Literature DB >> 33503431

DCAF14 promotes stalled fork stability to maintain genome integrity.

Arik Townsend1, Gabriella Lora1, Justin Engel1, Neysha Tirado-Class1, Huzefa Dungrawala2.   

Abstract

Replication stress response ensures impediments to DNA replication do not compromise replication fork stability and genome integrity. In a process termed replication fork protection, newly synthesized DNA at stalled replication forks is stabilized and protected from nuclease-mediated degradation. We report the identification of DDB1- and CUL4-associated factor 14 (DCAF14), a substrate receptor for Cullin4-RING E3 ligase (CRL4) complex, integral in stabilizing stalled replication forks. DCAF14 localizes rapidly to stalled forks and promotes genome integrity by preventing fork collapse into double-strand breaks (DSBs). Importantly, CRL4DCAF14 mediates stalled fork protection in a RAD51-dependent manner to protect nascent DNA from MRE11 and DNA2 nucleases. Thus, our study shows replication stress response functions of DCAF14 in genome maintenance.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BRCA2; CRL4; DCAF14; DNA2; MRE11; RAD51; fork protection; fork reversal; replication stress

Mesh:

Substances:

Year:  2021        PMID: 33503431      PMCID: PMC7941590          DOI: 10.1016/j.celrep.2020.108669

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


INTRODUCTION

Cells must duplicate their genome accurately and completely during each cell division cycle. Replication is inherently challenged by various exogenous and endogenous stresses that act as obstacles stalling active replication forks. Failure to deal with replication stress compromises fork stability and genome integrity, resulting in increased predisposition to diseases such as cancer. Stalled forks recruit multiple stress response proteins to promote stability, repair, and restart of damaged forks, thereby preventing spontaneous collapse into double-strand breaks (DSBs) (Cimprich and Cortez, 2008; Saldivar et al., 2017). Homologous recombination (HR) repair proteins BRCA1/2 and Fanconi anemia (FA) are increasingly being recognized for critical functions in remodeling and protecting stalled replication forks to preserve genome integrity (Kolinjivadi et al., 2017a; Datta and Brosh, 2019). Importantly, determinants of replication fork protection modulate response to chemotherapy, highlighting the clinical relevance of this process in cancer therapy (Sidorova, 2017; Liao et al., 2018). A universal response to genotoxic stress is replication fork reversal (or fork regression), a genome maintenance mechanism that converts three-way junctions to four-way junctions, resulting in reannealing of nascent DNA strands behind the fork (Higgins et al., 1976; Neelsen and Lopes, 2015). Various motor proteins such as SMARCAL1 (Bétous et al., 2012), ZRANB3 (Ciccia et al., 2012), and HLTF (Kile et al., 2015) catalyze fork reversal. In a manner distinct from DSB repair, HR pathway proteins stabilize and protect the regressed arm of reversed replication forks from MRE11-dependent degradation (Schlacher et al., 2011,2012; Mijic et al., 2017; Kolinjivadi et al., 2017b). Other genetic perturbations cause DNA2-dependent nascent DNA digestion (Wang et al., 2015; Xu et al., 2017; Higgs et al., 2015). Central to fork protection is the ability of BRCA2 to generate stable RAD51 nucleoprotein filaments on the regressed arm of reversed replication forks. RAD51 is also essential to promote replication fork reversal (Zellweger et al., 2015). As such, suppressing fork reversal or nuclease activities restores replication fork protection (Taglialatela et al., 2017; Mijic et al., 2017; Ray Chaudhuri et al., 2016). Stalled fork protection is also dictated by proteins altering the stability of chromatin-bound RAD51. While BOD1L loss (Higgs et al., 2015) triggers nascent strand degradation, suppressing RADX can reverse nascent strand degradation and chemosensitivity by increasing RAD51 association with stalled forks (Dungrawala et al., 2017). Cullin4-RING E3 ubiquitin ligases (CRL4s) are multi-subunit protein complexes that ubiquitinate target proteins to regulate a diverse range of cellular processes (Jackson and Xiong, 2009). CRL4s utilize DDB1- and CUL4-associated factors (DCAFs) as substrate receptors to recruit substrates for ubiquitination. DCAF14 (or PHIP, RepID) is one of 18 known CRL4 substrate receptors (Jin et al., 2006). Human DCAF14 functions in mitogenesis (Farhang-Fallah et al., 2002; Podcheko et al., 2007), replication origin initiation (Zhang et al., 2016), and regulation of the spindle assembly checkpoint (Jang et al., 2020). DCAF14 is also a prognostic biomarker for metastatic melanoma (De Semir et al., 2012), and deleterious de novo mutations in DCAF14 are associated with developmental abnormalities (Webster et al., 2016; Craddock et al., 2019). However, it is not known whether DCAF14 functions in conditions of perturbed replication. Herein, we report a previously uncharacterized function of DCAF14 in replication stress response. When replication is challenged, DCAF14 is recruited to stalled forks and protects nascent DNA from nuclease-mediated digestion in a CRL4-dependent manner, thus preventing fork collapse into toxic DSBs. In cells devoid of DCAF14, fork degradation can be reversed by restoring RAD51’s ability to form stable nucleoprotein filaments. Thus, CRL4DCAF14 plays a critical role in promoting stalled fork stability and genome integrity.

RESULTS

DCAF14 is enriched at stalled replication forks

Replication fork proteomic screens using iPOND (isolation of proteins on nascent DNA) coupled with SILAC (stable isotope labeling of amino acids in cell culture) mass spectrometry were performed previously to study protein dynamics in response to replication stress (Dungrawala et al., 2015). In these studies, fork proteomes of untreated cells were compared with cells exposed to hydroxyurea (HU) for 5 min up to 240 min (Figure 1A). Histone accumulation remains unchanged throughout the HU time course (Dungrawala et al., 2015). While the CMG helicase components MCM2-7 decrease in abundance due to slowed termination events, replication stress response proteins such as single-stranded DNA (ssDNA) binding protein RPA increase in abundance (Figure 1B). Like RPA, DCAF14 is rapidly recruited and persists up to 4 h of HU treatment (Figure 1B). Using proximity ligation assay, we observe significantly elevated levels of DCAF14/RPA foci in cells exposed to replication stress (Figure 1C). These results indicate that DCAF14 is recruited to stalled replication forks.
Figure 1.

DCAF14 is recruited to stalled replication forks

(A) Schematic for iPOND-SILAC-mass spectrometry (MS) analyses to identify replication fork proteins in HU-treated cells.

(B) The average abundance values for selected proteins and protein complexes are shown. Complete datasets with statistics are presented elsewhere (Dungrawala et al., 2015). n = 14.

(C) In situ proximity ligation assay (PLA) was performed using antibodies targeting RPA32 and DCAF14. Cells were left either untreated or treated with 4 mM HU and 100 nM CPT for 4 h. Nuclei with ≥5 PLA foci were scored using 500–1,000 nuclei per sample. Mean ± SD values are representative of two biological repeats. p values were derived using one-way ANOVA. Inset: representative nuclei for HU-treated cells. Scale bar, 5 μm.

DCAF14 functions as a replication stress response protein

We performed loss-of-function studies to investigate whether DCAF14 functions in replication stress response. Transient depletion of DCAF14 using small interfering RNA (siRNA) increases S-phase-associated γH2AX levels in untreated U2OS cells (Figures 2A and 2B). By comparison, exposure to replication stress markedly escalates γH2AX, indicating that loss of DCAF14 exacerbates replication stress. This phenotype is not due to off-target effects since multiple siRNAs targeting DCAF14 (Figures S1A and S1C) and two independent DCAF14 knockout (KO) clones (Figures S1B and S1D) yield similar responses to HU. The replication-stress-associated γH2AX increase in DCAF14-deficient cells occurs concomitantly with increased ssDNA, as examined by staining for bromo-deoxyuridine (BrdU)-labeled DNA in non-denaturing conditions (Figure 2C) and detergent-resistant RPA (Figure 2D). DCAF14-depleted cells also exhibit sensitivity to multiple replication-stress-inducing reagents including HU, camptothecin (CPT), olaparib, and cisplatin (Figures 2E and S1E). Cell-cycle analyses revealed no observable changes in S-phase distribution using both siDCAF14 and DCAF14 KO cells (Figures S1F). Consistent with heightened genome instability and drug sensitivity, DCAF14-deficient cells display increased G1-phase-specific 53BP1 bodies (Figure 2F), indicating that unresolved replication stress persists through mitosis. Thus, DCAF14 absence results in failure to deal with replication stress.
Figure 2.

DCAF14 is a replication stress response protein

(A) Immunoblots of lysates harvested from U2OS cells transfected with either non-targeting siRNA (siNT)or siRNA targeting DCAF14 (siDCAF14). CHK1 serves as loading control. Arrow denotes DCAF14 protein.

(B–D) siNT- and siDCAF14-transfected U2OS cells were left either untreated or treated with 4 mM HU or 100 nM CPT for 4 h. For γH2AX and RPA staining, cells were pulsed with 5-ethynyl-2’-deoxyuridine (EdU) for 10 min prior to treatment. For native BrdU staining, cells were pulsed with 10 μM BrdU. The intensities of γH2AX and RPA were measured by quantitative imaging after preselecting EdU-positive nuclei. Mean ± SEM values are representative of three biological repeats. a.u., arbitrary units.

(E) siNT-and siDCAF14-transfected U2OS cells were plated for colony-forming assays as indicated. Inset: panel depicts representative dishes for untreated and treated conditions. All percent viability calculations were derived relative to untreated cells (mean ± SD, n = 3).

(F) siRNA-transfected U2OS cells were left untreated or treated with 0.2 μM aphidicolin (APH) or 100 nM CPT for 24 h. 53BP1 foci were measured in nuclei without detectable proliferating cell nuclear antigen (PCNA) staining. Mean ± SEM values are representative of three biological repeats.

(G) DR-GFP U2OS reporter cells were transfected with indicated siRNAs and analyzed by flow cytometry following transfection with I-Scel expression vector. Percent GFP values were normalized to control (siNT), and values were plotted using three replicates (mean ± SD). For (B)–(D) and (F), p values were derived using Mann-Whitney tests. For(E) and (G), p values were derived using multiple t test and unpaired t test, respectively. At least 150 nuclei were analyzed for(B)–(D), and 100 nuclei were analyzed for (F).

See also Figure S1.

Direct repeat (DR)-GFP reporter U2OS cells were utilized to assess whether DCAF14 is required for HR-mediated break repair. While silencing BRCA2 abrogates HR, DCAF14-deficient cells exhibit a modest defect in HR efficiency (Figure 2G). Infrared (IR)-induced sensitivity (Figures S1G) and break recovery (Figures S1H) also remain unaltered in DCAF14-deficient cells, indicating that DCAF14 does not regulate break repair.

DCAF14 stabilizes stalled replication forks

To gain mechanistic insight into DCAF14 function at stalled replication forks, we examined single replicating molecules of DNA using fiber-labeling analyses (Figure 3A). While elongation rates remain unchanged with DCAF14 deficiency in unchallenged cells (0.33 versus 0.32 μm/min), fiber lengths are significantly shortened with CPT treatment in DCAF14-deficient cells (Figure 3B), resulting in reduced IdU/CldU ratios (Figure 3C). Similar defects also occurred in RPE-hTERT cells and HEK293T cells (Figure S2A) and can be rescued by complementing DCAF14 KO cells with DCAF14 cDNA (Figure 3D). We also observed a marginal increase in origin firing when replication is challenged in DCAF14-deficient cells (Figure S2B). Thus, DCAF14 loss curtails DNA replication in perturbed conditions.
Figure 3.

Loss of DCAF14 impairs fork stability and fork recovery

(A) Schematic for DNA fiber assays. Representative fiber images for indicated samples are shown.

(B and C) siNT and siDCAF14-transfected U2OS cells were pulsed using labeling scheme in presence of CPT. CldU and IdU lengths were measured, and lengths were plotted as histograms in (B) and as ratios in (C).

(D) Parental U2OS cells or DCAF14 KO clones transfected with entry vector or DCAF14 cDNA were pulsed using labeling scheme in presence of CPT, and IdU/CldU ratios were plotted. Immunoblot depicts DCAF14 expression levels and KU70 represents loading control.

(E) Whole-cell lysates for the indicated samples were immunoprecipitated using FLAG resin, and immunoprecipitates were probed with the indicated antibodies. Representative blot is shown from three biological repeats.

(F) U2OS cells transfected with the indicated siRNAs were pulsed with CldU for 30 min followed by IdU with 100 nM CPT for 30 min, and IdU/CldU ratios were plotted.

(G) Representative immunoblot depicting knockdown efficiencies for the indicated siRNAs is shown from two biological repeats. KU70 serves as loading control. Arrow represents neddylated species.

(H) siNT- and siDCAF14-transfected U2OS cells were treated as shown. Fibers with both CldU and IdU labels were scored as a percentage of all fibers imaged.

(I) Comet tails were measured for indicated cells with or without HU using neutral comet assay. Box-and-whiskers plots depicting 10–90 percentile are plotted using at least 100 nuclei. At least 120 fibers were analyzed, and representative mean ± SEM values from two biological replicates are plotted in (C), (D), (F), and (H). p values were derived using Mann-Whitney tests in (C), (D), (F), and (I). Unpaired t test was used in (H).

See also Figure S2.

Next, we immunoprecipitated FLAG-tagged DCAF14 from HU-treated cells and validated the association with CRL4 components (Figure 3E). We then asked whether depleting DDB1 and CUL4 paralogs CUL4A and CUL4B phenocopy fork elongation defects observed in DCAF14-deficient cells. While silencing DDB1 and CUL4B limits fork elongation in CPT, CUL4A depletion using multiple siRNAs has no effect (Figures 3F and Figure S2C). These data are consistent with continued association of DDB1 and CUL4B at replication forks after HU-induced fork stalling in previous iPOND proteomic screens (Figure S2D). During the course of our immunoblotting analyses, we observed CUL4A depletion causes a marked increase in the slower migrating form of CUL4B, which represents neddylated species (Figure 3G). The E3 activity of CRLs is triggered by a 9-kDa covalent addition of NEDD8 (Pan et al., 2004), and our data suggest that CUL4B exists in predominantly neddylated state when CUL4A is absent. By contrast, CUL4A migration pattern after CUL4B depletion remains unchanged, suggesting that CUL4A is dispensable for CRL4 activity when fork stalling occurs. The elongation defect in DCAF14-deficient cells is also not additive with co-depletion of either DDB1 or CUL4B (Figure S2E), further indicating that CRL4DCAF14 promotes stalled fork stability. Defective fork progression is indicative of unscheduled fork collapse into DSBs (Cortez, 2015). DNA fiber analyses reveal that fork recovery is diminished in DCAF14-deficient cells compared with control cells (Figures 3H and S2F). Indeed, cells devoid of DCAF14 also display increased breaks after HU treatment as assessed by neutral comet assay (Figures 3I and S2G). Collectively, these results demonstrate that DCAF14 stabilizes stalled replication forks to prevent irreversible collapse into DSBs.

DCAF14 prevents nascent strand degradation

Given that DCAF14 stabilizes stalled forks, we sought to investigate whether newly synthesized DNA is prone to any processing events in the context of DCAF14 deficiency. For this purpose, we utilized a DNA fiber-labeling approach previously described (Schlacher et al., 2011) to monitor the stability of nascent DNA (Figure 4A). Upon HU exposure, we observe fork degradation in siDCAF14-transfected cells and three independent DCAF14 KO clones (Figures 4B and S4A). Silencing DDB1 and CUL4B also yields similar fork degradation phenotypes (Figure S3A), indicating that CRL4DCAF14 promotes stalled fork protection.
Figure 4.

DCAF14 mediates replication fork protection

(A) Schematic for fork degradation assays is depicted. Representative fiber images for indicated samples are shown.

(B–E and G–J) Fork degradation assays were performed in U2OS cells using the indicated siRNAs. In (C), MRE11 inhibitor Mirin was used as indicated. In (I), cells were transfected with constructs expressing either wild-type RAD51 or K133R mutant RAD51. IdU/CldU ratios for individual experiments are plotted. Mean ± SEM values are representative of at least two biological repeats. At least 120 fibers were analyzed. p values were derived using Mann-Whitney tests.

(F) Parental U2OS and DCAF14 KO cells (top) and siNT- and siDCAF14-transfected U2OS cells (bottom) were either left untreated or treated with 4 mM HU for 4 h. Chromatin extracts and whole-cell lysates were isolated as shown, separated using SDS-PAGE, and probed for the indicated antibodies by immunoblotting.

See also Figures S3 and S4.

To determine the nuclease responsible for fork degradation, we silenced MRE11 and DNA2 in DCAF14-deficient cells. Eliminating both MRE11 (Figures 4C and S4B) and DNA2 (Figures 4D and S4C) individually restores fork protection, indicating that DCAF14 loss facilitates both MRE11- and DNA2-dependent degradation. We also transiently depleted SMARCAL1 and ZRANB3 to ask whether fork remodeling is a prerequisite for nascent DNA digestion in DCAF14-depleted cells. Codepleting SMARCAL1 or ZRANB3 is sufficient to reverse fork degradation (Figures 4E and S4D), consistent with a previous report highlighting cooperative function of fork remodelers in promoting fork degradation (Taglialatela et al., 2017). SMARCAL1 or ZRANB3 co-depletion also restores fork protection in DDB1- and CUL4B-depleted cells (Figure S3B and S4E). Thus, SMARCAL1 and ZRANB3 remodel forks for DNA2- and MRE11-mediated nascent DNA digestion when DCAF14 is absent. Since DNA2-dependent hyper-resection drives fork degradation in BOD1L- and ABRO1-deficient cells, we probed for phosphorylated RPA S4/S8 levels to measure extent of resection. Whole-cell lysates and chromatin fractions isolated from HU-treated siDCAF14-transfected cells and DCAF14 KO cells, respectively, show minimal changes in RPA S4/S8 levels by immunoblotting (Figure 4F), suggesting that DCAF14 does not function to block excessive resection. BRCA2 stabilizes RAD51 nucleoprotein filaments to suppress nascent strand degradation. Thus, we co-depleted DCAF14 with either BRCA1 or BRCA2 to determine epistasis and observed that fork degradation phenotype was not additive (Figures 4G, S3C, S4F, and S4G). In response to replication stress, DCAF14-deficient cells are not defective in RAD51 foci formation (data not shown), which suggests DCAF14 functions downstream of BRCA2. Thus, we interrogated fork protection functions of RAD51 in the context of DCAF14 deficiency. We began by asking whether silencing RAD51 rescues fork degradation in DCAF14-depleted cells since RAD51 promotes fork reversal in BRCA2-deficient cells (Mijic et al., 2017). Consistent with previous observations (Bhat et al., 2018), silencing RAD51 using two potent siRNAs does not cause nascent strand degradation (Figures 4H and S4H). Under these circumstances, fork degradation is alleviated in DCAF14-deficient cells, suggesting that RAD51-mediated fork remodeling promotes nascent DNA digestion in cells lacking DCAF14. Since suppressing fork remodeling restores fork protection, we reasoned that RAD51-mediated filament stabilization is impaired when DCAF14 is absent. To test this hypothesis, DCAF14-deficient cells were transfected with constructs expressing wild-type (WT) RAD51 and ATPase-deficient RAD51 (K133R). K133R RAD51 is defective in ATP hydrolysis (Morrison et al., 1999) and forms hyperstable filaments (Sigurdsson et al., 2002). Overexpressing RAD51 or K133R RAD51 rescues fork degradation in FANCD2- and BRCA2-deficient cells (Schlacher et al., 2011, 2012). Consistent with our hypothesis, overexpressing both WT RAD51 and K133R RAD51 restores fork protection in DCAF14-deficient cells (Figures 4I and S4I). We also asked whether RADX removal reverses fork degradation since depleting RADX restores fork protection in cells devoid of BRCA, FANCA/D2, and BOD1L. Indeed, silencing RADX was sufficient to suppress fork degradation and chemosensitivity in DCAF14-deficient cells (Figures 4J, S3E, and S4J). Depleting anti-recombinase BLM also restores fork protection in DCAF14-deficient cells (Figure S3D). Overall, these data indicate that DCAF14 promotes replication fork protection in a RAD51-dependent manner.

DISCUSSION

Here, we report the replication stress response functions of CRL4DCAF14 in facilitating stalled fork stability and genome integrity. Mechanistically, DCAF14 acts at stalled forks to protect newly synthesized DNA from nuclease-mediated degradation. We propose a model wherein DCAF14 regulates RAD51 filament formation on regressed arms of reversed replication forks. Consistent with this interpretation, overexpressing RAD51 or the ATPase-deficient K133R RAD51 mutant restores fork protection, as observed previously in BRCA2- and FANCD2-defective cells. Moreover, removal of RAD51 antagonist RADX or anti-recombinase BLM also suppresses fork degradation. Thus, restoring RAD51 nucleoprotein filament stability at forks is sufficient to impart replication fork stabilization when DCAF14 is absent. Our results also suggest that RAD51-mediated fork remodeling persists in DCAF14-deficient cells since depleting RAD51, SMARCAL1, and ZRANB3 reverse fork degradation, supporting the model that fork remodeling provides substrates for nuclease-mediated degradation. We speculate that fork degradation occurs at reversed replication forks in DCAF14-deficient cells, as observed in cells with compromised BRCA2 function (Mijic et al., 2017; Taglialatela et al., 2017; Kolinjivadi et al., 2017b). We also find that DCAF14 suppresses fork degradation from MRE11 and DNA2 nucleases. A possible explanation is that both nucleases cooperate in processing DNA at similar replication intermediates. Alternatively, the nucleases could be acting on different replication intermediates during fork remodeling events. Nevertheless, the dependency on MRE11 and DNA2 is consistent with our model that RAD51 regulates fork protection in DCAF14-deficient cells since defective RAD51 stabilization induces MRE11-dependent degradation in BRCA2-deficient cells (Schlacher et al., 2011) and DNA2-dependent degradation in BOD1L-deficient cells (Higgs et al., 2015). Consistent with these interpretations, RADX silencing also restores fork protection since loss of RADX protects forks from MRE11 and DNA2 nucleases (Bhat et al., 2018; Dungrawala et al., 2017). Although RADX depletion suppresses replication-stress-induced chemosensitivity in DCAF14-deficient cells, further studies are necessary to establish whether fork protection modulates chemosensitivity across multiple genetic contexts. Our results further demonstrate that the absence of CRL4 components DDB1 and CUL4B phenocopy DCAF14, consistent with the notion that CRL4DCAF14 modulates replication fork stability in response to replication stress. Interestingly, silencing CUL4A does not alter fork elongation in CPT, indicating that CUL4A is non-essential for stabilizing stalled replication forks. Although CUL4A and CUL4B perform overlapping roles, distinct functions have been previously reported for both CUL4 family members. While lesion recognition is primarily mediated by CRL4ADDB2, CUL4B mutations are associated with X-linked mental retardation (Liu et al., 2012). Whether CRL4DCAF14 preferentially occupies CUL4B at perturbed forks is not known. Additionally, further studies are required to determine dependency on ubiquitin signaling for CRL4DCAF14 function at stalled forks and whether the complex modulates RAD51 activity directly or indirectly through other RAD51 regulators. Altogether, our study identifies DCAF14 as a fork protection component that functions to mitigate replication stress and provides a potential avenue to exploit CRL4 function to target fork vulnerabilities for chemotherapy.

STAR ★METHODS

RESOURCE AVAILABILITY

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Huzefa Dungrawala (hdungrawala@usf.edu).

Materials availability

Cell lines generated in this study are available upon request from the lead contact.

Data and code availability

Original data for immunoblots in the paper are available (http://dx.doi.org/10.17632/2785zxsyzd.1)

EXPERIMENTAL MODEL AND SUBJECT DETAILS

U2OS, HEK293T and DR-GFP U2OS reporter cell lines were cultured in DMEM with 7.5% FBS and 5% CO2 while RPE-hTERT were grown in DMEMF12 with 7.5% FBS and 7.5% NaHCO3. All cells were incubated at 37C with 5% CO2. U2OS and RPE-hTERT are female.

METHOD DETAILS

Generation of DCAF14 knockout (KO) cell lines

U2OS and HEK293T DCAF14 KO cell lines were generated using CRISPR/Cas9. Briefly, cells were co-transfected with pSpCas9 (BB)-2A-Puro vectors carrying guide RNAs targeting exon1-intron1 junction (GCTGCGATCGGGTAAGTCGG) and exon4 (GCGCACCGACTGGACCGGGA). Two days post puromycin selection, single cells were seeded using 96-well dishes. Single cell colonies were isolated after 2-3 weeks and screened for DCAF14 gene editing using PCR and immunoblotting.

Transfections

Plasmid transfections were carried out using FUGENE HD (Promega) in U2OS cells and polyethylenimine in HEK293T cells. siRNA transfections in U2OS cells were performed using Dharmafect1 (Dharmacon). All assays were performed 3 days post transfection for siRNA transfected samples and 4 days post transfection for plasmid transfected samples.

Antibodies, siRNAs and plasmids

The following antibodies were used for immunofluorescence (IF) and western blotting (WB) where indicated: anti-phospho-histone H2AX clone JBW301 (1:9000, IF, 05-636, Millipore), 53BP1 (1:300, IF, ab21083, Abcam), PCNA PC10 (1:300, IF, sc-56, SantaCruz), CHK1 G-4 (1:1000, WB, sc-8408, SantaCruz), SMARCAL1 (1:1000, WB, sc-376377, SantaCruz), ZRANB3 (1:1000, WB, A303-033A, Bethyl), BRCA1 (1:100, WB, sc-6954, Santa Cruz), BRCA2 (1:250, WB, OP95, Millipore), KU70 (1:2000, WB, ab92450, Abcam), RAD51 (1:1000, WB, ab63801, Abcam), Histone H3 (1:10,000, WB, ab1791, Abcam), RPA32 9H8 (1:1000, WB, ab2175, Abcam), Phospho RPA32 S4S8 (1:1000, WB, A300-245A, Bethyl), DCAF14/PHIP (1:500, WB, NBP2-33883, Novus and 1:200, IF, ab86244, Abcam), BLM (1:1000, WB, sc-365753, SantaCruz), MRE11 (1:1000, WB, 4895S, Cell Signaling), RADX (1:1000, WB, NBP2-13887, Novus), DNA2 (1:250, WB, PA5-77943, Invitrogen), CUL4A (1:500, WB, ab72548, Abcam), CUL4B (1:500, WB, VMA00360, Bio-rad) and DDB1 (1:1000, WB, 5428S, Cell Signaling Tech). Mouse anti-BrdU (1:100, 347580, BD) and rat anti-BrdU (1:100, ab6326, Abcam) were used for DNA fiber analyses to recognize IdU and CldU respectively. For proximity ligation analyses, mouse anti-RPA (1:200) and rabbit anti-DCAF14 (1:500) were utilized. ON-TARGETplus siRNAs were purchased from Dharmacon for all transient knockdown experiments except where specified. Four different siRNAs targeting the open reading frame of DCAF14 were purchased for knockdown validation: J-019291-05 (CAACACAAUUAUCGUACAA), J-019291-06 (UAAACUGACUGGCGGAUCA), J-019291-07 (GCACGUAUUUGGCAAUUUA) and J-019291-08 (GAUGGGAGGUUGUUAGCUA). J-019291-06 siRNA was used for all DCAF14 knockdown experiments. Other siRNAs used in this study: DDB1 (L-012890), RADX (J-014634), RAD51 (J-003530-11), RAD51 (J-003530-12), MRE11 (J-009271-08), BLM (L-007287), SMARCAL1 (J-013058-06), CUL4A (L-012610), CUL4B (L-017965), DNA2 (pool of D-026431-03 and D-026431-04, siGENOME Dharmacon), ZRANB3 (D-010025-03, siGENOME Dharmacon), BRCA1 (J-003461), BRCA2-6 (SI02653434, QIAGEN) and All-stars negative control siRNA (1027280, QIAGEN). DCAF14 cDNA clone (RC217114) and the entry vector (PS100001) were purchased from Origene. Human RAD51 (Item ID = 125570) and RAD51K133R (Item ID = 125571) expressing vectors were purchased from Addgene. All vectors were validated by sequencing.

Viability assays

For long-term survival assays, U2OS cells transfected with either non-targeting siRNA or DCAF14 siRNA were seeded in 60mm dishes for single colonies in triplicates. Cells were treated with HU and CPT for 24 hours and released into fresh media the following day whereas olaparib and cisplatin were left in the media for the duration of the assay. Colonies were fixed, stained and quantified after approximately 3-4 weeks using methylene blue (48% methanol, 2% methylene blue and 50% water). Plating efficiencies and survival fractions were calculated as described previously (Franken et al., 2006). Survival measurements were calculated as percentage of untreated control. All clonogenic survival assays were completed using three repeats.

Flow cytometry

For cell cycle analyses, cells were harvested following trypsinization, fixed in 70% ethanol, and treated with propidium iodide and RNase. To measure HR efficiency using GFP reporter cells, DR-GFP U2OS cells were transfected with the respective siRNAs in a 6-well dish. After refreshing the media next day, cells were transfected using 2ug of I-SceI expressing plasmid pCBASecI to induce DSBs. Post 72 hours, cells were harvested and analyzed immediately using flow cytometry. All flow cytometry analyses were carried out on BD FACSCanto II.

Immunofluorescence

For immunofluorescence analyses, detergent extraction was performed using 0.5% Triton X-100 prior to fixation using 3% paraformaldehyde/2% sucrose. For all experiments probing for DCAF14, cells were fixed with 4% paraformaldehyde. After blocking with 5% BSA/PBS, cells were incubated with primary and secondary antibodies and coverslips were mounted using Prolong Gold with DAPI (Invitrogen). To detect changes in exposed single-stranded DNA, cells were pulsed with 10uM BrdU for 10min. Where mentioned, cells were prelabeled using 10uM EdU for desired times to select cells in S-phase. Genome incorporated EdU was detected by click chemistry using Alexa Fluor 488 or 594 azide. Proximity ligation assays (PLA) were performed using Duolink In Situ Mouse/Rabbit Kit (Sigma) following manufacturer’s instructions. Images were acquired on Keyence BZ-X710 All-in-one fluorescence microscope using 20X objective (0.75NA) and analyzed using Cell Profiler.

Immunoprecipitation

HEK293T cells were transfected with either empty vector or DCAF14-MYC-FLAG vector. After 4hr of HU treatment, lysates were extracted using extraction buffer (50mM Tris-Cl, 150mM NaCl, 1% Triton X-100, 1mM Aprotinin, 1mM Leupeptin, 10mM NaF and 10mM β-glycerol phosphate) in presence of nuclease. After preclearing for 1 hour, lysates were incubated with FLAG magnetic beads (Sigma) overnight. Beads were washed 3X with extraction buffer, once with TBS and captures were eluted by boiling in sample buffer. The co-immunoprecipitates were separated by SDS-PAGE and proteins identified by immunoblotting.

Neutral Comet assay

DNA double strand breaks were detected using Trevigen comet assay kit. Tail moments were scored using Comet Score software (Tritek) and data presented as box and whisker plots.

DNA fiber analysis

DNA fiber labeling analysis was carried out essentially as described previously (Jackson and Pombo, 1998). For nascent strand degradation analysis, cells were sequentially pulsed with 20uM CldU and 100uM IdU for 30 min each followed by release into 4mM HU for 4 hours. To analyze fork elongation in presence of CPT, cells were pulsed with CldU for 30min, followed by IdU in presence of 100nM CPT for 30min. To assess fork recovery after release from replication stress, cells were pulsed with CldU for 30min, washed, released into 4mM HU for 4 hours, washed aging and pulsed with IdU for 60 min. Following treatments, cells were harvested, lysed on slides and DNA was stretched by tilting the slides. DNA was then fixed using 3:1 solution of methanol:acetic acid and stored at −20C overnight. Next day, DNA was denatured using 2.5N HCl for 70min, blocked in PBS containing 0.1% Triton X-100 and 10% goat serum, stained with primary antibodies for 2 hours to recognize IdU and CldU followed by staining with secondary antibodies for 1 hour. Images were acquired using a 60X oil objective (1.4NA) on Keyence BZ-X700 and fiber lengths were analyzed using ImageJ.

Whole cell lysate and chromatin extraction

Whole cell lysates were prepared by incubating cells on ice for 30 minutes in RIPA lysis buffer (50mM Tris-Cl pH = 7.4,1% NP-40, 150mM NaCl, 0.1% SDS, 1mM DTT, 0.5% Sodium deoxycholate, 1mM Aprotinin, 1mM Leupeptin, 1mM PMSF and 1mM Sodium Orthovanadate) supplemented with Pierce universal nuclease. Chromatin extractions were performed essentially as previously described (Méndez and Stillman, 2000).

QUANTIFICATION AND STATISTICAL ANALYSIS

All statistical analyses were completed using Graphpad Prism 8 (Graphpad). For pairwise comparisons of samples conforming to normal distribution, two-tailed t tests with Welch’s correction or FDR-corrected multiple t tests were utilized. One-way ANOVA tests with Tukey’s multiple comparisons were used for comparing three or more samples. For all other statistical analyses, two-tailed Mann-Whitney tests were utilized. All significance values were derived using p value = 0.05 as cutoff. Statistical details can be found in the figure legends including sample size, definition of center and dispersion measures, statistical test and significance values. No statistical methods were adopted for randomization, sample size estimation and inclusion/exclusion of data. All experiments were performed at least twice.

KEY RESOURCES TABLE

REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies
Anti-phospho-histone H2AX clone JBW301MilliporeCat#05-636; RRID:AB_2755003
Rabbit polyclonal anti-53BP1AbcamCat#21083; RRID:AB_722496
Mouse monoclonal anti-PCNASanta Cruz BiotechnologyCat#sc-56; RRID:AB_628110
Mouse monoclonal anti-CHK1Santa Cruz BiotechnologyCat#sc-8408; RRID:AB_627257
Mouse monoclonal anti-SMARCAL1Santa Cruz BiotechnologyCat#sc376377; RRID:AB_10987841
Rabbit polyclonal anti-ZRANB3Bethyl LabsCat#A303-033A; RRID:AB_10773114
Mouse monoclonal anti-BRCA2Millipore SigmaCat#OP95; RRID:AB_2067762
Mouse monoclonal anti-BRCA1Santa Cruz BiotechnologyCat#sc6954; RRID:AB_626761
Mouse monoclonal anti-BLMSanta Cruz BiotechnologyCat#sc365753; RRID: AB_10851630
Rabbit monoclonal anti-KU70AbcamCat#ab92450; RRID:AB_10562280
Rabbit polyclonal anti-RAD51AbcamCat#ab63801; RRID:AB_1142428
Rabbit polyclonal anti-H3AbcamCat#ab1791; RRID:AB_302613
Mouse monoclonal anti-RPA32AbcamCat#ab2175; RRID:AB_302873
Rabbit polyclonal anti-phospho RPA32 (S4/S8)Bethyl LabsCat#A300-245A; RRID:AB_210547
Rabbit polyclonal anti-PHIPAbcamCat#ab86244; RRID:AB_1925318
Rabbit polyclonal anti-PHIPNovus BiologicalsCat#NBP2-33883
Rabbit polyclonal anti-RADXNovus BiologicalsCat#NBP2-13887; RRID:AB_2687552
Rabbit polyclonal anti-MRE11Cell Signaling TechnologyCat#4895S; RRID:AB_2145100
Rabbit polyclonal anti-DNA2InvitrogenCat#PA5-77943; RRID:AB_2735727
Rabbit polyclonal anti-CUL4AAbcamCat#ab72548; RRID:AB_1268363
Mouse monoclonal anti-CUL4BBio-radCat#VMA00360
Rabbit polyclonal anti-DDB1Cell Signaling TechnologyCat#5428S; RRID:AB_10634753
Mouse anti-BrdUBD BiosciencesCat#347580; RRID:AB_10015219
Rat monoclonal anti-BrdUAbcamCat#ab6326; RRID:AB_305426
Alexa Fluor 488 AzideInvitrogenCat#A10266
Alexa Fluor 594 AzideInvitrogenCa#A10270
Bacterial and virus strains
DH5αInvitrogenCat#18265017
Chemicals, peptides, and recombinant proteins
ProLong Gold Antifade MountantInvitrogenCat#P36930
ProLong Gold Antifade Mountant with DAPIInvitrogenCat#P36931
FuGENE® HD Transfection ReagentPromegaCat#E2311
DharmaFECT 1 Transfection ReagentDharmaconCat#T-2001-03
Puromycin DihydrochlorideGIBCOCat#A1113803
CldUMillipore SigmaCat#C6891
IdUMillipore SigmaCat#I7125
EdUCayman Chemical CompanyCat#20518
Propidium IodideInvitrogenCat#00-6990-50
PolyethyleniminePolysciences IncCat#23966
HydroxyureaMillipore SigmaCat#H8627
CamptothecinSelleckchemCat#S1288
AphidicolinMillipore SigmaCat#178273
CisplatinUSPCat# 1134357
OlaparibSelleckchemCat# S1060
Critical commercial assays
Duolink In Situ Red Starter Kit Mouse/RabbitMillipore SigmaCat#DUO92101
Comet assay kitTrevigenCat#4250-050-ESK
Deposited Data
Raw dataThis paperhttp://dx.doi.org/10.17632/2785zxsyzd.1
Experimental models: cell lines
U2OSATCCCat#HTB-96; RRID:CVCL_0042
HEK293TATCCCat#CRL-3216; RRID:CVCL_0063
RPE-hTERTATCCCat#CRL-4000; RRID:CVCL_4388
DR-GFP U2OSPierce et al., 1999N/A
Oligonucleotides
DCAF14 siRNADharmaconCat#J-019291-05
DCAF14 siRNADharmaconCat#J-019291-06
DCAF14 siRNADharmaconCat#J-019291-07
DCAF14 siRNADharmaconCat#J-019291-08
DDB1 siRNADharmaconCat#L-012890
RADX siRNADharmaconCat#J-014634
RAD51 siRNADharmaconCat#J-003530-11
RAD51 siRNADharmaconCat#J-003530-12
MRE11 siRNADharmaconCat#J-009271-08
SMARCAL1 siRNADharmaconCat#J-013058-06
CUL4A siRNADharmaconCat#L-012610
CUL4B siRNADharmaconCat#L-017965
DNA2 siRNADharmaconCat#D-026431-03
DNA2 siRNADharmaconCat#D-026431-04
ZRANB3 siRNADharmaconCat#D-010025-03
BRCA1 siRNADharmaconCat#J-003461
BLM siRNADharmaconCat#L-007287
BRCA2 siRNAQIAGENCat#SI02653434
All-stars negative control siRNAQIAGENCat#1027280
Recombinant DNA
pSpCas9(BB)-2A-Puro (PX459) V2.0Ran et al., 2013Addgene Cat#62988
pCMV6-Entry Mammalian Expression VectorOrigeneCat#PS100001
PHIP (NM_017934) Human Tagged ORF CloneOrigeneCat#RC217114
CMV-hRad51Rees et al., 2019Addgene Cat#125570
CMV-hRad51(K133R)Rees et al., 2019Addgene Cat#125571
Software and algorithms
Graphpad PrismGraphpad softwarehttps://www.graphpad.com/scientific-software/prism/
ImageJNIHhttps://imagej.nih.gov/ij/download.html
Cell ProfilerBroad Institutehttps://cellprofiler.org/
Comet ScoreTritekhttp://www.cometassay.com/index_files/Page484.htm
  44 in total

1.  SMARCAL1 catalyzes fork regression and Holliday junction migration to maintain genome stability during DNA replication.

Authors:  Rémy Bétous; Aaron C Mason; Robert P Rambo; Carol E Bansbach; Akosua Badu-Nkansah; Bianca M Sirbu; Brandt F Eichman; David Cortez
Journal:  Genes Dev       Date:  2012-01-15       Impact factor: 11.361

2.  Polyubiquitinated PCNA recruits the ZRANB3 translocase to maintain genomic integrity after replication stress.

Authors:  Alberto Ciccia; Amitabh V Nimonkar; Yiduo Hu; Ildiko Hajdu; Yathish Jagadheesh Achar; Lior Izhar; Sarah A Petit; Britt Adamson; John C Yoon; Stephen C Kowalczykowski; David M Livingston; Lajos Haracska; Stephen J Elledge
Journal:  Mol Cell       Date:  2012-06-14       Impact factor: 17.970

3.  RADX Modulates RAD51 Activity to Control Replication Fork Protection.

Authors:  Kamakoti P Bhat; Archana Krishnamoorthy; Huzefa Dungrawala; Edwige B Garcin; Mauro Modesti; David Cortez
Journal:  Cell Rep       Date:  2018-07-17       Impact factor: 9.423

4.  Pleckstrin homology domain-interacting protein (PHIP) as a marker and mediator of melanoma metastasis.

Authors:  David De Semir; Mehdi Nosrati; Vladimir Bezrookove; Altaf A Dar; Scot Federman; Geraldine Bienvenu; Suraj Venna; Javier Rangel; Joan Climent; Tanja M Meyer Tamgüney; Suresh Thummala; Schuyler Tong; Stanley P L Leong; Chris Haqq; Paul Billings; James R Miller; Richard W Sagebiel; Robert Debs; Mohammed Kashani-Sabet
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-17       Impact factor: 11.205

5.  BOD1L Is Required to Suppress Deleterious Resection of Stressed Replication Forks.

Authors:  Martin R Higgs; John J Reynolds; Alicja Winczura; Andrew N Blackford; Valérie Borel; Edward S Miller; Anastasia Zlatanou; Jadwiga Nieminuszczy; Ellis L Ryan; Nicholas J Davies; Tatjana Stankovic; Simon J Boulton; Wojciech Niedzwiedz; Grant S Stewart
Journal:  Mol Cell       Date:  2015-07-09       Impact factor: 17.970

6.  De novo PHIP-predicted deleterious variants are associated with developmental delay, intellectual disability, obesity, and dysmorphic features.

Authors:  Emily Webster; Megan T Cho; Nora Alexander; Sonal Desai; Sakkubai Naidu; Mir Reza Bekheirnia; Andrea Lewis; Kyle Retterer; Jane Juusola; Wendy K Chung
Journal:  Cold Spring Harb Mol Case Stud       Date:  2016-11

7.  A game of substrates: replication fork remodeling and its roles in genome stability and chemo-resistance.

Authors:  Julia Sidorova
Journal:  Cell Stress       Date:  2017-12-05

Review 8.  Holding All the Cards-How Fanconi Anemia Proteins Deal with Replication Stress and Preserve Genomic Stability.

Authors:  Arindam Datta; Robert M Brosh
Journal:  Genes (Basel)       Date:  2019-02-22       Impact factor: 4.096

9.  The RepID-CRL4 ubiquitin ligase complex regulates metaphase to anaphase transition via BUB3 degradation.

Authors:  Sang-Min Jang; Jenny F Nathans; Haiqing Fu; Christophe E Redon; Lisa M Jenkins; Bhushan L Thakur; Lőrinc S Pongor; Adrian M Baris; Jacob M Gross; Maura J OʹNeill; Fred E Indig; Steven D Cappell; Mirit I Aladjem
Journal:  Nat Commun       Date:  2020-01-07       Impact factor: 14.919

10.  Abro1 maintains genome stability and limits replication stress by protecting replication fork stability.

Authors:  Shengfeng Xu; Xiao Wu; Ling Wu; Andy Castillo; Jianxin Liu; Erin Atkinson; Atanu Paul; Dan Su; Katharina Schlacher; Yoshihiro Komatsu; M James You; Bin Wang
Journal:  Genes Dev       Date:  2017-07-15       Impact factor: 11.361

View more
  4 in total

1.  RADX prevents genome instability by confining replication fork reversal to stalled forks.

Authors:  Archana Krishnamoorthy; Jessica Jackson; Taha Mohamed; Madison Adolph; Alessandro Vindigni; David Cortez
Journal:  Mol Cell       Date:  2021-06-08       Impact factor: 19.328

2.  Identification of replication fork-associated proteins in Drosophila embryos and cultured cells using iPOND coupled to quantitative mass spectrometry.

Authors:  Alexander Munden; Madison T Wright; Dongsheng Han; Reyhaneh Tirgar; Lars Plate; Jared T Nordman
Journal:  Sci Rep       Date:  2022-04-28       Impact factor: 4.996

3.  A trivalent nucleosome interaction by PHIP/BRWD2 is disrupted in neurodevelopmental disorders and cancer.

Authors:  Marc A J Morgan; Irina K Popova; Anup Vaidya; Jonathan M Burg; Matthew R Marunde; Emily J Rendleman; Zachary J Dumar; Rachel Watson; Matthew J Meiners; Sarah A Howard; Natalia Khalatyan; Robert M Vaughan; Scott B Rothbart; Michael-C Keogh; Ali Shilatifard
Journal:  Genes Dev       Date:  2021-11-24       Impact factor: 12.890

4.  PHIP variants associated with Chung-Jansen syndrome disrupt replication fork stability and genome integrity.

Authors:  Neysha Tirado-Class; Caitlin Hathaway; Wendy K Chung; Huzefa Dungrawala
Journal:  Cold Spring Harb Mol Case Stud       Date:  2022-07-21
  4 in total

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