Abstract
Ubiquitin E3 ligases play crucial roles in the DNA damage response (DDR) by modulating the turnover, localization, activation, and interactions of DDR and DNA replication proteins. We performed a CRISPR-Cas9 knockout screen focused on ubiquitin E3 ligases and related proteins with the DNA topoisomerase I inhibitor camptothecin. This led us to establish that MAEA, a core subunit of the CTLH E3 ligase complex, is a critical regulator of homologous recombination and the replication stress response. In tandem, we identified eight patients with variants in MAEA who present with a neurodevelopmental disorder that we term DIADEM (Developmental delay and Intellectual disability Associated with DEfects in MAEA). Analysis of patient-derived cell lines and mutation modeling reveal an underlying defect in HR-dependent DNA repair and replication fork restart and protection as a likely cause of disease. Mechanistically, we find that MAEA dysfunction hinders DNA repair by reducing the efficiency of RAD51 loading at sites of DNA damage, which we propose may contribute to the presentation of DIADEM by compromising genome integrity and cell division during development.
Keywords: DNA Repair, DNA Replication, Ubiquitin, Neurodevelopmental Disorder
Subject terms: Genetics, Gene Therapy & Genetic Disease
Synopsis

The E3 ubiquitin ligase subunit MAEA promotes RAD51 loading to drive DNA repair and replication. In its absence, cells struggle to survive replication stress. MAEA variants found in patients presenting with a nonsyndromic developmental disorder called DIADEM also impair DNA repair and replication.
MAEA loss prevents RAD51 loading and, consequently, efficient repair of single-ended double-strand breaks by homologous recombination (HR).
MAEA null cells face impaired replication fork progression, protection, and restart, making them vulnerable to replication stress.
Eight patients with variants in MAEA present with DIADEM, a condition characterized by global developmental delay.
Clinical MAEA variants yield similar sensitivities to DNA damage and replication stress when compared to MAEA null cells.
MAEA loss is a putative marker of HR deficiency and could provide a novel axis for therapeutic diagnosis and intervention.
The E3 ubiquitin ligase subunit MAEA promotes RAD51 loading to drive DNA repair and replication. In its absence, cells struggle to survive replication stress. MAEA variants found in patients presenting with a nonsyndromic developmental disorder called DIADEM also impair DNA repair and replication.

The paper explained.
Problem
DNA repair and DNA replication are intimately tied to diseases like cancer and neurodevelopmental conditions. The full landscape of DNA damage response (DDR) genes is not yet known, leading to gaps in clinical understanding. Eight patients with variants in the gene MAEA, part of the large CTLH E3 ubiquitin ligase complex, present with global developmental delay and other craniofacial differences. To date, the genetic basis for this condition remains undescribed.
Results
MAEA null cells are highly vulnerable to chemotherapeutics like the PARP inhibitor olaparib. Loss of MAEA impairs cellular ability to load RAD51, a recombinase that promotes replication fork protection and restart and drives DNA repair by means of homologous recombination (HR). Variants from the DIADEM patient cohort similarly diminish the DNA repair and replication capacity in both model cell systems and patient fibroblasts.
Impact
Uncovering a novel regulator of HR and DNA replication provides an untapped therapeutic axis for stratifying patients and treating a range of diseases like cancer. Moreover, describing the clinical presentation of a cohort of DIADEM patients and offering a genetic basis for the condition could provide early diagnostic criteria to help clinicians and families intervene and improve patients’ quality of life.
Introduction
As DNA is constantly attacked by exogenous and endogenous agents, DNA repair pathways must function efficiently to avoid the accumulation of deleterious genomic alterations (Jackson and Bartek, 2009). There is ample crosstalk between the DNA replication and DNA repair processes, exemplified by RAD51, which is essential for homologous recombination (HR)-dependent repair of DNA double-strand breaks (DSBs) and protection/restart of damaged replication forks (Zellweger et al, 2015; Bhat and Cortez, 2018; Liu et al, 2023). Consequently, germline loss-of-function or hypomorphic mutations in DNA damage response (DDR) genes often compromise both DNA repair and replication, leading to clinical phenotypes including neurodegeneration, immunodeficiency, skeletal abnormalities, intellectual dysfunction, bone marrow failure, and growth delay (Jackson and Bartek, 2009; Qing et al, 2023).
Protein ubiquitylation is critical in promoting the recruitment and retention of proteins to sites of DNA damage, regulating DNA repair and replication protein turnover, and/or altering their enzymatic activities (Jackson and Durocher, 2013; Brown and Jackson, 2015; Polo and Jackson, 2011). Ubiquitylation in human cells is tightly regulated and mediated via enzymatic cascades involving either one of two E1 activating enzymes, one of ~40 E2 conjugating enzymes, and over 600 known E3 ligases, and various associated factors such as substrate adapters that enhance target specificity (Brown and Jackson, 2015; Schmidt et al, 2015; Chauhan et al, 2024). Multiple E3 ubiquitin ligases, including those involved in the DDR, have previously been linked to inherited and de novo pathologies in humans associated with diverse clinical phenotypes. These include immunodeficiency and neurodegeneration (e.g., RNF168); growth delay and cancer predisposition (e.g., BRCA1); neurodevelopmental abnormalities (e.g., RFWD3); and primordial dwarfism (e.g., TRAIP) (Stewart et al, 2007, 2009; Domchek et al, 2013; Sawyer et al, 2015; Knies et al, 2017; Chauhan et al, 2024).
Here, using CRISPR-Cas9 screening (Awwad et al, 2023), we identify the CTLH (C-terminal to LisH) ubiquitin E3 ligase complex as a regulator of DNA repair and replication. We demonstrate that CTLH—and specifically its RING domain-containing MAEA subunit required for catalytic activity—promotes RAD51 loading at DNA damage sites. We also show that loss of MAEA severely impairs HR, as well as replication fork progression, protection, and restart. Furthermore, we describe a cohort of patients with pathogenic MAEA variants who exhibit neurodevelopmental defects and abnormalities in the cellular replication stress response. This highlights the clinical importance of the CTLH complex in maintaining genome instability.
Results
Loss of the CTLH complex sensitizes cells to seDSB-inducing agents
To identify ubiquitylation components mediating responses to single-ended DNA DSBs (seDSBs), we generated a focused single guide RNA (sgRNA) CRISPR-Cas9 knockout library targeting 886 E3 ligases and associated substrate adapters and used this to screen for genes that impact the sensitivity of U2OS cells to the topoisomerase I (TOP1) inhibitor, camptothecin (Fig. 1A; Table EV1). Camptothecin-induced seDSBs are S-phase specific and repaired via HR (Caldecott, 2024). The screen successfully identified E3 ubiquitin ligases with known roles in HR, including RNF168, BRCA1, and BARD1 (Fig. 1B; Dataset EV1). The CRISPR screen also identified subunits of the CTLH complex as conferring resistance to camptothecin. These included MAEA, WDR26, RMND5A, GID8, and RANBP9 (Fig. 1B; Dataset EV1), which represented every CTLH subunit in our focused sgRNA library.
Figure 1. Loss of CTLH components confers hypersensitivity to seDSB-inducing agents.
(A) Overview of the E3 ubiquitin ligase CRISPR screen. (B) DrugZ analysis of (A). Black symbols denote positive control proteins, while red symbols denote CTLH complex members. Diamonds and circles denote significant and non-significant hits, respectively. (C) MAEA domain map displaying CRISPR-induced edits in MAEA KO and MAEA hypomorph U2OS cells. (D) Clonogenic survival assays in MAEA KO U2OS cells using camptothecin and olaparib. (E) Clonogenic survival assays in HAP1 cell lines using camptothecin and olaparib. (F) Clonogenic survival assays using etoposide in the indicated U2OS cell lines. (D–F) n = 3 independent experiments; error bars denote mean ± SEM. KO knockout, HM hypomorph. Source data are available online for this figure.
The CTLH complex is known to regulate gluconeogenic enzymes in yeast (Menssen et al, 2012) and glycolytic enzymes in mammals (Maitland et al, 2021). However, our results suggested the complex has a previously unrecognized role in the DDR. Given that the ubiquitylation activity of the CTLH complex depends on the functional RING domain of the catalytic subunit MAEA (Santt et al, 2008; Braun et al, 2011), we generated MAEA knockout (KO) and hypomorphic (HM) U2OS cells using CRISPR-Cas9 (Figs. 1C and EV1A–C). The HM allele is a 33-base pair in-frame deletion leading to loss of amino acid residues 108–117, resulting in a truncated protein expressed at lower levels than wild-type (WT) MAEA (Fig. EV1A). Compared to WT cells, MAEA KO and HM cells were hypersensitive to camptothecin and the PARP inhibitor, olaparib—both of which induce seDSBs during S phase (Fig. 1D). We found that inactivating the genes encoding CTLH components MAEA, WDR26, RMND5A, and RANBP9 led to camptothecin and olaparib hypersensitivity in HAP1 cells, demonstrating that this role is shared with other CTLH subunits and is not a U2OS-specific effect (Fig. 1E). Goh et al recently showed that HAP1 cells are unusually sensitive to camptothecin due a debilitating mutation in TDP1 (Goh et al, 2025). Further sensitization of HAP1 cells to camptothecin upon CTLH loss suggested that TDP1 and CTLH function in parallel pathways to protect cells from abortive TOP1 lesions.
Figure EV1. MAEA KO and HM cell line validation.
(A) Immunoblot for MAEA in the indicated U2OS cell lines; n = 2 independent experiments. (B) TIDE analysis of the sgRNA target site in MAEA KO and MAEA HM cells. (C) Sanger trace analysis of the sgRNA target site in MAEA KO and HM cells. (D) Cell cycle analysis of MAEA KO and HM cells. (E, F) Representative images of untreated WT and MAEA-deficient U2OS (E) and HAP1 (F) cells. (G) Immunoblot for MAEA in U2OS following siRNA transfection; n = 3 independent experiments. (H, I) Representative images (H) and colony counts (I) of U2OS cells with or without siRNA-mediated MAEA depletion. (J) The average colony size of siRNA-transfected U2OS cells at 500 cells per well. (K) Total area coverage of U2OS colonies following siRNA transfection. (I–K) Bars represent the mean ± SEM. KO knockout, HM hypomorph. Source data are available online for this figure.
MAEA loss did not confer detectable hypersensitivity to etoposide (Fig. 1F), which induces double-ended DSBs that do not primarily rely on HR for repair. Thus, our findings suggested that CTLH may function specifically in HR-related events during S phase. We observed that MAEA loss increased the percentage of cells in S phase, supporting the idea that these cells experience replication stress even without exposure to exogenous genotoxic agents (Fig. EV1D). In support of this notion, we observed that MAEA-deficient U2OS cells form smaller colonies than WT cells, although this phenotype does not appear to be a feature of MAEA KO HAP1 cells (Fig. EV1E,F). We also targeted MAEA using siRNA (Fig. EV1G) in U2OS cells to ensure the observed phenotypes were not the result of adaptation in knockout cells. We assessed plating efficiency in untreated conditions and observed that siRNA-mediated MAEA depletion compromised both colony formation and growth (Fig. EV1H–K).
Clinical MAEA variants associated with neurodevelopmental defects in humans hypersensitize cells to seDSB-inducing agents
The CTLH complex functions in development (Goto and Shibuya, 2022; Briney et al, 2025), and while mutations in the core CTLH complex have not been previously associated with pathogenesis, variants in the CTLH substrate adapter, WDR26, can cause Skraban-Deardorff (SD) syndrome. SD syndrome is characterized by a developmental delay, abnormal gait, and seizures (Skraban et al, 2017; Pavinato et al, 2021; Cospain et al, 2021; Cheng et al, 2022; Hu et al, 2022; Innella et al, 2023). SD has been associated with compromised CTLH complex assembly and chromatin accessibility (Gross et al, 2024; Onea et al, 2025).
From the Deciphering Developmental Disorders (DDD) database and the 100,000 Genomes Project, and by establishing clinical connections via GeneMatcher, we identified eight individuals with likely pathogenic variants in MAEA (Tables EV2 and 3) (Firth et al, 2009; Turnbull et al, 2018; Sobreira et al, 2015; Cacheiro et al, 2020). All individuals presented with developmental delay, intellectual disability, and delayed acquisition of speech. All patients (three male and five female) were between the ages of 19 months and 16 years at the time of evaluation, and consistent traits included delayed speech and language acquisition, developmental delay, and intellectual disability (DD/ID). Most (7/8) had abnormal muscle tone, dysmorphic features, and motor delay. Seizures and autism spectrum disorder were found in a subset (2/8 and 1/8, respectively). In summary, the characteristics of these patients may constitute a novel nonsyndromic DD/ID. While most patients (7/8) exhibited some clinical features typically associated with known inherited DNA repair or replication deficiency disorders, others, such as seizures, short stature, moderate-to-severe microcephaly, skeletal abnormalities, behavioral issues, immunodeficiency, and bone marrow failure, were either absent or displayed only by one or two affected individuals (Tables EV2 and 3).
All but one of the identified patient-associated MAEA variants were de novo heterozygous variants, suggesting that the affected allele has dominant-negative effects. The other variant (c.1009 C > T;p.Arg337Cys), present in two affected siblings (MAEA-P5a and MAEA-P5b), was present in a homozygous state suggestive of a recessive mode of inheritance. These siblings also inherited a homozygous variant of uncertain significance (c.317 G > A;pArg106His) in LETM1, a gene previously linked with a neurodegenerative disorder caused by mitochondrial dysfunction (Kaiyrzhanov et al, 2022). However, a comparison of the patients across the cohort coupled with assessments of lactate levels, urine organic acids, and plasma amino acids in patients P5a and P5b indicated that the LETM1 variant was unlikely to be pathogenic. Moreover, we have identified the same LETM1 variant in another patient (with no MAEA variant) who has no cognitive impairment, further suggesting that LETM1 dysfunction is unrelated to the DD/ID exhibited by patients P5a/P5b. In summary, the characteristics observed in these eight patients likely constitute a novel nonsyndromic DD/ID associated with pathogenic variants in MAEA, which we have termed DIADEM (Developmental delay and Intellectual disability Associated with DEfects in MAEA).
Further analyses suggested that all patient-associated MAEA variants we describe are pathogenic. All missense/truncating MAEA variants except two (those in P2 and P6) are in or near its C-terminal RING domain. The intronic variant present in P2 is predicted to disrupt splicing and create a frameshift mutation that truncates MAEA just before the RING domain. To better understand and predict the impacts of these patient variants, we used existing protein structures (Chrustowicz et al, 2023) to interrogate the local protein-structural environments of each of the four MAEA patient missense variants within the context of the CTLH catalytic module containing MAEA, RMND5A, UBE2H, and ubiquitin (Fig. 2A) (Chrustowicz et al, 2023). This revealed that Met-396 packs into a hydrophobic pocket on the RMND5A surface that cannot accommodate a substitution with the more bulky and polar arginine side chain found in patient P4. By contrast, Glu-349 engages in electrostatic attraction with a region of positive potential on the ubiquitin surface, and substitution with lysine, as in patients P1 and P7, introduces additional steric bulk and apposition of like charges.
Figure 2. Clinical MAEA variants associated with neurodevelopmental defects in humans hypersensitize cells to seDSB-inducing agents.
(A) Cα trace representation of the MAEA/RMND5A/UBE2H complex crystal structure (PDBID: 8PJN). Altered residues are shown as CPK spheres colored by atom (C – cyan, O – red, N – blue, S – yellow). The environments of each mutant site are shown in the expansion insets. (B) Domain map of MAEA with C > S mutations and clinical variants labeled. Red text indicates cells were complemented with these MAEA variants and tested in subsequent assays. (C–F) Clonogenic survival assays in the indicated U2OS cell lines using camptothecin or olaparib, as indicated. Data in (C–F) are the combined results of three independent experiments. Bars denote mean ± SEM. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001. 1S = eGFP-MAEA1S (C340S), 2S = eGFP-MAEA2S (C314S, C317S), 3S = eGFP-MAEA3S (C314S, C317S, and C340S). Source data are available online for this figure.
Arg-337 engages in non-polar interactions with both tryptophan and valine residues from RMND5A, so replacement with cysteine, as in patients P5a and P5b, would reduce the extent of these favorable contacts and would also remove other favorable electrostatic interactions with glutamate and aspartate residues from the same RMND5A loop. Finally, the RING-distal substitution of Arg-34 with cysteine in patient P6 appears to directly affect a cluster of phosphorylation-dependent interactions between the MAEA/RMND5A stalk region and the UBE2H C-terminal region that are crucial for the formation of the core MAEA/RMND5A/UBE2H complex (Lampert et al, 2018) (Fig. 2A). Together, these analyses suggested that the patient-associated MAEA variants we identified would significantly compromise the integrity of the CTLH ubiquitin ligase complex.
To test whether MAEA ubiquitylation activity is required for its role in the DDR, we complemented MAEA KO U2OS cells with multiple MAEA constructs. These included WT N-terminal tagged eGFP-MAEA (eGFP-MAEAWT) and a RING domain mutant (eGFP-MAEA3S) version of eGFP-MAEA containing three cysteine to serine (C > S) substitutions: Cys314Ser, Cys317Ser, and Cys340Ser (Figs. 2B and EV2A,B). We mutated these sites based on their evolutionary conservation and their predicted and observed importance for ubiquitylation: Cys314 and Cys317 match the RING domain consensus motif (C-X2-C-X[9-39]-C-X[1-3]-H-X[2–3]-C- X2-C-X[4-48]-C-X2-C) while Cys340 was reported to be essential for MAEA (Gid9) activity in yeast (Braun et al, 2011). The corresponding cysteine in the RING of RMND5A (Gid2) reportedly plays a similar role (Santt et al, 2008). We also generated eGFP-MAEA1S (Cys340Ser) and eGFP-MAEA2S (Cys314Ser, Cys317Ser) cell lines for comparison (Figs. 2B and EV2B).
Figure EV2. Clinical and C > S MAEA variants are evolutionarily conserved.
(A) Aminode analysis (Chang et al, 2018) of MAEA, with C > S mutations annotated. The red line represents conservation across species. Species compared in the analysis are listed in the box. (B) Immunoblot assessing expression of eGFP-MAEA constructs; n = 2 independent experiments. Source data are available online for this figure.
In clonogenic survival assays, expression of eGFP-MAEAWT rescued the hypersensitivity of MAEA KO cells to camptothecin and olaparib, while expression of eGFP (hereafter eGFP Only) did not. Furthermore, eGFP-MAEA1S, eGFP-MAEA2S, and eGFP-MAEA3S variants were expressed at similar levels to eGFP-MAEAWT, but failed to complement hypersensitivity to camptothecin and olaparib (Figs. 2C–E and EV2B). These investigations thus indicated that the RING domain—and therefore the ubiquitin ligase function—of MAEA is critical for cellular tolerance of seDSB induction.
We next utilized the MAEA KO U2OS cells to model the impact of MAEA variants from patients P1 and P7 (eGFP-MAEAE349K) and P2 (eGFP-MAEAM396R) in an isogenic cell background (Table EV2; Fig. 2B). In clonogenic survival assays, unlike eGFP-MAEAWT, eGFP-MAEAE349K and eGFP-MAEAM396R failed to complement the camptothecin hypersensitivity of MAEA KO cells, despite expressing at similar levels to eGFP-MAEAWT (Figs. 2F and EV2B). This indicated that these clinical variants, like disruption of the MAEA RING domain, confer hypersensitivity to seDSB-inducing agents.
MAEA loss impairs HR and RAD51 loading but not DNA end resection
To expand on the above findings, we used the “traffic light reporter” (TLR) assay to measure HR efficiency (Certo et al, 2011) in cells depleted of MAEA or RMND5A. In this system, accurate repair of the chromosomally integrated GFP target only occurs if the induced DSB is repaired by HR with a donor template. As expected, depletion of CtIP, which is crucial for DSB end resection (Huertas and Jackson, 2009), greatly impaired HR (Fig. 3A). Moreover, following siRNA-mediated depletion of MAEA or RMND5A, we observed a significant reduction (40–80%) of HR relative to cells transfected with a control siRNA against luciferase (Figs. 3A and EV3A; note that the analyses included adjustments for cell cycle profiles). Taken together, these findings indicated a key role for MAEA and the CTLH complex in promoting HR-dependent DNA repair.
Figure 3. MAEA loss impairs RAD51 loading, but not DNA end resection.
(A) TLR assay in U2OS cells with the indicated siRNAs (n = 3). Statistics were generated by performing an ordinary one-way ANOVA comparing each siRNA to the siLuc control. siCtIP and siLuc data are from five independent experiments. siMAEA and siRMND5A data come from three independent experiments. (B, C) Immunofluorescence-based quantification (B) and representative images (C) of chromatinized RPA in S phase cells treated with DMSO (1 h) or camptothecin (1 μM, 1 h). (D, E) Quantification (D) and representative images (E) of BrdU in U2OS cells treated with DMSO (1 h) or camptothecin (1 μM 1 h). (F, G) Representative images (F) and quantification (G) of RAD51 foci in S phase U2OS cells treated with DMSO or camptothecin. All quantifications of foci are the combined results of three independent experiments. Extended fluorescent images from (C, E) can be found in Fig.EV3C,D. For (B–G), P values were generated using a two-tailed Kruskal–Wallis test. γ is a measure of effect size. Data represents three independent experiments. Bars denote mean ±95% CI. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; exact P values can be found in Appendix Table S1. Scale bars = 20μm. Source data are available online for this figure.
Figure EV3. MAEA loss compromises RAD51 foci formation.
(A) Immunoblot against the indicated proteins with the indicated siRNAs; n = 3 independent experiments. (B) Quantification of BrdU immunofluorescence, after camptothecin treatment in the presence or absence of siRNA-mediated CtIP depletion. (C, D) Representative images from Fig. 3C,E expanded to include γH2AX staining, indicative of the S phase cells. (E) Immunoblot against RAD51 in WT and MAEA KO U2OS cells. (F) Immunoblot for indicated proteins in U2OS WT or MAEA KO cells. (E, F) are each n = 3 independent experiments. P values were generated by performing a two-tailed Kruskal–Wallis test. γ is a measure of effect size. The data were the combined results of two independent experiments. Bars denote mean ± 95% CI. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; exact P values can be found in Appendix Table S1. Scale bars = 20 μm. NT non-treated, KO knockout. Source data are available online for this figure.
We next investigated where CTLH functions in the HR pathway. DNA end resection is a decisive step during DNA DSB processing that dictates repair by HR. Therefore, we examined the levels of single-stranded DNA (ssDNA), as measured by both native BrdU staining and chromatin-bound RPA, in control and MAEA KO cells following camptothecin exposure (Sartori et al, 2007). Only cells that were γH2AX positive were included in our analysis, since camptothecin mainly induces DSBs (and therefore γH2AX signal) in S phase. We observed no resection defects in S phase MAEA KO cells after camptothecin treatment (Figs. 3B–E and EV3B–D). However, we observed a modest increase in native BrdU staining and chromatin-bound RPA levels in untreated MAEA KO S phase cells, which was rescued by CtIP depletion (Figs. 3B–E and EV3B–D). These data indicate that MAEA does not hinder camptothecin-induced DSB resection. They also suggested that MAEA loss leads to increased resection markers in untreated conditions, which most likely arise from defective HR-dependent resolution of endogenously occurring DNA damage at sites of DNA replication.
Following resection and RPA loading, a key next step in HR is the replacement of RPA with RAD51. We therefore quantified RAD51 foci formation, a known marker of functional HR (Naipal et al, 2014), in S phase WT and MAEA KO U2OS cells following camptothecin treatment, which both activate HR and induce RAD51-mediated replication fork reversal (Zellweger et al, 2015; Chaudhuri et al, 2012). Compared with WT cells, MAEA KO cells exhibited a pronounced failure to form RAD51 foci in S phase cells despite expressing RAD51 at WT levels (Figs. 3F–G and EV3E). We next assessed the expression of other factors relevant to DSB end resection and RAD51 loading by immunoblot. We observed no substantial impact of MAEA loss on levels of ATM, BRCA1, BRCA2, CtIP, DNA2, EXO1, or MRE11 (Fig. EV3F). Next, given the neurological presentation of DIADEM, we investigated resection and recombination markers in the neuronal-like neuroblastoma cell line SH-SY5Y. MAEA depletion in SH-SY5Y cells (Fig. EV4A) led to the same modest increase in BrdU and impaired RAD51 loading as observed in U2OS cells (Fig. EV4B–E). These data indicated that the HR deficiency conferred by MAEA loss is associated with an impaired RAD51 loading phenotype.
Figure EV4. RAD51 loading defects in MAEA-deficient SH-SY5Y cells.
(A) Immunoblot for MAEA depletion in polyclonal SH-SY5Y cells following CRISPR-Cas9 editing; n = 3 independent experiments. (B) Quantification and (C) representative images of BrdU in SH-SY5Y cells treated with DMSO (1 h) or camptothecin (1 μΜ, 1 h). (D) Quantification and (E) representative images of RAD51 foci in S-phase SH-SY5Y cells treated with DMSO or camptothecin. Bars in (B, D) represent median and interquartile range. P values were generated by performing a two-tailed Kruskal–Wallis test. γ is a measure of effect size. The data represent three independent experiments. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; exact P values can be found in Appendix Table S1. Scale bars = 10 μm. For (B, C), outliers were removed using ROUT analysis (Q = 1%). (F) Representative images of Fig. 5F. Source data are available online for this figure.
MAEA loss leads to exacerbated replication stress
Camptothecin and olaparib cause replication stress as well as seDSBs (Zellweger et al, 2015). In unperturbed conditions, compared to WT cells, MAEA KO cells were enriched in the S/G2 phases of the cell cycle (Fig. EV1D) and exhibited elevated ssDNA (Figs. 3B–E and EV3B–D). Since these phenotypes were suggestive of endogenous replication stress, and since MAEA loss also sensitized cells to the ATR inhibitor (ATRi) AZD6738 in our previous study (Awwad et al, 2025), we hypothesized that MAEA loss might sensitize cells to other replication stress-inducing agents. Thus, we performed clonogenic survival assays with the replication stress-inducing agents hydroxyurea (HU), aphidicolin, and AZD6738. In all cases, we observed hypersensitivity of MAEA KO cells to these genotoxins compared with WT cells (Fig. 4A–C).
Figure 4. MAEA KO cells are hypersensitive to replication stress.
(A–C) Clonogenic survival assays in WT and MAEA KO cells with HU (A), aphidicolin (B), and ATRi (C). (D, E) Quantification of chromatin-associated γH2AX and RPA signal in WT and MAEA KO cells upon HU (D) or ATRi (E) treatment for the indicated times. (F) Quantification of chromatin-associated γH2AX and RPA signal upon ATRi treatment in MAEA KO U2OS cells complemented with the indicated eGFP expression constructs. Representative images are shown in Fig. EV4F. (G) DNA fiber assay measuring replication fork progression in eGFP Only (MAEA−/−) and eGFP-MAEAWT cells following treatment with camptothecin. Clonogenic data (A–C) are from three independent experiments. Statistics were generated using an ordinary two-way ANOVA. Bars represent the mean ± SEM. DNA fiber data are the combined result of three independent experiments. P values were generated by performing a two-tailed Kruskal–Wallis test. γ is a measure of effect size. Bars represent the mean ± 95% CI. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; exact P values can be found in Appendix Table S1. Scatter plots represent two independent experiments. HU hydroxyurea, ATRi ATR inhibitor (AZD3768). Source data are available online for this figure.
These data suggested that MAEA is required for effective HR at damaged replication forks. We investigated this by treating MAEA KO and WT U2OS cells with 0.5 mM HU, which primarily induces RAD51-dependent replication fork reversal rather than DSBs (Zellweger et al, 2015). Thus, an increased γH2AX signal is likely the result of replication fork collapse. We measured the level of γH2AX in cells with replication fork stalling as marked by chromatin-bound RPA. This approach revealed that replicating cells lacking MAEA exhibit increased γH2AX accumulation in MAEA KO cells compared with WT cells (Fig. 4D). Moreover, MAEA KO cells exhibited increased γH2AX accumulation over time compared to WT cells upon ATR inhibition, especially at the later time point of 18 h (Fig. 4E). We used this time point to measure the accumulation of γH2AX in MAEA KO cells complemented with eGFP-MAEAWT, eGFP-MAEAE349K, eGFP-MAEAM396R, eGFP-MAEA3S, or eGFP-only. In accordance with results from the clonogenic survival assays using camptothecin and olaparib in these cell lines (Fig. 2C–F), we observed an increase in γH2AX levels in the variants and null cell lines compared with eGFP-MAEAWT cells following ATRi treatment (Figs. 4F and EV4). These data implied that the RING domain-dependent E3 ubiquitin ligase function of MAEA is important in managing replication stress and that clinical MAEA variants confer hypersensitivity to replication stress-inducing agents. Collectively, our findings indicated that MAEA/CTLH deficiency compromises cellular tolerance of seDSBs and replication stress.
MAEA protects and promotes DNA replication
To elucidate potential effects of MAEA loss on DNA replication, we used DNA fiber spreading assays (Nieminuszczy et al, 2016). We observed a severe replication fork progression defect in the presence of low-dose camptothecin in eGFP-only (MAEA KO) cells compared with eGFP-MAEAWT (Fig. 4G). This indicated that MAEA loss compromises the ability of cells to resolve replication-stalling TOP1-associated DNA lesions.
We next assessed replication fork dynamics in the absence of exogenous replication stress and observed that MAEA KO cells expressing eGFP-only, eGFP-MAEA3S, or two patient-associated variants, eGFP-MAEAE349K (P1 and P7) and eGFP-MAEAM396R (P4), exhibited significantly reduced replication fork progression associated with increased spontaneous replication fork stalling (Fig. 5A,B). These data indicated that the E3 ubiquitin ligase activity of the CTLH complex is required to maintain faithful DNA replication in unperturbed conditions.
Figure 5. MAEA loss impairs replication fork stability, restart, and protection.
(A, B) Quantification of replication tract lengths (A) and spontaneous replication fork stalling (B) in MAEA KO U2OS cells complemented with the indicated eGFP expression constructs. (C, D) Quantification of HU-induced replication fork stalling (C) and fork restart after HU wash-out (D) in MAEA KO U2OS cells complemented with the indicated eGFP expression constructs. (E) Quantification of replication fork degradation after HU treatment in MAEA KO U2OS cells complemented with the indicated eGFP expression constructs. (F) Quantification of replication fork degradation in primary fibroblasts from Patients 1, 2, and 4 versus a WT control fibroblast cell line following treatment with HU. The data were the combined result of three independent experiments. P values were generated by performing a two-tailed Kruskal–Wallis test on scatter plots and an ordinary one-way ANOVA on histograms. γ is a measure of effect size. Bars represent the mean ± 95% CI. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; exact P values can be found in Appendix Table S1. HU hydroxyurea, KO knockout. Source data are available online for this figure.
To assess whether the observed replication fork defects were further impacted by exogenous replication stress, we treated cells with short-term exposure to low millimolar doses of HU, inducing global and synchronous arrest of replication forks that can restart following HU removal (Zellweger et al, 2015; Bhat and Cortez, 2018; Liu et al, 2023). After conducting DNA fiber assays, we observed that MAEA KO cells complemented with eGFP-only or eGFP-MAEA3S exhibited increased fork stalling upon HU treatment and reduced efficiency of fork restart after HU wash-out compared with cells re-expressing eGFP-MAEAWT (Fig. 5C,D). This indicated that the E3 ubiquitin ligase function of MAEA is required to properly restart transiently stalled replication forks.
We further observed that while cells expressing eGFP-MAEAE349K exhibited comparable HU-induced replication fork stalling and restart efficiency to MAEA KO cells, eGFP-MAEAM396R cells exhibited partially reduced replication fork restart efficiency without any apparent increase in replication fork stalling (Fig. 5C,D). These observations indicated that while MAEAE349K is likely a null allele, MAEAM396R is a hypomorphic allele that has differential impacts on replication fork stability and restart. In summary, these data indicated that MAEA KO and variant cell lines struggle with replication fork progression and restart.
RAD51 protects replication forks from nucleolytic degradation during replication fork reversal and aids their remodeling and/or restart (Bhat and Cortez, 2018; Qiu et al, 2021). Therefore, we considered that increased fork degradation might explain inefficient fork restart in MAEA KO cells. Thus, we incubated the panel of MAEA KO cells complemented with MAEA variants with CldU and IdU for 20 min each before a 5 h treatment with 4 mM HU to inhibit further DNA replication. We found that MAEA loss or mutation resulted in a reduced IdU:CldU ratio, indicative of increased fork degradation (Fig. 5E). However, MAEA KO cells expressing eGFP-MAEAM396R displayed an intermediate replication fork degradation phenotype, consistent with our other findings assessing replication fork restart (Fig. 5C,D), suggesting that this mutation is hypomorphic.
Finally, we established immortalized skin fibroblasts from MAEA variant patients based on availability (P1, P2, and P4). Despite still retaining one WT MAEA allele, in DNA fiber assays, P1 (p.E349K) and P2 (splice-site mutation prior to the RING domain) cells exhibited significantly enhanced markers of fork degradation after exposure to high-dose HU compared with a non-isogenic WT control cell line. In contrast, cells from MAEA patient P4 (p.M396R) did not display a fork degradation phenotype (Fig. 5F). Given that our data modeling this mutation in MAEA KO cells indicated that this variant is hypomorphic on a null background (Fig. 5B–E), we surmise that in the presence of one WT MAEA allele, the dominant-negative impact of the mutant allele is tempered.
Discussion
We have discovered that defects in MAEA and other components of the CTLH ubiquitin E3 ligase complex impair DNA replication and HR, causing hypersensitivity to anti-cancer agents such as hydroxyurea, the PARP inhibitor olaparib, and camptothecin (a close analog of clinically-used TOP1 poisons). Furthermore, we have identified apparent loss-of-function MAEA variants in eight individuals with the nonsyndromic DD/ID that we have termed DIADEM (Developmental delay and Intellectual disability Associated with DEfects in MAEA). All eight DIADEM patients presented with developmental delay, intellectual disability, and delayed acquisition of speech. We also observed additional features, including brain abnormalities, reduced muscle tone and unsteady gait, immunodeficiency, and bone marrow failure with incomplete penetrance. Across the eight identified patients, six acquired different de novo variants with dominant effects, while the remaining two are siblings (P5a and P5b) who have the same homozygous variant, making it likely that this variant was inherited in a recessive manner (Tables EV2 and 3).
MAEA is a key subunit of the CTLH E3 ubiquitin ligase complex known to function in development (Goto and Shibuya, 2022; Briney et al, 2025). Our findings indicate that several MAEA variants likely cause DIADEM by compromising E3 ubiquitin ligase activity. Loss-of-function variants in another CTLH component (WDR26) cause SD syndrome, which shares some clinical features with DIADEM. However, there are notable differences, including the absence of seizures in five of the patients in our cohort. This suggests that DIADEM is distinct from SD syndrome. We speculate that variants in other CTLH components may yield overlapping but non-identical conditions due to their closely connected but non-identical functions.
Our data indicate that cells lacking MAEA are HR deficient, and that while they are proficient in DNA end resection, RAD51 loading onto ssDNA is impaired, which could explain the hypersensitivity of these cells towards agents that induce seDSBs. Various core HR factors, including RAD51, BRCA1, and BRCA2, are associated not only with DSB repair but also with cellular tolerance of DNA replication stress (Kolinjivadi et al, 2017). Likewise, MAEA promotes both effective HR and faithful DNA replication. Accordingly, we also found that, in addition to exhibiting increased DSBs and survival defects upon exposure to replication stress-inducing agents, MAEA-deficient cells experience more replication fork stalling under these conditions and less efficient fork restart after release from hydroxyurea.
We determined that the requirement for MAEA in HR and replication stress depends on its E3 ubiquitin ligase activity. In line with our in silico analysis of MAEA DIADEM variants, cell models of the patient variants E349K (P1/P7) and M396R (P4) phenocopied those cells expressing the 3S RING domain mutant, suggesting that DIADEM can be caused by loss of CTLH ubiquitin ligase activity. However, we note that immortalized fibroblasts from patient P4 did not exhibit detectable replication fork protection defects upon hydroxyurea treatment, in contrast to cells from patients P1 or P2. Indeed, even in isogenic U2OS cell lines, P4’s M396R variant consistently exhibited milder phenotypes in assays related to replication stress compared with WT MAEA, despite behaving similarly in viability assays under camptothecin treatment. We speculate that this variant, which is outside of the MAEA RING domain, may have some residual function. The range of variants and the large number of known CTLH substrates (Maitland et al, 2021, 2022) suggest that the etiology of DIADEM is complex and that its presentation could depend upon the nature of the MAEA variant, as well as the developmental stage of the individual.
While this manuscript was in preparation, another study reported MAEA-mediated polyubiquitylation and degradation of PARP1 in models of gastric cancer and colorectal cancer, with MAEA overexpression conferring cellular sensitivity to oxaliplatin (Feng et al, 2025). Since oxaliplatin induces DNA crosslinks that require HR for their repair (Semlow and Walter, 2021), we consider it unlikely that a role for MAEA in regulating PARP1 underlies the breadth of HR- and DNA replication-related findings described in our study. Moreover, the Feng et al study suggests that MAEA loss leads to veliparib (PARP inhibitor) resistance and that, conversely, overexpression generates sensitivity. This is inconsistent with our own findings that loss of MAEA and CTLH components sensitizes cells to PARP inhibition and may be attributable to the cell model used in the Feng et al study. A further study published while this manuscript was in revision reported findings that align well with our own conclusions: that MAEA loss compromises RAD51 loading at DNA damage sites and leads to hypersensitivity to replication stress- and seDSB-inducing agents. Mechanistically, Zeinali et al propose that MAEA polyubiquitylates KU80 to promote its removal from DNA ends (Zeinali et al, 2025). It will be clinically important to explore the extent to which this function may impact DIADEM patients.
In our study, MAEA-deficient cells exhibit phenotypes reminiscent of clinical HR deficiency (HRD) as observed in cancer cells. Impaired RAD51 foci formation is a well-established biomarker for HRD and PARPi efficacy in the clinic, making loss or deregulation of the CTLH complex potential prognostic biomarkers for PARPi treatments. Several CTLH components have been found in CRISPR screens as candidate mediators of PARP inhibition and replication stress (DeWeirdt et al, 2020; Benslimane et al, 2020; Tessari et al, 2020; Jamal et al, 2022), but until now, these phenotypes have remained unexplored. We note that loss of expression of CTLH components MAEA and YPEL5 have been reported in subsets of tumor types (e.g., breast and ovarian) for which PARPi therapies are approved (Jamal et al, 2022) which highlights the potential for CTLH components as prognostic biomarkers.
Unlike BRCA1 or BRCA2 deficiency, DIADEM does not currently appear to predispose to cancer. However, due to the young age of the patients in our cohort, the impact of MAEA variants on aging-associated diseases is unknown; long-term monitoring of these patients will be an important aspect of their care. Moreover, based on our findings, we caution that should a patient with DIADEM develop cancer, the use of chemotherapies that are highly effective in HRD cancers (platinum agents, olaparib, and derivatives of camptothecin such as irinotecan and topotecan) might lead to severe toxicity. These considerations were not the focus of our study, but might be relevant to patients with pathological variants in other CTLH complex members, including SD syndrome patients.
Methods
Reagents and tools table
| Reagent/resource | Reference or source | Identifier or catalog number |
|---|---|---|
| Experimental models | ||
| U2OS-Cas9 | This study/ATCC derivative | N/A |
| HAP1 | Horizon Discovery | C631 |
| 293FT | Thermo Fisher Scientific | R70007 |
| Primary dermal fibroblasts | This study | N/A |
| hTERT-immortalized fibroblasts | This study | N/A |
| SH-SY5Y | Gift from Kevin Brindle | N/A |
| Recombinant DNA | ||
| pKLV2-U6gRNA5(BbsI)-PGKpuro2ABFP-W | Addgene | #67974 |
| psPax2 | Addgene | #12260 |
| pMD2.G | Addgene | #12259 |
| pLV-hTERT-IRES-hygro | Addgene | #85140 |
| lentiCRISPR-v2 | Addgene | #52961 |
| Antibodies | ||
| GFP | Invitrogen | A11122 |
| LAMIN B1 | Abcam | ab16048 |
| MAEA | R&D | AF7288 |
| RMND5A | Novus | NBP1-92337 |
| RAD51 | Santa Cruz | sc-8349 |
| TOP1 | TopoGEN | TG2012 |
| VINCULIN | Abcam | ab219649 |
| EXO1 | Proteintech Europe Ltd | 16253-1-AP |
| CtIP | Fisher Scientific UK Ltd | MA1-23304 |
| ATM | Abcam | ab32420 |
| BRCA2 | Calbiochem/Merck Biosciences Ltd | OP95 |
| BRCA1 | MilliPoreSigma | 07-434 |
| DNA2 | Proteintech Europe Ltd | 18727-1-AP |
| β-ACTIN | Cell Signaling Technology | 4970S |
| β-ACTIN | Abcam | ab8226 |
| γΗ2ΑΧ (S139) | Cell Signalling Technology | 2577 |
| BrdU | GE Healthcare | RPN20AB |
| CENPF | Abcam | ab223847 |
| PCNA | Abcam | ab18197 |
| γH2AX (S139) | Millipore | 05-636 |
| RAD51 | Abcam | ab88572 |
| RPA | Lab Vision | MS-691-P1 |
| Goat Anti-Rabbit Alexa Fluor 488 | Invitrogen | A11034 |
| Goat Anti-Mouse Alexa Fluor 488 | Invitrogen | A11029 |
| Goat Anti-Rabbit Alexa Fluor 594 | Invitrogen | A11037 |
| Goat Anti-Mouse Alexa Fluor 594 | Invitrogen | A11032 |
| Goat Anti-Rabbit Alexa Fluor 647 | Invitrogen | A21245 |
| Goat Anti-Mouse Alexa Fluor 647 | Cambridge Bioscience | CUK0357 C04-64 |
| Rabbit Anti-Mouse | Dako Ltd | P0260 |
| Goat Anti-Mouse | Millipore | AP124P |
| Goat Anti-Rabbit | Perbio | 31462 |
| Rabbit Anti-Sheep | Dako Ltd | P0163 |
| Rabbit Anti-Goat | Dako Ltd | P0449 |
| IRDye 800CW Donkey Anti-Mouse | LI-COR BIOSCIENCES UK Ltd | 926-32212 |
| IRDye 680LT Goat Anti-Rabbit | LI-COR BIOSCIENCES UK Ltd | 926-68021 |
| Oligonucleotides and other sequence-based reagents | ||
| sgMAEA_1_F (Cloning Guide) | This study | |
| sgMAEA_1_R (Cloning Guide) | This study | |
| MAEA_1_F (Primer) | This study | |
| MAEA_1_R (Primer) | This study | |
| Chemicals, enzymes and other reagents | ||
| PVDF membrane | Amersham | GE10600023 |
| Nitrocellulose membrane | Amersham | GE10600002 |
| Dulbecco’s Modified Eagle Medium | Thermo Fisher Scientific | 11965092 |
| DMEM/F-12 medium | Thermo Fisher Scientific | 11320033 |
| Iscove’s Modified Dulbecco’s Medium | Thermo Fisher Scientific | 12440053 |
| Penicillin-Streptomycin-Glutamine | Thermo Fisher Scientific | 10378016 |
| Fetal Bovine Serum (FBS) | Thermo Fisher Scientific | 10500064 |
| Blasticidin (BSD) | Thermo Fisher Scientific | A1113903 |
| Puromycin dihydrochloride | Merck/Sigma-Aldrich | P8833 |
| Hygromycin B | Thermo Fisher Scientific | 10687010 |
| Trypsin-EDTA (0.25%) | Gibco | 25200056 |
| Crystal Violet | Merck | C0775 |
| Camptothecin | Merck | C9911 |
| Olaparib | Selleck Chemicals | S1060 |
| Etoposide | Merck | E1383 |
| HEPES | Merck | H3375 |
| Triton X-100 | Merck | X-100 |
| Sucrose | Merck | S0389 |
| Paraformaldehyde (PFA) | Electron Microscopy Sciences | 15710 |
| Tween 20 | Merck | P1379 |
| Bovine Serum Albumin (BSA) | Merck | A9647 |
| DAPI | Thermo Fisher Scientific | D1306 |
| CldU (5-chloro-2′-deoxyuridine) | Merck | C6891 |
| IdU (5-iodo-2′-deoxyuridine) | Merck | I7125 |
| Hydroxyurea (HU) | Merck | H8627 |
| Software | ||
| DrugZ | Colic et al, 2019 | https://github.com/hart-lab/drugz |
| GraphPad Prism v10.01 | GraphPad Software | RRID:SCR_002798 |
| Harmony v5.1 | PerkinElmer | RRID:SCR_023543 |
| FlowJo | BD Biosciences | RRID:SCR_008520 |
| FIJI (ImageJ) | N/A | RRID:SCR_002285 |
| PyMOL v3.0 | Schrödinger, LLC | RRID:SCR_000305 |
| Perfolizer | Akinshin (GitHub, 2023) | https://github.com/AndreyAkinshin/perfolizer |
| Other | ||
| ChemiDoc MP Imaging System | Bio-Rad | 12003154 |
| Opera Phenix Plus High-Content Microscope | PerkinElmer | RRID:SCR_021100 |
| Beckman CytoFLEX LX | Beckman Coulter | N/A |
| Thermo Fisher Attune NxT | Thermo Fisher Scientific | A24858 |
| X-ray film processor | Generic | N/A |
| 24-well sensoplate (IF) | Greiner BIO-ONE | 662892 |
Study approval
Written informed consent to publish clinical information of the affected individuals was obtained from the families prior to their involvement in this study, in accordance with local IRB-approved protocols. Further approval for this research was obtained from the West Midlands, Coventry, and Warwickshire Research Ethics Committee (Coventry, United Kingdom; REC: 20/WM/0098). All experiments conformed to the principles set out in the WMA Declaration of Helsinki and the Department of Health and Human Services Belmont Report.
CRISPR-Cas9 screen
A custom library of CRISPR guides (Table EV1) targeting 886 E3 ligases and related proteins was cloned into pKLV2-U6gRNA5(BbsI)-PGKpuro2ABFP-W (Addgene #67974), packaged into lentiviral particles using second-generation plasmids psPax2 (Addgene #12260) and pMD2.G (Addgene #12259), and titered. Three independent populations of WT U2OS-Cas9 cells were transduced at a multiplicity of infection of 0.25 at 500X representation and selected using puromycin (2 μg/mL) for 14 days. Cells were subjected to IC50 camptothecin (12 nM, 9 days). Cells were allowed to recover for three days with no treatment. DNA from pre- and post-treatment pooled cell populations were extracted and PCR amplified with relevant next-generation sequencing barcodes. Sequencing results were analyzed by using DrugZ (Colic et al, 2019).
Cell culture and generation of cell lines
U2OS Cas9 cells were transfected with guides (IDT) targeting MAEA, designed using Guide Picker and CRISPOR (Table EV4) (Hough et al, 2017; Haeussler et al, 2016). After transfection with RNAiMAX (Thermo Fisher Scientific), cells were grown as single colonies. Genomic DNA extraction, PCR, Sanger sequencing, and TIDE analysis (Brinkman et al, 2014) were used to identify KO clones. Dermal primary fibroblasts were grown from skin-punch biopsies and maintained in DMEM supplemented with 20% FCS, 5% L-glutamine, and 5% penicillin-streptomycin antibiotics (Merck). Primary fibroblasts were immortalized by lentiviral transduction with hTERT that was generated by transfecting 293FT cells (Thermo Fisher Scientific) with pLV-hTERT-IRES-hygro (Addgene #85140). Cells were selected with hygromycin (Thermo Fisher Scientific) at 70 μg/mL. U2OS cells were grown in DMEM plus 1X PSQ (Thermo #10378016) and 10% FBS. SH-SY5Y cells were grown in DMEM/F-12 medium plus 1X PSQ and 10% FBS. HAP1 cells were grown in IMDM with 1X PSQ and 10% FBS. All cell lines were validated mycoplasma-free and have not undergone recent STR authentication.
hTERT fibroblast immortalization
Dermal primary fibroblasts were grown from skin-punch biopsies and maintained in DMEM (Thermo Fisher Scientific) supplemented with 20% FCS, 5% L-glutamine and 5% penicillin-streptomycin. Primary fibroblasts were immortalized with a lentivirus expressing human telomerase reverse transcriptase (hTERT) that was generated by transfecting 293FT cells (Thermo Fisher Scientific) with the plasmids: pLV-hTERT-IRES-hygro (Addgene #85140), psPax2 (Addgene #12260) and pMD2.G (Addgene #12259). Selection was performed using hygromycin (Thermo Fisher Scientific) at 70 μg/mL.
Clonogenic survival assays
6-well plates were seeded with 500 U2OS or 250 HAP1 cells in technical triplicate. After 8 h or overnight of attaching/growth following initial seeding, all medium was replaced with medium containing the appropriate drug dilution. After 10–14 days, cells were washed with PBS and stained with crystal violet. Colonies were analyzed after scanning plates and using FIJI. DNA-damaging agents: olaparib (0.5–2 μM U2OS), etoposide (25–100 nM U2OS), camptothecin (2.5–7 nM U2OS). Data shown represent a minimum of three independent experiments. Each experiment consists of the averaged values from three technical replicates. To analyze seeding density, 250, 500, 750, and 1000 U2OS cells were seeded per well and analyzed as above.
Immunoblotting
Following SDS-PAGE and wet transfer, PVDF (Amersham Hybond P0.45) or nitrocellulose (Amersham Protran 0.45) membranes were blocked in 5% BSA/TBST for 1 h at room temperature on a rocker. Antibodies were diluted in 1% BSA/TBST as detailed in Table EV5. Membranes were incubated with the primary antibody, washed three times, and incubated with the secondary antibody. Signals were detected using chemiluminescence, an X-ray film processor, or using a ChemiDoc MP Imaging System (RRID:SCR_019037, Bio-Rad).
Immunofluorescence
SH-SY5Y were transduced with lentiCRISPR-v2 (Addgene #52961) containing sgMAEA1.0 (Table EV2) and selected in puromycin (2 μg/ml). Cells were seeded in 24-well glass-bottom plates with or without BrdU (Merck, B9285). After 24 h (U2OS) and after 48 h (SH-SY5Y), cells were treated with CPT (1 μM, 1 h) or DMSO. Cells were washed and pre-extracted with ice-cold CSK (25 mM HEPES pH 7.4, 50 mM NaCl, 3 mM MgCl2, 0.5% Triton X-100, and 300 mM sucrose) on ice (3 min) prior to fixation in 2% PFA (10 min). Cells were washed with PBS-0.2% Tween 20 (PBST), blocked in 5% BSA and stained with primary antibodies in 1% BSA. Antibody details can be found in Table EV6. After primary antibody incubation, wells were washed three times with PBST and then incubated with secondary antibody, 2 μg/mL DAPI. Images were acquired using an Opera Phenix Plus High-Content microscope and analyzed with Harmony v.5.1. Cells were stratified by cell cycle markers (PCNA/CENPF or γH2AX) to identify S-phase nuclei.
Traffic light reporter (TLR) assay
TLR assays were conducted as described previously (11). Cells were counted on either a Beckman CytoFLEX LX or Thermo Fisher Attune NxT (consistent within the set of replicates). Data were then analyzed on FlowJo. Gates were set with an internal negative control population expressing neither BFP nor IFP. Background cell counts were subtracted from all totals. Data represent at least three independent experiments. siLuciferase, a negative control, and siCtIP, targeting a known HR factor, were performed 6 times. siRNA details can be found in Table EV7.
Statistical tests
The unpaired t-test, two-tailed Kruskal–Wallis test, and ordinary one-way analysis of variance (ANOVA) tests were generated using GraphPad Prism v.10.01. Effect size (γ) using the C# GitHub repository Perfolizer by Andrey Akinshin (https://github.com/AndreyAkinshin/perfolizer) (Akinshin, 2023). γ is similar to a non-parametric Cohen’s d and is a measure of the pooled median absolute deviations that fit between the median of group X (e.g., MAEA WT) and the median of group Y (e.g., MAEA KO). In general, the absolute value of γ can be evaluated according to the guidelines 0.00–0.10 (Negligible), 0.10–0.20 (Weak), 0.20–0.40 (Moderate), 0.40–0.60 (Moderately Strong), 0.60–0.80 (Strong), and 0.80 < (Very Strong).
DNA fiber assay
Cells were pulse-labeled with 25 μM CldU for 20 min, washed with PBS, pulse-labeled for 20 min with 250 μM IdU, and then harvested. For replication restart experiments, cells were labeled with CldU for 20 min, washed in warm PBS, and incubated in medium containing 2 mM HU for 2 h. Cells were washed again in warm PBS and then incubated with 250 µM IdU for 20 min. Replication in the presence of replication stress was assayed by first pulse labeling cells with 25 µM CldU, which was washed off with medium containing 250 µM IdU and 100 nM CPT. Cells were then pulse labeled with 250 µM IdU and 100 nM CPT, for untreated cells CPT was omitted, at the end of the pulse labeling the cells were harvested as previously described. For fork protection experiments, cells were labeled with 25 μM CldU for 20 min, washed with CldU-containing medium, labeled with 250 μM IdU for 20 min, washed with warmed medium containing 4 mM HU, and incubated in medium containing HU for 5 h. DNA fiber analysis was carried out as previously described (Higgs et al, 2015).
Structural analysis
The potential impact of the MAEA mutations was assessed by inspection of the molecular context of each variant residue in the MAEA/RMND5A/UBE2H complex crystal structure (PDBID: 8PJN (Chrustowicz et al, 2024)) using PyMOL (PyMOL molecular graphics system, V 3.0, Schrodinger LLC). Missing side chains were modeled manually by selecting rotamers with the lowest clash score.
Experimental design
No blinding was done for the purposes of these studies.
Supplementary information
Acknowledgements
We thank the patients and parents for taking part in this study. We thank M. Agudo for help with the CRISPR screen. We acknowledge K. Harnish of the Gurdon Institute for performing next-generation sequencing on our CRISPR-Cas9 screening samples and the Gurdon and CRUK Cambridge Institute core facilities for assistance and support. Research in the SPJ laboratory is supported by Cancer Research UK (CRUK) Discovery Award DRCPGM\100005, CRUK Cambridge Institute core grant SEBINT-2024/100003 and ERC Synergy Award 855741 (DDREAMM). SHH was supported by Wellcome Investigator Award 206388/Z/17/Z and CRUK Discovery Award DRCPGM\100005; SWA by a Mark Foundation for Cancer Research (MFCR) ASPIRE II Award; is a recipient of the Women’s Postdoctoral Career Development Award in Science from the Weizmann Institute of Science; and was a recipient of an Outstanding Postdoctoral Women Fellowship from the Israeli Council for Higher Education; SL by ERC Synergy Award 855741; JCT by Wellcome Investigator Award 206388/Z/17/Z and ERC Synergy Award 855741; CJC, GZV, RB, and YG by CRUK Discovery Award DRCPGM\100005; ASB by CRUK RadNET Cambridge C17918/A28870 and Wellcome Early Career Award 227014/Z/23/Z; and OL by CRUK Cambridge Institute core grants C9545/A29580 and SEBINT-2024/100003. The SPJ laboratory was also supported by CRUK Program grant C6/A18796 and core funding grants C6946/A24843 and WT203144 to the Gurdon Institute. GSS and SSJ are funded by a CRUK Programme grant (C17183/A23303) and an MRC project grant (UKRI577). CJC is supported by a grant from the Deutsche Forschungsgemeinschaft (DFG; KU 563/18-1). Research in the Beli lab is funded by the DFG project-ID 393547839—SFB 1361. This research was made possible through access to data in the National Genomic Research Library, which is managed by Genomics England Limited (a wholly owned company of the Department of Health and Social Care). The National Genomic Research Library holds data provided by patients and collected by the NHS as part of their care, and data collected as part of their participation in research. The National Genomic Research Library is funded by the National Institute for Health Research and NHS England. The Wellcome Trust, Cancer Research UK and the Medical Research Council have also funded research infrastructure. For the purpose of open access, we have applied a Creative Commons Attribution (CC BY) public copyright licence to any Author Accepted Manuscript version arising from this submission.
Expanded view
Author contributions
Søren H Hough: Conceptualization; Formal analysis; Investigation; Methodology; Writing—original draft; Writing—review and editing. Satpal S Jhujh: Conceptualization; Formal analysis; Investigation; Visualization; Writing—review and editing. Samah W Awwad: Formal analysis; Investigation; Visualization; Writing—review and editing. Oliver E Lewis: Formal analysis; Investigation; Visualization; Writing—review and editing. Simon Lam: Resources; Software; Formal analysis; Visualization. John C Thomas: Resources; Software; Formal analysis; Visualization. Thorsten Mosler: Investigation; Writing—review and editing. Aldo Bader: Conceptualization; Formal analysis; Visualization. Lauren Bartik: Conceptualization; Investigation; Project administration. Shane McKee: Formal analysis; Investigation; Project administration. Shivarajan Amudhavalli: Formal analysis; Investigation. Estelle Colin: Investigation. Nadirah Damseh: Investigation. Emma Clement: Investigation. Pilar Cacheiro: Investigation. Anirban Majumdar: Investigation. Damian Smedley: Investigation; Project administration. Joël Fluss: Investigation. Rosalinda Gianinni: Investigation; Writing—review and editing. Isabelle Thiffault: Project administration. Guido Zagnoli Vieira: Conceptualization; Supervision; Investigation. Rimma Belotserkovskaya: Conceptualization; Supervision; Writing—review and editing. Stephen J Smerdon: Formal analysis. Petra Beli: Supervision. Yaron Galanty: Conceptualization; Supervision; Methodology; Project administration. Christopher Carnie: Conceptualization; Formal analysis; Supervision; Validation; Investigation; Visualization; Writing—original draft; Project administration; Writing—review and editing. Grant S Stewart: Conceptualization; Formal analysis; Supervision; Funding acquisition; Project administration; Writing—review and editing. Stephen P Jackson: Supervision; Funding acquisition; Project administration; Writing—review and editing.
Source data underlying figure panels in this paper may have individual authorship assigned. Where available, figure panel/source data authorship is listed in the following database record: biostudies:S-SCDT-10_1038-S44321-025-00352-x.
Data availability
This study includes no data deposited in external repositories.
The source data of this paper are collected in the following database record: biostudies:S-SCDT-10_1038-S44321-025-00352-x.
Disclosure and competing interests statement
SPJ and YG work part-time at Insmed Innovation UK Ltd. SPJ is a founding partner of Ahren Innovation Capital LLP, a co-founder of Mission Therapeutics Ltd, and is a consultant and shareholder of Genome Therapeutics Ltd. The authors declare no other competing interests.
Footnotes
These authors contributed equally: Søren H Hough, Satpal S Jhujh.
These authors contributed equally: Samah W Awwad, Oliver E Lewis.
Contributor Information
Yaron Galanty, Email: yaron.galanty@cruk.cam.ac.uk.
Christopher J Carnie, Email: christopherjames.carnie@med.uni-heidelberg.de.
Grant S Stewart, Email: g.s.stewart@bham.ac.uk.
Stephen P Jackson, Email: steve.jackson@cruk.cam.ac.uk.
Supplementary information
Expanded view data, supplementary information, appendices are available for this paper at 10.1038/s44321-025-00352-x.
References
- Akinshin A (2023) AndreyAkinshin/perfolizer
- Awwad SW, Doyle C, Coulthard J, Bader AS, Gueorguieva N, Lam S, Gupta V, Belotserkovskaya R, Tran T-A, Balasubramanian S et al (2025) KLF5 loss sensitizes cells to ATR inhibition and is synthetic lethal with ARID1A deficiency. Nat Commun 16:480 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Awwad SW, Serrano-Benitez A, Thomas JC, Gupta V, Jackson SP (2023) Revolutionizing DNA repair research and cancer therapy with CRISPR–Cas screens. Nat Rev Mol Cell Biol 24:477–494 [DOI] [PubMed]
- Benslimane Y, Bertomeu T, Coulombe-Huntington J, McQuaid M, Sánchez-Osuna M, Papadopoli D, Avizonis D, Russo MDST, Huard C, Topisirovic I et al (2020) Genome-wide screens reveal that resveratrol induces replicative stress in human cells. Mol Cell 79:846–856.e8 [DOI] [PubMed] [Google Scholar]
- Bhat KP, Cortez D (2018) RPA and RAD51: fork reversal, fork protection, and genome stability. Nat Struct Mol Biol 25:446–453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Braun B, Pfirrmann T, Menssen R, Hofmann K, Scheel H, Wolf DH (2011) Gid9, a second RING finger protein contributes to the ubiquitin ligase activity of the Gid complex required for catabolite degradation. FEBS Lett 585:3856–3861 [DOI] [PubMed] [Google Scholar]
- Briney CA, Henriksen JC, Lin C, Jones LA, Benner L, Rains AB, Gutierrez R, Gafken PR, Rissland OS (2025) Muskelin is a substrate adaptor of the highly regulated Drosophila embryonic CTLH E3 ligase. EMBO Rep 26:1647–1669 [DOI] [PMC free article] [PubMed]
- Brinkman EK, Chen T, Amendola M, van Steensel B (2014) Easy quantitative assessment of genome editing by sequence trace decomposition. Nucleic Acids Res 42:e168 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brown JS, Jackson SP (2015) Ubiquitylation, neddylation and the DNA damage response. Open Biol 5:150018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cacheiro P, Muñoz-Fuentes V, Murray SA, Dickinson ME, Bucan M, Nutter LMJ, Peterson KA, Haselimashhadi H, Flenniken AM, Morgan H et al (2020) Human and mouse essentiality screens as a resource for disease gene discovery. Nat Commun 11:655 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caldecott KW (2024) Causes and consequences of DNA single-strand breaks. Trends Biochem Sci 49:68–78 [DOI] [PubMed] [Google Scholar]
- Certo MT, Ryu BY, Annis JE, Garibov M, Jarjour J, Rawlings DJ, Scharenberg AM (2011) Tracking genome engineering outcome at individual DNA breakpoints. Nat Methods 8:671–676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chang KT, Guo J, Di Ronza A, Sardiello M (2018) Aminode: identification of evolutionary constraints in the human proteome. Sci Rep 8:1357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chaudhuri AR, Hashimoto Y, Herrador R, Neelsen KJ, Fachinetti D, Bermejo R, Cocito A, Costanzo V, Lopes M (2012) Topoisomerase I poisoning results in PARP-mediated replication fork reversal. Nat Struct Mol Biol 19:417–423 [DOI] [PubMed] [Google Scholar]
- Chauhan AS, Jhujh SS, Stewart GS (2024) E3 ligases: a ubiquitous link between DNA repair, DNA replication and human disease. Biochem J 481:923–944 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng SWS, Luk H-M, Lo FMI (2022) A further case of Skraban-Deardorff syndrome and review of the literature. Clin Dysmorphol 31:79–83 [DOI] [PubMed] [Google Scholar]
- Chrustowicz J, Sherpa D, Li J, Langlois CR, Papadopoulou EC, Vu DT, Hehl LA, Karayel Ö, Beier V, Von Gronau S et al (2023) Multisite phosphorylation dictates selective E2-E3 pairing as revealed by Ubc8/UBE2H-GID/CTLH assemblies. Mol Cell 84:293–308.e14 [DOI] [PMC free article] [PubMed]
- Chrustowicz J, Sherpa D, Li J, Langlois CR, Papadopoulou EC, Vu DT, Hehl LA, Karayel Ö, Beier V, von Gronau S et al (2024) Multisite phosphorylation dictates selective E2-E3 pairing as revealed by Ubc8/UBE2H-GID/CTLH assemblies. Mol Cell 84:293–308.e14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Colic M, Wang G, Zimmermann M, Mascall K, McLaughlin M, Bertolet L, Lenoir WF, Moffat J, Angers S, Durocher D et al (2019) Identifying chemogenetic interactions from CRISPR screens with drugZ. Genome Med 11:52 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cospain A, Schaefer E, Faoucher M, Dubourg C, Carré W, Bizaoui V, Assoumani J, Van Maldergem L, Piton A, Gérard B et al (2021) Skraban-Deardorff syndrome: six new cases of WDR26-related disease and expansion of the clinical phenotype. Clin Genet 99:732–739 [DOI] [PubMed] [Google Scholar]
- DeWeirdt PC, Sangree AK, Hanna RE, Sanson KR, Hegde M, Strand C, Persky NS, Doench JG (2020) Genetic screens in isogenic mammalian cell lines without single cell cloning. Nat Commun 11:752 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Domchek SM, Tang J, Stopfer J, Lilli DR, Hamel N, Tischkowitz M, Monteiro ANA, Messick TE, Powers J, Yonker A et al (2013) Biallelic deleterious BRCA1 mutations in a woman with early-onset ovarian cancer. Cancer Discov 3:399–405 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Feng Y, Zou X, Huang J, Huang Z, Kuang G, Jiang Y (2025) The E3 ubiquitin ligase MAEA promotes macrophage phagocytosis and inhibits gastrointestinal cancer progression by mediating PARP1 ubiquitination and degradation. Int J Biol Sci 21:1784–1800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Firth HV, Richards SM, Bevan AP, Clayton S, Corpas M, Rajan D, Vooren SV, Moreau Y, Pettett RM, Carter NP (2009) DECIPHER: database of chromosomal imbalance and phenotype in humans using Ensembl resources. Am J Hum Genet 84:524–533 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goh CG, Bader AS, Tran T-A, Belotserkovskaya R, D’Alessandro G, Jackson SP (2025) TDP1 splice-site mutation causes HAP1 cell hypersensitivity to topoisomerase I inhibition. Nucleic Acids Res 53:gkae1163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goto T, Shibuya H (2022) maea affects head formation through ß-catenin degradation during early Xenopus laevis development. Dev Growth Differ 65:29–36 [DOI] [PubMed]
- Gross A, Müller J, Chrustowicz J, Strasser A, Gottemukkala KV, Sherpa D, Schulman BA, Murray PJ, Alpi AF (2024) Skraban-Deardorff intellectual disability syndrome-associated mutations in WDR26 impair CTLH E3 complex assembly. FEBS Lett 598:978–994 [DOI] [PMC free article] [PubMed]
- Haeussler M, Schönig K, Eckert H, Eschstruth A, Mianné J, Renaud J-B, Schneider-Maunoury S, Shkumatava A, Teboul L, Kent J et al (2016) Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. Genome Biol 17:148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Higgs MR, Reynolds JJ, Winczura A, Blackford AN, Borel V, Miller ES, Zlatanou A, Nieminuszczy J, Ryan EL, Davies NJ et al (2015) BOD1L is required to suppress deleterious resection of stressed replication forks. Mol Cell 59:462–477 [DOI] [PubMed] [Google Scholar]
- Hough SH, Kancleris K, Brody L, Humphryes-Kirilov N, Wolanski J, Dunaway K, Ajetunmobi A, Dillard V (2017) Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments. BMC Bioinformatics 18:167 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hu J, Xu M, Zhu X, Zhang Y (2022) Two novel variants of WDR26 in Chinese patients with intellectual disability. Genes 13:813 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huertas P, Jackson SP (2009) Human CtIP mediates cell cycle control of DNA end resection and double strand break repair. J Biol Chem 284:9558–9565 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Innella G, Scarano E, Palumbo P, Carella M, Severi G (2023) New clinical features in an adult patient with Skraban-Deardorff syndrome. Am J Med Genet A 191:306–309 [DOI] [PubMed] [Google Scholar]
- Jackson SP, Bartek J (2009) The DNA-damage response in human biology and disease. Nature 461:1071–1078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jackson SP, Durocher D (2013) Regulation of DNA damage responses by ubiquitin and SUMO. Mol Cell 49:795–807 [DOI] [PubMed] [Google Scholar]
- Jamal K, Galbiati A, Armenia J, Illuzzi G, Hall J, Bentouati S, Barrell D, Ahdesmäki M, for the Functional Genomics Centre Group, O’Connor MJ et al (2022) Drug–gene interaction screens coupled to tumor data analyses identify the most clinically relevant cancer vulnerabilities driving sensitivity to PARP inhibition. Cancer Res Commun 2:1244–1254 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaiyrzhanov R, Mohammed SEM, Maroofian R, Husain RA, Catania A, Torraco A, Alahmad A, Dutra-Clarke M, Grønborg S, Sudarsanam A et al (2022) Bi-allelic LETM1 variants perturb mitochondrial ion homeostasis leading to a clinical spectrum with predominant nervous system involvement. Am J Hum Genet 109:1692–1712 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knies K, Inano S, Ramírez MJ, Ishiai M, Surrallés J, Takata M, Schindler D (2017) Biallelic mutations in the ubiquitin ligase RFWD3 cause Fanconi anemia. J Clin Invest 127:3013–3027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kolinjivadi AM, Sannino V, de Antoni A, Técher H, Baldi G, Costanzo V (2017) Moonlighting at replication forks - a new life for homologous recombination proteins BRCA1, BRCA2 and RAD51. FEBS Lett 591:1083–1100 [DOI] [PubMed] [Google Scholar]
- Lampert F, Stafa D, Goga A, Soste MV, Gilberto S, Olieric N, Picotti P, Stoffel M, Peter M (2018) The multi-subunit GID/CTLH E3 ubiquitin ligase promotes cell proliferation and targets the transcription factor Hbp1 for degradation. eLife 7:e35528 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu W, Saito Y, Jackson J, Bhowmick R, Kanemaki MT, Vindigni A, Cortez D (2023) RAD51 bypasses the CMG helicase to promote replication fork reversal. Science 380:382–387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maitland MER, Kuljanin M, Wang X, Lajoie GA, Schild-Poulter C (2021) Proteomic analysis of ubiquitination substrates reveals a CTLH E3 ligase complex-dependent regulation of glycolysis. FASEB J 35:e21825 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maitland MER, Lajoie GA, Shaw GS, Schild-Poulter C (2022) Structural and functional insights into GID/CTLH E3 ligase complexes. Int J Mol Sci 23:5863 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Menssen R, Schweiggert J, Schreiner J, Kušević D, Reuther J, Braun B, Wolf DH (2012) Exploring the topology of the Gid complex, the E3 ubiquitin ligase involved in catabolite-induced degradation of gluconeogenic enzymes. J Biol Chem 287:25602–25614 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Naipal KAT, Verkaik NS, Ameziane N, Van Deurzen CHM, Ter Brugge P, Meijers M, Sieuwerts AM, Martens JW, O’Connor MJ, Vrieling H et al (2014) Functional ex vivo assay to select homologous recombination–deficient breast tumors for PARP inhibitor treatment. Clin Cancer Res 20:4816–4826 [DOI] [PubMed] [Google Scholar]
- Nieminuszczy J, Schwab RA, Niedzwiedz W (2016) The DNA fibre technique – tracking helicases at work. Methods 108:92–98 [DOI] [PubMed] [Google Scholar]
- Onea G, Ghahramani A, Wang X, Hassan HM, Bérubé NG, Schild-Poulter C (2025) WDR26 depletion alters chromatin accessibility and gene expression profiles in mammalian cells. Genomics 117:111001 [DOI] [PubMed] [Google Scholar]
- Pavinato L, Trajkova S, Grosso E, Giorgio E, Bruselles A, Radio FC, Pippucci T, Dimartino P, Tartaglia M, Petlichkovski A et al (2021) Expanding the clinical phenotype of the ultra-rare Skraban-Deardorff syndrome: two novel individuals with WDR26 loss-of-function variants and a literature review. Am J Med Genet A 185:1712–1720 [DOI] [PubMed] [Google Scholar]
- Polo SE, Jackson SP (2011) Dynamics of DNA damage response proteins at DNA breaks: a focus on protein modifications. Genes Dev 25:409–433 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qing X, Zhang G, Wang Z (2023) DNA damage response in neurodevelopment and neuromaintenance. FEBS J 290:3300–3310 [DOI] [PubMed] [Google Scholar]
- Qiu S, Jiang G, Cao L, Huang J (2021) Replication fork reversal and protection. Front Cell Dev Biol 9:670392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Santt O, Pfirrmann T, Braun B, Juretschke J, Kimmig P, Scheel H, Hofmann K, Thumm M, Wolf DH (2008) The yeast GID complex, a novel ubiquitin ligase (E3) involved in the regulation of carbohydrate metabolism. Mol Biol Cell 19:3323–3333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sartori AA, Lukas C, Coates J, Mistrik M, Fu S, Bartek J, Baer R, Lukas J, Jackson SP (2007) Human CtIP promotes DNA end resection. Nature 450:509–514 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sawyer SL, Tian L, Kähkönen M, Schwartzentruber J, Kircher M, University of Washington Centre for Mendelian Genomics, FORGE Canada Consortium, Majewski J, Dyment DA, Innes AM et al (2015) Biallelic mutations in BRCA1 cause a new Fanconi anemia subtype. Cancer Discov 5:135–142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schmidt CK, Galanty Y, Sczaniecka-Clift M, Coates J, Jhujh S, Demir M, Cornwell M, Beli P, Jackson SP (2015) Systematic E2 screening reveals a UBE2D–RNF138–CtIP axis promoting DNA repair. Nat Cell Biol 17:1458–1470 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Semlow DR, Walter JC (2021) Mechanisms of vertebrate DNA interstrand cross-link repair. Annu Rev Biochem 90:107–135 [DOI] [PubMed] [Google Scholar]
- Skraban CM, Wells CF, Markose P, Cho MT, Nesbitt AI, Au PYB, Begtrup A, Bernat JA, Bird LM, Cao K et al (2017) WDR26 haploinsufficiency causes a recognizable syndrome of intellectual disability, seizures, abnormal gait, and distinctive facial features. Am J Hum Genet 101:139–148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sobreira N, Schiettecatte F, Valle D, Hamosh A (2015) GeneMatcher: a matching tool for connecting investigators with an interest in the same gene. Hum Mutat 36:928–930 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stewart GS, Panier S, Townsend K, Al-Hakim AK, Kolas NK, Miller ES, Nakada S, Ylanko J, Olivarius S, Mendez M et al (2009) The RIDDLE syndrome protein mediates a ubiquitin-dependent signaling cascade at sites of DNA damage. Cell 136:420–434 [DOI] [PubMed] [Google Scholar]
- Stewart GS, Stankovic T, Byrd PJ, Wechsler T, Miller ES, Huissoon A, Drayson MT, West SC, Elledge SJ, Taylor AMR (2007) RIDDLE immunodeficiency syndrome is linked to defects in 53BP1-mediated DNA damage signaling. Proc Natl Acad Sci USA 104:16910–16915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tessari A, Soliman SHA, Orlacchio A, Capece M, Amann JM, Visone R, Carbone DP, Palmieri D, Coppola V (2020) RANBP9 as potential therapeutic target in non-small cell lung cancer. J Cancer Metastasis Treat 6:18. 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Turnbull C, Scott RH, Thomas E, Jones L, Murugaesu N, Pretty FB, Halai D, Baple E, Craig C, Hamblin A et al (2018) The 100 000 Genomes Project: bringing whole genome sequencing to the NHS. BMJ 361:k1687 [DOI] [PubMed]
- Zeinali E, Mashayekhi F, Farraj RA, Hasanni T, Caron M-C, Coulombe Y, Fitieh A, Glover JNM, Masson J-Y, Ismail IH (2025) Pathogenic variants in MAEA disrupt DNA replication fork stability and are associated with developmental abnormalities in humans. Sci Adv 11:eadv0381 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zellweger R, Dalcher D, Mutreja K, Berti M, Schmid JA, Herrador R, Vindigni A, Lopes M (2015) Rad51-mediated replication fork reversal is a global response to genotoxic treatments in human cells. J Cell Biol 208:563–579 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
This study includes no data deposited in external repositories.
The source data of this paper are collected in the following database record: biostudies:S-SCDT-10_1038-S44321-025-00352-x.









