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Samuels, Y.

Publications and source records attributed to Samuels, Y..

5 recordsLinked to original sources

Epithelial MHC II antigen presentation dynamically informs intestinal homeostasis and injury

The intestinal epithelium plays a pivotal role in balancing immune tolerance and inflammation, yet how it communicates tissue state to the adaptive immune system remains unclear. Here, we show that intestinal epithelial cells (IECs) encode tissue identity and injury into the major histocompatibility complex class II (MHC II) ligandome. We employed integrated single cell transcriptomics, quantitative proteomics, and high-depth in vivo immunopeptidomics to map the MHC class II self-peptidome of the mouse small intestine across epithelial and immune compartments. Mature enterocytes and intestinal stem cells (ISCs) emerged as the dominant epithelial antigen-presenting cells (APCs), displaying a compartmentalized repertoire of endogenous self-immunopeptides reflecting epithelial differentiation and function. Disruption of epithelial MHC II expression led to loss of antigenic compartmentalization, immune infiltration, extracellular matrix remodeling, and emergence of inflammation-associated immune ligands, demonstrating that epithelial MHC II is required to maintain homeostasis. Functionally, a subset of ISC-derived self-immunopeptides preferentially promotes regulatory CD4{square} T cell responses, linking epithelial antigen presentation and peripheral tolerance. During gut inflammation, the epithelial MHC II landscape shifted toward damage-associated antigens. Together, these findings establish epithelial MHC II presentation as a context-dependent tissue-immune communication system that promotes tolerance in homeostasis and alerts to tissue injury during inflammation.

immunology↗

Genesis: A Modular Protein Language Modelling Approach to Immunogenicity Prediction

Neoantigen immunogenicity prediction is a highly challenging problem in the development of personalised medicines. Low reactivity rates in called neoantigens result in a difficult prediction scenario with limited training datasets. Here we describe Genesis, a modular protein language modelling approach to immunogenicity prediction for CD8+ reactive epitopes. Genesis comprises of a pMHC encoding module trained on three pMHC prediction tasks, an optional TCR encoding module and a set of context specific immunogenicity prediction head modules. Compared with state-of-the-art models for each task, Genesis encoding module performs comparably or better on pMHC binding affinity, eluted ligand prediction and stability tasks. Genesis outperforms all compared models on pMHC immunogenicity prediction (Area under the receiver operating characteristic curve=0.619, average precision: 0.514), with a 7% increase in average precision compared to the next best model. Genesis shows further improved performance on immunogenicity prediction with the integration of TCR context information. Genesis performance is further analysed for interpretability, which locates areas of weakness found across existing immunogenicity models and highlight possible biases in public datasets.

bioinformatics↗

Temporal genomic analysis of melanoma rejection identifies regulators of tumor immune evasion

Decreased intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, even highly homogenous tumors may display variability in their aggressiveness, and how immunologic-factors impinge on their aggressiveness remains understudied. Here we studied the mechanisms responsible for the immune-escape of murine tumors with low ITH. We compared the temporal growth of homogeneous, genetically-similar single-cell clones that are rejected vs. those that are not- rejected after transplantation in-vivo using single-cell RNA sequencing and immunophenotyping. Non- rejected clones showed high infiltration of tumor-associated-macrophages (TAMs), lower T-cell infiltration, and increased T-cell exhaustion compared to rejected clones. Comparative analysis of rejection- associated gene expression programs, combined with in-vivo CRISPR knockout screens of candidate mediators, identified Mif (macrophage migration inhibitory factor) as a regulator of immune rejection. Mif knockout led to smaller tumors and reversed non-rejection-associated immune composition, particularly, leading to the reduction of immunosuppressive macrophage infiltration. Finally, we validated these results in melanoma patient data. Statement of significanceHere, we uncover the association of Mif expression with tumor growth and aggressiveness, specifically in low ITH tumors. These findings could facilitate the development of new strategies to treat patients with homogeneous, high-MIF expressing tumors that are unresponsive to immune checkpoint therapy.

cancer biology↗

The proteasome regulator PSME4 drives immune evasion and abrogates anti-tumor immunity in NSCLC

Protein degradation by proteasomes is important for the immune response against tumors. Antigens generated by the proteasome promote immune cell infiltration into tumors and improve tumors responses to immunotherapy. For example, immunoproteasomes - a subset of proteasomes induced by inflammatory signals - may improve the response of melanomas to immune checkpoint inhibitors (ICI) by eliciting tumor inflammation. Yet, it is unclear whether and how protein degradation by proteasomes impacts cancer progression and contributes to immune evasion and resistance. Here, we profile the proteasome-cleaved peptides in lung cancers and find that PSME4 serves as a novel inhibitory regulator of the immunoproteasome, playing an anti-inflammatory role in cancer. Biochemical assays combined with scRNA-seq, immunopeptidomics and in vivo analyses demonstrate that PSME4 promotes an immunosuppressive environment around the tumor and abrogates anti-tumor immunity by inhibiting antigen presentation and attenuating tumor inflammation. Furthermore, we find that PSME4 expression is correlated with responsiveness to ICI across several cancer types. Our findings suggest that PSME4-mediated regulation of proteasome activity is a novel mechanism of immune evasion in non-small-cell lung carcinoma and may be targeted therapeutically for restoring anti-tumor immunity. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/464690v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@e87910org.highwire.dtl.DTLVardef@641843org.highwire.dtl.DTLVardef@175092corg.highwire.dtl.DTLVardef@ad34c2_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIMapping the degradation landscape in Non-Small Cell Lung Cancer (NSCLC) uncovers altered proteasome activity and composition C_LIO_LIProteasome regulator PSME4 plays an anti-inflammatory role in NSCLC by attenuating immunoproteasome activity C_LIO_LIPSME4 restricts tumor antigen presentation and cytokine secretion, defining a cold tumor environment C_LIO_LIPSME4 drives tumor immune evasion and is associated with resistance to immunotherapy C_LI

cancer biology↗

Cross-talk between the receptor tyrosine kinases AXL and ERBB3 regulates invadopodia formation in melanoma cells

The invasive phenotype of metastatic cancer cells is accompanied by the formation of actin-rich invadopodia, which adhere to the extracellular matrix, and degrade it. In this study, we explored the role of the tyrosine kinome in the formation of invadopodia in metastatic melanoma cells. Using a microscopy-based siRNA screen, we identified novel invadopodia regulators, the knock-down of which either suppresses (e.g., TYK2, IGFR1, ERBB3, TYRO3, FES, ALK, PTK7) or enhances invadopodia formation and function (e.g., ABL2, AXL, CSK). Particularly intriguing was the discovery that the receptor tyrosine kinase AXL displays a dual regulatory function, manifested by enhancement of invadopodia function upon knock-down or long-term inhibition, as well as following its over-expression. We show here that this apparent contradiction may be attributed to the capacity of AXL to directly stimulate invadopodia; yet its suppression up-regulates the ERBB3 signaling pathway, which consequently activates core invadopodia regulators, and greatly enhances invadopodia function. Bioinformatic analysis of multiple melanoma cells points to an inverse expression pattern of AXL and ERBB3, with the apparent association of high-AXL melanomas, with high expression of invadopodia components and an invasive phenotype. The relevance of these results to melanoma metastasis in vivo, and to potential anti-invasion therapy, is discussed.

cancer biology↗