Biology subjects

Gingras, A.-C.

Publications and source records attributed to Gingras, A.-C..

At least 19 recordsLinked to original sources

bioRxiv2026

TurboID proximity labeling reveals protein interaction networks for germline Argonautes

In the germline, small RNA-mediated gene regulatory pathways are associated with phase separated condensates known as germ granules across species. Germ granules can be challenging to purify based on their biophysical properties, therefore we used an in vivo proximity labeling approach, TurboID, to define the proximal interaction networks of the germ granule-localized Argonaute proteins: CSR-1, PRG-1/Piwi, PPW-2/WAGO-3, WAGO-1 and WAGO-4, and the nuclear-enriched Argonaute HRDE-1 as a comparator, in C. elegans. We found that although CSR-1 and WAGO-4 bind to the same set of 22G- small RNAs and target an overlapping set of germline genes, they possess distinct proximal interaction networks. Displacement of WAGO-4 from the germ granules highlights distinct interactors involved in chromosome biology and points to a potential nuclear role for WAGO-4. PRG-1/Piwi, WAGO-1, and PPW-2/WAGO-3, act in a common pathway and share an interaction network, while HRDE-1 displays a distinct interaction network that highlights its potential to influence splicing, rather than its widely accepted role in histone modification. Performing TurboID on other sRNA pathway factors, including the RdRP RRF-1 led us to uncover a potential nuclear role for this protein, and overlapping our TurboID data with published proximity labeling data enabled us to identify a core set of eleven mostly uncharacterized proteins that play roles in fertility, germ granule organization, and transgenerational epigenetic inheritance. One of these factors, D2005.4, appears to be a heme-binding germ granule-localized protein with a Tetratricopeptide Repeat Domain that interacts with all germ granule AGOs and may play scaffolding or enzymatic roles in germ granules. Collectively, our work highlights the utility of proximity labelling to uncover insights into AGO and sRNA pathway factor function and identify new factors that could be of importance in germ cell biology.

developmental biology↗

bioRxiv2026

PRMT1 arginine methylation of MCM4 restricts ssDNA gap formation during DNA replication

Replication-associated single-stranded DNA (ssDNA) gaps are increasingly recognized as major sources of genome instability, but how replisome-associated mechanisms suppress their formation remains unclear. Here we identify protein arginine methyltransferase 1 (PRMT1) as a replisome-associated methyltransferase that promotes DNA synthesis and fork integrity. PRMT1 localizes to active forks and its depletion or inhibition slows fork progression in multiple human cell types. We identify MCM4 as a direct PRMT1 substrate and show that methylation-deficient MCM4 causes spontaneous replication stress, elevated RPA, and nuclease-sensitive nascent DNA tracts, indicating persistent daughter-strand gaps. Despite these defects, methylation-deficient MCM4 cells exhibit apparent fork acceleration, consistent with discontinuous DNA synthesis. By contrast, PRMT1 depletion slows forks and selectively reduces fork association of SMC5/6 without broadly disrupting core replisome components. Together, these data support a model in which PRMT1-dependent methylation of MCM4 suppresses gap-prone DNA synthesis, while fork-associated SMC5/6 stabilizes vulnerable gap-containing intermediates.

molecular biology↗

bioRxiv2026

Spatiotemporal remodeling of cytoskeletal and junction networks during somatic cell reprogramming

Summary/AbstractReprogramming somatic cells into induced pluripotent stem cells involves a dramatic reorganization of the cytoskeleton and junctions during the critical mesenchymal-to-epithelial transition stage. While protein abundance changes have been profiled, the spatiotemporal dynamics of protein-protein associations involving these structural components remain poorly resolved. Here, we present a time-resolved proximity proteomics resource that maps cytoskeletal and junctional remodeling across 27 baits during the early stages of reprogramming. We identified over 1100 high-confidence interactions, including many not previously reported, capturing the dynamic reorganization of cell architecture. By integrating proximity-dependent biotinylation with quantitative proteomics, we distinguished spatial relocalizations from abundance-driven effects. Dynamic redistributions of actin regulators and desmosomal proteins were observed, and a targeted short interfering RNA screen uncovered early acting structural proteins essential for colony formation. Our findings reveal adhesion and cytoskeletal maturation as structural bottlenecks in reprogramming and provide a broadly applicable framework for mapping subcellular remodeling during dynamic cell fate transitions.

systems biology↗

bioRxiv2026

SCM-1/SCAMP Maintains Microdomain Boundaries and Cargo Sorting within the Endosomal System

After endocytosis, transmembrane cargo reaches sorting endosomes where it is partitioned into physically distinct recycling or degradative microdomains. While the J-domain protein RME-8/DNAJC13 is known to maintain these boundaries by actively removing degradative machinery from the recycling microdomain, other factors that contribute to this spatial organization remain poorly defined. Here, we identify the conserved tetraspan protein SCM-1/SCAMP as a key microdomain organizer, discovered through RME-8 proximity-dependent biotinylation screens in C. elegans and human cells. Leveraging the large endosomes of C. elegans coelomocytes, we show that SCM-1 is selectively enriched within the recycling microdomain. In scm-1 mutants, recycling and degradative microdomains still assemble but fail to remain spatially distinct, resulting in inappropriate microdomain overlap. This loss of boundary integrity occurs without increasing the recruitment of sorting machineries, indicating a mechanism distinct from the RME-8-mediated uncoating pathway. scm-1 mutants exhibit significant sorting defects, including misrouting of recycling cargo MIG-14/Wls and v-SNARE SNB-2/VAMP3 to late endosomes and lysosomes. We find that snb-2 mutants themselves missort MIG-14 to late endosomes and lysosomes, suggesting that SNB-2 sorting is key for recycling function. Our data suggest that both microdomains lose efficiency in scm-1 mutants, as cargo missorted into late endosomes and lysosomes is not depleted overall, and degradation of an independent ESCRT-dependent cargo is delayed. We conclude that SCM-1 ensures endosomal sorting fidelity by stabilizing microdomain boundary integrity, a process required for efficient recycling and degradation of transmembrane cargo.

cell biology↗

bioRxiv2026

Reference-Based Library Construction Improves Performance in low-input diaPASEF Workflows

In low input mass spectrometry-based proteomics, Data Independent Acquisition (DIA), is quickly becoming the method of choice for label free quantification. Whether using empirical or in silico spectral libraries, performance is dependent on the library; however, the optimal library construction strategy for low input proteomics remains an open question. To address this, we examine and develop library construction approaches that are compatible with both spectrum-centric and peptide-centric analysis workflows. These approaches leverage a closely related, high-quality sample to improve library quality. First, we validated our approach in bulk sample amounts where we observed that the effects of gas-phase fractionation based library construction is dependent on the software framework, with improvements more pronounced in OpenSWATH compared to DIA-NN. In OpenSWATH, our peptide-centric library reconstruction workflow consistently outperforms a transfer learning strategy, an emerging alternative approach. In DIA-NN, trends are dependent on library source highlighting OpenSWATHs stronger dependence on the search space. In low-input applications, such as single-cell-equivalent injection amounts (100 pg) of HeLa cell digest on a timsTOF SCP, our library construction approach provided more pronounced improvements across both software tools compared to bulk samples. Using a peptide-centric reconstruction approach with the OpenSWATH analysis framework, we detected over 15,000 peptide precursors (2480 protein groups), a 90% improvement over the original library. Furthermore, using a spectrum-centric construction approach, peptide precursor identification rates improved over 6-fold ( [~]1000 to [~]6000). Our strategy provides a practical solution for generating high-quality libraries in low-input applications.

bioinformatics↗

bioRxiv2026

Targeting CBL ubiquitin ligase activation to downregulate tyrosine kinase signalling

The CBL E3 ubiquitin ligase is a critical regulator of tyrosine kinase (TK) signalling. CBL activity is regulated by a feedback loop in which an active TK phosphorylates CBL, relieving its autoinhibited conformation, and allowing ubiquitination of substrates, including TKs, leading to their degradation. Binding of the Src Like Adapter Protein 2 (SLAP2) to CBL can also activate autoinhibited CBL and promote substrate ubiquitination. Using an engineered CBL mutant in the SLAP2 binding interface, termed RE CBL, that mimics activation by SLAP2 binding, we characterized the cellular functions of this CBL activation mechanism. Comparison of wildtype and RE CBL interactomes using MiniTurboID showed extensive and overlapping interaction networks, with a discrete subset of proteins, including the known substrate, epidermal growth factor receptor (EGFR), as well as endocytic factors such as EPS15, in higher abundance with RE CBL compared to wildtype. Consistent with these observations, RE CBL interacted more readily with EGFR, enhanced EGFR internalization, and attenuated downstream signalling compared to WT. In Cbl null hematopoietic cells, RE CBL expression reduced sensitivity to cytokines IL-3 and GM-CSF, and decreased activation of the Src-family kinase Lyn. Furthermore, we optimized and conducted a small molecule screen to identify a group of structurally related compounds that, like SLAP2 binding, promoted CBL activation in vitro. Together these findings provide proof of concept for targeting CBL activity to downregulate TK signalling.

biochemistry↗

bioRxiv2025

Role of the obligate STRIPAK complex component Mob4 in zebrafish vascular development and stability

The STRiatin Interacting Phosphatases and Kinases (STRIPAK) complex is a conserved multiprotein module with functions in cell proliferation, cell growth, and cancer. Primarily examined through proteomic and in vitro studies, there is a relative lack of insight into the in vivo function of the STRIPAK complex during development. Motivated by the prominent interaction of STRIPAK and the CCM3 adapter protein, which is associated with the vascular disease cerebral cavernous malformation (CCM), we sought to examine the role of the conserved STRIPAK component Mob4 in early zebrafish vascular development. We use proximity-dependent biotinylation (BioID) coupled with mass spectrometry to show that Mob4 is a component of the STRIPAK complex in zebrafish. Loss of mob4 leads to pronounced cardiovascular and neuronal defects, including a leaky cerebral vasculature, hypersprouting of venous endothelial cells and poor neuronal branching. Conditional transgenic models further demonstrate a continuous and broad requirement for Mob4 in development. Taken together, these results suggest a key role for STRIPAK function in vascular development and stability, replicating hallmarks of CCM.

developmental biology↗

bioRxiv2025

RNA-binding proteins provide specificity to the PAN2-PAN3 mRNA deadenylation complex

Cytoplasmic shortening of mRNA poly(A) tails represses eukaryotic gene expression by inhibiting efficient translation and committing an mRNA to decay. The CCR4-NOT deadenylase machinery interacts with sequence-specific RNA-binding proteins (RBPs), termed RNA adaptors, to target specific transcripts for deadenylation. In contrast, the PAN2-PAN3 deadenylation complex is thought to be predominantly recruited to mRNAs via interaction with the poly(A) binding protein, raising the question of whether it acts in a transcript-specific manner. Here, using biochemical reconstitution, we show that PAN2-PAN3 can also be recruited to specific RNAs via RNA adaptors, including MEX3, YTHDF and ZFP36 proteins. In cells, we find that a diverse range of RNA adaptors interact with both major deadenylation complexes. Thus, our data suggest that, in addition to CCR4-NOT, PAN2-PAN3 also contributes to the specificity of mRNA degradation and the robustness of post-transcriptional regulation of gene expression.

molecular biology↗

bioRxiv2025

H3.3 De Novo Mutations Alter Lysine 36 Methylation via Distinct Mechanisms

Bryant-Li-Bhoj syndrome (BLBS) is caused by de novo mutations on histone H3.3 and is generally characterized by severe neurodevelopmental deficits. Oncogenic H3.3 amino acid substitutions were described over the past decade, but the molecular impact of BLBS mutations remained unstudied. The remarkable number and spread of the missense mutations led us to hypothesize that some converge on the same downstream effectors. We recently showed that H3.3G34R/V substitutions, seen in both cancer and BLBS, impair associations with the DNMT3A DNA methyltransferase. Our proteomic, enzymatic, and structural analyses now show that H3.3 BLBS mutations flanking glycine 34 have surprisingly stark effects on H3K36 methyltransferases, drastically altering H3K36 methyl states in cis and the binding of effector proteins with a PWWP domain, including DNMT3A/B. That confirms the existence of molecular commonalities amongst BLBS H3.3 point mutants while providing some of the first mechanistic insights into the syndrome.

molecular biology↗

bioRxiv2025

Mitotic single-stranded DNA suppression by DDIAS

Incomplete DNA replication and chromosome breakage during mitosis pose major threats to chromosome segregation. The CIP2A-TOPBP1 complex acts to mitigate this peril, but its exact role is not yet understood. Here, we report that DDIAS acts as a DNA-binding effector of the CIP2A-TOPBP1 complex. DDIAS directly interacts with TOPBP1 and the disruption of this interaction or inactivation of its single-stranded DNA (ssDNA)-binding ability impairs genome integrity and causes synthetic lethality with BRCA1 and BRCA2 deficiency. DDIAS does not promote the putative end-tethering function of CIP2A-TOPBP1 but rather acts to suppress ssDNA during mitosis. This role is emphasized by a pronounced genetic interaction between the genes coding for DDIAS and DNA polymerase (. We conclude that DDIAS defines a mitotic DNA damage response that mitigates the threat of mitotic ssDNA arising from DNA replication stress, which we infer is a liability to accurate chromosome segregation. (144 words).

molecular biology↗

bioRxiv2025

Benchmarking of proximity-dependent biotinylation enzymes across cellular compartments and time windows

Proximity-dependent biotinylation has become a powerful approach for mapping protein interactions and subcellular organization in living cells. Although a growing number of engineered biotin ligases have been introduced, their performance has not been systematically evaluated across diverse cellular contexts. Here, we benchmark ten proximity ligases spanning three bacterial lineages using standardized proteomic workflows across multiple labeling durations, subcellular compartments, and two human cell types. While all enzymes efficiently detect proximal associations, they differ in labeling kinetics, background activity, and spatial specificity. TurboID exhibits the highest overall activity but generates substantial background in standard media. miniTurbo and ultraID support rapid, biotin-dependent labeling with low background, making them better suited for dynamic and time-resolved applications. However, miniTurbo showed aberrant mitochondrial localization with two cytoskeletal baits (VASP and PFN1). Across 15 diverse baits, ultraID consistently provides an excellent combination of specificity, efficiency, and spatial compatibility--including unique recovery of Golgi-resident glycosyltransferases. This study serves as a comparative resource, offering guidance for enzyme selection and experimental design in proximity proteomics.

systems biology↗

bioRxiv2025

Integrated spatial proteomics of human PDAC uncovers an expanded tumour-immune-stroma spectrum with genomic associations

Distinctively, pancreatic ductal adenocarcinoma (PDAC) consists of sparse tumour lesions intertwined with extensive desmoplastic stroma. The complexity of tumour-microenvironment interactions within this desmoplasia poses a challenge for accurate tumour profiling and patient stratification, and characterizes a profoundly chemoresistant tumour. Here we mapped the spatial relationships between tumour, stroma, and immune cell compartments delineating tumour and microenvironment types that expand the classical to basal spectrum of human PDAC. We used imaging mass cytometry to profile the in situ multi-cellular organization of 81 cell types in resected cases with paired whole genome sequencing. Cell types, functions, and pathway activation were distributed as highly reproducible environments in discrete locations throughout these tumours, which we deep-profiled using laser-capture mass spectrometry. We show that the connections between tumour phenotypes, vascularization, immune response, and stromal biophysical state are reinforced by genomic aberrations, altered by treatment, and associated with patient outcome. Predictive machine-learning models showed that spatial single cell data outperformed genomic or clinical features but integrated multi-omics models provide the best prediction of patient survival with compressed models requiring only 10 non-redundant robust molecular measures associated with the phenotypic spectrum of PDAC. Together, these findings define a phenotypic and molecular framework of PDAC that captures tumour-microenvironment co-dependencies and offers a refined basis for patient stratification and therapeutic targeting.

cancer biology↗

bioRxiv2025

Multiple FGFR1 mutations modulate tumorigenic mechanisms in glioneuronal tumors.

FGFR1 genetic alterations are associated with human diseases, including brain tumors. We reported multiple FGFR1 mutations in familial and sporadic cases of low-grade glioneuronal tumors, suggesting intrinsic mechanisms of selective pressure toward FGFR1 multiple events arising in the context of a quiet genome. To decipher the molecular mechanisms triggered by multiple FGFR1 mutations, we have mapped the proximal interactome of wild-type, single-and double-mutant FGFR1 proteins through a BioID-MS approach. Our data reveals novel oncogenic functionality for the two hotspots N546K and K656E, linked to evasion of lysosomal degradation. We identified a modulatory role played by the susceptibility variant R661P, which hampers the oncogenic potential of both hotspot mutations by rescuing receptor degradation and reducing N546K affinity for the downstream effector PLC{gamma}. The R661P variant alone abolished the self-renewal capacity of oligodendroglioma cells and showed downregulation of genes involved in neurodevelopment and neuro-glial cell fate decisions, both aspects overcome in the double mutants. This study sheds light on the oncogenic effects associated with FGFR1 alterations and their recurrence in low-mutation burden and therapy naive tumors.

cancer biology↗

bioRxiv2025

Stress Granules Underlie Acute Myeloid Leukemia Stem Cell Survival and Stress Adaptation

The link between cancer maintenance and an ability to sustain continued growth through stresses conferred by the cancer state itself is growing. However, there are significant gaps in our understanding of how this stress is managed, particularly at the level of cancer initiating cells. Here, we identify proteins comprising the dynamic, stress-adaptive ribonucleoprotein complexes known as stress granules (SG) to be enriched among the factors essential for leukemic stem cell (LSC)-driven leukemic propagation. Focusing on core SG nucleator G3BP1, we dissect the role of SGs in human acute myeloid leukemia (AML), their targetability, and the mechanisms they govern to uncover a novel propensity for AML, and in particular LSC-enriched fractions, to prime the expression of SG components, form SGs with greater fidelity and to be reliant on their establishment and continued integrity for LSC maintenance. We further unveil the transcript and protein interactome of G3BP1 in the AML context and show that consolidated control of innate immune signaling, and apoptosis repression is executed through regional binding specificity of G3BP1 to highly structured 3UTRs and cooperation with the RNA helicase UPF1 to mediate transcript decay in SGs. Altogether our findings advance novel fundamental principles of stress adaptation exploited in AML and LSCs that may extend to other cancers and uncover SGs as a novel axis for therapy development.

cancer biology↗

bioRxiv2024

Cargo-selective regulation of clathrin-mediated endocytosis by AMP-activated protein kinase

The cell surface abundance of many proteins is controlled by clathrin-mediated endocytosis (CME). CME is driven by the assembly of clathrin and other proteins on the inner leaflet of the plasma membrane into clathrin-coated pits (CCPs). Regulation of CCP dynamics allows for control of the function of specific cell surface proteins, impacting a range of cellular outcomes. AMP-activated protein kinase (AMPK) becomes activated upon metabolic insufficiency and facilitates cellular adaptation to nutrient stress. Here, we examined how AMPK regulates CME and the cell surface membrane traffic of {beta}1-integrin. We find that AMPK controls CCP dynamics and regulates the abundance of the endocytic adaptor protein Dab2 within CCPs in a manner that requires the GTPase Arf6, thus selectively promoting the CCP recruitment and internalization of {beta}1-integrin. This reveals a novel signaling pathway for cargo-selective metabolic regulation of CME by AMPK, impacting the function of cell surface proteins such as integrins.

cell biology↗

bioRxiv2024

Computational design and evaluation of optimal bait sets for scalable proximity proteomics

The spatial organization of proteins in eukaryotic cells can be explored by identifying nearby proteins using proximity-dependent biotinylation approaches like BioID. BioID defines the localization of thousands of endogenous proteins in human cells when used on hundreds of bait proteins. However, this high bait number restricts the approachs usage and gives these datasets limited scalability for context-dependent spatial profiling. To make subcellular proteome mapping across different cell types and conditions more practical and cost-effective, we developed a comprehensive benchmarking platform and multiple metrics to assess how well a given bait subset can reproduce an original BioID dataset. We also introduce GENBAIT, which uses a genetic algorithm to optimize bait subset selection, to derive bait subsets predicted to retain the structure and coverage of two large BioID datasets using less than a third of the original baits. This flexible solution is poised to improve the intelligent selection of baits for contextual studies.

bioinformatics↗

bioRxiv2024

Systematic profiling of the acetyl lysine machinery reveals a role for MAPKAPK2 in bromodomain inhibitor resistance

Bromodomain (BRD)-containing proteins are chemically tractable multi-domain scaffolding molecules involved in acetyl lysine (Kac) signaling. BRD inhibitors have shown promise in clinical oncology, including melanomas; however, their narrow therapeutic windows and issues with resistance in pre-clinical models highlight the need to better understand the functions of and interconnection between BRD-containing proteins. Here, we use complementary interaction-mapping techniques (affinity purification and proximity-dependent biotinylation) to map the interactions of 39 of the 42 BRD-containing proteins and 110 additional proteins that physically or functionally associate with them. We uncover 3,892 novel interactions and reveal the intricate connectivity of the Kac machinery. Chemical inhibition of multiple BRD classes revealed that inhibiting BETs--but not mSWI/SNF or CREBBP/EP300 proteins--dramatically rewired the interactome. Finally, we identified MAPKAPK2 activity as a critical determinant of BET inhibitor sensitivity in melanoma through its impact on chromatin composition remodeling. In BriefKougnassoukou Tchara et al. generate a static protein interaction map of the human acetyl lysine machinery by coupling two complementary functional proteomics approaches (FLAG affinity purification and proximity-dependent biotinylation) to mass spectrometry. They also investigate network changes upon bromodomain inhibition, and describe a novel resistance mechanism mediated by the p38 stress signaling pathway that causes significant metabolic changes. HighlightsO_LITwo complementary interaction proteomics analyses of the human acetyl lysine machinery were performed. C_LIO_LINovel target- and compound-specific impacts of bromodomain inhibitors were identified. C_LIO_LIMAPKAPK2 was identified as a novel resistance gene to BET bromodomain inhibitors in melanoma. C_LIO_LIBET bromodomain inhibition leads to metabolic adaptation in melanoma. C_LI

cancer biology↗

bioRxiv2024

Spatial proteomic mapping of human nuclear bodies reveals new functional insights into RNA regulation

Nuclear bodies are diverse membraneless suborganelles with emerging links to development and disease. Explaining their structure, function, regulation, and implications in human health will require understanding their protein composition; however, isolating nuclear bodies for proteomic analysis remains challenging. We present the first comprehensive proximity proteomics-based map of nuclear bodies, featuring 140 bait proteins (encoded by 119 genes) and 1,816 unique prey proteins. We identified 641 potential nuclear body components, including 131 paraspeckle proteins and 147 nuclear speckle proteins. After validating 31 novel paraspeckle and nuclear speckle components, we discovered regulatory functions for the poorly characterised nuclear speckle- and RNA export-associated proteins PAXBP1, PPIL4, and C19ORF47, and revealed that QKI regulates paraspeckle size. This work provides a systematic framework of nuclear body composition in live cells that will accelerate future research into their organisation and roles in human health and disease.

cell biology↗