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. 2026 Mar 25;14:RP107104. doi: 10.7554/eLife.107104

Uev1A counteracts oncogenic Ras stimuli in both polyploid and diploid cells

Qi Zhang 1,, Yunfeng Wang 1,, Xueli Fu 2,, Ziguang Wang 1,, Yang Zhang 1, Lizhong Yan 1, Yuejia Wang 1, Muhan Yang 1, Dongze Song 1, Ruixing Zhang 2, Hongru Zhang 2,3,, Shian Wu 1,, Shaowei Zhao 1,
Editors: Erika A Bach4, Lynne-Marie Postovit5
PMCID: PMC13016607  PMID: 41879050

Abstract

Oncogenic Ras is known to induce DNA replication stress, leading to cellular senescence or death. In contrast, we found that it can also trigger polyploid Drosophila ovarian nurse cells to die by inducing aberrant division stress. To explore intrinsic protective mechanisms against this specific form of cellular stress, here, we conducted a genome-wide genetic screen and identified the E2 enzyme Uev1A as a key protector. Reducing its expression levels exacerbates the nurse cell death induced by oncogenic Ras, while overexpressing it or its human homologs, UBE2V1 and UBE2V2, mitigates this effect. Although Uev1A is primarily known for its non-proteolytic functions, our studies demonstrate that it collaborates with the E3 APC/C complex to mediate the proteasomal degradation of Cyclin A, a key cyclin that drives cell division. Furthermore, Uev1A and UBE2V1/2 also counteract oncogenic Ras-driven tumorigenesis in diploid cells, suppressing the overgrowth of germline tumors in Drosophila and human colorectal tumor xenografts in nude mice, respectively. Remarkably, elevated expression levels of UBE2V1/2 correlate with improved survival rates in human colorectal cancer patients harboring oncogenic KRAS mutations, indicating that their upregulation could represent a promising therapeutic strategy.

Research organism: D. melanogaster, M. musculus

Introduction

Although the human body contains trillions of cells that could potentially be targeted by oncogenic mutations, cancers arise infrequently throughout a human lifetime, suggesting the presence of effective resistance mechanisms (Lowe et al., 2004). One key mechanism involves the induction of DNA replication stress by these oncogenic mutations, leading to cellular senescence or death (Hills and Diffley, 2014; Kotsantis et al., 2018). This mechanism is mediated through the activation of the DNA damage response (DDR) pathway and the tumor suppressor protein p53, which are triggered by DNA double-strand breaks (DSBs). Only the cells that escape senescence and death, such as those harboring p53 mutations, can undergo transformation by oncogenic mutations, thereby initiating tumorigenesis (Gaillard et al., 2015; Igarashi et al., 2024; Macheret and Halazonetis, 2015). Among the most frequently mutated oncogenes in human cancers are the RAS genes (KRAS, NRAS, and HRAS), which mutations are present in 20–30% of all cancer cases (Gimple and Wang, 2019; Sanchez-Vega et al., 2018). These mutations often occur at codons 12, 13, and 61, resulting in RAS small GTPases being locked in a constitutively active, GTP-bound state (Moore et al., 2020). Notably, previous studies have shown that oncogenic HRASG12V can induce DNA replication stress via the DDR pathway, ultimately leading to cellular senescence (Di Micco et al., 2006; Serrano et al., 1997).

The Ras oncogene at 85D gene (Ras85D, hereafter referred to as Ras) in Drosophila exhibits high homology to human RAS genes (Neuman-Silberberg et al., 1984). Our previous research demonstrated that oncogenic RasG12V triggers cell death in Drosophila ovarian nurse cells (Zhang et al., 2024b), a type of post-mitotic germ cells that undergo G/S endoreplication to become polyploid (Hammond and Laird, 1985; Figure 1A). Notably, oncogenic RasG12V promotes the division of mitotic germ cells, the precursors to nurse cells. Furthermore, monoallelic deletion of the cyclin A (cycA) or cyclin-dependent kinase 1 (cdk1) gene (cycA+/- or cdk1+/-) suppresses RasG12V-induced nurse cell death (Zhang et al., 2024b). While CycA, a key cyclin promoting cell division, is not expressed in normal nurse cells (Lilly et al., 2000; Lilly and Spradling, 1996), its ectopic expression in nurse cells can trigger their death (as observed in this study). These findings suggest that the nurse cell death induced by oncogenic RasG12V is primarily due to aberrant promotion of cell division. Drosophila ovarian nurse cells thus offer a valuable model for studying this specific form of cellular stress.

Figure 1. Genetic screen identifies Uev1A as a crucial protector against RasG12V-induced nurse cell death.

Figure 1.

(A) Schematic cartoon for Drosophila ovariole. During oogenesis, germline stem cell (GSC) undergoes asymmetric division to generate two daughter cells: one that self-renews and maintains GSC identity, and the other, called a cystoblast, that differentiates to support oogenesis. As differentiation progresses, each cystoblast performs four rounds of division with incomplete cytokinesis to produce 16 interconnected cystocytes, establishing a germline cyst. This germline cyst is then surrounded by epithelial follicle cells to form an egg chamber. Within each egg chamber, one of the 16 germ cells becomes the oocyte, while the remaining 15 differentiate into nurse cells. These nurse cells undergo G/S endocycling, becoming polyploid to aid in oocyte development. (B) Representative germarium and early-stage egg chamber with Flag-RasG12V overexpression driven by bam-GAL4-VP16. The red arrow denotes an early-stage egg chamber. (C) Genetic screening strategy. Genotype of ‘bam>RasGG12V’: bam-GAL4-VP16/FM7;; UASp-RasG12V/TM6B. (D) Representative ovaries and egg chambers (DAPI staining). The red arrows in (D) denote degrading egg chambers. Scale bars: 200 μm. (E) Quantification data. 30 ovaries from 7-day-old flies were quantified for each genotype. Statistical significance was determined using t test (groups = 2) or one-way ANOVA (groups >2): ** (p<0.01) and *** (p<0.001).

Ubiquitination not only mediates protein degradation through the proteasome or lysosome but also plays crucial regulatory roles in various biological processes (Dikic, 2017; Kwon and Ciechanover, 2017). These functions are largely determined by the topological structures of the polyubiquitin chains, where ubiquitin can be linked to another ubiquitin via any of its seven lysine (K) residues or its first methionine residue. Among these, K11- and K48-linked polyubiquitin primarily mediates the proteasomal degradation. In contrast, K63 linkage facilitates the lysosomal degradation of protein aggregates and damaged organelles through autophagy. Additionally, K63 linkage is involved in non-degradative processes such as DNA repair, kinase activation, and protein transport (Kwon and Ciechanover, 2017). Ubc13 is a ubiquitin-conjugating (E2) enzyme that specifically catalyzes the formation of the K63 linkage. However, this activity requires a unique cofactor known as Ubc variant (Uev). Uev proteins lack the catalytic cysteine residue necessary for ubiquitin thioester formation; instead, they work with Ubc13 to form a functional E2 complex (Hofmann and Pickart, 1999; McKenna et al., 2001). These E2 enzymes have been shown to play regulatory roles in various biological processes, including cell death (Ma et al., 2013), DNA repair (Broomfield et al., 1998), DDR, and innate immunity (Andersen et al., 2005; Bai et al., 2020; Zhou et al., 2005). However, it still remains unknown whether they also possess proteasomal proteolytic functions and whether such functions hold significant biological roles.

In this study, to investigate the intrinsic protective mechanisms against RasG12V-induced nurse cell death in Drosophila, we conducted a genome-wide genetic screen and identified Uev1A as a crucial protector. Mechanistically, Uev1A works in conjunction with the anaphase-promoting complex or cyclosome (APC/C) to degrade the essential cyclin CycA via the proteasome, highlighting the critical role of its proteolytic function. Additionally, Uev1A and its human homologs, UBE2V1 and UBE2V2, also counteract oncogenic Ras-driven tumorigenesis in diploid cells, inhibiting the overgrowth of Drosophila germline tumors and human colorectal tumor xenografts in nude mice, respectively. These findings suggest that upregulation of UBE2V1/2 could represent a promising therapeutic approach for human colorectal cancers with RAS mutations.

Results

Genetic screen identifies Uev1A as a crucial protector against RasG12V-induced nurse cell death

While oncogenic RasG12V triggers cell death in nurse cells, it does not have the same effect in cystocytes, the precursor cells before differentiating into nurse cells (Zhang et al., 2024b). To confirm RasG12V expression in cystocytes, we generated a UASz-flag-RasG12V transgenic fly strain, which phenocopied the effects observed with the previously used UASp-RasG12V. RAS small GTPases need to be anchored to the inner cell membrane for their proper function (Willingham et al., 1980). Using bam-GAL4-VP16 (Chen and McKearin, 2003), we overexpressed RasG12V specifically in cystocytes (bam>flag-RasG12V) at 29°C and observed membrane-localized Flag signals, validating the normal expression of RasG12V (Figure 1B). Also, Flag signals were detected in some early-stage nurse cells, although these signals gradually diminished over time (Figure 1B). During cell death, nurse cell nuclei progress through distinct morphological stages: from large and round, to disorganized and condensed, and finally to completely fragmented into small, spherical structures (Figure 1D). Given the interconnection and synchronous death of all nurse cells within an egg chamber, we quantified this death phenotype at the egg-chamber level. Notably, nurse cell death remained very low in bam>flag-RasG12V fly ovaries (Figure 1D and E). This may be attributed to either insufficient levels of the oncoproteins or the presence of a protective mechanism.

To explore the potential protective mechanism, we conducted a genetic modifier screen by introducing individual genome-wide Deficiencies (361 lines) into bam>RasGG12V flies (bam>RasGG12V; Deficiency/+, Figure 1C). Of note, ovaries from bam>RasGG12V; Df#7584/++ flies exhibited the highest incidence of degrading egg chambers with dying nurse cells per ovary (see Source data 1). One gene deleted in this deficiency line is uev1a, and RNAi targeting uev1a reproduced the phenotype seen with Df#7584 (Figure 1D and E). In this and all subsequent experiments, we quantified the nurse-cell-death phenotype using the percentage of degrading to total egg chambers per ovary (Figure 1E), a method that is more precise than our approach in the genetic screen. To further verify the role of uev1a, we generated a UASz-uev1a transgenic fly strain. Overexpression of Uev1A, but not GFP (UASp-GFP; Zhang et al., 2024a), successfully rescued the nurse-cell-death phenotype in bam>RasGG12V; Df#7584/++ fly ovaries (Figure 1D and E), confirming that Uev1A is a crucial protector against RasG12V-induced nurse cell death.

Protective role of Uev1A against the nurse cell death induced by direct overexpression of RasG12V

In contrast to the scenario above (bam>RasGG12V), direct overexpression of RasG12V in nurse cells using nos-GAL4-VP16 (Rørth, 1998; Van Doren et al., 1998) (nos>RasGG12V) resulted in substantial cell death even at 25°C (Figure 2A and D; Zhang et al., 2024b). Such observation prompted us to investigate the role of Uev1A in this context. Notably, the incidence of dying nurse cells was markedly elevated in nos>RasGG12V+uev1a-RNAi ovaries compared to the nos>RasGG12V+GFP-RNAi control ovaries (Figure 2A and D). To further validate this, we generated two uev1a mutants using the CRISPR/Cas9 technique: uev1aΔ1 and uev1aΔ2. Both mutations consist of small deletions that cause frame shifts within the second coding exon of the uev1a gene (Figure 2B). Of note, flies with the uev1aΔ1/Δ1, uev1aΔ1/Δ2, uev1aΔ1/Df#7584, uev1aΔ2/Δ2, or uev1aΔ2/Df#7584 genotype could not survive into adults, suggesting that both mutations are strong loss-of-function alleles. Consistent with the effects observed with uev1a-RNAi, either mutation markedly increased the incidence of dying nurse cells in nos>RasGG12V ovaries (Figure 2C and D).

Figure 2. Uev1A protects against the nurse cell death induced by direct overexpression of RasG12V.

(A, C, and F) Representative samples (DAPI staining). (B) Molecular information of the uev1aΔ1 and uev1aΔ2 mutations. The red dashed lines represent nucleotide deletions. (D and G) Quantification data. 30 ovaries from 3-day-old flies were quantified for each genotype. Statistical significance was determined using t test (groups = 2) or one-way ANOVA (groups>2): **** (p<0.0001). (E) Protein sequence alignment of Uev1A, UBE2V1, and UBE2V2. It was performed using CLUSTALW and ESPript 3.0 software.

Figure 2.

Figure 2—figure supplement 1. Uev1A protects against Yki3SA-induced nurse cell death.

Figure 2—figure supplement 1.

(A) Representative ovaries (DAPI staining). The red arrows denote degrading egg chambers. Scale bars: 200 μm. (B) Quantification data. 30 ovaries from 7-day-old flies were quantified for each genotype. Statistical significance was determined using t test: * (p<0.05) and **** (p<0.0001).

We next investigated whether upregulating Uev1A could mitigate the nurse cell death induced by direct overexpression of RasG12V. Remarkably, compared to the nos>RasGG12V+lacZ control ovaries, the incidence of dying nurse cells was significantly reduced in nos>RasGG12V+Uev1A ovaries (Figure 2F and G). Uev1A has two human homologs, UBE2V1 and UBE2V2, which share 67% (85%) and 67% (86%) sequence identities (similarities) with Uev1A, respectively (Figure 2E). We generated transgenic fly strains for both UASz-UBE2V1 and UASz-UBE2V2. Notably, overexpression of either UBE2V1 or UBE2V2, but not lacZ (UASz-lacZ; Zhang et al., 2024b), significantly mitigated RasG12V-induced nurse cell death, similar to the effects observed with Uev1A overexpression (Figure 2F and G). Taken together, these results further confirm the protective role of Uev1A against RasG12V-induced nurse cell death.

Then, we were intrigued by the potential of Uev1A to protect against the nurse cell death induced by other oncogenic mutations. Yorkie (Yki), a key oncoprotein in the Hippo pathway (Huang et al., 2005), has a hyperactive form known as Yki3SA (Oh and Irvine, 2009). Its overexpression (nos>Yki3SA; UASz-Yki3SA; Zhang et al., 2024a) at 29°C, but not at 25°C, could induce nurse cell death (Figure 2—figure supplement 1), albeit much less severe than that induced by nos>RasGG12V at 25°C (compared with Figure 2A and D). Of note, the nurse cell death induced by oncogenic Yki3SA was significantly alleviated by Uev1A overexpression (Figure 2—figure supplement 1), implying a broad role of Uev1A in this process. However, due to the mild effect of Yki3SA on triggering nurse cell death, we focused on RasG12V in our subsequent studies.

The DDR pathway and p53 play opposite roles in RasG12V-induced nurse cell death

To investigate how Uev1A protects against RasG12V-induced nurse cell death, we first sought to further explore the mechanisms driving this cell death. Since egg chambers contain both nurse cells and oocytes (Figure 1A), we considered the possibility that the death signal could originate from oocytes. The Bicaudal D (BicD) gene is essential for oocyte determination, and egg chambers deficient in it fail to specify oocytes (Suter and Steward, 1991). We confirmed this by using nos>BicD-RNAi (Figure 3—figure supplement 1A). Importantly, nurse cell death was much more pronounced in nos>BicD-RNAi+RasGG12V egg chambers than in nos >BicD-RNAi+GFP control ones (Figure 3—figure supplement 1A and B), indicating that the death signal is intrinsic to nurse cells rather than originating from oocytes.

Oncogenic RAS can induce DNA replication stress in diploid cells, thereby activating the DDR pathway and p53 to trigger cellular senescence or death (Di Micco et al., 2006; Serrano et al., 1997). To investigate whether DDR plays a similar role in RasG12V-induced nurse cell death, we targeted two key DDR genes: telomere fusion (tefu, encoding Drosophila ATM) (Oikemus et al., 2004; Silva et al., 2004; Song et al., 2004) and loki (lok, encoding Drosophila Chk2) (Masrouha et al., 2003; Xu et al., 2001). Strikingly, knockdown of either gene markedly enhanced this cell death (Figure 3A and B), revealing a protective role for the DDR pathway. By contrast, knockdown of p53 suppressed this cell death (Figure 3A and B), demonstrating opposing functions for DDR and p53 in this context. To assess DNA DSBs and the ensuing DDR, we monitored the phosphorylation of γH2AV, the Drosophila histone variant analogous to mammalian H2AX (Lake et al., 2013). As egg chamber developmental stages are difficult to discern during degradation, we compared size-matched egg chambers, which are typically stage-matched under normal conditions and have comparable antibody penetration. Elevated γH2AV staining was observed in degrading nos>RasGG12V egg chambers compared to nos>GFP controls (Figure 3C), indicating a heightened burden of DNA DSBs.

Figure 3. Roles of the DNA damage response (DDR) pathway and p53 in RasG12V-induced nurse cell death.

(A) Representative ovaries (DAPI staining). Scale bars: 200 μm. (B) Quantification data. 30 ovaries from 3-day-old flies were quantified for each genotype. Statistical significance was determined using one-way ANOVA: **** (p<0.0001). (C and E) Representative samples. Scale bars: 20 μm. (D) Schematic cartoon for uev1a-flag knock-in.

Figure 3.

Figure 3—figure supplement 1. Oncogenic RasG12V intrinsically triggers nurse cell death.

Figure 3—figure supplement 1.

(A) Representative ovaries (DAPI staining). Scale bars: 200 μm. (B) Quantification data. 30 ovaries from 3-day-old flies were quantified for each genotype. Statistical significance was determined using the t test: **** (p<0.0001).
Figure 3—figure supplement 2. Uev1A is expressed in stretch follicle cells.

Figure 3—figure supplement 2.

Representative ovaries.
Figure 3—figure supplement 3. Uev1A does not directly degrade the RasG12V oncoproteins.

Figure 3—figure supplement 3.

These experiments were performed at 29°C. All images are of the same magnification.

Given that RNAi targeting tefu or lok phenocopied that of uev1a, we hypothesized that Uev1A protects against RasG12V-induced nurse cell death through the DDR pathway. If so, Uev1A may also be upregulated in response to RasG12V-driven stress. To test this, we initially attempted to generate an antibody against Uev1A using its full protein sequence as the antigen; however, this approach was unsuccessful. As an alternative, we created a uev1a-flag knock-in fly strain by inserting the coding sequence of a 3xFlag tag immediately before the stop codon (‘TAG’) of the uev1a gene (Figure 3D). These knock-in flies were homozygous viable and fertile, indicating that the Flag insertion did not disrupt Uev1A’s normal function. Previous studies have shown that Uev1A can activate JNK signaling (Ma et al., 2013), which acts in the surrounding follicle cells to promote nurse cell removal during late oogenesis (Timmons et al., 2016). Indeed, we detected Uev1A-Flag signals in such follicle cells (Figure 3—figure supplement 2), confirming that these signals reflect endogenous Uev1a expression in Drosophila ovaries. Surprisingly, Uev1A-Flag signals were low in both nos>RasGG12V; uev1a-flag/++ and uev1a-flag/++ control nurse cells, with no significant differences between the two groups (Figure 3E). This suggests that Uev1A expression remains at basal levels, rather than being upregulated by RasG12V-driven stress in this context. Although we cannot rule out the possibility that Uev1A may play a role in the DDR pathway at these basal levels, these findings prompted us to explore its potential proteolytic function as an E2 enzyme.

Following the Occam’s Razor principle, we first investigated whether Uev1A is involved in downregulating RasG12V oncoprotein levels. To address the challenges of analyzing membrane-localized signals in nos>flag-RasG12V nurse cells due to severe cell death, we performed this assay in bam>flag-RasG12V ovaries at 29°C. Notably, similar membrane-localized Flag signals were detected in both bam>flag-RasG12V+Uev1A and bam>flag-RasG12V+GFP control germ cells, including nurse cells (Figure 3—figure supplement 3). This result suggests that Uev1A does not downregulate RasG12V oncoprotein levels.

Uev1A downregulates CycA protein levels in RasG12V-induced dying nurse cells

Our previous research demonstrated that oncogenic RasG12V promotes germline stem cell (GSC) over-proliferation by activating the mitogen-activated protein kinase (MAPK) pathway (Zhang et al., 2024b). This finding led us to investigate whether the same pathway influences RasG12V-induced nurse cell death. Notably, knockdown of downstream of raf1 (dsor1, encoding Drosophila MAPKK) (Tsuda et al., 1993) or rolled (rl, encoding Drosophila MAPK) (Biggs and Zipursky, 1992) significantly mitigated RasG12V-induced nurse cell death (Figure 4A and B), highlighting the pivotal role of the MAPK pathway in this process.

Figure 4. Uev1A collaborates with CycA to mitigate RasG12V-induced nurse cell death.

Figure 4.

(A, C, E, and F) Representative ovaries. DAPI staining in (A and C). Scale bars: 200 μm in (A and C), 20 μm in (E and F). (B, D, and G) Quantification data. 30 ovaries (B and D) and 15 size-matched egg chambers (G) from 3-day-old flies were quantified for each genotype. Statistical significance was determined using t test (groups = 2) or one-way ANOVA (groups >2): **** (p<0.0001).

The Ras/MAPK pathway is well known to promote cell cycle progression (Gimple and Wang, 2019). Our previous work demonstrated that reducing the gene dosage of CycA or Cdk1 suppresses RasG12V-induced nurse cell death (Zhang et al., 2024b). In addition to CycA and Cdk1, Cyclin B (CycB) and String (Stg) are two other essential regulators that drive cell division (Figure 4C; Edgar and Lehner, 1996). To determine if individual overexpression of these regulators could induce nurse cell death, we tested each and found that only CycA triggered this phenotype (Figure 4C and D). Notably, this cell death was suppressed by co-overexpression of CycA and Uev1A (Figure 4C and D), indicating a genetic interaction between them. In line with previous findings (Lilly et al., 2000; Lilly and Spradling, 1996), CycA protein was undetectable in wild-type endocycling nurse cells when assessed using an anti-CycA antibody (Whitfield et al., 1990; Figure 4E). In stark contrast, it was abundantly expressed in dying nos>RasGG12V nurse cells (Figure 4E), underscoring a critical role for CycA in this cell death process. Additionally, we assessed CycA protein levels in size-matched nos>RasGG12V nurse cells under either uev1a or GFP (control) knockdown condition. Notably, uev1a knockdown increased CycA levels compared with the controls (Figure 4F and G), demonstrating that Uev1A downregulates CycA protein levels in RasG12V-induced dying nurse cells.

Uev1A collaborates with the APC/C complex to mitigate RasG12V-induced nurse cell death

It is well established that the APC/C complex primarily functions as an E3 ligase to facilitate the degradation of CycA during cell cycle progression (Sudakin et al., 1995). Thus, a compelling model to explain our findings is that Uev1A collaborates with the APC/C complex to degrade CycA. Cell division cycle 27 (Cdc27, Drosophila APC3) is an essential part of the substrate recognition TPR lobe within the APC/C complex (Yamano, 2019). In bam>RasGG12V+cdc27-RNAi ovaries, we observed dying nurse cells, a phenotype that was exacerbated with mutations in either uev1aΔ1 or uev1aΔ2 (Figure 5A and B). Furthermore, knocking down cdc27 could increase the incidence of dying nurse cells in bam>RasGG12V+uev1a-RNAi ovaries (Figure 5A and B). Also, we investigated Fizzy-related (Fzr), the Drosophila homolog of Cdh1, that is a critical activator of APC/C-dependent proteolysis. It is known that Fzr functions to downregulate mitotic cyclins, including CycA, during cell entry into endocycles (Sigrist and Lehner, 1997). Remarkably, nearly all egg chambers in bam>RasGG12V+uev1a-RNAi+fzr-RNAi ovaries exhibited degradation (Figure 5A and B). Additionally, we knocked down three additional APC/C complex genes in bam>RasGG12V+uev1a-RNAi ovaries: shattered (shtd, encoding Drosophila APC1) (Tanaka-Matakatsu et al., 2007), morula (mr, encoding Drosophila APC2) (Kashevsky et al., 2002), and lemming A (lmgA, encoding Drosophila APC11) (Nagy et al., 2012). Among these factors, Shtd is a critical component of the scaffolding platform, while Mr and LmgA are essential components of the catalytic modules within the APC/C complex (Yamano, 2019). However, no significant enhancement in nurse cell death was observed, which may be due to the relatively mild phenotype of nurse cell death in bam>RasGG12V+uev1a-RNAi ovaries. Therefore, we switched to knocking down these genes in nos>RasGG12V ovaries. Notably, knockdown of any of them could significantly exacerbate RasG12V-induced nurse cell death (Figure 5C and D), similar to the effect observed with Uev1A downregulation. Collectively, these findings provide genetic evidence that Uev1A collaborates with the APC/C complex to mitigate RasG12V-induced nurse cell death.

Figure 5. Uev1A collaborates with the anaphase-promoting complex or cyclosome (APC/C) complex to mitigate RasG12V-induced nurse cell death.

(A and C) Representative ovaries (DAPI staining). The red arrows in (A) denote degrading egg chambers. Scale bars: 200 μm. (B and D) Quantification data. 30 ovaries from 7-day-old (B) or 3-day-old (D) flies were quantified for each genotype. Statistical significance was determined using one-way ANOVA: **** (p<0.0001).

Figure 5.

Figure 5—figure supplement 1. Expression pattern of Uev1A in germarium.

Figure 5—figure supplement 1.

Representative sample.
Figure 5—figure supplement 2. Uev1A, Ben, and Cdc27 work together to protect nurse cells from death during normal oogenesis.

Figure 5—figure supplement 2.

These experiments were performed at 29°C. (A) Representative ovaries (DAPI staining). The red arrows denote degrading egg chambers. Scale bars: 200 μm. (B) Quantification data. 30 ovaries from 7-day-old flies were quantified for each genotype. Statistical significance was determined using one-way ANOVA: **** (p<0.0001).

Then, we investigated whether Uev1A and the APC/C complex protect nurse cells from death during normal oogenesis. Given that the G2/M-promoting CycA is absent in the G/S-endocycling nurse cells (Figure 4E; Lilly et al., 2000; Lilly and Spradling, 1996), we used the cystocyte-specific driver, bam-GAL4-VP16, to conduct the assays at 29°C. Similar to nurse cells, Uev1A expression was at basal levels in cystocytes, with some expression detected in inner sheath cells and epithelial follicle cells (Figure 5—figure supplement 1). Remarkably, nearly all egg chambers in bam>fzr-RNAi ovaries exhibited degradation (Figure 5—figure supplement 2), underscoring Fzr’s critical regulatory role in this context. Uev1A typically partners with Bendless (Ben), the Drosophila homolog of mammalian Ubc13 (Muralidhar and Thomas, 1993; Oh et al., 1994), to perform the E2 enzyme function (Sancho et al., 1998; Zhou et al., 2005). Ovaries with the bam>cdc27-RNAi, bam>cdc27-RNAi+uev1a-RNAi, or bam>cdc27-RNAi+ben-RNAi genotype showed minimal degradation of egg chambers (Figure 5—figure supplement 2). However, degraded egg chambers were prevalent in bam>cdc27-RNAi+ben-RNAi; uev1aΔ1/++ and bam>cdc27-RNAi+ben-RNAi; uev1aΔ2/++ ovaries, where Uev1A, Ben, and Cdc27 are all downregulated (Figure 5—figure supplement 2). These results suggest that Uev1A, Ben, and the APC/C complex also work together to protect nurse cells from death during normal oogenesis.

Uev1A and the APC/C complex work together to degrade CycA via the proteasome

The APC/C complex is known to collaborate with the E2 enzymes UBE2C (Drosophila homolog: Vihar) and UBE2S (Drosophila homolog: Ube2S) to facilitate the proteasomal degradation of CycA during cell cycle progression (Greil et al., 2022; Yamano, 2019). This degradation involves the assembly of branched ubiquitin chains, incorporating K11, K48, and K63 linkages through a two-step mechanism (Meyer and Rape, 2014). However, the involvement of Uev1A in this process remains unexplored. To explore it, we performed biochemical assays in cultured Drosophila Schneider 2 (S2) cells, overexpressing tag-fused proteins using act-GAL4 to enhance expression efficiency. Co-immunoprecipitation (co-IP) assays revealed that Uev1A interacts with several components of the APC/C complex, including Mr (Drosophila APC2), Cdc16 (Drosophila APC6), and Cdc23 (Drosophila APC8). In addition, Cdc27 was found to interact with CycA (Figure 6A and B, Figure 6—figure supplement 1). Remarkably, RNAi targeting uev1a, ben, or cdc27 significantly stabilized CycA proteins after the treatment with cycloheximide (CHX), an inhibitor of protein synthesis (Figure 6C and D and Figure 6—figure supplement 2). Since the K63 linkage primarily mediates lysosomal degradation via autophagy (Kwon and Ciechanover, 2017), we tested CycA stabilization with a chloroquine (CQ, a lysosome inhibitor) or MG132 (a proteasome inhibitor) treatment. Notably, MG132, but not CQ, treatment significantly stabilized CycA proteins (Figure 6E). These results suggest that Uev1A, Ben, and Cdc27 cooperate to promote CycA degradation through the proteasome rather than the lysosome.

Figure 6. Uev1A, Ben, and Cdc27 work together to degrade CycA through the proteasome.

(A and B) Co-immunoprecipitation (co-IP) assays. The tagged proteins were co-expressed in S2 cells to assess physical interactions. As shown in (A), Uev1A interacts specifically with three APC/C subunits: Mr (APC2), Cdc16 (APC6), and Cdc23 (APC8). Assays in (B) demonstrate a physical interaction between CycA and Cdc27 (APC3). (C–E) CycA stability assays. CHX: a protein-synthesis inhibitor; MG132: a proteasome inhibitor; CQ: a lysosome inhibitor. In (D), the relative levels of CycA proteins were quantified using the following formula: (Mean gray value of the CycA/β-Actin band at n hours post-treatment) ÷ (Mean gray value of the CycA/β-Actin band at 0 hr). Three independent replicates were conducted at each time point, and statistical significance was determined using two-way ANOVA with multiple comparisons: **** (p<0.0001). (F and G) CycA ubiquitination assays in S2 cells. As shown in (F), Cdc27 promotes CycA ubiquitination in a Uev1A/Ben-dependent manner. Assays in (G) indicate that the K11 and K63 of ubiquitin are required for CycA ubiquitination.

Figure 6—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
Figure 6—source data 2. Original files for western blot analysis.

Figure 6.

Figure 6—figure supplement 1. Co-immunoprecipitation (co-IP) results.

Figure 6—figure supplement 1.

The tagged proteins were co-expressed in S2 cells to assess physical interactions. Physical interaction was observed between Uev1A and Ben (A). No interaction was detected between Uev1A and Cdc27, Fzr, or Fzy (B, D, E), nor between Ben and Cdc27 (C).
Figure 6—figure supplement 1—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
Figure 6—figure supplement 1—source data 2. Original files for western blot analysis.
Figure 6—figure supplement 2. RNAi efficiency assays.

Figure 6—figure supplement 2.

The #1 double-stranded RNAs (dsRNAs) were employed in RNAi assays targeting uev1a, ben, and cdc27 in Figure 6C, D, and F.
Figure 6—figure supplement 2—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
Figure 6—figure supplement 2—source data 2. Original files for western blot analysis.

To directly validate this, we performed ubiquitination assays for CycA in S2 cells. Cdc27 significantly enhanced CycA ubiquitination, while this effect was markedly reduced upon the knockdown of uev1a, ben, or both (Figure 6F). This result indicates that both Uev1A and Ben are essential for APC/C-mediated proteasomal degradation of CycA. Furthermore, we explored the roles of the seven lysine (K) residues in ubiquitin for polyubiquitin chain formation. The 7KR (lysine to arginine) mutation completely abolished Cdc27-promoted polyubiquitination of CycA. Intriguingly, the 6KR+K48 mutation, in which all K residues except K48 were mutated to R residues, failed to restore polyubiquitination. In contrast, either 6KR+K11 or 6KR+K63 mutation significantly restored polyubiquitination (Figure 6G). These findings suggest that the K11 and K63 linkages are primarily responsible for CycA polyubiquitination in Drosophila cells. Together with previous studies (Hofmann and Pickart, 1999; McKenna et al., 2001), we propose that Uev1A and Ben mediate the K63 linkage in this process.

Uev1A inhibits the overgrowth of Drosophila germline tumors driven by oncogenic RasG12V

Given the absence of cell division in normal polyploid nurse cells (Hammond and Laird, 1985), their death induced by division-promoting RasG12V represents an artificial stress. Notably, Uev1A was not upregulated in response to this stress (Figure 3E), and it executed the function through degrading CycA (Figures 46). These findings prompted us to investigate whether Uev1A also counteracts oncogenic Ras-driven tumorigenesis in diploid cells, which undergo normal cell division. Our prior research demonstrated that oncogenic RasG12V markedly promotes the overgrowth of diploid bam-deficient germline tumors (Zhang et al., 2024b), which are highly resistant to cell death (Zhang et al., 2023; Zhao et al., 2018). Intriguingly, knocking down uev1a significantly enhanced the overgrowth of these tumors, while overexpressing Uev1A suppressed it (Figure 7A and B). These results indicate that Uev1A also plays a role in counteracting oncogenic Ras-driven tumorigenesis in diploid cells.

Figure 7. Uev1A inhibits the overgrowth of germline tumors induced by oncogenic RasG12V.

Figure 7.

(A and C) Representative ovaries (DAPI staining). All images in (A) are of the same magnification. Scar bars in (C): 200 μm. (B) Quantification data for ovarian size. The largest 2D area of each ovary in a single confocal focal plane was scanned, and its size was measured using ImageJ. 30 ovaries from 3-day-old flies were analyzed for each genotype. (D) Representative samples. The germline stem cells (GSCs) within stem cell niches are outlined by yellow dashed lines. Both images are of the same magnification. (E) Quantification data for GSC numbers per germarium. Germ cells that directly contact cap cells and contain dot-like spectrosomes were counted as GSCs. 100 germaria from 14-day-old flies were quantified for each genotype. In (B and E), statistical significance was determined using t test: n.s. (p>0.05) and * (p<0.05).

Considering the therapeutic potential of gene upregulation in inhibiting tumor growth, a critical concern is its impact on normal physiological processes. In this study, we examined the impact of Uev1A overexpression on Drosophila oogenesis and GSC maintenance. Notably, the nos>Uev1A flies remained fertile, and their ovaries appeared morphologically similar to those of the nos>lacZ control flies (Figure 7C), indicating normal oogenesis. Furthermore, each germarium in the ovaries of 14-day-old nos>Uev1A flies contained a similar number of GSCs as those in the nos>lacZ control flies (Figure 7D and E). These results suggest that Uev1A overexpression does not disrupt normal oogenesis and GSC maintenance.

UBE2V1 and UBE2V2 inhibit the overgrowth of human colorectal tumors driven by oncogenic KRAS

Our findings in Drosophila prompted us to explore the tumor-suppressive effects of UBE2V1 and UBE2V2 on the growth of RAS-mutant human tumors. Using the Kaplan-Meier plotter (https://kmplot.com/analysis), we first evaluated the correlation between UBE2V1/2 expression and prognosis in several types of RAS-mutant cancer patients, including melanoma, myeloma, lung cancer, and colorectal cancer. Among them, higher expression levels of UBE2V1/2 were significantly associated with improved relapse-free survival in KRAS-mutant colorectal cancer patients (Figure 8A). RNA-seq data from The Cancer Genome Atlas (TCGA) showed that UBE2V1 and UBE2V2 are transcribed at similar levels in colorectal cancer patients with oncogenic RAS mutations (including KRAS, HRAS, and NRAS) as in those without such mutations (Figure 8—figure supplement 1). These findings suggest that UBE2V1 and UBE2V2 are not upregulated in response to oncogenic RAS mutations, paralleling the behavior of Uev1A in Drosophila ovarian nurse cells (Figure 3E).

Figure 8. Prognostic significance and tumor-suppressive effects of UBE2V1 and UBE2V2 on KRAS-mutant colorectal cancer.

(A) Kaplan-Meier analysis of relapse-free survival in KRAS-mutant colorectal cancer patients with high or low expression levels of UBE2V1 and UBE2V2. (B and E) The knockdown efficiency assays. The relative mRNA levels were normalized to GAPDH. (C–G) Assays to evaluate the effects of UBE2V1- and UBE2V2-RNAi on colony formation and cell viability in SW480 and HCT116 cells. In (B, C, E, and F), three independent replicates were conducted, and statistical significance was determined using t test. In (D and G), five (D) and six (G) independent replicates were conducted at each time point, and statistical significance was determined using two-way ANOVA with multiple comparisons. * (p<0.05), *** (p<0.001), and **** (p<0.0001).

Figure 8.

Figure 8—figure supplement 1. The Cancer Genome Atlas (TCGA) analysis comparing UBE2V1 and UBE2V2 expression levels in colorectal cancer patients with and without RAS mutations.

Figure 8—figure supplement 1.

The TCGA patient data were downloaded from the UCSC Xena website: the RNA-seq data (Version: 05-09-2024) and the somatic mutation data (Version: 08-05-2024). Statistical significance was determined using t test: n.s. (p>0.05).
Figure 8—figure supplement 2. Knocking down either UBE2V1 or UBE2V2 alone mildly influences the growth of colorectal cancer cell lines.

Figure 8—figure supplement 2.

(A and C) The knockdown efficiency assays. The relative mRNA levels were normalized to GAPDH. Three independent replicates were conducted, and statistical significance was determined using one-way ANOVA. (B and D) Assays to evaluate the effects of UBE2V1- and UBE2V2-RNAi on colony formation and cell viability in SW480 cells. Six independent replicates were conducted at each time point, and statistical significance was determined using two-way ANOVA with multiple comparisons. n.s. (p>0.05), * (p<0.05), ** (p<0.01), *** (p<0.001), and **** (p<0.0001).

To investigate the potential tumor-suppressive roles of UBE2V1 and UBE2V2 in KRAS-mutant colorectal cancer, we performed individual knockdowns of each gene in two human colorectal cancer cell lines: SW480 cells (carrying the KRASG12V mutation) and HCT116 cells (carrying the KRASG13D mutation). Notably, individual knockdown of either UBE2V1 or UBE2V2 only mildly affected the proliferation of SW480 cells (Figure 8—figure supplement 2), suggesting potential functional redundancy between the two proteins. However, combined knockdown of UBE2V1 and UBE2V2 significantly enhanced colony formation and cell viability in both SW480 and HCT116 cells, as demonstrated by clonogenic and CCK8 assays (Figure 8B–G). These results indicate that UBE2V1 and UBE2V2 exert tumor-suppressive effects in colorectal cancer cells harboring oncogenic KRAS mutations.

Next, we examined whether overexpression of UBE2V1 or UBE2V2 could suppress the growth of SW480 and HCT116 cells. The overexpression efficiency of each protein was confirmed by western blotting (Figure 9—figure supplement 1A). Using 5-ethynyl-2’-deoxyuridine (EdU) incorporation assays, we found that overexpression of either UBE2V1 or UBE2V2 significantly inhibited the proliferation of both cancer cell lines in vitro (Figure 9—figure supplement 2A and B). This antiproliferative effect was further supported by clonogenic and cell viability assays (Figure 9—figure supplement 2C–E).

To validate the tumor-suppressive effects of UBE2V1 and UBE2V2 in vivo, we established stable SW480 cell lines overexpressing each protein, with overexpression confirmed by western blotting (Figure 9—figure supplement 1B). In subcutaneous tumorigenesis assays using Balb/c nude mice, overexpression of either UBE2V1 or UBE2V2 significantly inhibited tumor formation compared to control (Figure 9A and B). Immunohistochemical analysis of the resulting tumors showed a marked decrease in Cyclin A expression and Ki-67-positive cells, indicating reduced proliferation (Figure 9C and D). Notably, the tumor-suppressive effect of UBE2V1 was more robust than that of UBE2V2, consistent with the stronger protective effect of UBE2V1 against RasG12V-induced nurse cell death in Drosophila (Figure 2F and G). Taken together, these findings provide strong evidence for the tumor-suppressive roles of UBE2V1 and UBE2V2 in KRAS-mutant colorectal cancer.

Figure 9. Overexpression of UBE2V1 or UBE2V2 suppresses the growth of KRAS-mutant colorectal cancer.

(A and B) Subcutaneous tumorigenesis assays in nude mice, where tumors were excised, photographed, and weighed 28 days after tumor cell injection. (C and D) Immunohistochemical staining to assess CycA expression and Ki-67 positivity in tumor tissues. All images in (C) are of the same magnification. In (B-1), six independent replicates were conducted, and statistical significance was determined using two-way ANOVA with multiple comparisons. In (B-2 and D), six independent replicates were conducted, and statistical significance was determined using one-way ANOVA. ** (p<0.01), *** (p<0.001), and **** (p<0.0001). (E) Working model. By degrading CycA, Uev1A and the E3 APC/C complex counteract oncogenic Ras stimuli, thereby protecting against cell death in polyploid Drosophila nurse cells and suppressing overgrowth in diploid Drosophila germline and human colorectal tumor cells.

Figure 9.

Figure 9—figure supplement 1. Validation of UBE2V1/2 overexpression in colorectal cancer cell lines.

Figure 9—figure supplement 1.

(A) Western blotting to confirm the transient overexpression of UBE2V1 and UBE2V2 in SW480 and HCT116 cell lines. β-Actin was used as the loading control. (B) Western blotting to confirm the stable overexpression of UBE2V1 and UBE2V2 in SW480 cells, with UBE2V1-OE #1 and UBE2V2 #3 cell lines utilized in subcutaneous tumorigenesis assays. α-Tubulin was used as the loading control. In both (A) and (B), cells transfected with an empty overexpression vector served as the control.
Figure 9—figure supplement 1—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
Figure 9—figure supplement 1—source data 2. Original files for western blot analysis.
Figure 9—figure supplement 2. UBE2V1/2 overexpression suppresses the growth of colorectal cancer cell lines.

Figure 9—figure supplement 2.

(A and B) 5-Ethynyl-2’-deoxyuridine (EdU) incorporation assays to assess the effects of UBE2V1 and UBE2V2 overexpression (OE) on cell proliferation in SW480 and HCT116 cells. Empty OE vector was used as the control. All images in (A) are of the same magnification. (C–E) Assays to evaluate the effects of UBE2V1- and UBE2V2-OE on colony formation and cell viability in SW480 and HCT116 cells. In (B and D), three independent replicates were conducted, and statistical significance was determined using one-way ANOVA. In (E), five independent replicates were conducted, and statistical significance was determined using two-way ANOVA with multiple comparisons. * (p<0.05), ** (p<0.01), and **** (p<0.0001).

Discussion

It is well established that oncogenic Ras can induce DNA replication stress, leading to cellular senescence or death (Hills and Diffley, 2014; Kotsantis et al., 2018). However, our previous (Zhang et al., 2024b) and current findings demonstrated that oncogenic RasG12V can also trigger cell death in polyploid Drosophila ovarian nurse cells through aberrantly promoting their division. In this study, we performed a genome-wide genetic screen and identified the E2 enzyme Uev1A as a crucial protector against this specific form of cellular stress. Mechanistically, Uev1A collaborates with the APC/C complex (E3) to facilitate the proteasomal degradation of CycA, which overexpression alone can also trigger nurse cell death. Furthermore, Uev1A and its human homologs, UBE2V1 and UBE2V2, counteract oncogenic Ras-driven tumorigenesis in diploid Drosophila germline and human colorectal tumor cells, respectively. These findings highlight the critical role of Uev1A in counteracting oncogenic Ras stimuli in both polyploid and diploid cells (Figure 9E).

Our studies reveal that the DDR pathway protects against RasG12V-induced nurse cell death (Figure 3A and B), suggesting that this cellular stress both activates and is subsequently suppressed by the DDR. In contrast, p53 promotes nurse cell death under the same conditions (Figure 3A and B). Interestingly, previous research has also demonstrated distinct roles of p53 and Lok, a crucial DDR regulator, in regulating nurse cell death during mid-oogenesis. While Lok overexpression triggers nurse cell death, p53 overexpression does not. Furthermore, Lok-induced nurse cell death remains unaffected by p53 mutation, indicating that its mechanism operates independently of p53 (Bakhrat et al., 2010). The underlying mechanisms driving these differences warrant further investigation.

Of note, the suppressive effects of Uev1A on RasG12V; bamRNAi germline tumors in Drosophila were less pronounced than that of UBE2V1/2 on oncogenic KRASG12V-driven human colorectal tumor xenografts in nude mice (compare Figure 7A and B with Figure 9A and B). Our previous research has shown that RasG12V; bam-/- germline tumor cells divide infrequently (Zhang et al., 2024b). This suggests that the relatively weak suppression observed in these tumors may be due to the fact that Uev1A’s mechanism of action is cell cycle-dependent: the more frequently tumor cells divide, the more effectively Uev1A can suppress tumor overgrowth. We did not observe significant negative effects of Uev1A overexpression on GSC maintenance in Drosophila ovaries (Figure 7D and E). This is likely because GSCs also divide infrequently (Morris and Spradling, 2011). Therefore, these findings underscore the importance of considering the potential negative effects of Uev1A/UBE2V1/2 overexpression in other contexts, particularly when cells divide rapidly.

RAS oncoproteins have long been considered ‘undruggable’, due to the lack of deep-binding, targetable pockets (Moore et al., 2020). To date, targeted therapies have been approved only for KRASG12C (Canon et al., 2019; Ou et al., 2022; Skoulidis et al., 2021). Recently, small-molecule pan-KRAS degraders, developed using the proteolysis-targeting chimeras (PROTACs) strategy, have shown promise (Popow et al., 2024), though their clinical effectiveness and safety remain to be fully validated. Alternatively, targeting key regulators in the RAS signaling pathway—such as SOS, SHP2, Farnesyltransferase, Raf, MEK, ERK, and PI3K—has emerged as an attractive therapeutic approach (Moore et al., 2020). Recent research has also explored the strategy of hyperactivating oncogenic RAS to trigger cell death as a potential means to suppress the overgrowth of human colon tumor xenografts in nude mice (Dias et al., 2024). Additionally, targeting the cellular dependencies driven by oncogenic RAS may trigger RAS-specific synthetic lethality, presenting a promising therapeutic approach (Moore et al., 2020). Our findings highlight the tumor-suppressive effects of UBE2V1 and UBE2V2 on human colorectal tumors driven by oncogenic KRAS (Figures 8 and 9). Notably, both of these two E2 enzymes are relatively small, with UBE2V1 consisting of 147 amino acid residues and UBE2V2 145 residues (Figure 2E). This raises the exciting possibility that their upregulation, through mRNA delivery or small-molecule agonists, could offer a promising therapeutic approach for human cancer.

Materials and methods

Fly husbandry

Cross experiments were conducted at 25°C, except for some performed at 29°C as noted.

Transgenic flies

UASz-flag-RasG12V, UASz-uev1a, UASz-UBE2V1, and UASz-UBE2V2

The coding sequences (CDSs) of flag-RasG12V, uev1a-RA, UBE2V1, and UBE2V2 were cloned into the pUASz1.0 vector. These plasmids were then microinjected into fertilized fly embryos with the genotype ‘nos-int; attP40’, resulting in the generation of transgenic fly strains. The DNA sequence encoding 3xFlag was as follows: ATGGACTACAAAGACCATGACGGTGATTATAAAGATCATGACATCGATTACAAGGATGACGATGACAAGCTT.

uev1a Δ1 and uev1a Δ2 mutants

The gRNA targeting the second coding exon of the uev1a gene was designed with the DNA sequence ‘GATCCAGCTCCTCCAGTAAGCGG’ and cloned into the pCFD3 vector. The plasmids were then microinjected into fertilized fly embryos with the genotype ‘nos-int; attP40’ to generate transgenic fly strain. These transgenic flies were subsequently crossed with ‘nos-cas9; FRT2A’ flies to generate uev1a knockout mutants, whose molecular information was identified by Sanger sequencing.

uev1a-flag knock-in

The gRNA targeting the second-to-last coding exon of the uev1a gene was designed with the DNA sequence ‘GTTATAAACCGGAGCGTTGGTGG’ and cloned into the pU6-BbsI-chiRNA vector. The homology arms consisted of 991 bp upstream of the stop codon (‘TAG’), followed by a 3xFlag tag sequence, the ‘TAG’ stop codon, and 979 bp downstream of ‘TAG’. To prevent cleavage by the gRNA, the targeting sequence within the upstream homology arm was mutated to ‘CCTACCCTGCGCTTCATTA’, ensuring that the amino acid sequence remained unaltered. These DNA sequences were synthesized into the pUASz1.0 vector between the BamHI and KpnI sites and used as a double-stranded DNA (dsDNA) donor for homologous recombination-mediated repair. The pU6-uev1a-gRNA-2 (100 ng/μL) and pUASz-uev1a-donor (100 ng/μL) plasmids were then co-injected into fertilized fly embryos with the genotype ‘nos-cas9 (on X)’ (Kondo and Ueda, 2013). The resulting uev1a-flag knock-in fly strain was identified by PCR and confirmed by Sanger sequencing.

Immunofluorescent staining

Fly ovaries were dissected in the PBS solution, fixed by the 4% paraformaldehyde solution (diluted in PBS) for 3 hr, washed by the PBST solution (0.3% Triton X-100 diluted in PBS) for 1 hr at room temperature (RT), then incubated with the primary antibodies (diluted in PBST) overnight at 4°C, washed by the PBST solution for 1 hr at RT, incubated with the secondary antibodies and 0.1 μg/mL DAPI (diluted in PBST) overnight at 4°C, washed by the PBST solution for 1 hr at RT, and subsequently mounted using 70% glycerol (autoclaved).

Construction of plasmids used in S2 cells

The CDSs of the genes were amplified from the cDNAs derived from either S2 cells or adult wild-type (w1118) flies and subsequently cloned into the pUASt-attB vector. N- or C-terminal tags were incorporated based on prior studies or structural predictions from AlphaFold. The following proteins were tagged at the N-terminus: APC4, Ben, CDC16, CDC23, Cdc27, CycA, Fzr, Fzy, Ida, Mr, Ub, Ub7KR, Ub6KR+K11, Ub6KR+K48, Ub6KR+K63, and Uev1A. In contrast, APC7 was tagged at the C-terminus.

Culture and transfection of S2 cells

S2 cells were cultured in insect medium with 10% FBS and incubated at 27°C without CO2. To transfect, cells were plated in six-well plates to reach 70% confluence and incubated for 3 hr at 27°C. Then, a pre-complexed mixture of plasmid DNA and X-tremeGENE HP DNA transfection reagent was added slowly to the cultures. The transfection process followed the manufacturer’s instructions. After gentle mixing, cells were incubated at 27°C, and samples were collected 36 hr after transfection.

Immunoprecipitation, immunoblotting, ubiquitination, and protein stability assays in S2 cells

Immunoprecipitation assay

The transfected S2 cells were lysed using NP-40 lysis buffer supplemented with protease inhibitors at 4°C for 30 min. The supernatants were incubated with primary antibodies at 4°C for 3 hr, followed by incubation with Protein G Sepharose for 2 hr. The beads were washed five times with NP-40 lysis buffer and boiled for 5 min in 2× SDS protein loading buffer (0.25 M Tris-HCl [pH 6.8], 78 mg/mL DTT, 100 mg/mL SDS, 50% glycerol, and 5 mg/mL bromophenol blue). Then the samples were subjected to western blotting.

Immunoblotting assay

After 36 hr of transfection, the S2 cells were harvested and lysed in 2× SDS protein loading buffer. The lysates were then boiled for 5 min and subjected to western blotting.

Ubiquitination assay

S2 cells were transiently transfected with the indicated plasmid combinations. 30 hr post-transfection, cells were treated with 50 μM MG132 for 6 hr. Proteins were then immunoprecipitated and analyzed by western blotting.

Protein stability assay

S2 cells were treated with 20 µg/mL of the protein synthesis inhibitor CHX for specified time intervals prior to harvesting.

RNAi assay in S2 cells

Two double-stranded RNAs (dsRNAs) targeting distinct regions of the relevant genes were synthesized using the T7 RiboMAX Express RNAi System. S2 cells were seeded in six-well tissue culture plates and treated with 15 μg of dsRNA in the culture medium, followed by incubation for 24 hr. Expression plasmids were then transiently transfected into the cells, after which an additional 10 μg of dsRNA was added. The cells were cultured for another 36 hr before harvesting. As a negative control, dsRNA targeting the AcGFP gene was used. Templates for dsRNA synthesis were generated by PCR amplification of S2 cell genomic DNA using the primers listed in the Key resources table.

Human cell culture

The human colon cancer cell lines SW480 and HCT116, as well as the human embryonic kidney cell line 293T, were purchased from the American Type Culture Collection (ATCC), authenticated by STR profiling, and tested negative for mycoplasma contamination. These cell lines were cultured in Dulbecco’s Modified Eagle Medium supplemented with 10% FBS, and the cultures were maintained at 37°C with 5% CO2 in a humidified incubator.

Gene knockdown assay

Short hairpin RNA (shRNA) constructs were generated using the lentiviral vector pLKO-CMV-copGFP-puro. Lentiviral particles were produced by co-transfecting each shRNA plasmid together with the packaging plasmids psPAX2 and pMD2.G into 293T cells using Lipofectamine 2000, following the manufacturer’s protocol. SW480 and HCT116 cells were subsequently transduced with the harvested lentiviral supernatants to establish stable cell lines expressing shNC (negative control), shUBE2V1, or shUBE2V2. The shRNA sequences were included in the Key resources table.

Overexpression assay

The lentiviral vector pCDH-CMV was used for gene overexpression, while pMD2.G and psPAX2 served as lentiviral packaging plasmids. Target plasmids, pCDH-CMV-UBE2V1 and pCDH-CMV-UBE2V2, were synthesized by the GENEWIZ company (Suzhou, China). Plasmids were transfected into 293T cells using Lipofectamine 2000 to generate lentiviral particles, according to the manufacturer’s protocol. SW480 and HCT116 cells were then transduced with these lentiviruses to establish stable cell lines expressing UBE2V1 and UBE2V2, respectively. To select for stably transduced cells, the cultures were maintained in medium containing 2 µg/mL puromycin.

Quantitative real-time PCR

Total RNA was extracted using the TriQuick Reagent kit and reverse-transcribed into cDNA using the SPARKscript II All-in-one RT SuperMix kit. Quantitative real-time PCR was performed using the SYBR Green Premix Pro Taq HS qPCR kit. GAPDH was used as the endogenous control for normalization. The relative mRNA levels of target genes were determined using the 2−ΔΔCT method. The primer sequences were listed in the Key resources table.

EdU incorporation assay

Cells were seeded in 24-well plates at a density of 100,000 cells per well. Cell proliferation was assessed using the EdU incorporation assay kit, following the manufacturer’s instructions. Briefly, EdU reagent was added to the culture medium, and cells were incubated for 2 hr to label DNA-synthesizing cells. After incubation, the medium containing EdU was removed, and cells were washed with PBS, fixed with fixative solution for 10 min, and then subjected to a click reaction for fluorescence labeling. Fluorescence microscopy was used to capture images and calculate the percentage of EdU+ cells.

Colony formation assay

Cells were seeded in six-well plates at a density of 500 cells per well and cultured at 37°C in a 5% CO2 incubator for 10 days without medium change. After 10 days, cells were gently washed with PBS to remove non-adherent cells, then stained with 0.5% crystal violet solution (containing 10% methanol and 1% acetic acid) for 15 min. The plates were subsequently rinsed with water to remove excess stain and air-dried. Colonies were photographed and counted using image analysis software.

CCK8 cell viability assay

Cells were seeded in 96-well plates at a density of 2000 cells per well. Cell viability was assessed over 5 days using a CCK8 kit following the manufacturer’s instructions. Measurements were taken on day 0 (baseline) and daily from day 1 to day 4. At each time point, 10 µL of CCK8 solution was added to each well, and the plates were incubated for 2 hr at 37°C in a humidified incubator. Absorbance at 450 nm was measured using a microplate reader to assess cell viability and proliferation dynamics throughout the experimental period.

Western blotting

Cells were lysed with RIPA buffer containing protease inhibitors, and protein concentrations were determined using a BCA Protein Assay Kit. Protein samples (20 µg per lane) were separated by SDS-PAGE and transferred to PVDF membranes. Membranes were blocked with 5% non-fat milk and incubated overnight at 4°C with primary antibodies. Following washes, membranes were incubated with HRP-conjugated secondary antibodies and developed using ECL. Band intensities were quantified by densitometry.

Immunohistochemistry assay

Tissue sections were deparaffinized with xylene, rehydrated through a graded ethanol series, and subjected to antigen retrieval in citrate buffer (pH 6.0) at 98°C for 10 min. Endogenous peroxidase activity was blocked using 3% hydrogen peroxide, and nonspecific binding was blocked with 5% BSA. Sections were incubated overnight at 4°C with primary antibodies. After incubation with HRP-conjugated secondary antibodies, sections were developed using DAB, counterstained with hematoxylin, and mounted. Images were captured using a light microscope.

Animal experiment

Male Balb/c nude mice (7-week-old) were used to assess the tumorigenic potential of SW480 colon cancer cells. The mice were housed under specific pathogen-free conditions with a 12 hr light/dark cycle and had ad libitum access to food and water. SW480 cells were stably transfected with either the empty vector pCDH-CMV (control), pCDH-CMV-UBE2V1 (UBE2V1-OE), or pCDH-CMV-UBE2V2 (UBE2V2-OE), and 5×106 cells were subcutaneously injected into the right flank of each mouse. Each group consisted of six mice. Tumor growth was monitored approximately 1 week after injection. Tumor volumes were measured every 4 days using calipers and calculated using the formula: volume = length × width2/2. The experiment was terminated when tumors reached ~1000 mm3. The mouse experiments in this study were approved by the Institutional Animal Care and Use Committee at Nankai University (Approval Number: 2025-SYDWLL-000588). All animal procedures were conducted in compliance with the committee’s protocols and under its supervision. Mice were humanely euthanized in accordance with institutional and national ethical guidelines.

Image collection and processing

Fluorescent images were captured using a Zeiss LSM 710 confocal microscope (Carl Zeiss AG, BaWü, GER) and processed with Adobe Photoshop 2022 (San Jose, CA, USA), ImageJ (NIH, Bethesda, MD, USA), and ZEN 3.0 SR imaging software (Carl Zeiss).

Acknowledgements

We gratefully thank Eric H Baehrecke, Michael Buszczak, Zheng Guo, Yuu Kimata, Ruth Lehmann, Erika Matunis, Addgene, ATCC, BDSC, CEMCS, DGRC, GenBank, and THFC for providing antibodies, plasmids, cell lines, and fly strains. This study was supported by National Natural Science Foundation of China (NSFC) grants to Shaowei Zhao (32270841, 32070871), Shian Wu (32170714), and Hongru Zhang (32400759), as well as by a Natural Science Foundation of Tianjin grant (S24ZDD020) to Hongru Zhang.

Appendix 1

Appendix 1—key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Strain, strain background (Mus musculus) Balb/c (CAnN.Cg-Foxn1nu/Crl) nude mice Beijing Vital River Laboratory Animal Technology Co., Ltd. 401
Genetic reagent (Drosophila melanogaster) bam-GAL4-VP16 Chen and McKearin, 2003
Genetic reagent (D. melanogaster) nos-GAL4-VP16 Van Doren et al., 1998
Genetic reagent (D. melanogaster) nos-cas9 Kondo and Ueda, 2013
Genetic reagent (D. melanogaster) FRT2A BDSC 1997
Genetic reagent (D. melanogaster) puc-lacZ Bloomington Drosophila Stock Center (BDSC) 98329
Genetic reagent (D. melanogaster) UAS-bam-RNAi BDSC 33631
Genetic reagent (D. melanogaster) UASp-BicD-RNAi TsingHua Fly Center (THFC) THU4454
Genetic reagent (D. melanogaster) UASp-cdc27-RNAi THFC TH201500102.S
Genetic reagent (D. melanogaster) UASp-Cdk1 BDSC 65396
Genetic reagent (D. melanogaster) UASp-CycA BDSC 85308
Genetic reagent (D. melanogaster) UASp-CycB BDSC 85312
Genetic reagent (D. melanogaster) UASp-dsor1-RNAi THFC THU0677
Genetic reagent (D. melanogaster) UASp-fzr-RNAi THFC TH201500745.S
Genetic reagent (D. melanogaster) UASp-GFP Zhang et al., 2024a
Genetic reagent (D. melanogaster) UASp-GFP-RNAi BDSC 44412, 44415
Genetic reagent (D. melanogaster) UASz-lacZ Zhang et al., 2024b
Genetic reagent (D. melanogaster) UASp-lmgA-RNAi THFC THU4085
Genetic reagent (D. melanogaster) UASp-lok-RNAi THFC TH01867.N
Genetic reagent (D. melanogaster) UASp-mr-RNAi THFC THU5250
Genetic reagent (D. melanogaster) UASp-p53-RNAi THFC THU5318
Genetic reagent (D. melanogaster) UASp-RasG12V Zhang et al., 2024b
Genetic reagent (D. melanogaster) UASp-rl-RNAi THFC THU3530
Genetic reagent (D. melanogaster) UASp-shtd-RNAi THFC TH201500835.S
Genetic reagent (D. melanogaster) UASp-Stg BDSC 58439
Genetic reagent (D. melanogaster) UASp-tefu-RNAi THFC THU5591
Genetic reagent (D. melanogaster) UASp-uev1a-RNAi BDSC 66947
Genetic reagent (D. melanogaster) UASz-flag-RasG12V This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) UASz-UBE2V1 This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) UASz-UBE2V2 This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) UASz-uev1a This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) UASz-Yki3SA Zhang et al., 2024a
Genetic reagent (D. melanogaster) nos-int; attP40 BDSC 79604
Genetic reagent (D. melanogaster) uev1a Δ1 This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) uev1a Δ2 This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) uev1a-flag This paper Construction information described
in the Materials and methods section
Genetic reagent (D. melanogaster) All deficiency Drosophila strains (including 7584) The Core Facility of Drosophila Resource and Technology (CEMCS), Chinese Academy of Sciences (CAS), China The stock numbers are the same as in BDSC
Cell line (D. melanogaster) Schneider 2 (S2) cells Beyotime Biotechnology Cat# C7925, RRID:CVCL_Z232
Cell line (Homo sapiens) 293T cells The American Type Culture Collection (ATCC) Cat# CRL-3216, RRID:CVCL_0063
Cell line (H. sapiens) HCT116 cells ATCC Cat# CCL-247, RRID:CVCL_VU38
Cell line (H. sapiens) SW480 cells ATCC Cat# CCL-228, RRID:CVCL_0546
Transfected construct (H. sapiens) Control shRNA This paper CCTAAGGTTAAGTCGCCCTCG
Transfected construct (H. sapiens) UBE2V1 shRNA #1 This paper CTCGGGCAGATGACATGAAAT
Transfected construct (H. sapiens) UBE2V1 shRNA #2 This paper GCATCACCACAGGCTGGCTCA
Transfected construct (H. sapiens) UBE2V2 shRNA #1 This paper GTCTTAAATCAACAACCTTCT
Transfected construct (H. sapiens) UBE2V2 shRNA #2 This paper GCTCCTCCGTCAGTTAGATTT
Antibody Anti-α-Spectrin (Mouse monoclonal) Developmental Studies Hybridoma Bank (DSHB) RRID:AB_528473 IF (1:100)
Antibody Anti-β-Actin (Mouse monoclonal) Abmart RRID:AB_2936240 WB (1:5000)
Antibody Anti-β-Actin (Mouse monoclonal) Zenbio Cat# 200068-8F10 WB (1:5000)
Antibody Anti-CycA (Rabbit polyclonal) Whitfield et al., 1990 IF (1:1000)
Antibody Anti-Flag (Mouse monoclonal) Sigma Cat# F1804, RRID:AB_262044 IF (1:500)
Antibody Anti-Flag (Mouse monoclonal) Utibody Cat# UM3009 IP (1:200), WB (1:5000)
Antibody Anti-γH2AV (Mouse monoclonal) DSHB PRID: AB_2618077 IF (1:200)
Antibody Anti-HA (Mouse monoclonal) Utibody Cat# UM3004 IP (1:200), WB (1:3000)
Antibody Anti-Myc (Mouse monoclonal) Utibody Cat# UM3011 IP (1:200), WB (1:3000)
Antibody Anti-UBE2V2 (Mouse monoclonal) Santa Cruz Biotechnology Cat# sc-377254 WB (1:2000)
Antibody Anti-α-Tubulin (Rabbit polyclonal) Proteintech Cat# 14555-1-AP WB (1:5000)
Antibody Anti-β-Tubulin (Rabbit polyclonal) Zenbio Cat# 380628 WB (1:5000)
Antibody Anti-CycA (Rabbit polyclonal) Immunoway Cat# YT1167 IF (1:200)
Antibody Anti-Flag (Rabbit monoclonal) Zenbio Cat# R24091 IP (1:200), WB (1:5000)
Antibody Anti-HA (Rabbit monoclonal) Zenbio Cat# 301113 IP (1:200), WB (1:3000)
Antibody Anti-Ki67 (Rabbit polyclonal) Proteintech Cat# 27309-1-AP IF (1:2000)
Antibody Anti-Myc (Rabbit polyclonal) ABclonal Cat# AE009 IP (1:200), WB (1:3000)
Antibody Anti-UBE2V1 (Rabbit polyclonal) Wanleibio Cat# WL04482 WB (1:2000)
Antibody Alexa Fluor 546 goat anti-mouse Invitrogen Cat# A-11030 IF (1:2000)
Antibody HRP Goat anti-Mouse IgG(H+L) SIMUBIOTECH Cat# S2002 IF (1:2000)
Antibody HRP Goat anti-Rabbit IgG(H+L) SIMUBIOTECH Cat# S2001 IF (1:2000)
Recombinant DNA reagent pCDH-CMV Addgene RRID:Addgene_72265
Recombinant DNA reagent pCDH-CMV-UBE2V1 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pCDH-CMV-UBE2V2 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pCFD3 Addgene RRID:Addgene_49410
Recombinant DNA reagent pCFD3-uev1a-gRNA-1 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pLKO-CMV-puro Addgene RRID:Addgene_131700
Recombinant DNA reagent pLKO-CMV-copGFP-puro-shNC This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pLKO-CMV-copGFP-puro-shUBE2V1-#1 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pLKO-CMV-copGFP-puro-shUBE2V1-#2 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pLKO-CMV-copGFP-puro-shUBE2V2-#1 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pLKO-CMV-copGFP-puro-shUBE2V2-#2 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pMD2.G Addgene RRID:Addgene_12259
Recombinant DNA reagent psPAX2 Addgene RRID:Addgene_12260
Recombinant DNA reagent pU6-BbsI-chiRNA Addgene RRID:Addgene_45946
Recombinant DNA reagent pU6-uev1a-gRNA-2 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-attB Drosophila Genomics Resource Center (DGRC) RRID:DGRC_1419
Recombinant DNA reagent pUASt-APC7-Myc This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Flag-ben This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Flag-cycA This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-Ub This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-Ub7KR This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-Ub6KR+K11 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-Ub6KR+K48 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-Ub6KR+K63 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-HA-uev1a This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-APC4 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Cdc16 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Cdc23 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Cdc27 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Fzr This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Fzy This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Ida This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASt-Myc-Mr This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz1.0 DGRC RRID:DGRC_1431
Recombinant DNA reagent pUASz-flag-RasG12V This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz-UBE2V1 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz-UBE2V2 This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz-uev1a This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz-uev1a-donor This paper Construction information described
in the Materials and methods section
Recombinant DNA reagent pUASz-Yki3SA This paper Construction information described
in the Materials and methods section
Sequence-based reagent uev1a#1_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGAACGGAATTTCCGCTTACTG
Sequence-based reagent uev1a#1_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGACGGACCGATGATCATGCC
Sequence-based reagent uev1a#2_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGACACTAAAGATCGAGTGCG
Sequence-based reagent uev1a#2_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGATGCCAGCTTCAGGTTCTC
Sequence-based reagent ben#1_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGACCACGTCGCATCATCAAG
Sequence-based reagent ben#1_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGAAGTCTTCGACGGCATATTTC
Sequence-based reagent ben#2_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGACAGATCCGGACCATATTG
Sequence-based reagent ben#2_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGATCAGTCTTCGACGGCATATTTC
Sequence-based reagent cdc27#1_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGATCGCCCAGGATCTGATTAAC
Sequence-based reagent cdc27#1_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGAGCAGCGACAGATCCTTCTTC
Sequence-based reagent cdc27#2_F This paper PCR primers GAATTAATACGACTCACTATAGGGAGAGATGATGGGCAAAAAGCTAAAG
Sequence-based reagent cdc27#2_R This paper PCR primers GAATTAATACGACTCACTATAGGGAGACCATCGGCCGATTGTTTC
Sequence-based reagent AcGFP-F This paper PCR primers GAATTAATACGACTCACTATAGGGAGATGCACCACCGGCAAGCTGCCTG
Sequence-based reagent AcGFP-R This paper PCR primers GAATTAATACGACTCACTATAGGGAGAGGCCAGCTGCACGCTGCCATC
Sequence-based reagent GAPDH-F This paper PCR primers ACAACTTTGGTATCGTGGAAGG
Sequence-based reagent GAPDH-R This paper PCR primers GCCATCACGCCACAGTTTC
Sequence-based reagent UBE2V1-F This paper PCR primers CGGGCTCGGGAGTAAAAGTC
Sequence-based reagent UBE2V1-R This paper PCR primers AGGCCCAATTATCATCCCTGT
Sequence-based reagent UBE2V2-F This paper PCR primers TGGACAGGCATGATTATTGGGC
Sequence-based reagent UBE2V2-R This paper PCR primers CTAACACTGGTATGCTCCGGG
Commercial assay or kit BCA Protein Assay Kit Beyotime Biotechnology Cat# P0012
Commercial assay or kit CCK8 Kit APExBIO Cat# K1018
Commercial assay or kit EdU Incorporation Assay Kit Beyotime Biotechnology Cat# C0075
Commercial assay or kit SPARKscript II All-in-one RT SuperMix kit SparkJade Cat# AG0305-C
Commercial assay or kit SYBR Green Premix Pro Taq HS qPCR kit ACCURATE BIOLOGY Cat# AG11701-S
Commercial assay or kit T7 RiboMAX Express RNAi System Promega Cat# P1700
Commercial assay or kit TriQuick Reagent kit Solarbio Cat# R1100
Chemical compound, drug Chloroquine (CQ) Selleck Cat# S6999
Chemical compound, drug Cycloheximide (CHX) MCE Cat# HY-12320
Chemical compound, drug MG132 Selleck Cat# S2619
Chemical compound, drug Protein G Sepharose Cytiva Cat# 17061801
Chemical compound, drug Puromycin Solarbio Cat# P8230
Software, algorithm Adobe Photoshop 2022 San Jose, CA, USA RRID:SCR_014199
Software, algorithm ImageJ NIH RRID:SCR_003070
Software, algorithm GraphPad Prism GraphPad Software, Inc RRID:SCR_002798
Other DMSO Macklin Cat# D6258
Other Dulbecco’s Modified Eagle Medium Gibco Cat# C11995500BT
Other Fetal Bovine Serum (FBS) Lonsera Cat# S711-001S
Other Insect Culture Medium Union Cat# UK1000
Other Lipofectamine 2000 Thermo Fisher 11668027

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Hongru Zhang, Email: hrzhang@nankai.edu.cn.

Shian Wu, Email: wusa@nankai.edu.cn.

Shaowei Zhao, Email: swzhao@nankai.edu.cn.

Erika A Bach, NYU Grossman School of Medicine, United States.

Lynne-Marie Postovit, Queens University, Canada.

Funding Information

This paper was supported by the following grants:

  • National Natural Science Foundation of China 32270841 to Shaowei Zhao.

  • National Natural Science Foundation of China 32070871 to Shaowei Zhao.

  • National Natural Science Foundation of China 32170714 to Shian Wu.

  • National Natural Science Foundation of China 32400759 to Hongru Zhang.

  • Natural Science Foundation of Tianjin S24ZDD020 to Hongru Zhang.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Software, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Software, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Software, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Software, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Methodology, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Writing – review and editing.

Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – review and editing.

Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Project administration, Writing – review and editing.

Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing.

Ethics

The mouse experiments in this study were approved by the Institutional Animal Care and Use Committee at Nankai University (Approval Number: 2025-SYDWLL-000588). All animal procedures were conducted in compliance with the committee's protocols and under its supervision. Mice were humanely euthanized in accordance with institutional and national ethical guidelines.

Additional files

MDAR checklist
Source data 1. Screen results.
elife-107104-data1.xlsx (17.2KB, xlsx)
Source data 2. All genotypes.
elife-107104-data2.xlsx (12.9KB, xlsx)
Source data 3. Raw quantification data.
elife-107104-data3.xlsx (85.4KB, xlsx)

Data availability

The results of the deficiency screening are provided in Source data 1. All genotypes are listed in Source data 2, and the raw quantification data can be found in Source data 3.

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eLife Assessment

Erika A Bach 1

This valuable study examines the role of E2 ubiquitin enzyme, Uev1a in tissue resistance to oncogenic RasV12 in Drosophila melanogaster polyploid germline cells and human cancer cell lines. The solid evidence suggests that Uev1a works with the E3 ligase APC/C to degrade Cyclin A. This work would be of interest to researchers in germline biology and cancer.

Reviewer #1 (Public review):

Anonymous

Summary:

This study uncovers a protective role of the ubiquitin-conjugating enzyme variant Uev1A in mitigating cell death caused by over-expressed oncogenic Ras in polyploid Drosophila nurse cells and by RasK12 in diploid human tumor cell lines. The authors previously showed that over-expression of oncogenic Ras induces death in nurse cells, and now they perform a deficiency- screen for modifiers. They identified Uev1A as a suppressor of this Ras-induced cell death. Using genetics and biochemistry, the authors found that Uev1A collaborates with the APC/C E3 ubiquitin ligase complex to promote proteasomal degradation of Cyclin A. This function of Uev1A appears to extend to diploid cells, where its human homologs UBE2V1 and UBE2V2 suppress oncogenic Ras-dependent phenotypes in human colorectal cancer cells in vitro and in xenografts in mice.

Strengths:

(1) Most of the data is supported by sufficient sample size and appropriate statistics.

(2) Good mix of genetics and biochemistry.

(3) Generation of new transgenes and Drosophila alleles that will be beneficial for the community.

Comments on revisions:

The authors have greatly improved the manuscript and satisfactorily addressed all of my concerns.

Reviewer #2 (Public review):

Anonymous

Summary:

The authors performed a genetic screen using deficiency lines and identified Uev1a as a factor that protects nurse cells from RasG12V-induced cell death. According to a previous study from the same lab, this cell death is caused by aberrant mitotic stress due to CycA upregulation (Zhang et al.). This paper further reveals that Uev1a forms a complex with APC/C to promote proteasome-mediated degradation of CycA.

In addition to polyploid nurse cells, the authors also examined the effect of RasG12V-overexpression in diploid germline cells, where RasG12V-overexpression triggers active proliferation not cell death. Uev1a was found to suppress its overgrowth as well.

Finally, the authors show that the overexpression of the human homolog, UBE2V1 and UBE2V2, suppresses tumor growth in human colorectal cancer xenografts and cell lines. Notably, these genes' expression correlates with the survival of colorectal cancer patients carrying Ras mutation.

Strength:

This paper presents a significant finding that UBE2V1/2 may serve as a potential therapy for cancers harboring Ras mutations. The authors propose a fascinating mechanism in which Uev1a forms a complex with APC/C to inhibit aberrant cell cycle progression.

Comments on revisions:

The authors have addressed several of the major concerns, including the addition of new data and improved figure presentation. However, some issues remain insufficiently resolved, particularly regarding control reuse (Major Comment 3) and experimental interpretation (Major Comments 5 and 8).

Regarding Major Comment 5, the authors state that UAS copy number affects the frequency of egg chamber degradation in Fig. 2D, and thus explains the reduced phenotype in RasG12V + GFP-RNAi compared to RasG12V alone. However, this explanation is not consistent with other data in the manuscript. UAS-RasG12V combined with UAS-lacZ in Fig. 2G shows a phenotype comparable to UAS-RasV12 alone, despite also increasing the UAS copy number. This suggests that the effect is not simply due to copy number.

I understand that the authors used UAS-RasG12V + GFP-RNAi as a control for the RNAi experiments and UAS-RasG12V + lacZ for the overexpression experiments. I suggest examining the phenotype frequency of UAS-RasG12V + UAS-GFP, to figure the reason out. Overall, these results indicate that there is a spectrum of phenotype frequencies, and therefore appropriate controls should be included for each experiment rather than reusing the same dataset across different experiments, as also noted in Major Comment 3.

eLife. 2026 Mar 25;14:RP107104. doi: 10.7554/eLife.107104.3.sa3

Author response

Qi Zhang 1, Yunfeng Wang 2, Xueli Fu 3, Ziguang Wang 4, Yang Zhang 5, Lizhong Yan 6, Yuejia Wang 7, Muhan Yang 8, Dongze Song 9, Ruixing Zhang 10, Hongru Zhang 11, Shian Wu 12, Shaowei Zhao 13

The following is the authors’ response to the original reviews.

eLife Assessment

This valuable study examines the role of E2 ubiquitin enzyme, Uev1a in tissue resistance to oncogenic RasV12 in Drosophila melanogaster polyploid germline cells and human cancer cell lines. The incomplete evidence suggests that Uev1a works with the E3 ligase APC/C to degrade Cyclin A, and the strength of evidence could be increased by addressing the expression of CycA in the ovaries and the uev1a loss of function in human cancer cells. This work would be of interest to researchers in germline biology and cancer.

Thank you for your valuable assessment. The requested data on CycA expression (Figure 4E-G) and uev1a loss-of-function in human cancer cells (Figure 8 and Figure 8-figure supplement 2) have been added to the revised manuscript.

Public Reviews:

Reviewer #1 (Public review):

Summary:

This study uncovers a protective role of the ubiquitin-conjugating enzyme variant Uev1A in mitigating cell death caused by over-expressed oncogenic Ras in polyploid Drosophila nurse cells and by RasK12 in diploid human tumor cell lines. The authors previously showed that overexpression of oncogenic Ras induces death in nurse cells, and now they perform a deficiency screen for modifiers. They identified Uev1A as a suppressor of this Ras-induced cell death. Using genetics and biochemistry, the authors found that Uev1A collaborates with the APC/C E3 ubiquitin ligase complex to promote proteasomal degradation of Cyclin A. This function of Uev1A appears to extend to diploid cells, where its human homologs UBE2V1 and UBE2V2 suppress oncogenic Ras-dependent phenotypes in human colorectal cancer cells in vitro and in xenografts in mice.

Strengths:

(1) Most of the data is supported by a sufficient sample size and appropriate statistics.

(2) Good mix of genetics and biochemistry.

(3) Generation of new transgenes and Drosophila alleles that will be beneficial for the community.

We greatly appreciate your comments.

Weaknesses:

(1) Phenotypes are based on artificial overexpression. It is not clear whether these results are relevant to normal physiology.

Downregulation of Uev1A, Ben, and Cdc27 together significantly increased the incidence of dying nurse cells in normal ovaries (Figure 5-figure supplement 2), indicating that the mechanism we uncovered also protects nurse cells from death during normal oogenesis.

(2) The phenotype of "degenerating ovaries" is very broad, and the study is not focused on phenotypes at the cellular level. Furthermore, no information is provided in the Materials and Methods on how degenerating ovaries are scored, despite this being the most important assay in the study.

Thank you for pointing out this issue. We quantified the phenotype of nurse cell death using “degrading/total egg chambers per ovary”, not “degenerating ovaries”. Normal nurse cell nuclei exhibit a large, round morphology in DAPI staining (see the first panel in Figure 1D). During early death, they become disorganized and begin to condense and fragment (see the second panel in Figure 1D). In late-stage death, they are completely fragmented into small, spherical structures (see the third panel in Figure 1D), making cellular-level phenotypic quantification impossible. Since all nurse cells within the same egg chamber are interconnected, their death process is synchronous. Thus, quantifying the phenotype at the egg-chamber level is more practical than at the cellular level. We have added the description of this death phenotype and its quantification to the main text (Lines 104-108).

(3) In Figure 5, the authors want to conclude that uev1a is a tumor-suppressor, and so they over-express ubev1/2 in human cancer cell lines that have RasK12 and find reduced proliferation, colony formation, and xenograft size. However, genes that act as tumor suppressors have loss-of-function phenotypes that allow for increased cell division. The Drosophila uev1a mutant is viable and fertile, suggesting that it is not a tumor suppressor in flies. Additionally, they do not deplete human ubev1/2 from human cancer cell lines and assess whether this increases cell division, colony formation, and xenograph growth.

We apologize for any misleading description. We aimed to demonstrate that UBE2V1/2, like Uev1A in Drosophilanos>RasG12V+bam-RNAi” germline tumors, suppress oncogenic KRAS-driven overgrowth in diploid human cancer cells. Importantly, this function of Uev1A and UBE2V1/2 is dependent on Ras-driven tumors; there is no evidence that they act as broad tumor suppressors in the absence of oncogenic Ras. Drosophila uev1a mutants were lethal, not viable (see Lines 135-137), and germline-specific knockdown of uev1a (nos>uev1a-RNAi) caused female sterility without inducing tumors. These findings suggest that Uev1A lacks tumor-suppressive activity in the Drosophila female germline in the absence of Ras-driven tumors. We have revised the manuscript to prevent misinterpretation. Furthermore, we have added data demonstrating that the combined knockdown of UBE2V1 and UBE2V2 significantly promotes the growth of KRAS-mutant human cancer cells, as suggested (Figure 8 and Figure 8-figure supplement 2).

(4) A critical part of the model does not make sense. CycA is a key part of their model, but they do not show CycA protein expression in WT egg chambers or in their over-expression models (nos.RasV12 or bam>RasV12). Based on Lilly and Spradling 1996, Cyclin A is not expressed in germ cells in region 2-3 of the germarium; whether CycA is expressed in nurse cells in later egg chambers is not shown but is critical to document comprehensively.

We appreciate your critical comment. CycA is a key cyclin that partners with Cdk1 to promote cell division (Edgar and Lehner, 1996). Notably, nurse cells are post-mitotic endocycling cells (Hammond and Laird, 1985) and typically do not express CycA (Lilly and Spradling, 1996) (see the last sentence, page 2518, paragraph 3 in this 1996 paper). However, their death induced by oncogenic RasG12V is significantly suppressed by monoallelic deletion of either cycA or cdk1 (Zhang et al., 2024). Conversely, ectopic CycA expression in nurse cells triggers their death (Figure 4C, D). These findings suggest that polyploid nurse cells exhibit high sensitivity to aberrant division-promoting stress, which may represent a distinct form of cellular stress unique to polyploid cells. In the revised manuscript, we have provided the CycA-staining data, comparing its expression in normal nurse cells versus cells undergoing oncogenic RasG12V-induced death (Figure 4E-G).

(5) The authors should provide more information about the knowledge base of uev1a and its homologs in the introduction.

Thank you for your suggestion. In the revised introduction, we have provided a more detailed description of Uev1A (Lines 72-79). Additionally, we have introduced its human homologs, UBE2V1 and UBE2V2, in the main text (Lines 143-145).

Reviewer #2 (Public review):

Summary:

The authors performed a genetic screen using deficiency lines and identified Uev1a as a factor that protects nurse cells from RasG12V-induced cell death. According to a previous study from the same lab, this cell death is caused by aberrant mitotic stress due to CycA upregulation (Zhang et al.). This paper further reveals that Uev1a forms a complex with APC/C to promote proteasome-mediated degradation of CycA.

In addition to polyploid nurse cells, the authors also examined the effect of RasG12V-overexpression in diploid germline cells, where RasG12V-overexpression triggers active proliferation, not cell death. Uev1a was found to suppress its overgrowth as well.

Finally, the authors show that the overexpression of the human homologs, UBE2V1 and UBE2V2, suppresses tumor growth in human colorectal cancer xenografts and cell lines. Notably, the expression of these genes correlates with the survival of colorectal cancer patients carrying the Ras mutation.

Strength:

This paper presents a significant finding that UBE2V1/2 may serve as a potential therapy for cancers harboring Ras mutations. The authors propose a fascinating mechanism in which Uev1a forms a complex with APC/C to inhibit aberrant cell cycle progression.

We greatly appreciate your comments.

Weakness:

The quantification of some crucial experiments lacks sufficient clarity.

Thank you for highlighting this issue. We have provided more details regarding the quantification data in the revised manuscript.

References

Edgar, B.A., and Lehner, C.F. (1996). Developmental control of cell cycle regulators: a fly's perspective. Science 274, 1646-1652.

Hammond, M.P., and Laird, C.D. (1985). Chromosome structure and DNA replication in nurse and follicle cells of Drosophila melanogaster. Chromosoma 91, 267-278.

Lilly, M.A., and Spradling, A.C. (1996). The Drosophila endocycle is controlled by Cyclin E and lacks a checkpoint ensuring S-phase completion. Genes Dev 10, 2514-2526.

Zhang, Q., Wang, Y., Bu, Z., Zhang, Y., Zhang, Q., Li, L., Yan, L., Wang, Y., and Zhao, S. (2024). Ras promotes germline stem cell division in Drosophila ovaries. Stem Cell Reports 19, 1205-1216.

Recommendations for the authors:

Reviewer #1 (Recommendations for the authors):

(1) The figure legends insufficiently describe the figures. One example is Figure 3, where there are no details in the figure legend about what conditions apply to each panel and each lane of the gels.

For clarity and brevity, detailed experimental conditions are described in the Materials and Methods section. Figure legends therefore focus on summarizing the key findings. Thank you for your understanding!

(2) The font size on the figure is too small.

Thank you for your constructive suggestion. In response, we have enlarged all font sizes to improve readability.

(3) There are places where the authors overstate their results, and there are issues with the clarity of the text:

(3a) Lines 170: "excessive" is not appropriate. Their prior study showed a mild increase in proliferation.

“Excessive” has been removed in the revised manuscript (Lines 215-216).

(3b) Line 187-8: The authors should restate this sentence. Here's a possibility. Over-expression of Uev1a suppressed the phenotypes caused by CycA over-expression.

This sentence has been restated as “Notably, this cell death was suppressed by co-overexpression of CycA and Uev1A, indicating a genetic interaction between them”. (Lines 229-231).

(3c) Lines 266-7: The properties of Uev1a (ie, lacking a conserved Cys) should be in the introduction.

This information has been added to the revised introduction (Lines 74-76).

(3d) Line 318: "markedly" is an overstatement of the prior results.

Our quantification data revealed that “nos>RasG12V; bam-/-” ovaries are three times larger than “nos>GFP; bam-/-” control ovaries (see Figure 4A-C in Zhang et al., Stem Cell Reports 19, 1205-1216). Given this substantial difference, we think that using "markedly" is not an overstatement.

(4) Data not shown occurs in a few places in the text. Given the ability to supply supplemental information in eLife preprints, these data should be shown.

Thanks for your suggestion. All “not shown” data have been added to the revised manuscript.

Reviewer #2 (Recommendations for the authors):

Major Comments

(1) Cyclin A (CycA) is a key player in this study, but the authors do not provide evidence showing the upregulation of CycA following Ras overexpression in either polyploid or diploid cells. Data on CycA expression should be included.

Thank you for your constructive suggestion. These data have been added to the revised manuscript (Figure 4E-G).

(2) DNA replication stress, cellular senescence, and cell death should be assessed under Ras overexpression (RasOE) and RasOE + Uev1A RNAi conditions to support the model proposed in Figure 4F.

We apologize for any confusion caused by our initial model. We do not have evidence that DNA replication stress and cellular senescence occur under these conditions. Cell death can be readily detected through the presence of fragmented nuclei and condensed DNA (see Figure 1D). The model has been updated accordingly (Figure 9E).

(3) Appropriate controls should be performed alongside the experimental sets. The same nos>Ras+GFPi data set was repeatedly used in Figures 1I, 2B, 2H, and Figures 2, S2B, which is not ideal.

All these experiments were performed under identical conditions. Therefore, we deem it appropriate to use the same control data across these analyses.

(4) Overall, the microscopic images are too small and hard to see.

Thank you for raising this important point. In the revised manuscript, all images and the font size on figures have been enlarged for improved clarity.

(5) Figure 1H

Why is the frequency of egg chamber degradation quite less in nos>RasG12V+GFP-RNAi (about 40%) than nos > RasG12V (about 80%)? And the authors do not show that there is a significant difference between those two conditions, although it should be there. We will need the explanation from the authors on why there is a difference here.

These overexpression experiments were conducted using the GAL4/UAS system. While both “nos>RasG12V+GFP-RNAi” and “nos>RasG12V” contain a single nos-GAL4 driver, they differ in UAS copy number: the former incorporates two UAS elements compared to only one in the latter (see the detailed genotypes in Source data 2). These results demonstrate that UAS copy number impacts experimental outcomes in our system.

In the previous paper Zhang et al. (2024), Figure 7H shows that the frequency of egg chambers in nos>RasG12V is 33%, although this paper shows it as about 80%. There seems to be a difference in flies' age (previous paper: 7d, this paper: 3d), but this data raises the question of why nos>RasG12V shows more egg chamber degradation this time.

We greatly appreciate your careful observation. The nurse-cell-death phenotype exhibits a spectrum from mild to severe manifestations [see Figure 1D and our response to weekness (2) in Reviewer #1’s public reviews]. While our 2024 paper exclusively quantified egg chambers with severe phenotypes as degrading, the current study included both mild and severe cases in this classification. We do not think fly age could account for this substantial phenotypic difference. A detailed description of the nurse-cell-death phenotype and its quantification have been added to the revised manuscript (Lines 104-108).

In the following experiments, only nos>RasG12V+GFP-RNAi is used as a control (Figures 2B, H, S2B). I wonder if these results would give us a different conclusion if nos>RasG12V were used as a control.

As explained above, the UAS copy number does matter in our analyses, so it is important to keep them identical for comparison.

(6) In the abstract, the authors mention that uev1a is an intrinsic factor to protect cells from RasG12V-induced cell death. RasG12V does not induce much cell death of cystocytes with bam-gal4, whereas it induces a lot of nurse cells' death. Does it mean the intrinsic expression level of uev1a is low in nurse cells (or polyploid cells) compared to cystocytes (or diploid cells)?

Overexpression of RasG12V driven by bam-GAL4 exhibited only minimal nurse cell death (Figure 1D, E). Additionally, Uev1A exhibited low intrinsic expression levels in both cystocytes and nurse cells (Figure 3E and Figure 5-figure supplement 1).

(7) Is uev1a-RNAi alone sufficient to induce egg chamber degradation? Or does it have any effect on ovarian development? (Related to question #1 in minor comments)

While nos>uev1a-RNAi resulted in female sterility, it alone was insufficient to induce egg chamber degradation. However, simultaneous downregulation of Uev1A, Ben, and Cdc27 triggered significant egg chamber degradation (Figure 5-figure supplement 2).

(8) Which stages of egg chambers get degraded with RasG12V induction?

This is a good question. In our analyses, we noted that degrading egg chambers exhibited considerable size variability (Figure 1D). Because degradation disrupts normal morphological cues, precise staging of these egg chambers is nearly impossible.

(9) I suggest testing the cellular senescence marker as well if the authors mention that CycA-degradation by Uev1a-APC/C complex prevents cellular senescence induced by RasG12V in a schematic image of Figure 4 (e.g., Dap/p21, SA-β-gal).

As addressed in our response to your Major Comment (2), we lacked experimental evidence to support cellular senescence in this context. We have therefore revised the model accordingly (Figure 9E). While this study focuses specifically on cell death, investigating potential roles of cellular senescence remains an important direction for future research. Thank you for your suggestion!

Minor Comments

(1) Figure 1D: Df#7584

It seems that the late-stage egg chamber is missing in this condition. Why does this occur without egg chamber degradation? Is there a possibility that we do not see egg chamber degradation because this deficiency line does not have a properly developed egg chamber that can have a degradation?

While this image represents only a single sample, we have confirmed the presence of late-stage egg chambers in other samples. If “Df#7584/+” females were unable to support late-stage egg chamber development, complete sterility would be expected due to the lack of mature eggs. However, as shown in this image (Figure 1D), the ovary contains mature eggs, and the “Df#7584/+” fly strain remains fertile.

(2) Based on the results that DDR signaling functions as keeping egg chambers from degradation, the authors may be better to check the DNA-damage markers in nos>RasG12V, nos>RasG12V +uev1a. (e.g. γ-H2AX)

Thank you for your constructive recommendation. These data have been added to the revised manuscript (Figure 3C).

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 6—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
    Figure 6—source data 2. Original files for western blot analysis.
    Figure 6—figure supplement 1—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
    Figure 6—figure supplement 1—source data 2. Original files for western blot analysis.
    Figure 6—figure supplement 2—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
    Figure 6—figure supplement 2—source data 2. Original files for western blot analysis.
    Figure 9—figure supplement 1—source data 1. PDF files that contain original western blots indicating the relevant bands and treatments.
    Figure 9—figure supplement 1—source data 2. Original files for western blot analysis.
    MDAR checklist
    Source data 1. Screen results.
    elife-107104-data1.xlsx (17.2KB, xlsx)
    Source data 2. All genotypes.
    elife-107104-data2.xlsx (12.9KB, xlsx)
    Source data 3. Raw quantification data.
    elife-107104-data3.xlsx (85.4KB, xlsx)

    Data Availability Statement

    The results of the deficiency screening are provided in Source data 1. All genotypes are listed in Source data 2, and the raw quantification data can be found in Source data 3.


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