Faculty Bibliography

Cyclin D-CDK4/6 complexes drive cell-cycle entry through an RB-E2F-dependent transcriptional program, but how they coordinate proliferation with the membrane and organelle protein supply required for growth is unclear. We identify DeSI1 as a cyclin D-CDK4/6 substrate whose phosphorylation at S25 converts a latent homodimer into an active monomeric deubiquitylase that recognizes hydrophobic proteins such as those bearing transmembrane domains and mitochondrial targeting sequences. Phosphorylated, active DeSI1 extends the lifetime of newly synthesized hydrophobic proteins that support membrane and mitochondrial capacity. Constitutive DeSI1 activation uncouples this proteostatic program from metabolic supply, creating a cytidine-nucleotide supply-demand imbalance associated with impaired CTP-dependent phospholipid homeostasis, cardiolipin depletion, and mitochondrial decompensation -defects that cytidine reverses. In mice, constitutive DeSI1 activation causes progressive cerebellar degeneration with membrane-protein accumulation, respiratory-chain loss, and phospholipid depletion. These findings define a post-translational mechanism coupling cell-cycle entry to membrane and mitochondrial capacity, and reveal the cost of uncoupling this program from its metabolic support.

Somatic mutations rewire the ubiquitin-proteasome system (UPS) to support tumor growth, but the proteome-wide consequences of cancer-driver alterations on UPS composition remain incompletely understood. Using harmonized proteogenomic data from up to 11 CPTAC cohorts, we performed an integrated pan-cancer analysis of UPS protein dysregulation, prognostic associations, and mutation-driven remodeling. We show that mRNA poorly predicts UPS protein abundance, that a defined set of E3 ligases is recurrently dysregulated across cancers, and that somatic mutations (most strikingly TP53 loss) produce coherent UPS protein-quantitative trait locus (pQTL) signatures. Two case studies (UBR5 and TRIM28) illustrate orthogonal modes of UPS rewiring: a mutation-driven axis in which TP53-mutant tumors elevate UBR5 to support replication stress tolerance, and a lineage-driven axis in which TRIM28 engages tissue-restricted regulatory networks with opposing prognostic effects in glioblastoma versus head and neck cancer. Each axis exposes context-specific therapeutic vulnerabilities, including sensitivity to DNA damage response inhibitors (UBR5-high) and lineage-specific drug responses (TRIM28-high). Together, these analyses define a mechanistic framework for how cancer-driver mutations reshape proteostasis through the UPS and nominate mutation- and lineage-defined dependencies for precision degrader therapy. The harmonized pan-tissue atlas and the UbiDash interactive resource that underpin parts of this analysis are reported in our companion paper [1].

Protein-protein interactions (PPIs) are fundamental to cellular signaling networks, yet many remain undetected due to technical limitations of individual affinity purification approaches. To address this, we systematically mapped the interaction landscapes of six regulatory proteins involved in cell proliferation, immunity, and inflammation, including three transcription factors (TFs) and three kinases. We implemented an integrated proteomics workflow that combined four complementary affinity purification strategies: native immunoprecipitation, two crosslinking-assisted capture methods, and proximity labeling. Combining these approaches revealed distinct yet overlapping interaction profiles, uncovered numerous previously unreported interactors not reliably detected by individual methods, and robustly recovered known interactions while substantially extending PPI networks. Despite method-specific differences at the protein level, functional enrichment analyses showed strong convergence on coherent biological pathways. Biochemical approaches validated most of the previously unreported interactions, including putative weak and transient complexes stabilized by crosslinking. Functional assays revealed a previously unrecognized physical interaction between FOXA1 and PBX1 TFs and demonstrated their cooperative regulation of transcriptional programs and cell fitness in estrogen receptor (ER) positive breast cells. We propose that the FOXA1-PBX1 complex could represent a higher-order regulatory node integrating chromatin accessibility and ER-driven transcriptional output.

Targeted protein degradation repurposes endogenous E3 ubiquitin ligases to eliminate disease-driving proteins, yet the ligase toolkit deployed clinically remains narrow and largely tissue-agnostic. To support rational expansion of this toolkit, we built a harmonized pan-tissue proteomic atlas of the ubiquitin-proteasome system (UPS) by integrating four major resources: (1) CPTAC tumor and normal-adjacent tissues, (2) PRIDE healthy tissues, (3) the Pan-Cancer Proteome Atlas (TPCPA), and (4) the Cancer Cell Line Encyclopedia (CCLE). The resulting atlas spans 20 distinct tissue contexts and quantifies 5998 proteins, including 473 UPS components and 181 E3 ligases. Cross-resource validation confirmed successful harmonization while maintaining biological signal. We then derived a sample-level relative rank score (RRS) for every quantified UPS protein and identified 139 E3 ligases (of 181 detected) as being significantly tissue- or tumor-specific, including XIAP in lung cancer, KLHL7 in female-specific malignancies, and FBXL18 in head-and-neck and brain tumors. To enable broad accessibility, we developed UbiDash ( https://ruggleslab.shinyapps.io/UbiDash/ ), an interactive R Shiny platform that supports queries of UPS expression, mutation effects, protein co-regulation, and clinical associations. Together, the atlas and UbiDash provide a tissue-aware framework for ligase prioritization and rational degrader design that complements the mechanistic mutation- and lineage-driven UPS analyses described in our companion manuscript [1].

To define and systematically characterize the human E3 ubiquitin ligase (E3) landscape, we generated the E3-ome, a compendium of E3s encoded by the human genome. The E3-ome integrates experimental data, bioinformatics, and published research, revealing 672 high-confidence E3s. We standardized E3 classifications to create a unified framework for annotation and comparative analysis. The E3-ome identified several previously unrecognized domains, motifs, E3 candidates, and relationships, expanding the diversity of E3s. Furthermore, the E3-ome mapped the spatial and physiological organization of E3s across human tissues and cell types, revealing context-dependent E3s. Genetic analyses identified disease-associated variants across the E3-ome, linking E3s to diverse human pathologies. Together, these analyses define the human E3 landscape at high resolution and deliver a foundational resource to drive mechanistic and therapeutic discovery.

Mitotic surveillance pathways monitor the duration of mitosis (M phase) in the cell cycle. Prolonged M phase, caused by spindle attachment defects or microtubule-targeting drugs, triggers formation of the ternary 'mitotic stopwatch pathway' complex (MSP) consisting of 53BP1, USP28, and p53. This complex stabilizes p53, leading to cell cycle arrest or apoptosis in daughter cells. In cancers that are resistant to paclitaxel, a microtubule-targeting agent, cells bypass mitotic surveillance activation, allowing unchecked proliferation, although the underlying mechanisms remain poorly understood. Here, we identify GMCL1 as a key negative regulator of MSP signaling. We show that 53BP1 physically interacts with GMCL1, but not its paralog GMCL2, and we map their interaction domains. CRL3^GMCL1 functions as a ubiquitin ligase that targets 53BP1 for degradation during the M phase, thereby reducing p53 accumulation in daughter cells. Depletion of GMCL1 inhibits cell cycle progression upon release from prolonged mitotic arrest, a defect that is rescued by co-silencing 53BP1 or USP28. Moreover, GMCL1 depletion sensitizes cancer cells to paclitaxel in a p53-dependent manner. Together, our findings support a model in which dysregulated CRL3^GMCL1-mediated degradation of 53BP1 prevents proper MSP function, leading to p53 degradation and continued proliferation. Targeting GMCL1 may, therefore, represent one possible avenue for addressing paclitaxel resistance in cancer cells with functional p53.

The cellular networks that maintain genome stability encompass numerous pathways involved in all aspects of nucleic acid metabolism. Through bioinformatic analysis, we identified the Zinc Finger CCCH-Type Containing 4 protein (ZC3H4), a suppressor of noncoding RNA (ncRNA) production, as a pivotal player in this system. Experimentally, ZC3H4 deficiency led to increased DNA damage, abnormal mitosis, and cellular senescence. Biochemical analysis and super-resolution microscopy revealed that the loss of ZC3H4 increased replication stress (RS)-a major driver of genome instability-by inducing a hypertranscription state that promoted R loop formation and transcription-replication conflicts (TRCs), both of which drive RS. Further bioinformatic analysis demonstrated that ZC3H4 preferentially binds to genomic regions prone to TRCs and R loops, where it suppresses ncRNA bursts, functioning as part of the Restrictor complex. Our findings identify ZC3H4 as a crucial factor in maintaining genome integrity, strategically positioned at the critical intersection of DNA and RNA synthesis.

DNA double-strand breaks (DSBs) are harmful lesions and major sources of genomic instability. Studies have suggested that DSBs induce local transcriptional silencing that consequently promotes genomic stability. Several factors have been proposed to actively participate in this process, including Ataxia-telangiectasia mutated (ATM) and Polycomb repressive complex 1 (PRC1). Here, we found that disrupting PRC1 clustering disrupts DSB-induced gene silencing. Interactome analysis of PHC2, a PRC1 subunit that promotes the PRC1 clustering, found several nucleoporins found in the nuclear pore complex (NPC). Similar to PHC2, depleting the nucleoporins also disrupted the DSB-induced gene silencing. We found that some of these nucleoporins, such as NUP107 and NUP43, which are members of the Y-complex of NPC, localize to DSB sites. The presence of nucleoporins and PHC2 at DSB regions was interdependent, suggesting that they act cooperatively in the DSB-induced gene silencing. We further found two structural components within NUP107 to be necessary for the transcriptional repression at DSBs: ATM/ Ataxia telangiectasia and Rad3-related-mediated phosphorylation at the Serine37 residue within the N-terminal disordered tail and the NUP133-binding surface at the C-terminus. These results provide a functional interplay among nucleoporins, ATM, and the Polycomb proteins in the DSB metabolism and underscore their emerging roles in genome stability maintenance.

In healthy cells, cyclin D1 is expressed during the G1 phase of the cell cycle, where it activates CDK4 and CDK6. Its dysregulation is a well-established oncogenic driver in numerous human cancers. The cancer-related function of cyclin D1 has been primarily studied by focusing on the phosphorylation of the retinoblastoma (RB) gene product. Here, using an integrative approach combining bioinformatic analyses and biochemical experiments, we show that GTSE1 (G-Two and S phases expressed protein 1), a protein positively regulating cell cycle progression, is a previously unrecognized substrate of cyclin D1-CDK4/6 in tumor cells overexpressing cyclin D1 during G1 and subsequent phases. The phosphorylation of GTSE1 mediated by cyclin D1-CDK4/6 inhibits GTSE1 degradation, leading to high levels of GTSE1 across all cell cycle phases. Functionally, the phosphorylation of GTSE1 promotes cellular proliferation and is associated with poor prognosis within a pan-cancer cohort. Our findings provide insights into cyclin D1's role in cell cycle control and oncogenesis beyond RB phosphorylation.