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- Publisher Website: 10.1080/14789450.2021.1914594
- Scopus: eid_2-s2.0-85104770503
- PMID: 33877947
- WOS: WOS:000641804500001
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Article: Proteogenomic interrogation of cancer cell lines: an overview of the field
Title | Proteogenomic interrogation of cancer cell lines: an overview of the field |
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Authors | |
Keywords | Cancer cell lines mass spectrometry protein quantification proteogenomics |
Issue Date | 2021 |
Publisher | Taylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ieru20#.VgGd50aFOnI |
Citation | Expert Review of Proteomics, 2021, v. 18 n. 3, p. 221-232 How to Cite? |
Abstract | Introduction: Cancer cell lines (CCLs) have been a major resource for cancer research. Over the past couple of decades, they have been instrumental in omic profiling method development and as model systems to generate new knowledge in cell and cancer biology. More recently, with the increasing amount of genomic, transcriptomic and proteomic data being generated in hundreds of CCLs, there is growing potential for integrative proteogenomic data analyses to be performed.
Areas covered: In this review, we first describe the most commonly used proteome profiling methods in CCLs. We then discuss how these proteomics data can be integrated with genomics data for proteogenomics analyses. Finally, we highlight some of the recent biological discoveries that have arisen from proteogenomics analyses of CCLs.
Expert opinion: Protegeonomics analyses of CCLs have so far enabled the discovery of novel proteins and proteoforms. It has also improved our understanding of biological processes including post-transcriptional regulation of protein abundance and the presentation of antigens by major histocompatibility complex alleles. With proteomics data to be generated in hundreds to thousands of CCLs in coming years, there will be further potential for large-scale proteogenomics analyses and data integration with the phenotypically well-characterized CCLs. |
Persistent Identifier | http://hdl.handle.net/10722/299351 |
ISSN | 2023 Impact Factor: 3.8 2023 SCImago Journal Rankings: 0.985 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Tsang, O | - |
dc.contributor.author | Wong, JWH | - |
dc.date.accessioned | 2021-05-10T07:00:33Z | - |
dc.date.available | 2021-05-10T07:00:33Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Expert Review of Proteomics, 2021, v. 18 n. 3, p. 221-232 | - |
dc.identifier.issn | 1478-9450 | - |
dc.identifier.uri | http://hdl.handle.net/10722/299351 | - |
dc.description.abstract | Introduction: Cancer cell lines (CCLs) have been a major resource for cancer research. Over the past couple of decades, they have been instrumental in omic profiling method development and as model systems to generate new knowledge in cell and cancer biology. More recently, with the increasing amount of genomic, transcriptomic and proteomic data being generated in hundreds of CCLs, there is growing potential for integrative proteogenomic data analyses to be performed. Areas covered: In this review, we first describe the most commonly used proteome profiling methods in CCLs. We then discuss how these proteomics data can be integrated with genomics data for proteogenomics analyses. Finally, we highlight some of the recent biological discoveries that have arisen from proteogenomics analyses of CCLs. Expert opinion: Protegeonomics analyses of CCLs have so far enabled the discovery of novel proteins and proteoforms. It has also improved our understanding of biological processes including post-transcriptional regulation of protein abundance and the presentation of antigens by major histocompatibility complex alleles. With proteomics data to be generated in hundreds to thousands of CCLs in coming years, there will be further potential for large-scale proteogenomics analyses and data integration with the phenotypically well-characterized CCLs. | - |
dc.language | eng | - |
dc.publisher | Taylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ieru20#.VgGd50aFOnI | - |
dc.relation.ispartof | Expert Review of Proteomics | - |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. | - |
dc.subject | Cancer cell lines | - |
dc.subject | mass spectrometry | - |
dc.subject | protein quantification | - |
dc.subject | proteogenomics | - |
dc.title | Proteogenomic interrogation of cancer cell lines: an overview of the field | - |
dc.type | Article | - |
dc.identifier.email | Tsang, O: ot7272@hku.hk | - |
dc.identifier.email | Wong, JWH: jwhwong@hku.hk | - |
dc.identifier.authority | Wong, JWH=rp02363 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/14789450.2021.1914594 | - |
dc.identifier.pmid | 33877947 | - |
dc.identifier.scopus | eid_2-s2.0-85104770503 | - |
dc.identifier.hkuros | 322424 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 221 | - |
dc.identifier.epage | 232 | - |
dc.identifier.isi | WOS:000641804500001 | - |
dc.publisher.place | United Kingdom | - |