Protein-gene Expression Nexus: Comprehensive characterization of human cancer cell lines with proteogenomic analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hyung, Daejin | - |
dc.contributor.author | Baek, Min-Jeong | - |
dc.contributor.author | Lee, Jongkeun | - |
dc.contributor.author | Cho, Juyeon | - |
dc.contributor.author | Kim, Hyoun Sook | - |
dc.contributor.author | Park, Charny | - |
dc.contributor.author | Cho, Soo Young | - |
dc.date.accessioned | 2023-08-16T08:31:55Z | - |
dc.date.available | 2023-08-16T08:31:55Z | - |
dc.date.issued | 2021-08 | - |
dc.identifier.issn | 2001-0370 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114348 | - |
dc.description.abstract | Researchers have gained new therapeutic insights using multi-omics platform approaches to study DNA, RNA, and proteins of comprehensively characterized human cancer cell lines. To improve our understanding of the molecular features associated with oncogenic modulation in cancer, we proposed a proteogenomic database for human cancer cell lines, called Protein-gene Expression Nexus (PEN). We have expanded the characterization of cancer cell lines to include genetic, mRNA, and protein data of 145 cancer cell lines from various public studies. PEN contains proteomic and phosphoproteomic data on 4,129,728 peptides, 13,862 proteins, 7,138 phosphorylation site-associated genomic variations, 117 studies, and 12 cancer. We analyzed functional characterizations along with the integrated datasets, such as cis/trans association for copy number alteration (CNA), single amino acid variation for coding genes, posttranslation modification site variation for Single Amino Acid Variation, and novel peptide expression for noncoding regions and fusion genes. PEN provides a user-friendly interface for searching, browsing, and downloading data and also supports the visualization of genome-wide association between CNA and expression, novel peptide landscape, mRNA-protein abundance, and functional annotation. Together, this dataset and PEN data portal provide a resource to accelerate cancer research using model cancer cell lines. PEN is freely accessible at http://combio.snu.ac.kr/pen. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Research Network of Computational and Structural Biotechnology | - |
dc.title | Protein-gene Expression Nexus: Comprehensive characterization of human cancer cell lines with proteogenomic analysis | - |
dc.type | Article | - |
dc.publisher.location | 네델란드 | - |
dc.identifier.doi | 10.1016/j.csbj.2021.08.022 | - |
dc.identifier.scopusid | 2-s2.0-85113474037 | - |
dc.identifier.wosid | 000694712900014 | - |
dc.identifier.bibliographicCitation | Computational and Structural Biotechnology Journal, v.19, pp 4959 - 4969 | - |
dc.citation.title | Computational and Structural Biotechnology Journal | - |
dc.citation.volume | 19 | - |
dc.citation.startPage | 4959 | - |
dc.citation.endPage | 4969 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | PROTEOMICS | - |
dc.subject.keywordPlus | STRATEGIES | - |
dc.subject.keywordPlus | LANDSCAPEPHOS | - |
dc.subject.keywordPlus | PHORYLATION | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | MUTATIONS | - |
dc.subject.keywordPlus | PEPTIDES | - |
dc.subject.keywordPlus | DRAFT | - |
dc.subject.keywordAuthor | Cancer cell line | - |
dc.subject.keywordAuthor | Phosphoproteomics | - |
dc.subject.keywordAuthor | Proteogenomics | - |
dc.subject.keywordAuthor | Single amino acid variation | - |
dc.subject.keywordAuthor | Systems biology | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2001037021003536?pes=vor | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.