water to 20 µl. The
samples were heated in the mixing block for 10 minutes at 95 °C before loading. The acrylamide
content of the gel was 12 % for optimal separation of proteins in the 10-200 kDa range.
Electrophoresis duration was 90 minutes at 100 V.
The Western blot membrane was primed by brief submerge in Millipore water and a 5-
minute immersion in transfer buffer. Transfer membrane was done at 4 °C at 40 V overnight.
Ponceau S staining was used to visually confirm transfer. To prevent undesired antibody
binding, the membrane was incubated in Tris-buffered saline (TBST; 50 mM Tris-Cl, pH
7.6; 150 mM NaCl) containing 5 % milk powder for 60 minutes. After a brief wash with TBST,
the membrane was submerged in 10 mL of 3 % bovine serum albumin (BSA) in TBST
24
containing the primary antibody (AB) for the protein of interest. Primary AB incubation was
done overnight at 4 °C with gentle agitation.
After primary AB incubation, the membrane was washed in TBST three times for 20
minutes each, and then immersed in 10 mL of 3% BSA in TBST containing the secondary AB.
Incubation was for 60 minutes at room temperature with gentle agitation. After three washes in
TBST for 20 minutes each, the membrane was covered with Luminol solution (50 mg Na-
Luminol sodium salt by Sigma-Aldrich, 100 ml 0.1 M Tris-HCl; pH 8.5, 62 µl 30 % H2O2) and
imaged using a UVP Biospectrum 810 imaging system. The acquired data was quantified using
VisionWorksLS Acquisition and Analysis software version 8.16.
The proteins of interest for WB detection were chosen due to their roles in DDR, cell cycle,
oxidative stress, and other essential cellular processes. Proteins functioning both inside and
outside mitochondrial origin were selected. Nuclear proteins that do not translocate inside
mitochondria were Chk1, a cell cycle mediator; p21, a cyclin dependent kinase inhibitor; p53,
a tumour suppressor; H2AFX, a histone protein associated with DSBs; PKB, a multi-purpose
serine/threonine-specific protein kinase; and Parkin, a ligase of the proteasomal degradation
machinery. Proteins that function inside mitochondria were MRPL11, a mitochondrial
ribosomal component that is useful when estimating mitoribosomal abundance; TFAM, the
major mitochondrial transcription factor; and UQCRC2, a component of the complex III
associated with oxidative stress.
To quantify detected proteins, a ubiquitous and continuously expressed control protein was
needed. Vinculin is a 117 kDa focal adhesion protein and one of the main components of the
cell’s mechanosensory machine (Atherton et al. 2016). Due to its vital role in mechanosensing
and homeostasis, Vinculin level in a cell remains constant, making it useful in protein
expression studies. In this thesis, Vinculin is used as the primary control for WB quantification
of cytosolic proteins. For mitochondrial proteins, the ubiquitous, pore-forming VDAC is used
instead.
During initial quantification, p21 was observed to fluctuate considerably. The fluctuation
may be explained by active cell cycles of dividing cells instead of exposure to ddC. For this
reason, the original experiment was repeated with the exception that the HEK cells were
confluent prior to harvesting, reducing the number of mitotic cells. Three replicates of each
timepoint were used. The harvested cells were used for an additional Western Blot detection of
p21, with Vinculin as control.
25
4.4 RNA extraction and Northern blot analysis
To determine RNA content of HEK cells during ddC exposure and recovery, the ddC exposure
and recovery experiment was repeated. The cells were lysed by removing the growth medium
and adding 1 mL of TRI-reagent. The resulting homogenate was scraped into 1 mL Eppendorf
tubes and 200 µl of chloroform was added. The samples were vortexed continuously for 10
seconds and immediately centrifuged at 12,000 g for 15 minutes at 4 °C. The upper phase was
collected into fresh tubes with 500 µl of isopropanol. After a 10-minute incubation at RT, the
samples were centrifuged at 12,000 g for 10 minutes at 4 °C. Supernatant was decanted and 1
mL of 70 % EtOH was added. The samples were vortexed and centrifuged for 5 minutes at
15,000 g at 4 °C. Ethanol was removed and the pellets were dissolved in 50 µl of purified,
sterile water. The samples were heated at 60 °C for 10 minutes prior to RNA concentration
measurement on a Nanodrop-1000 spectrophotometer.
Electrophoresis equipment was prepared with RNaseZap® RNase Decontamination
Solution and a 2 % agarose gel was prepared. The running buffer used contained 37 %
formaldehyde in 1x MOPS (3-(N-morpholino) propanesulfonic acid) solution. The
electrophoresis samples were prepared by adding 5 µg of RNA into fresh Eppendorf tubes and
equalizing the sample volumes to 5.5 µl with RNase-free water, then adding 1 µl of 10x MOPS
buffer, 3.5 µl formaldehyde, and 10 µl formamide. The samples were heated at 65 °C for 15
minutes and snap cooled on ice for 5 minutes. Meanwhile, the agarose gel was pre-run for 5
minutes at 60 V. After adding 2 µl of RNA loading dye for a total loadout volume of 22 µl, the
samples were vortexed, spun down and immediately loaded. The electrophoresis was done
overnight at 50 V.
Successful electrophoresis was confirmed under UV-light. The gel was washed with sterile
water before incubation in 20x saline-sodium-citrate buffer (SSC) for 20 minutes with gentle
agitation. The gel was capillary blotted onto a nylon membrane. The RNA was crosslinked onto
the membrane by baking it at 80 °C for 2 hours.
The crosslinked membrane was pre-hybridized in Church’s hybridization buffer for 60
minutes. A probe to detect the ND2 transcript was added and hybridization continued overnight
at 65 °C. The hybridized membrane was washed once with 5x SSC containing 0.1 % SDS and
1x SSC containing 0.1 % SDS for 5 and 20 minutes, respectively. Finally, the hybridized
26
membrane was developed using a phosphor screen. A similarly prepared probe for 18S was
used to acquire a quantification control.
4.6 DNA double-strand break experiment with transfected HEKs expressing ApaLI
To study how double-strand breaks (DSB) affect mtDNA, a stable cell line of transfected HEKs
with a gene construct for the expression of a restriction enzyme, ApaLI, was utilized. Because
ApaLI is nuclear in origin and cleaves nuclear DNA in addition to mtDNA, the gene construct
contained an attached mitochondrial targeting sequence (MTS), which transports it to
mitochondria. For easy transfection confirmation with WB detection, the gene construct
contained a Human Influenza hemagglutinin (HA) protein tag (Bayona-Bafaluy et al. 2005).
The MTS-ApaLI-HA was constructed by cleaving two plasmids with a single restriction
enzyme. One plasmid contained ApaLI and the MTS, while the other contained the HA tag.
Additionally, the plasmid containing ApaLI was cut in the ´3 direction to accommodate the HA
tag. The resulting fragments were separated by agarose gel electrophoresis, extracted and
ligated together.
The expression of ApaLI is inducible with a small concentration of doxycycline, which lifts
the repressor bound to the ApaLI operator. Active ApaLI transports inside mitochondria and
cleaves mtDNA at a specific site, generating DSBs and degrading the mtDNA.
Three replicates of transfected HEKs, each containing five timepoints and an untreated
control, were cultured. The experimental timepoints were 4, 8, 16, 24, and 48 hours of
doxycycline exposure, with no timepoints dedicated for recovery. Doxycycline stock solution
is 1000 µg/ml and 10 µl of it was diluted in 99 % EtOH for 100 µg/ml concentration. Adding
5 µl of diluted doxycycline in 10 ml of growth medium yielded a final concentration of 50
ng/ml.
The cells were collected and divided into protein and DNA fractions and prepared according
to the protocol described in chapter 3.1. Preparation and analysis of harvested samples
proceeded according to the protocols described in chapters 3.2 and 3.3, with a few exceptions.
Instead of using 1 µg of DNA for SB electrophoresis, 500 ng of DNA was used and 7S detection
was forgone. Additionally, a ND6 probe was used for hybridization instead of 12S. Western
27
blot detection included p53 and p21, along with Anti-HA for transfection verification, with
Vinculin as control for all three proteins.
5 RESULTS
5.1 Depletion of mitochondrial DNA copy number by ddC
We treated HEK cells with ddC to induce depletion of mitochondrial DNA copy number via
inhibition of DNA polymerase γ, and studied the expression of proteins associated with damage
control and DNA repair. A Southern blot analysis reveals the depletion ddC exerts on mtDNA
of HEK cells (Fig. 2).
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
d d C m tD N A c o p y n u m b e r d e p le tio n
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
rc
en
tag
e o
f c
on
tro
l
28
-2 0 0 -1 0 0 0 1 0 0 2 0 0
0 - 2 4
0 - 4 8
0 - + 6 4
0 - + 8 0
0 - + 1 1 2
2 4 - 4 8
2 4 - + 6 4
2 4 - + 8 0
2 4 - + 1 1 2
4 8 - + 6 4
4 8 - + 8 0
4 8 - + 1 1 2
+ 6 4 - + 8 0
+ 6 4 - + 1 1 2
+ 8 0 - + 1 1 2
9 5 % C o n fid e n c e In te rv a ls (T u k e y )
D if fe r e n c e b e tw e e n g r o u p m e a n s
C o lu m n m e a n s d iff.
****
**
**
****
***
Figure 2. Above: The level of mtDNA as percentage of an untreated control group (0-hour)
during a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent
64-hour recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
Below: ANOVA results displayed as 95% confidence intervals between timepoints. Statistical
significance between groups, if present, represented by stars (* = P ≤ 0.05; ** = P ≤ 0.01; ***
= P ≤ 0.001). Error bars indicate standard deviation both above and below.
Additionally, the depletion effect observed in mtDNA copy number depletion is correlated
by the depletion of 7S DNA (Fig. 3).
29
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
7 s m tD N A c o p y n u m b e r d e p le tio n
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
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-2 0 0 -1 0 0 0 1 0 0 2 0 0
0 - 2 4
0 - 4 8
0 - + 6 4
0 - + 8 0
0 - + 1 1 2
2 4 - 4 8
2 4 - + 6 4
2 4 - + 8 0
2 4 - + 1 1 2
4 8 - + 6 4
4 8 - + 8 0
4 8 - + 1 1 2
+ 6 4 - + 8 0
+ 6 4 - + 1 1 2
+ 8 0 - + 1 1 2
9 5 % C o n fid e n c e In te rv a ls (T u k e y )
D if fe r e n c e b e tw e e n g r o u p m e a n s
C o lu m n m e a n s d iff.
****
**
**
****
***
Figure 3. Above: The level of 7S DNA as percentage of an untreated control group (0-hour)
during a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent
64-hour recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
Below: ANOVA results displayed as 95% confidence intervals between timepoints. Statistical
significance between groups, if present, represented by stars (* = P ≤ 0.05; ** = P ≤ 0.01; ***
= P ≤ 0.001). Error bars indicate standard deviation both above and below.
30
5.2 Quantification of proteins of ddC-treated HEK cells
Multiple nuclear genes encode for proteins functioning outside the mitochondria in cellular
stress and damage responses. Several such proteins were quantified with Western blot analysis.
The proteins of interest were p21, p53, H2AFX, Chk1, and PKB. Vinculin was used as control
for each quantification. Some fluctuation in p21 levels was observed, and an unpaired t-test
does display a significant statistical difference between 24-hour and +64-hour timepoints (P =
0.04). However, the significance is not detectable with ANOVA (P = 0.16, Fig. 4).
31
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
p 2 1 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
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-2 0 0 -1 0 0 0 1 0 0 2 0 0
0 - 2 40 - 4 8
0 - + 6 40 - + 8 0
0 - + 1 1 22 4 - 4 8
2 4 - + 6 42 4 - + 8 0
2 4 - + 1 1 24 8 - + 6 44 8 - + 8 0
4 8 - + 1 1 2+ 6 4 - + 8 0
+ 6 4 - + 1 1 2+ 8 0 - + 1 1 2
9 5 % C o n f id e n c e In te rv a ls (T u k e y )
D iffe re n c e b e tw e e n g ro u p m e a n s
C o lu m n m e a n s d iff.
Figure 4. Above: The level of p21 as percentage of an untreated control group (0-hour) during
a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112). Below:
ANOVA results displayed as 95% confidence intervals between timepoints. Error bars indicate
standard deviation both above and below.
The level of Chk1, PKB, H2AFX, and p53 remained consistent throughout the experiment,
with no statistical significance between the timepoints (Figs. 5-8).
32
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
C h k 1 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
tro
l
Figure 5. The level of Chk1 as percentage of an untreated control group (0-hour) during a 48-
hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
33
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
p 5 3 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
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Figure 6. The level of p53 as percentage of an untreated control group (0-hour) during a 48-
hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
34
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
H 2 A F X /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
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on
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Figure 7. The level of H2AFX as percentage of an untreated control group (0-hour) during a
48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
35
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
P -A k t/V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
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Figure 8. The level of P-Akt as percentage of an untreated control group (0-hour) during a 48-
hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
In addition to non-mitochondrial protein quantification, several proteins functioning inside
the mitochondria were quantified with Western blot analysis. The proteins of interest were
MRPL11, TFAM, UQCRC2, and Parkin. Although nuclear in origin, these proteins translocate
into the mitochondria after translation. For this reason, VDAC was used as a control protein
instead of Vinculin. The levels for all proteins remained consistent throughout the experiment,
and no statistically significant differences were detected (Figs. 9-12).
36
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
M R P L 1 1 /V D A C
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
f c
on
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Figure 9. The level of MRPL11 as percentage of an untreated control group (0-hour) during a
48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
37
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
T F A M /V D A C
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
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on
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Figure 10. The level of TFAM as percentage of an untreated control group (0-hour) during a
48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
38
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
U Q C R C 2 /V D A C
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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on
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Figure 11. The level of UQCRC2 as percentage of an untreated control group (0-hour) during
a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
39
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
P a rk in /V D A C
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
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on
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Figure 12. The level of Parkin as percentage of an untreated control group (0-hour) during a
48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
The fluctuation of p21 levels observed during exposure to ddC are not explained by cellular
stressors alone, because p21 levels naturally change in mitotic cells during their cell cycle. To
test this, the original ddC experiment was repeated in detail, but this time the cells reached
confluence prior to harvesting, reducing the number of mitotic cells. The confluent cells have
a statistically significant difference in p21 levels between 24-hour and +112-hour timepoints (P
= 0.04, Fig. 5).
40
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
C o n tro l fo r p 2 1 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
e o
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on
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-5 0 0 5 0 1 0 0
0 - 2 40 - 4 8
0 - + 6 40 - + 8 0
0 - + 1 1 22 4 - 4 8
2 4 - + 6 42 4 - + 8 0
2 4 - + 1 1 24 8 - + 6 44 8 - + 8 0
4 8 - + 1 1 2+ 6 4 - + 8 0
+ 6 4 - + 1 1 2+ 8 0 - + 1 1 2
9 5 % C o n f id e n c e In te rv a ls (T u k e y )
D iffe re n c e b e tw e e n g ro u p m e a n s
C o lu m n m e a n s d iff.
*
Figure 13. Above: The level of p21 as percentage of an untreated control group (0-hour) during
a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent 64-hour
recovery period in a ddC free environment with three timepoints (+64, +80, and +112). This
experiment was a replication of the original ddC exposure. Below: ANOVA results displayed
as 95% confidence intervals between timepoints. Statistical significance between groups, if
present, represented by stars (* = P ≤ 0.05; ** = P ≤ 0.01; *** = P ≤ 0.001). Error bars indicate
standard deviation both above and below.
41
5.3 Quantification of RNA levels of cells exposed to ddC
To determine whether ddC influences protein expression via interactions with RNA, the ddC
exposure and recovery experiment was replicated to collect RNA for a Northern blot. The blot
was then probed with ND2 and 18S for control. The RNA levels increase visibly within 24-
hours into ddC exposure and remain elevated throughout the experiment (Fig 6). Statistically
significant difference was found with ANOVA between 0-hour and 24-hour timepoints (P =
0.04), and 0-hour and 64-hour timepoints (P = 0.0095).
42
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
2 5 0
d d C R N A N o rth e rn N D 2 /1 8 S
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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-2 0 0 -1 0 0 0 1 0 0 2 0 0
0 - 2 40 - 4 8
0 - + 6 40 - + 8 0
0 - + 1 1 22 4 - 4 8
2 4 - + 6 42 4 - + 8 0
2 4 - + 1 1 24 8 - + 6 44 8 - + 8 0
4 8 - + 1 1 2+ 6 4 - + 8 0
+ 6 4 - + 1 1 2+ 8 0 - + 1 1 2
9 5 % C o n f id e n c e In te rv a ls (T u k e y )
D iffe re n c e b e tw e e n g ro u p m e a n s
C o lu m n m e a n s d iff.
*
**
Figure 14. Above: The level of RNA as percentage of an untreated control group (0-hour)
during a 48-hour exposure to ddC with two timepoints (24 and 48), followed by a subsequent
64-hour recovery period in a ddC free environment with three timepoints (+64, +80, and +112).
Below: ANOVA results displayed as 95% confidence intervals between timepoints. Statistical
significance between groups, if present, represented by stars (* = P ≤ 0.05; ** = P ≤ 0.01; ***
= P ≤ 0.001). Error bars indicate standard deviation both above and below.
43
5.4 Double-strand breaks in ApaLI induced HEK cells
A stable cell line of transfected HEK cells were used to study ApaLI induced mtDNA DSBs.
The MTS-ApaLI-HA gene construct was inducible with doxycycline to express ApaLI
restriction enzyme to interact with mtDNA. The HA-protein tag was utilized for confirmation
of transfection with Western blot analysis. A Southern blot analysis of mtDNA levels revealed
no statistically significant differences between experiment timepoints (Fig 7., P = 0.10).
0 4 816
24
48
0
1 0 0
2 0 0
3 0 0
A p a L I m tD N A D S B
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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-3 0 0 -2 0 0 -1 0 0 0 1 0 0 2 0 0
0 - 40 - 8
0 - 1 60 - 2 40 - 4 8
4 - 84 - 1 64 - 2 44 - 4 88 - 1 68 - 2 48 - 4 8
1 6 - 2 41 6 - 4 82 4 - 4 8
9 5 % C o n f id e n c e In te rv a ls (T u k e y )
D iffe re n c e b e tw e e n g ro u p m e a n s
C o lu m n m e a n s d iff.
44
Figure 15. Above: The level mtDNA as percentage of an untreated control group (0-hour)
during a 48-hour ApaLI induction with doxycycline. Below: ANOVA results displayed as 95%
confidence intervals between timepoints. Error bars indicate standard deviation both above and
below.
5.5 Protein levels of HEK cells transfected with ApaLI.
Nuclear proteins p53 and p21, involved in DNA repair and damage response, were quantified
to determine whether ApaLI was successfully transported and remained sequestered within the
mitochondria. No statistically significant differences were detected either on p53 or p21 levels,
suggesting that ApaLI remained sequestered within mitochondria and did not interact with
nuclear DNA (Figs. 16 and 17).
024
48
+64
+80
+112
0
5 0
1 0 0
1 5 0
2 0 0
A p a L I p 5 3 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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Figure 16. The level of p53 as percentage of an untreated control group (0-hour) during a 48-
hour ApaLI induction with doxycycline. Error bars indicate standard deviation.
45
0 4 816
24
48
0
5 0
1 0 0
1 5 0
2 0 0
2 5 0
A p a L I p 2 1 /V in c u lin
E x p o s u r e a n d re c o v e r y t im e (h o u rs )
Pe
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tag
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on
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Figure 17. The level of p21 as percentage of an untreated control group (0-hour) during a 48-
hour ApaLI induction with doxycycline. Error bars indicate standard deviation.
6 DISCUSSION
6.1 Depletion of mitochondrial DNA
The mitochondrial toxicity of ddC is apparent by the marked decrease of mtDNA in exposed
HEK-293 cells. Inhibition of DNA polymerase γ by ddC halts replication progress, but not
DNA-unwinding helicase activity or the firing of replication forks. Fired replication forks stop
advancing and, unable to resume, collapse and cause double-strand breaks in the mtDNA,
leading to its degradation and ultimately the depletion of mtDNA copy number. A ddC
concentration of 175 µM in the growth medium is enough to deplete 70% of mtDNA in 48
hours (Fig 2).
Significant loss of mtDNA has consequences to mitochondrial function and various
biosynthetic pathways of the cell (Chandel & Schumacker 1999). However, it is possible to
46
create a HEK-293 cell line that is entirely devoid of mtDNA, but at the cost of functional
OXPHOS machinery, resulting in cells that are auxotrophic for both pyruvate and uridine
(Jazayeri et al. 2003).
In the ddC exposure and recovery experiment, HEK cells exposed to ddC recovered for 64
hours in a ddC-free growth medium. The reservoir of ddCTP-choline that accumulates during
the exposure period potentially slows the repopulation of mtDNA of HEK cells in a clean
environment by gradually transforming back into toxic ddCTP, indicated by only a modest
repopulation of mtDNA after 16 hours. Within 32 hours, however, mtDNA repopulates to
baseline level (Fig. 2).
6.2 Activation of cellular DNA repair signalling
In addition to studying ddC induced mtDNA copy number depletion, Western blot analyses of
p53, p21, and H2AFX were performed to determine whether ddC triggers signal transduction
cascades associated with key DNA repair factors or the cell cycle of affected cells.
Level of p53 remained constant throughout exposure to ddC and the subsequent recovery.
This would suggest that p21 level remained constant as well. However, there is a declining
trend in p21 levels throughout the experiment and a statistically significant difference (P < 0.04)
after 24 hours of exposure and 64 hours of recovery. The ability of p21 to act – in some cases
– independently of p53 may explain the inconsistency.
Exposure to ddC does not appear to recruit H2AFX to combat DSBs caused by stalled
replication forks. No statistical significance of H2AFX levels between different timepoints
could be elucidated by Western blot analysis. In conclusion, it appears that ddC-induced
mtDNA replication inhibition does not trigger DNA repair signalling cascades.
Furthermore, the level of MRPL11, TFAM, and UQCRC2 remained relatively stable
throughout the experiment, suggesting that mtDNA depletion did not have a significant effect
on mitochondrial gene expression.
Mitophagy is a cellular mechanism for the decommission mitochondria damaged beyond
repair. Active form of Parkin builds ubiquitin chains on damaged mitochondria, tagging them
for mitophagy. Based on the data acquired by Western blot analysis of Parkin, degradation of
mtDNA does not translate to increased mitophagy events, as no statistically significant
47
difference was found between the timepoints of ddC exposure and recovery. Reason for this
could be the failure of PINK1 to activate or translocate Parkin into the mitochondria.
Alternatively, the depletion of mtDNA copy number may not be sufficient grounds for
mitophagy, in part due to functional mtDNA remaining available to some extent.
Mitochondria likely possess compensatory mechanisms which allow them to tolerate
transient albeit severe mtDNA depletion while simultaneously maintaining mitochondrial
function and gene expression. In the ddC exposure and recovery experiment, mtDNA
repopulated to baseline level in 32 hours after more than two thirds of mtDNA was observed to
be depleted (Fig 2).
One probable way mitochondria compensate for mtDNA depletion is a temporal increase in
transcription and translation of remaining mtDNA, which appears to be the case with ddC-
induced depletion, during which a marked increase of RNA transcripts was observed for both
ddC exposure and early stages of recovery (Fig. 6). However, this increase in RNA transcript
levels did not translate to a marked increase of mitochondrial OXPHOS proteins, the levels of
which remained stable throughout the entire experiment.
An alternative explanation is that mitochondrial lifespan is extended as a response to mtDNA
depletion, but the observed increase in RNA expression does not support it, as ND2 should
behave similarly to mtDNA and get divided between daughter cells during mitosis.
A successful transfection of ApaLI was confirmed via detection of the HA-tag. Stable levels
of p53 and p21 suggest that ApaLI expression, if any, remained sequestered in the
mitochondrion.
7 CONCLUSIONS
Mitochondrial DNA replication stalling or double-strand breaks did not result in any detectable
stress in host cell, such as activation of DNA repair signalling or removal of non-functional
mitochondria by mitophagy. This indicates that acute mtDNA damage by itself is, first of all,
not signalled outside and well tolerated by the cell. Any possible deleterious effects that arise
might occur only when mitochondrial OXPHOS or other central mitochondrial functions are
impaired during more chronic stress.
48
Mitochondria lacking sufficient mtDNA copy number are nonviable, because they are missing
key RNA species and proteins for functional OXPHOS machinery. However, HEK239 cells
demonstrate robust tolerance to a severe degree of mtDNA depletion, which suggests that the
clear majority of mtDNA molecules are redundant. Furthermore, as soon as conditions turn
favourable, the remaining mtDNA is replicated and mtDNA copy number returns to baseline
level.
Just as a cell needs a certain number of functional mitochondria to survive, it could be
postulated that a mitochondrion needs a certain amount of functional mtDNA to provide the
barest minimum of gene expression for maintaining the OXPHOS machinery. Based on the
data from the ddC exposure and recovery experiment, more than two thirds of mtDNA copies
are superfluous.
Why is mtDNA so abundant? One possibility is that, because mtDNA is far more vulnerable
to inactive mutations than its nuclear counterpart, mtDNA may have evolved a strategy of
quantity over quality, thus ensuring that functional mtDNA is always available for transcription
and replication.
THANKS
I wish to thank my thesis instructors, Dr. Jaakko Pohjoismäki and Dr. Steffi Goffart for the
opportunity and guidance. Additionally, I wish to thank Rubén Torregrosa-Muñumer for always
offering hands-on assistance in the laboratory whenever it was needed. I appreciate the effort
of several friends who took the time to revise my work. Finally, I wish to thank my parents,
Leevi and Maija Haikonen, for patiently supporting my pursuit for a higher education.
REFERENCES
Abbas, T., Dutta, A. 2009. p21 in cancer: intricate networks and multiple activities. Nature
Reviews Cancer 9: 400-414.
Anderson, S., Bankier, AT., Barrell, BG., Debruijn, MHL., Coulson, AR., Drouin, J., Eperon,
IC., Nierlich, DP., Roe, BA., Sanger, F. 1981. Sequence and organization of the human
mitochondrial genome. Nature 290:5806: 457-465.
Atherton, P., Stutchbury, B., Jethwa, D., Ballestrem, C. 2016. Mechanosensitive components
of integrin adhesions: Role of vinculin. Experimental Cell Research 343:1: 21-27.
Bayona-Bafaluy, MP., Blits, B., Battersby, BJ., Shoubridge, EA., Moraes, CT. 2005. Rapid
directional shift of mitochondrial DNA heteroplasmy in animal tissues by a
49
mitochondrially targeted restriction endonuclease. Proceedings of the National Academy of
Sciences 102:40: 14392-14397.
Bingol, B., Sheng, M. 2016. Mechanisms of mitophagy: Pink1, Parkin, USP30 and beyond.
Free Radical Biology and Medicine 100: 210-222.
Birgerson, LE. 2006. Dear Health Care Professional letter-M.D./alert
http://www.fda.gov/downloads/Drugs/DrugSafety/DrugShortages/ucm086099.pdf
25.5.2017
Blanco, L., García-Gómez, S., Reyes, A., Martínez-Jiménez, MI., Chocrón, ES., Mourón, S.,
Terrados, G., Powell, C., Salido, E., Méndez, J., Holt, IJ., 2013. PrimPol, an Archaic
Primase/Polymerase Operating in Human Cells. Molecular cell 52: 541-553.
Bradford, MM. 1976. A rapid and sensitive method for the quantification of microgram
quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry
72: 248-254.
Canugovi, C., Maynard, S., Bayne, A-CV., Sykora, P., Tian, J., Souza-Pinto, NC., Croteau,
DL., Bohr, VA. 2010. The mitochondrial transcription factor A functions in mitochondrial
base excision repair. DNA Repair 9: 1080-1089.
Chan, DC., Mishra, P. 2014. Mitochondrial dynamics and inheritance during cell division,
development and disease. Nature Reviews Molecular Cell Biology 15: 634-646.
Chandel, NS., Schumacker, PT. 1999. Cells depleted of mitochondrial DNA (rho0) yield
insight into physiological mechanisms. FEBS letters 9:454: 173-176.
Chen, K., Rajewsky, N. 2007. The evolution of gene regulation by transcriptional factors and
microRNAs. Nature Reviews Genetics 8: 93-103.
Cooper, GM., Hausman, RE. 2016. The Cell: A Molecular Approach, 7th edition. Chapter 6,
pp 204-207. Sinauer Associates, Inc. Massachusetts, U.S.A.
Cortez, D. 2015. Preventing replication fork collapse to maintain genome integrity. DNA
Repair 32: 149-157.
Eisenberg-Bord, M., Schuldiner, M. 2017. Ground control to major TOM: mitochondria-
nucleus communication. The FBS Journal 284: 196-210.
Enriquez, JA., Acin-Pérez, R., Fernández-Silva, P., Peleato ML., Pérez-Martos, A. 2008.
Respiratory Active Mitochondrial Supercomplexes. Molecular Cell 32: 529-539.
Gartel, AL. 2008. Transcriptional inhibitors, p53 and apoptosis. Biochimica et Biophysica
Acta Reviews on Cancer 1786: 83-86.
Hällberg, BM., Larsson, N-G. 2014. Making Proteins in the Powerhouse. Cell Metabolism 20:
226-240.
Harper, JW., Adami, GR., Wei, N., Keyomarsi, K., Elledge, SJ. 1993. The p21 cdk-
interacting protein Cip1 is a potent inhibitor of G1 cyclin-dependent kinases. Cell 75: 805-
816.
Hayat, MA. 2013. Tumor dormancy, quiescence, and senescence volume I. 154-157 pp.
Springer Science + Business Media. Dordrecht.
50
Jazayeri, M., Andreyev, A., Will, Y., Ward, M., Anderson, CM., Clevenger, W. 2003.
Inducible expression of a dominant negative DNA polymerase-gamma depletes
mitochondrial DNA and produces a rho(0) phenotype. Journal of Biological Chemistry
278:11: 9823-9830.
Karnkowska, A., Vacek, V., Zubáčová, Z., Treitli, SC., Petrželková, R., Eme, L., Novák L.,
Žárský, V., Barlow, LD., Herman EK., Soukal P., Hroudová, M., Doležal P., Stairs CW.,
Roger AJ., Eliáš M., Dacks JB., Vlček C., Hampl V. 2016. A eukaryote without
Mitochondrial Organelle. Current Biology 26:10: 1274-1284.
Kaufman, BA., Kolesar, JE., Campbell, CT. 2012. Mitochondrial transcription factor A
regulates mitochondrial transcription initiation, DNA packaging, and genome copy
number. Biochimica et Biophysica Acta: 1819: 921-929.
Klingenberg, M. 2008. The ADP and ATP transport in mitochondria and its carrier.
Biochimica et Biophysica Acta 1778. 1978-2021.
Krämer, R. 1996. Structural and functional aspects of the phosphate carrier from
mitochondria. Kidney international 49:4: 947-952.
Kubiak, JZ. 2011. Cell cycle in development. 76, 421-422, 431, 461 pp. Springer-Verlag.
Berlin.
Kühl, I., Miranda, M., Posse, V., Milenkovic, D., Mourier, A., Siira SJ., Bonekamp, NA.,
Neumann, U., Filipovska, A., Polosa, PL., Gustafsson, CM., Larsson, N-G. 2016.
POLRMT regulates the switch between replication primer formation and gene expression
of mammalian mtDNA. Science Advances 2:8: 1-14.
Kühlbrandt, W. 2015. Structure and function of mitochondrial membrane protein complexes.
BMC Biology 13:89 1-11.
Lackner, LL. 2013. Determining the shape and cellular distribution of mitochondria: the
integration of multiple activities. Current Opinion in Cell Biology 25:4: 471-476.
Lezza, AMS., Picca, A. 2015. Regulation of mitochondrial biogenesis through TFAM-
mitochondrial DNA interactions: Useful insights from aging and calorie restriction studies.
Mitochondrion 25: 67-75.
Lodi, T., Dallabona, C., Nolli, C. Goffrini, P., Donnini, C., Baruffini, E. 2015. DNA
polymerase γ and disease: what have we learned from yeast. Frontiers in genetics: 6: 106:
1-16.
Lodish, H., Berk, A., Kaiser, CA., Krieger, M., Bretscher, A., Ploegh, H., Amon, A., Martin,
KC. 2016. Molecular Cell Biology, 8th Edition. 515 p. W.H. Freeman and Company. New
York., U.S.A.
Magnani, M., Rossi, L., Serafini, S., Schiavano, GF., Casabianca, A., Vallanti, G.,
Chiarantini, L. 1999. Metabolism, mitochondrial uptake and toxicity of 2´3´-
dideoxycytidine. Biochemical Journal: 344: 915-920.
Mai, N., Chrzanowska-Lightowlers, ZMA., Lightowlers, RN. 2013. The process of
mammalian mitochondrial protein synthesis. Cell and Tissue Research 367: 5-20.
Miyake, N., Yano, S., Sakai, C., Hatakeyama, H., Matsushima, Y., Shiina, M., Watanabe, Y.,
Bartley, J., Abdenur, JE., Wang, RY., Chang, R., Tsurusaki, Y., Doi, H., Nakashima, M.,
Saitsu, H., Ogata, K., Goto, Y., Matsumoto, N. 2013. Mitochondrial Complex III
51
Deficiency Caused by a Homozygous UQCRC2 Mutation Presenting with Neonatal-Onset
Recurrent Metabolic Decompensation. Human Mutation 34:3: 446-452.
Moraes, CT., Williams, SL., Bacman, SR. 2009. Intra- and inter-molecular recombination of
mitochondrial DNA after in vivo induction of multiple double-strand breaks. Nucleic
Acids Research, 37:13: 4218-4226.
Moraes, C.T., Garcia, S., Williams, SL., Bacman, SR. 2010. Organ-specific shifts in mtDNA
heteroplasmy following systemic delivery of a mitochondria-targeted restriction
endonuclease. Gene Therapy 17: 713-720.
Moraes, CT., Duan, D., Williams, SL., Bacman SR. 2012. Manipulation of mtDNA
heteroplasmy in all striated muscles of newborn mice by AAV9-mediated delivery of a
mitochondria-targeted restriction endonuclease. Gene Therapy 19: 1101-1106.
Nath, S. 2016. The thermodynamic efficiency of ATP synthesis in oxidative phosphorylation.
Biophysical Chemistry 219: 69-47.
Nelson, DL., Cox, MM. 2008. Lehninger Principles of Biochemistry 5th edition. 528, 542,
616, 712, 723-725 pp. W.H. Freeman and Company. New York.
Ott, M., Amunts, A., Brown, A. 2016. Organization and Regulation of Mitochondrial Protein
Synthesis. Annual review of Biochemistry 85: 77-101.
Pang, M-G., Park, Y-J., Ryu, D-Y., Rahman, MS., Kwon, W-S. 2015. Increased male fertility
using fertility-related biomarkers. Scientific Reports 5: 15654 1-11.
Reichert, AS., Rabl, R., Soubannier, V., Scholz, R., Vogel, F., Mendl, N., Vasiljev-
Neumeyer, A., Körner, C., Jagasia, R., Keil, T., Baumeister, W., Cyrklaff, M, Neupert, W.
2009. Formation of cristae and crista junctions in mitochondria depends on antagonism
between Fcj1 and Su e/g. Journal of Cell Biology 185:6: 1047-1063.
Rich, P.R. 2003. The molecular machinery of Keilin’s respiratory chain. Biochemical Society
Transactions 31:6: 1095-1105.
Rommel, C., Vanhaesebroeck, B., Vogt, PK. 2010. Phosphoinositide 3-kinase in Health and
Disease. 32-33 pp. Springer-Verlag. Berlin Heidelberg.
Schumacker, PT., Waypa, GB., Smith, KA. 2016. O2 sensing, mitochondria and ROS
signaling: The fog is lifting. Molecular Aspects of Medicine 47-48: 76-89.
Shadel, GS., Clayton, DA., Bonawitz, ND. 2006. Initiation and Beyond: Multiple Functions
of the Human Mitochondrial Transcription Machinery. Molecular Cell 24:6: 813-825.
Shadel, GS., Bestwick, ML. 2016. Accessorizing the human mitochondrial transcription
machinery. Trends in Biochemical Sciences 38:6 283-291.
Smits, VAJ., Gillespie, DA. 2015. DNA damage control: regulation and functions of
checkpoint kinase 1. FEBS journal 282: 3681-3692.
Soria, LR., Marrone, J., Calamita, G., Marinelli, RA. 2012. Ammonia Detoxification via
Ureagenesis in Rat Hepatocytes Involves Mitochondrial Aquaporin-8 Channels.
Hepatology 57: 2061-2071.
Speidel, D. 2015. The role of DNA damage responses in p53 biology. Archives of Toxicology
89: 501-517.
52
St. John, J. 2014. The control of mtDNA replication during differentiation and development.
Biochimica et Biophysica Acta 1345-1354.
Stumpf, JD., Copeland, WC. 2011. Mitochondrial DNA replication and disease: insights from
DNA polymerase γ mutations. Cellular and Molecular Life Sciences 68: 219-233.
Taanman, J-W. 1999. The mitochondrial genome: structure, transcription, translation and
replication. Biochimica et Biophysica Acta 1410: 103-123.
Van der Giezen, M. 2011. Mitochondria and the Rise of Eukaryotes. Bioscience 61: 594-601.
Vazquez, A., Bond, EE., Levine, AJ., Bond, GL. 2008. The genetics of the p53 pathway,
apoptosis and cancer therapy. Nature Reviews 7: 979-987.
Warshel, A., Kamerlin, SCL. 2009. On the Energetics of ATP hydrolysis in Solution. The
Journal of Physical Chemistry B 113:47: 15692-15698.
Watanabe, K., Moriya, J., Yokogawa, T., Wakita, K., Ueda, T., Nishikawa, K., Crain, PF.,
Hashizume, T., Pomerantz, SC., McCloskey, JA., Kawai, G., Hayashi, N., Yokoyama, S.
1994. A Novel Modified Nucleoside Found at the First Position of the Anticodon of
Methionine tRNA from Bovine Liver Mitochondria. Biochemistry 33: 2234-2239.
Watanabe, K. 2010. Unique features of animal mitochondrial translation systems-the non-
universal genetic code, unusual features of the translational apparatus and their relevance
to human mitochondrial diseases. Proceedings of the Japan Academy, Ser. B, Physical and
Biological Sciences 86: 11-39.
White, E., Rabinowitz, JD., Zong, W-X. 2016. Mitochondria and Cancer. Molecular Cell 61:
667-676.
Woods, DB., Vousden, KH. 2001. Regulation of p53 function. Experimental Cell Research
264: 56-66.
Yousefi, B., Ahmadi, Y., Karimian, A. 2016. Multiple functions of p21 in cell cycle,
apoptosis and transcriptional regulation after DNA damage. DNA repair 42: 63-71.
Zhu, WG., Shen, CC., Cao, LL. 2016. Histone modifications in DNA damage response.
Science China Life Sciences 59:3: 257-270.