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Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers
Proteome-centric studies, although have identified numerous lncRNA-encoded polypeptides, lack differential expression analysis of lncRNA-peptidome across primary tissues, cell lines and cancer states. We established a computational-proteogenomic workflow involving re-processing of publicly available...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707329/ https://www.ncbi.nlm.nih.gov/pubmed/31444383 http://dx.doi.org/10.1038/s41598-019-48774-1 |
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author | Chakraborty, Sajib Andrieux, Geoffroy Hasan, A. M. Mahmudul Ahmed, Musaddeque Hosen, Md. Ismail Rahman, Tania Hossain, M. Anwar Boerries, Melanie |
author_facet | Chakraborty, Sajib Andrieux, Geoffroy Hasan, A. M. Mahmudul Ahmed, Musaddeque Hosen, Md. Ismail Rahman, Tania Hossain, M. Anwar Boerries, Melanie |
author_sort | Chakraborty, Sajib |
collection | PubMed |
description | Proteome-centric studies, although have identified numerous lncRNA-encoded polypeptides, lack differential expression analysis of lncRNA-peptidome across primary tissues, cell lines and cancer states. We established a computational-proteogenomic workflow involving re-processing of publicly available LC-MS/MS data, which facilitated the identification of tissue-specific and universally expressed (UExp) lncRNA-polypeptides across 14 primary human tissues and 11 cell lines. The utility of lncRNA-peptidome as cancer-biomarkers was investigated by re-processing LC-MS/MS data from 92 colon-adenocarcinoma (COAD) and 30 normal colon-epithelium tissues. Intriguingly, a significant upregulation of five lncRNA UExp-polypeptides in COAD tissues was observed. Furthermore, clustering of the UExp-polypeptides led to the classification of COAD patients that coincided with the clinical stratification, underlining the prognostic potential of the UExp-polypeptides. Lastly, we identified differential abundance of the UExp-polypeptides in the plasma of prostate-cancer patients highlighting their potential as plasma-biomarker. The analysis of lncRNA-peptidome may pave the way to identify effective tissue/plasma biomarkers for different cancer types. |
format | Online Article Text |
id | pubmed-6707329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67073292019-09-08 Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers Chakraborty, Sajib Andrieux, Geoffroy Hasan, A. M. Mahmudul Ahmed, Musaddeque Hosen, Md. Ismail Rahman, Tania Hossain, M. Anwar Boerries, Melanie Sci Rep Article Proteome-centric studies, although have identified numerous lncRNA-encoded polypeptides, lack differential expression analysis of lncRNA-peptidome across primary tissues, cell lines and cancer states. We established a computational-proteogenomic workflow involving re-processing of publicly available LC-MS/MS data, which facilitated the identification of tissue-specific and universally expressed (UExp) lncRNA-polypeptides across 14 primary human tissues and 11 cell lines. The utility of lncRNA-peptidome as cancer-biomarkers was investigated by re-processing LC-MS/MS data from 92 colon-adenocarcinoma (COAD) and 30 normal colon-epithelium tissues. Intriguingly, a significant upregulation of five lncRNA UExp-polypeptides in COAD tissues was observed. Furthermore, clustering of the UExp-polypeptides led to the classification of COAD patients that coincided with the clinical stratification, underlining the prognostic potential of the UExp-polypeptides. Lastly, we identified differential abundance of the UExp-polypeptides in the plasma of prostate-cancer patients highlighting their potential as plasma-biomarker. The analysis of lncRNA-peptidome may pave the way to identify effective tissue/plasma biomarkers for different cancer types. Nature Publishing Group UK 2019-08-23 /pmc/articles/PMC6707329/ /pubmed/31444383 http://dx.doi.org/10.1038/s41598-019-48774-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chakraborty, Sajib Andrieux, Geoffroy Hasan, A. M. Mahmudul Ahmed, Musaddeque Hosen, Md. Ismail Rahman, Tania Hossain, M. Anwar Boerries, Melanie Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title | Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title_full | Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title_fullStr | Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title_full_unstemmed | Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title_short | Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers |
title_sort | harnessing the tissue and plasma lncrna-peptidome to discover peptide-based cancer biomarkers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707329/ https://www.ncbi.nlm.nih.gov/pubmed/31444383 http://dx.doi.org/10.1038/s41598-019-48774-1 |
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