CaAtlas: An immunopeptidome atlas of human cancer.
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ABSTRACT:
SUBMITTER: Yi X
PROVIDER: S-EPMC8479791 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The study of peptides presented by MHC class I and class II molecules is limited by the need for relatively large cell numbers, especially when studying post-translationally modified or otherwise rare peptide species. To overcome this problem, we pose the hypothesis that human cells grown as xenografts in immunodeficient mice should produce equivalent immunopeptidomes as cultured cells. Comparing human cell lines grown either in vitro or as murine xenografts, we show that the immunopeptidome is substantially preserved. Numerous features are shared across both sample types, including peptides and proteins featured, length distributions, and HLA-binding motifs. Peptides well-represented in both groups were from more abundant proteins, or those with stronger predicted HLA binding affinities. Samples grown in vivo also recapitulated a similar phospho-immunopeptidome, with common sequences being those found at high copy number on the cell surface. These data indicate that xenografts are indeed a viable methodology for the production of cells for immunopeptidomic discovery.
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Project description:The science that investigates the ensembles of all peptides associated to human leukocyte antigen (HLA) molecules is termed "immunopeptidomics" and is typically driven by mass spectrometry (MS) technologies. Recent advances in MS technologies, neoantigen discovery and cancer immunotherapy have catalyzed the launch of the Human Immunopeptidome Project (HIPP) with the goal of providing a complete map of the human immunopeptidome and making the technology so robust that it will be available in every clinic. Here, we provide a long-term perspective of the field and we use this framework to explore how we think the completion of the HIPP will truly impact the society in the future. In this context, we introduce the concept of immunopeptidome-wide association studies (IWAS). We highlight the importance of large cohort studies for the future and how applying quantitative immunopeptidomics at population scale may provide a new look at individual predisposition to common immune diseases as well as responsiveness to vaccines and immunotherapies. Through this vision, we aim to provide a fresh view of the field to stimulate new discussions within the community, and present what we see as the key challenges for the future for unlocking the full potential of immunopeptidomics in this era of precision medicine.
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Project description:BACKGROUND: Deubiquitinating enzymes (DUBs) are proteases that process ubiquitin (Ub) or ubiquitin-like gene products, remodel polyubiquitin(-like) chains on target proteins, and counteract protein ubiquitination exerted by E3 ubiquitin-ligases. A wealth of studies has established the relevance of DUBs to the control of physiological processes whose subversion is known to cause cellular transformation, including cell cycle progression, DNA repair, endocytosis and signal transduction. Altered expression of DUBs might, therefore, subvert both the proteolytic and signaling functions of the Ub system. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we report the first comprehensive screening of DUB dysregulation in human cancers by in situ hybridization on tissue microarrays (ISH-TMA). ISH-TMA has proven to be a reliable methodology to conduct this kind of study, particularly because it allows the precise identification of the cellular origin of the signals. Thus, signals associated with the tumor component can be distinguished from those associated with the tumor microenvironment. Specimens derived from various normal and malignant tumor tissues were analyzed, and the "normal" samples were derived, whenever possible, from the same patients from whom tumors were obtained. Of the ?90 DUBs encoded by the human genome, 33 were found to be expressed in at least one of the analyzed tissues, of which 22 were altered in cancers. Selected DUBs were subjected to further validation, by analyzing their expression in large cohorts of tumor samples. This analysis unveiled significant correlations between DUB expression and relevant clinical and pathological parameters, which were in some cases indicative of aggressive disease. CONCLUSIONS/SIGNIFICANCE: The results presented here demonstrate that DUB dysregulation is a frequent event in cancer, and have implications for therapeutic approaches based on DUB inhibition.
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Project description:Tumor epitopes – peptides that are presented on surface-bound MHC I proteins - provide targets for cancer immunotherapy and have been identified extensively in the annotated protein-coding regions of the genome. Motivated by the recent discovery of translated novel unannotated open reading frames (nuORFs) using ribosome profiling (Ribo-seq), we hypothesized that cancer-associated processes could generate nuORFs that can serve as a new source of tumor antigens that harbor somatic mutations or show tumor-specific expression. To identify cancer-specific nuORFs, we generated Ribo-seq profiles for 29 malignant and healthy samples. These included primary normal and chronic lymphocytic leukemia (CLL) B cells, patient-derived primary glioblastoma (GBM) and melanoma cell cultures, primary healthy melanocytes, as well as established colon carcinoma and melanoma cell lines. These also included B721.221 cells, the parental cell line previously used to generate 92 single HLA allele-expressing lines from which we collected mono-allelic MHC I immunopeptidome data. We developed a hierarchical approach to identify translated novel unannotated open reading frames that leverages the large amount of Ribo-seq data we have generated in order to uncover lowly expressed nuORFs, while also preserving tissue specificity. We constructed a database of novel unannotated ORFs (nuORFdb) and used it to analyze mass spectrometry datasets of MHC I-bound peptides, where we detected peptides from 3,555 nuORFs. Additionally, we used nuORFdb to identify cancer-specific nuORFs, as well as nuORFs harboring cancer-specific somatic variants as potential sources of neoantigens in cancer. *This repository contains data from the publicly available cell lines used in this study, including B721.221 cells, A375 cells, HCT116 cells and primary healthy melanocytes (Thermo C0025C). The data pertaining to primary patient samples that are part of this study is deposited in dbGaP.
2020-08-01 | GSE143263 | GEO
Project description:We present the first standardized HLA peptidomics dataset generated by the immunopeptidomics community. The dataset is composed of native HLA class I peptides as well as synthetic HLA class II peptides that were acquired in data-dependent acquisition mode using multiple types of mass spectrometers. All laboratories used the spiked-in landmark iRT peptides for retention time normalization and data analysis. The mass spectrometric data were deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD001872. The generated data were used to build HLA allele-specific peptide spectral and assay libraries, which were stored in the SWATHAtlas database. Data presented here are described in more detail in the original eLife article entitled 'An open-source computational and data resource to analyze digital maps of immunopeptidomes'.
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