My research was focused on understanding the importance of mammalian RAD51 paralogs in genome maintenance and suppression of tumorigenesis. The investigation carried out during this study has been addressed toward gaining more insights into the involvement of RAD51 paralogs in DNA damage signalling, repair of various types of lesions including double stranded breaks (DSBs), daughter strand gaps (DSGs), interstrand crosslinks (ICLs), and in the protection of stalled replication forks. My study highlights the molecular functions of RAD51 paralogs in Fanconi anemia (FA) pathway of ICL repair, in the ATM and ATR mediated DNA damage responses, in homologous recombination (HR), and in the recovery from replication associated lesions. My research also focused on the development of a novel photoinducible ICL agent for targeted cancer therapy. The thesis has been divided into following sections as follows: Chapter I: General introduction that describes about DNA damage responses and the known functions of RAD51 paralogs across species in DNA repair and checkpoint The genome of every living organism is susceptible to various types of DNA damage and mammalian cells are evolved with various DNA damage surveillance mechanisms in response to DNA damages. In response to DNA damage, activated checkpoints arrest the cell cycle progression transiently and allow the repair of damaged DNA. Upon completion of DNA repair, checkpoints are deactivated to resume the normal cell cycle progression. Defective DNA damage responses may lead to chromosome instability and tumorigenesis. Indeed, genome instability is associated with several genetic disorders, premature ageing and various types of cancer in humans. The major cause of chromosome instability is the formation of DSBs and DSGs. Both DSBs and DSGs are the most dangerous type of DNA lesions that arise endogenously as well as through exogenous sources such as radiations and chemicals. Spontaneous DNA damage is due to generation of reactive oxygen species (ROS) through normal cellular metabolism. Replication across ROS induced modified bases and single strand breaks (SSBs) leads to DSGs and DSBs, respectively. Such DNA lesions need to be accurately repaired to maintain the integrity of the genome. To understand the various cellular responses that are triggered after different types of DNA damage and the possible roles of RAD51 paralogs in these processes, chapter I of the thesis has been distributed in to multiple sections as follows: Briefly, the initial portion of the chapter provides a glimpse of various types of DNA damage responses and repair pathways to deal with the lesions arising from both endogenous as well as exogenous sources. Owing to the vast range of cellular responses and pathways, the following section provides the detailed description and mechanisms of various pathways involved in taking care of wide range of DNA lesions from SSBs to DSBs. Subsequent section of chapter I provides a comprehensive description of maintenance of genome stability at the replication fork and telomeres. Germline mutations in the genes that regulate genome integrity cause various genetic disorders and cancer. Mutations in ATM, ATR, MRE11, NBS1, BLM and FANC (1-16), BRCA1 and BRCA2 that are known to regulate DNA damage signaling, DNA repair and genome integrity lead to chromosome instability disorders such as ataxia-telangiectasia, ATR-Seckel syndrome, AT-like disorder, Nijmegen breakage syndrome, Bloom syndrome, FA, and breast and ovarian cancers respectively. Interestingly, RAD51 paralog mutations are reported in patients with FA-like disorder and various types of cancers including breast and ovarian cancers. Mono-allelic germline mutations in all RAD51 paralogs are reported to cause cancer in addition to the reported cases of FA-like disorder with bi-allelic germline mutations in RAD51C and XRCC2. In accordance, the last section of the chapter has been dedicated to describe the genetics of breast and ovarian cancers and the known functions of tumor suppressors such as BRCA1, BRCA2 and RAD51 paralogs in the protection of genome. Despite the identification of five RAD51 paralogs nearly two decades ago, the molecular mechanism(s) by which RAD51 paralogs regulate HR and genome maintenance remain obscure. To gain insights into the molecular mechanisms of RAD51 paralogs in DNA damage responses and their link with genetic diseases and cancer, the following objectives were laid for my PhD thesis: 1) To understand the functional role of RAD51 paralog RAD51C in FA pathway of ICL repair and DNA damage signalling. 2) To dissect the ATM/ATR mediated targeting of RAD51 paralog XRCC3 in the repair of DSBs and intra S-phase checkpoint. 3) To uncover the replication restart pathway after transient replication pause and the involvement of distinct complexes of RAD51 paralogs in the protection of replication forks. 4) To design photoinducible ICL agent that can be activated by visible light for targeted cancer therapy. Chapter II: Distinct roles of FANCO/RAD51C protein in DNA damage signaling and repair: Implications for Fanconi anemia and breast cancer susceptibility RAD51C, a RAD51 paralog has been implicated in HR. However, the underlying mechanism by which RAD51C regulates HR mediated DNA repair is elusive. In 2010, a study identified biallelic mutation in RAD51C leading to FA-like disorder, whereas a second study reported monoallelic mutations in RAD51C associated with increased risk of breast and ovarian cancers. However, the role of RAD51C in the FA pathway of DNA cross-link repair and as a tumor suppressor remained obscure. To understand the role of RAD51C in FA pathway of ICL repair and DNA damage response, we employed genetic, biochemical and cell biological approaches to dissect out the functions of RAD51C in genome maintenance. In our study, we observed that RAD51C deficiency leads to ICL sensitivity, chromatid-type errors, and G2/M accumulation, which are hallmarks of the FA phenotype. We found that RAD51C is dispensable for ICL unhooking and FANCD2 monoubiquitination but is essential for HR, confirming the downstream role of RAD51C in ICL repair. Furthermore, we demonstrated that RAD51C plays a vital role in the HR-mediated repair of DSBs associated with replication. Finally, we showed that RAD51C participates in ICL and DSB induced DNA damage signaling and controls intra-S-phase checkpoint through CHK2 activation. Our analyses with pathological mutants of RAD51C displayed that RAD51C regulates HR and DNA damage signaling distinctly. Together, these results unravel the critical role of RAD51C in the FA pathway of ICL repair and as a tumor suppressor. Chapter III: ATM-and ATR-mediated phosphorylation of XRCC3 regulates DNA double-strand break-induced checkpoint activation and repair The RAD51 paralogs XRCC3 and RAD51C have been implicated in HR and DNA damage responses, but the molecular mechanism of their participation in these pathways remained obscured. In our study, we showed that an SQ motif serine 225 in XRCC3 is phosphorylated by ATR kinase in an ATM signaling pathway. We found that RAD51C in CX3 complex but not in BCDX2 complex is essential for XRCC3 phosphorylation, and this modification follows end resection and is specific to S and G2 phases. XRCC3 phosphorylation was found to be required for chromatin loading and stabilization of RAD51 and HR-mediated repair of DSBs. Notably, in response to DSBs, XRCC3 participates in the intra-S-phase checkpoint following its phosphorylation and in the G2/M checkpoint independently of its phosphorylation. Strikingly, we found that XRCC3 distinctly regulates recovery of stalled and collapsed replication forks such that phosphorylation was required for the HR-mediated recovery of collapsed replication forks but is dispensable for the recovery of stalled replication forks. Together, our findings suggest that XRCC3 is a new player in the ATM/ATR-induced DNA damage responses to control checkpoint and HR-mediated repair. Chapter IV: RAD51 paralogs protect stalled forks and mediate replication restart in an FA-BRCA independent manner Mammalian RAD51 paralogs RAD51 B, C, D, XRCC2 and XRCC3 are critical for genome maintenance. To understand the crucial roles of RAD51 paralogs during spontaneously arising DNA damage, we have studied the RAD51 paralogs assembly during replication and examined the replication fork stability and its restart. We found that RAD51 paralogs are enriched onto the S-phase chromatin spontaneously. Interestingly, the number of 53BP1 nuclear bodies in G1-phase and micro-nucleation which serve as markers for under replicated lesions increases after genetic ablation of RAD51C, XRCC2 and XRCC3. Furthermore, we showed that RAD51 paralogs are specifically enriched at two major fragile sites FRA3B and FRA16D after replication fork stalling. We found that all five RAD51 paralogs bind to nascent DNA strands after replication fork stalling and protect the fork. Nascent replication tracts created before fork stalling with hydroxyurea degrade in the absence of RAD51 paralogs but remain stable in wild-type cells. This function was dependent on ATP binding at the walker A motif of RAD51 paralogs. Our results also suggested that RAD51 paralogs assemble into BCDX2 complex to prevent generation of DSBs at stalled replication forks, thereby safeguarding the pre-assembled replisome from the action of nucleases. Strikingly, we showed that RAD51C and XRCC3 in complex with FANCM promote the restart of stalled replication forks in an ATP hydrolysis dependent manner. Moreover, RAD51C R258H mutation that was identified in FA-like disorder abrogates the interaction of RAD51C with FANCM and XRCC3, and prevents fork restart. Thus, assembly of RAD51 paralogs in different complexes prevents nucleolytic degradation of stalled replication forks and promotes restart to maintain genomic integrity. Chapter V: Trans-dichlorooxovandium(IV) complex as a potent photoinducible DNA interstrand crosslinker for targeted cancer therapy Although DNA ICL agents such as MMC, cisplatin and psoralen are known to serve as anticancer drugs, these agents affect normal cells as well. Moreover, tumor resistance to these agents has been reported. We have designed and synthesized a novel photoinducible DNA crosslinking agent (ICL-2) which is a derivative of oxovanadiumterpyridine complex with two chlorides in trans position. We found that ICL-2 can be activated by UV-A and visible light to enable DNA ICLs. ICL-2 efficiently activated FA pathway of ICL repair. Strikingly, photoinduction of ICL-2 induces prolonged activation of cell cycle checkpoint and high degree of cell death in FA pathway defective cells. Moreover, we showed that ICL-2 specifically targets cells that express pathological RAD51C mutants. Our findings suggest that ICL-2 can be potentially used for targeted cancer therapy in patients with gene mutations in FA and HR pathway.

Cette thèse est consacrée à la modélisation qualitative des réseaux biologiques pour l'innovation thérapeutique. Elle étudie comment utiliser les réseaux Booléens, et comment les améliorer, afin d'identifier des cibles thérapeutiques au moyen d'approches in silico. Elle se compose de deux travaux : i) un algorithme exploitant les attracteurs des réseaux Booléens pour l'identification in silico de cibles dans des modèles Booléens de réseaux biologiques pathologiquement perturbés, et ii) une amélioration des réseaux Booléens dans leur capacité à modéliser la dynamique des réseaux biologiques grâce à l'utilisation des opérateurs de la logique floue et grâce au réglage des arrêtes. L'identification de cibles constitue l'une des étapes de la découverte de nouveaux médicaments et a pour but d'identifier des biomolécules dont la fonction devrait être thérapeutiquement modifiée afin de lutter contre la pathologie considérée. Le premier travail de cette thèse propose un algorithme pour l'identification in silico de cibles par l'exploitation des attracteurs des réseaux Booléens. Il suppose que les attracteurs des systèmes dynamiques, tel que les réseaux Booléens, correspondent aux phénotypes produits par le système biologique modélisé. Sous cette hypothèse, et étant donné un réseau Booléen modélisant une physiopathologie, l'algorithme identifie des combinaisons de cibles capables de supprimer les attracteurs associés aux phénotypes pathologiques. L'algorithme est testé sur un modèle Booléen du cycle cellulaire arborant une inactivation constitutive de la protéine du rétinoblastome, tel que constaté dans de nombreux cancers, tandis que ses applications sont illustrées sur un modèle Booléen de l'anémie de Fanconi. Les résultats montrent que l'algorithme est à même de retourner des combinaisons de cibles capables de supprimer les attracteurs associés aux phénotypes pathologiques, et donc qu'il réussit l'identification in silico de cibles proposée. En revanche, comme tout résultat in silico, il y a un pont à franchir entre théorie et pratique, requérant ainsi une utilisation conjointe d'approches expérimentales. Toutefois, il est escompté que l'algorithme présente un intérêt pour l'identification de cibles, notamment par l'exploitation du faible coût des approches computationnelles, ainsi que de leur pouvoir prédictif, afin d'optimiser l'efficience d'expérimentations coûteuses. La modélisation quantitative en biologie systémique peut s'avérer difficile en raison de la rareté des détails quantitatifs concernant les phénomènes biologiques, particulièrement à l'échelle subcellulaire, l'échelle où les médicaments interagissent avec leurs cibles. Une alternative permettant de contourner cette difficulté est la modélisation qualitative étant donné que celle-ci ne requiert que peu ou pas d'informations quantitatives. Parmi les méthodes de modélisation qualitative, les réseaux Booléens en sont l'une des plus populaires. Cependant, les modèles Booléens autorisent leurs variables à n'être évaluées qu'à vrai ou faux, ce qui peut apparaître trop simpliste lorsque des processus biologiques sont modélisés. En conséquence, le second travail de cette thèse propose une méthode de modélisation dérivée des réseaux Booléens où les opérateurs de la logique floue sont utilisés et où les arrêtes peuvent être réglées. Les opérateurs de la logique floue permettent aux variables d'être continues, et ainsi d'être plus finement évaluées qu'avec des méthodes de modélisation discrètes tel que les réseaux Booléens, tout en demeurant qualitatives. De plus, dans le but de considérer le fait que certaines interactions peuvent être plus lentes et/ou plus faibles que d'autres, l'état des arrêtes est calculé afin de moduler en vitesse et en force le signal qu'elles véhiculent. La méthode proposée est illustrée par son implémentation sur un petit échantillon de la signalisation du récepteur au facteur de croissance épidermique... [etc] / This thesis is devoted to the qualitative modeling of biological networks for therapeutic innovation. It investigates how to use the Boolean network formalism, and how to enhance it, for identifying therapeutic targets through in silico approaches. It is composed of two works: i) an algorithm using Boolean network attractors for in silico target identification in Boolean models of pathologically disturbed biological networks, and ii) an enhancement of the Boolean network formalism in modeling the dynamics of biological networks through the incorporation of fuzzy operators and edge tuning. Target identification, one of the steps of drug discovery, aims at identifying biomolecules whose function should be therapeutically altered in order to cure the considered pathology. The first work of this thesis proposes an algorithm for in silico target identification using Boolean network attractors. It assumes that attractors of dynamical systems, such as Boolean networks, correspond to phenotypes produced by the modeled biological system. Under this assumption, and given a Boolean network modeling a pathophysiology, the algorithm identifies target combinations able to remove attractors associated with pathological phenotypes. It is tested on a Boolean model of the mammalian cell cycle bearing a constitutive inactivation of the retinoblastoma protein, as seen in cancers, and its applications are illustrated on a Boolean model of Fanconi anemia. The results show that the algorithm returns target combinations able to remove attractors associated with pathological phenotypes and then succeeds in performing the proposed in silico target identification. However, as with any in silico evidence, there is a bridge to cross between theory and practice, thus requiring it to be used in combination with wet lab experiments. Nevertheless, it is expected that the algorithm is of interest for target identification, notably by exploiting the inexpensiveness and predictive power of computational approaches to optimize the efficiency of costly wet lab experiments. Quantitative modeling in systems biology can be difficult due to the scarcity of quantitative details about biological phenomenons, especially at the subcellular scale, the scale where drugs interact with there targets. An alternative to escape this difficulty is qualitative modeling since it requires few to no quantitative information. Among the qualitative modeling approaches, the Boolean network formalism is one of the most popular. However, Boolean models allow variables to be valued at only true or false, which can appear too simplistic when modeling biological processes. Consequently, the second work of this thesis proposes a modeling approach derived from Boolean networks where fuzzy operators are used and where edges are tuned. Fuzzy operators allow variables to be continuous and then to be more finely valued than with discrete modeling approaches, such as Boolean networks, while remaining qualitative. Moreover, to consider that some interactions are slower and/or weaker relative to other ones, edge states are computed in order to modulate in speed and strength the signal they convey. The proposed formalism is illustrated through its implementation on a tiny sample of the epidermal growth factor receptor signaling pathway. The obtained simulations show that continuous results are produced, thus allowing finer analysis, and that modulating the signal conveyed by the edges allows their tuning according to knowledge about the modeled interactions, thus incorporating more knowledge. The proposed modeling approach is expected to bring enhancements in the ability of qualitative models to simulate the dynamics of biological networks while not requiring quantitative information. The main prospect of this thesis is to use the proposed enhancement of Boolean networks to build a version of the algorithm based on continuous dynamical systems...[etc]

Mutations in the hereditary breast/ovarian cancer genes BRCA1/2 were shown to be synthetic lethal with poly(ADP-ribose) polymerase inhibitors (PARPi). This toxicity is assumed to derive from PARPi-induced DNA double strand breaks (DSBs) that necessitate BRCA function in homologous recombination (HR) and/or fork protection (FP). However, PARPi accelerates replication forks. While high-speed replication could cause DSBs, the finding that PARPi leads to single-stranded DNA (ssDNA) gaps/nicks suggests replication gaps could also or alone be the cause of synthetic lethality. Here, we demonstrate that PARPi toxicity derives from replication gaps. Isogenic cells deficient in BRCA1 or the BRCA1-associated FANCJ, with common DNA repair defects in HR and FP, exhibit opposite responses to PARPi. Deficiency in FANCJ, a helicase also mutated in hereditary breast/ovarian cancer and Fanconi anemia, causes aberrant accumulation of fork remodeling factor HLTF and limits unrestrained DNA synthesis with ssDNA gaps. Thus, we predict replication gaps as a distinguishing factor and further uncouple HR, FP and fork speed from PARPi response. BRCA-deficient cells display excessive gaps that are diminished upon resistance, restored upon re-sensitization and when targeted augment synthetic lethality with PARPi. Furthermore, we define the source of gaps to defects in Okazaki fragment processing (OFP). Unchallenged BRCA1-deficient cells have elevated poly(ADP-ribose) and chromatin-associated PARP1 but aberrantly low XRCC1 indicating a defective backup OFP pathway. Remarkably, 53BP1 loss resuscitates OFP by restoring XRCC1-LIG3 that suppresses the sensitivity of BRCA1-deficient cells to drugs targeting OFP or generating gaps. Collectively, our study highlights unprotected lagging strand gaps as a determinant of synthetic lethality, providing a new paradigm and biomarker for PARPi toxicity.

Abstract Mutations in the currently known breast cancer susceptibility genes account for only 25–30% of all familial cases. Novel susceptibility genes can be identified by several methods, including candidate gene re-sequencing and genome-wide microarrays. We have applied microarrays for the detection of a new genomic variation class, copy number variants (CNVs), which potentially could disrupt genes in multiple pathways related to breast cancer susceptibility. The aim of the current study was to evaluate the role of the RNF8, UBC13, MMS2 and RAD51C DNA damage response genes in breast cancer susceptibility as well as to study if rare CNVs are associated with the predisposition to this disease. The analysis of 123 familial breast cancer cases revealed altogether nine different changes in the RNF8 and UBC13 candidate genes. However, none of the observed alterations were considered pathogenic. No alterations were observed in MMS2. The obtained results suggest that breast cancer predisposing alterations in RNF8, UBC13 and MMS2 are rare, or even absent. The RAD51C mutation screening of 147 familial breast cancer cases and 232 unselected ovarian cancer cases revealed two deleterious mutations: c.-13_14del27 was observed in a breast cancer case with familial history of ovarian cancer and c.774delT in an ovarian cancer case. Both mutations were absent in the control cohort. The results of the study support the hypothesis that rare variants of RAD51C predispose predominantly to ovarian cancer. A genome-wide scan of CNVs was performed for 103 familial breast cancer cases and 128 controls. The biological networks of the genes disrupted by CNVs were different between the two groups. In familial breast cancer cases, the observed mutations disrupted genes, which were significantly overrepresented in cellular functions related to maintenance of genomic integrity (P=0.0211). Biological network analysis showed that the disrupted genes were closely related to estrogen signaling and TP53-centered tumor suppressor network, and this result was confirmed by the analysis of an independent young breast cancer cohort of 75 cases. These results suggest that rare CNVs represent an alternative source of genetic variation contributing to hereditary risk for breast cancer. / Tiivistelmä Tunnetut rintasyöpäalttiusgeenien mutaatiot selittävät vain 25–30 prosenttia kaikista perinnöllisistä rintasyöpätapauksista. Uusia alttiusgeenejä voidaan tunnistaa useilla eri menetelmillä, kuten kandidaattigeenien mutaatiokartoituksella ja genomin-laajuisilla mikrosirutekniikoilla. Tässä tutkimuksessa sovelsimme mikrosirutekniikkaa uuden geneettisen variaatioluokan, kopiolukuvariaation (CNV), tutkimiseen. CNV:t voivat vaurioittaa lukuisia rintasyöpäalttiuteen liittyviä biokemiallisia reittejä. Tämän tutkimuksen tarkoitus oli arvioida RNF8-, UBC13-, MMS2- ja RAD51C -DNA- vauriovastegeenien sekä harvinaisten CNV:iden yhteyttä rintasyöpä-alttiuteen. 123 familiaalisen rintasyöpätapauksen analyysissä löytyi yhteensä yhdeksän muutosta RNF8- ja UBC13-geeneistä, joista yksikään ei osoittautunut patogeeniseksi. MMS2-geenissä ei havaittu muutoksia. Tulosten perusteella rintasyövälle altistavat muutokset RNF8-, UBC13- ja MMS2- geeneissä ovat joko erittäin harvinaisia tai niitä ei esiinny lainkaan. RAD51C-geenin mutaatiokartoitus 147 familiaalisesta rintasyöpätapauksesta sekä 232 valikoimattomasta munasarjasyöpätapauksesta paljasti kaksi haitallista mutaatiota. c.-13_14del27 havaittiin rintasyöpäpotilaalla, jonka suvussa esiintyi munasarjasyöpää, ja c.774delT todettiin munasarjasyöpäpotilaalta. Kumpaakaan mutaatiota ei havaittu verrokkiaineistossa. Tulokset vahvistavat hypoteesia RAD51C-geenin harvinaisten varianttien yhteydestä pääasiassa munasarjasyöpäriskiin. CNV:iden genomin-laajuinen skannaaminen suoritettiin 103 familiaaliselle rintasyöpätapaukselle ja 128 verrokille. CNV:iden häiritsemien geenien muodostamat biologiset verkostot olivat erilaiset näiden kahden ryhmän välillä. Familiaalisilla rintasyöpätapauksilla havaitut CNV:t vaikuttivat geeneihin, jotka olivat voimakkaasti korostuneita genomin eheyttä ylläpitävissä tehtävissä (P=0.0211). Biologisten verkostojen analyysi paljasti, että CNV:iden vahingoittamat geenit liittyivät läheisesti estrogeenisignalointiin sekä TP53-tuumorisupressoriverkostoon, ja tämä tulos vahvistettiin analysoimalla riippumatonta nuorista rintasyöpäpotilaista koostuvaa kohorttia (N=75). Tutkimuksen tulosten mukaan harvinaiset CNV:t ovat vaihtoehtoinen geneettisen variaation lähde perinnölliseen rintasyöpäalttiuteen.

Indiana University-Purdue University Indianapolis (IUPUI) / Fanconi anemia (FA) is a heterogenous genetic syndrome characterized by progressive bone marrow failure, aneuploidy, and cancer predisposition. It is incompletely understood why FA-deficient cells develop gross aneuploidy leading to cancer. Since the mitotic spindle assembly checkpoint (SAC) prevents aneuploidy by ensuring proper chromosome segregation during mitosis, we hypothesized that the FA signaling network regulates the mitotic SAC. A genome-wide RNAi screen and studies in primary cells were performed to systematically evaluate SAC activity in FA-deficient cells. In these experiments, taxol was used to activate the mitotic SAC. Following taxol challenge, negative control siRNA-transfected cells appropriately arrested at the SAC. However, knockdown of fourteen FA gene products resulted in a weakened SAC, evidenced by increased formation of multinucleated, aneuploid cells. The screen was independently validated utilizing primary fibroblasts from patients with characterized mutations in twelve different FA genes. When treated with taxol, fibroblasts from healthy controls arrested at the mitotic SAC, while all FA patient fibroblasts tested exhibited weakened SAC activity, evidenced by increased multinucleated cells. Rescue of the SAC was achieved in FANCA patient fibroblasts by genetic correction. Importantly, SAC activity of FANCA was confirmed in primary CD34+ hematopoietic cells. Furthermore, analysis of untreated primary fibroblasts from FA patients revealed micronuclei and multinuclei, reflecting abnormal chromosome segregation. Next, microscopy-based studies revealed that many FA proteins localize to the mitotic spindle and centrosomes, and that disruption of the FA pathway results in supernumerary centrosomes, establishing a role for the FA signaling network in centrosome maintenance. A mass spectrometry-based screen quantifying the proteome and phospho-proteome was performed to identify candidates which may functionally interact with FANCA in the regulation of mitosis. Finally, video microscopy-based experiments were performed to further characterize the mitotic defects in FANCA-deficient cells, confirming weakened SAC activity in FANCA-deficient cells and revealing accelerated mitosis and abnormal spindle orientation in the absence of FANCA. These findings conclusively demonstrate that the FA signaling network regulates the mitotic SAC, providing a mechanistic explanation for the development of aneuploidy and cancer in FA patients. Thus, our study establishes a novel role for the FA signaling network as a guardian of genomic integrity.