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Dephoure, N.

Publications and source records attributed to Dephoure, N..

13 recordsLinked to original sources

Proximity-Informed Graph Learning Defines Spatial Protein Communities for Tumor-Associated Proximity Antigen Discovery

The spatial organization of membrane proteins is an underexplored dimension of cell-surface biology. Spatial proximity shapes cellular function and therapeutic targetability, yet efforts to identify tumor-associated antigens (TAAs) have largely focused on expression alone. Here, we developed an industrialized surface-protein proximity mapping workflow to interrogate TAAs within their membrane microenvironments. In the process, we generated 248 proximity maps across 12 receptor tyrosine kinases (RTKs) and 28 tumor cell systems. This proximity atlas enabled two advances: first, MetaMap, a correlation-based analytical framework that defines spatial protein communities and infers non-targeted proximal proteins from reproducible proximity signatures; and second, tumor-associated proximity antigens (TAPAs), a conceptual class of co-targets defined by disease-specific spatial proximity to TAAs rather than expression alone. Applying these proximity-derived relationships within a multimodal prioritization framework, we identified and validated an EGFRxCDCP1 TAA-TAPA pair that enhanced tumor cell killing across therapeutic modalities. By integrating spatial organization with multimodal data, this work expands the design space for precision-guided therapeutic strategies.

cancer biology↗

Lysosome-dependent nutrient scavenging underliesstress adaptation during epithelial-to-mesenchymaltransition

Metastatic cancer cells invade tissue, overcome nutrient stress, and survive transit to distant sites. Many of the mechanisms that support these processes are incompatible with proliferation. This study defines cellular transition states in breast epithelial cells undergoing epithelial-mesenchymal transition (EMT) driven by ERK2 and TGF-{beta} signaling. EMT triggers robust endolysosomal system upregulation and metabolic adaptations that balance proliferative and invasive states. Surprisingly, invasive cells rely on scavenging via lysosomes and macropinocytosis to acquire amino acids, rather than plasma membrane transport, even in nutrient-rich conditions. Macropinocytosis increases intracellular amino acid storage, promoting survival during amino acid deprivation. This metabolic shift depends on c-MYC downregulation, an early EMT event. Reintroducing c-MYC suppresses the metabolic switch, endolysosomal induction, macropinocytosis, and the proliferation-to-migration transition. These findings reveal how cells dynamically balance proliferation and invasion, offering insights into transition states difficult to capture in models of breast cancer metastasis.

cell biology↗

The tissue-specific autophagic response to nutrient deprivation

Macroautophagy is a highly adaptable degradative system that is essential for life. Although studies have shown the importance of this pathway across all organ systems, we have little understanding of how discrete tissues might employ autophagy and how this changes during stress. Using an approach to identify quantitatively autophagic cargoes, we sought to identify how cells from the adult liver and brain rely on autophagy under basal conditions and during nutrient deprivation. We find that in addition to the turnover of cell type specific proteins, the different organs relied on autophagy differentially for the turnover of organelles such as mitochondria, peroxisomes and ER. Moreover, in response to nutrient deprivation, although both tissues showed increased cargo capture, cell type- and tissue-specific patterns emerged. Most notably in the brain, we found an increased representation of glial and endothelial cell cargoes, whereas neuronal cargoes were relatively unchanged. In liver, we unexpectedly found a decreased representation of mitochondrial proteins, which represented a shift moving away from the whole mitochondrion turnover to piecemeal. These results indicate how the physiologic context of the different cell types significantly influence autophagy-dependence, and begins to shed insight into how the term autophagy dysfunction might be thought of when considering different disease states.

physiology↗

Complex Intracellular Mechanisms of TBK1 Kinase Activation Revealed by a Specific Small Molecule Inhibitor

TANK-binding kinase 1 (TBK1), a dimeric serine/threonine protein kinase, plays a critical role in multiple signaling pathways including innate immunity, autophagy and cell death. TBK1 is activated by the phosphorylation of an essential serine residue 172 (S172) within the activation loop of the kinase domain, and this phosphorylation can occur by trans-autophosphorylation: one TBK1 dimer phosphorylates a second dimer at S172. Here we show that phosphorylation of TBK1 S172 in cultured human cells in response to multiple inducers is reduced, but not abolished by the highly specific and potent TBK1 small molecule inhibitor GSK8612. Thus, upstream kinase(s) must phosphorylate TBK1 in response to inducers in cultured cells. We show that distinct upstream kinases are recruited for the activation of TBK1 in response to different inducers. We also identify extensive crosstalk among TBK1, IKK{beta} and IKK{varepsilon} kinases in the cellular response to various inducers. In addition, we show that dsDNA and dsRNA trigger dynamic intracellular translocation of TBK1, leading to its localization and activation on the Golgi apparatus or mitochondria, respectively. GSK8612 does not block the intracellular localization of TBK1. We conclude that TBK1 is activated by both upstream kinase phosphorylation and by trans-autophosphorylation, and the signal-dependent spatial engagement of TBK1 with other signaling molecules is a fundamental mechanism for its specific activation by multiple inducers.

molecular biology↗

Radiation therapy promotes unsaturated fatty acids to maintain survival of glioblastoma

PurposeRadiation therapy (RT) is essential for the management of glioblastoma (GBM). However, GBM frequently relapses within the irradiated margins, thus suggesting that RT might stimulate mechanisms of resistance that limits its efficacy. GBM is recognized for its metabolic plasticity, but whether RT-induced resistance relies on metabolic adaptation remains unclear. MethodsWe analyzed in vitro extracellular flux and profiled targeted metabolites as well as free fatty acids in two syngenic models of glioblastomas 24hrs post RT. Metabolic adaptation of irradiated GBM were confirmed in vivo by mass spectrometry imaging. The role of the fatty acid synthase (FASN) in RT-induced lipid metabolites was assessed by genetical and pharmacological inhibition of Fasn in irradiated GBM cells. The impact of FASN-mediated lipids on endoplasmic reticulum (ER) stress and apoptosis of irradiated GBM cells were performed by transmission electronic microscopy, western blot, clonogenic assay and flow cytometry. Inhibition of FASN combined with focal RT was assessed in mice. Analysis of a public dataset of GBM patients was performed to correlate preclinical findings. ResultsHere, we show in vitro and in vivo that irradiated GBM tumors switch their metabolic program to accumulate lipids, especially unsaturated fatty acids. This resulted in an increase formation of lipid droplets to prevent ER stress. We uncovered that FASN is critical for lipid accumulation of irradiated GBM and demonstrate that genetic suppression and pharmacological inhibition of FASN lead to mitochondrial dysfunction and apoptosis. Combination of FASN inhibition with focal RT improved the median survival of GBM-bearing mice. Supporting the translational value of these findings, retrospective analysis of the GLASS consortium dataset of matched GBM patients revealed an enrichment in lipid metabolism signature in recurrent GBM compared to primary. ConclusionsOverall, these results demonstrate that RT drives GBM resistance by generating a lipogenic environment permissive to GBM survival. Targeting lipid metabolism might be required to develop more effective anti-GBM strategies.

cell biology↗

Therapeutic anti-PD-L1 antibody affects ESCRT-mediated functions in cells expressing oncogenic EGFR.

PD-L1, a transmembrane ligand for immune checkpoint receptor PD1, has been successfully targeted to activate an anti-tumor immune response in a variety of solid tumors, including non-small cell lung cancer (NSCLC). Despite the success of targeting PD-L1, only about 20% of patients achieve a durable response. The reasons for the heterogeneity in response are not understood, although some molecular subtypes (e.g., mutant EGF receptor tumors) are generally poor responders. Although PD-L1 is best characterized as a transmembrane PD1 ligand, the emerging view is that PD-L1 has functions independent of activating PD1 signaling. It is not known whether these cell-intrinsic functions of PD-L1 are shared among non-transformed and transformed cells, if they vary among cancer molecular subtypes, or if they are impacted by anti-PD-L1 therapy. Here we use quantitative microscopy techniques and APEX2 proximity mapping to describe the behavior of PD-L1 and to identify PD-L1s proximal proteome in human lung epithelial cells. Our data reveal growth factor control of PD-L1 recycling as a mechanism for acute and reversible regulation of PD-L1 density on the plasma membrane. In addition, we describe novel PD-L1 biology restricted to mutant EGFR cells. Anti-PD-L1 antibody treatment of mutant EGFR cells perturbs cell intrinsic PD-L1 functions, leading to reduced cell migration, increased half-life of EGFR and increased extracellular vesicle biogenesis, whereas anti-PD-L1 antibody does not induce these changes in wild type EGFR cells. These specific effects in mutant EGFR cells might contribute to the poor anti-PD-L1 response of mutant EGFR tumors.

cell biology↗

Consequences of aneuploidy in human fibroblasts with trisomy 21

An extra copy of chromosome 21 causes Down syndrome, the most common genetic disease in humans. The mechanisms by which the aneuploid status of the cell, independent of the identity of the triplicated genes, contributes to the pathologies associated with this syndrome are not well defined. To characterize aneuploidy driven phenotypes in trisomy 21 cells, we performed global transcriptome, proteome, and phenotypic analysis of primary human fibroblasts from individuals with Patau (trisomy 13), Edwards (trisomy 18), or Down syndromes. On average, mRNA and protein levels show a 1.5 fold increase in all trisomies with a subset of proteins enriched for subunits of macromolecular complexes showing signs of post-transcriptional regulation. Furthermore, we show several aneuploidy-associated phenotypes are present in trisomy 21 cells, including lower viability and an increased dependency on the serine-driven lipid biosynthesis pathway to proliferate. Our studies present a novel paradigm to study how aneuploidy contributes to Down syndrome.

cell biology↗

Age-induced methylmalonic acid accumulation promotes tumor progression and aggressiveness

From age 65 onwards, the risk of cancer incidence and associated mortality is substantially higher1-3. Nonetheless, our understanding of the complex relationship between age and cancer is still in its infancy4. For decades, the link has largely been attributed to increased exposure time to mutagens in older individuals. However, this view does not account for the well-established role of diet, exercise and small molecules that target the pace of metabolic aging5-8. Here, we show that metabolic alterations that occur with age can render a systemic environment favorable to progression and aggressiveness of tumors. Specifically, we show that methylmalonic acid (MMA), a by-product of propionate metabolism, is significantly up-regulated in the serum of older people, and functions as a mediator of tumor progression. We traced this to the induction of SOX4 and a consequent transcriptional reprogramming that can endow cancer cells with aggressive properties. Thus, accumulation of MMA represents a novel link between aging and cancer progression, implicating MMA as a novel therapeutic target for advanced carcinomas.

cancer biology↗

Role of Specialized mSWI/SNF Complexes in Prostate Cancer Lineage Plasticity

Advanced prostate cancer initially responds to hormonal treatment, but ultimately becomes resistant and requires more potent therapies. One mechanism of resistance observed in [~]10% of these patients is through lineage plasticity, which manifests in a partial or complete small cell or neuroendocrine prostate cancer (NEPC) phenotype. Here, we investigate the role of the mammalian SWI/SNF (mSWI/SNF) chromatin remodeling complex in NEPC. Using large patient datasets, patient-derived organoids and cancer cell lines, we identify mSWI/SNF subunits that are deregulated in NEPC and demonstrate that SMARCA4 (BRG1) overexpression is associated with aggressive disease. We also show that SWI/SNF complexes interact with different lineage-specific factors in NEPC compared to prostate adenocarcinoma. These data suggest a role for mSWI/SNF complexes in therapy-related lineage plasticity, which may be relevant for other solid tumors.

cancer biology↗

Robust, reproducible, and economical phosphopeptide enrichment using calcium titanate

Mass spectrometry based phosphoproteomics has revolutionized phosphoprotein analysis and enhanced our understanding of diverse and fundamental cellular processes important for human health. Because of their relative scarcity, phosphopeptides must be enriched before analysis. We demonstrate an effective and robust single-step enrichment method using an off-the-shelf preparation of calcium titanate. Our method achieves a purity and depth of analysis comparable to a widely used TiO2 based method at a reduced cost and effort.

biochemistry↗

Predicting peptide presentation by major histocompatibility complex class I using one million peptides

Improved computational tools are needed to prioritize putative neoantigens within immunotherapy pipelines for cancer treatment. Herein, we assemble a database of over one million human peptides presented by major histocompatibility complex class I (MHC-I), the largest known database of its type. We use these data to train a random forest classifier (ForestMHC) to predict likelihood of MHC-I presentation. The information content of features mirrors the canonical importance of positions two and nine in determining likelihood of binding. Our random forest-based method outperforms NetMHC and NetMHCpan on test sets, and it outperforms both these methods and MixMHCpred on new mass spectrometry data from an ovarian carcinoma sample. Furthermore, the random forest scores correlate monotonically with peptide binding affinities, when known. Finally, we examine the effect size of gene expression on peptide presentation and find a moderately strong relationship. The ForestMHC method is a promising modality to prioritize neoantigens for experimental testing in immunotherapy.

bioinformatics↗

mTORC1 activates PASK-Wdr5 signaling to epigenetically connect the nutrient status with myogenesis.

In the tissue microenvironment, stem cell functions are modulated by extrinsic signaling cues such as peptide hormones and dietary nutrients. These signaling cues maintain the balance between self-renewal and differentiation of its resident stem cells. The mechanistic Target of Rapamycin Complex 1 (mTORC1) is implicated to play an important role in regulating this balance, although its downstream effectors in stem cells have been elusive. We have recently shown that the PASK protein kinase phosphorylates Wdr5 to stimulate muscle stem cell differentiation by epigenetically activating the Myogenin promoter. Here, we show that the PASK-Wdr5 signaling pathway is a nutrient-sensitive downstream target of mTORC1 in muscle stem cells. We show that phosphorylation of PASK, and in turn of Wdr5, by mTORC1 is required for the activation of Myogenin transcription, exit from the self-renewal and induction of the myogenesis program. Thus, mTOR connects the diverse extrinsic signaling cues to a central epigenetic process to regulate the muscle stem cell fate between self-renewal and differentiation.

cell biology↗

A conserved signaling network monitors delivery of sphingolipids to the plasma membrane in budding yeast

In budding yeast, cell cycle progression and ribosome biogenesis are dependent upon plasma membrane growth, which ensures that events of cell growth are coordinated with each other and with the cell cycle. However, the signals that link the cell cycle and ribosome biogenesis to membrane growth are poorly understood. Here, we used proteome-wide mass spectrometry to systematically discover signals associated with membrane growth. The results suggest that membrane trafficking events required for membrane growth generate sphingolipid-dependent signals. A conserved signaling network plays an essential role in signaling by responding to delivery of sphingolipids to the plasma membrane. In addition, sphingolipid-dependent signals control phosphorylation of protein kinase C (Pkc1), which plays an essential role in the pathways that link the cell cycle and ribosome biogenesis to membrane growth. Together, these discoveries provide new clues to how growth-dependent signals control cell growth and the cell cycle.

cell biology↗