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Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry

BACKGROUND: Evidences indicated that non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) might originate from the same cell type, which however ended up to be two different subtypes of lung carcinoma, requiring different therapeutic regimens. We aimed to identify the differences bet...

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Autores principales: Wu, Jingyu, Hao, Zhifang, Ma, Chen, Li, Pengfei, Dang, Liuyi, Sun, Shisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183755/
https://www.ncbi.nlm.nih.gov/pubmed/32351780
http://dx.doi.org/10.7717/peerj.8779
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author Wu, Jingyu
Hao, Zhifang
Ma, Chen
Li, Pengfei
Dang, Liuyi
Sun, Shisheng
author_facet Wu, Jingyu
Hao, Zhifang
Ma, Chen
Li, Pengfei
Dang, Liuyi
Sun, Shisheng
author_sort Wu, Jingyu
collection PubMed
description BACKGROUND: Evidences indicated that non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) might originate from the same cell type, which however ended up to be two different subtypes of lung carcinoma, requiring different therapeutic regimens. We aimed to identify the differences between these two subtypes of lung cancer by using integrated proteome and genome approaches. METHODS AND MATERIALS: Two representative cell lines for each lung cancer subtype were comparatively analysed by quantitative proteomics, and their corresponding transcriptomics data were obtained from the Gene Expression Omnibus database. The integrated analyses of proteogenomic data were performed to determine key differentially expressed proteins that were positively correlated between proteomic and transcriptomic data. RESULT: The proteomics analysis revealed 147 differentially expressed proteins between SCLC and NSCLC from a total of 3,970 identified proteins. Combined with available transcriptomics data, we further confirmed 14 differentially expressed proteins including six known and eight new lung cancer related proteins that were positively correlated with their transcriptomics data. These proteins are mainly involved in cell migration, proliferation, and invasion. CONCLUSION: The proteogenomic data on both NSCLC and SCLC cell lines presented in this manuscript is complementary to existing genomic and proteomic data related to lung cancers and will be crucial for a systems biology-level understanding of the molecular mechanism of lung cancers. The raw mass spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD015270.
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spelling pubmed-71837552020-04-29 Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry Wu, Jingyu Hao, Zhifang Ma, Chen Li, Pengfei Dang, Liuyi Sun, Shisheng PeerJ Bioinformatics BACKGROUND: Evidences indicated that non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) might originate from the same cell type, which however ended up to be two different subtypes of lung carcinoma, requiring different therapeutic regimens. We aimed to identify the differences between these two subtypes of lung cancer by using integrated proteome and genome approaches. METHODS AND MATERIALS: Two representative cell lines for each lung cancer subtype were comparatively analysed by quantitative proteomics, and their corresponding transcriptomics data were obtained from the Gene Expression Omnibus database. The integrated analyses of proteogenomic data were performed to determine key differentially expressed proteins that were positively correlated between proteomic and transcriptomic data. RESULT: The proteomics analysis revealed 147 differentially expressed proteins between SCLC and NSCLC from a total of 3,970 identified proteins. Combined with available transcriptomics data, we further confirmed 14 differentially expressed proteins including six known and eight new lung cancer related proteins that were positively correlated with their transcriptomics data. These proteins are mainly involved in cell migration, proliferation, and invasion. CONCLUSION: The proteogenomic data on both NSCLC and SCLC cell lines presented in this manuscript is complementary to existing genomic and proteomic data related to lung cancers and will be crucial for a systems biology-level understanding of the molecular mechanism of lung cancers. The raw mass spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD015270. PeerJ Inc. 2020-04-23 /pmc/articles/PMC7183755/ /pubmed/32351780 http://dx.doi.org/10.7717/peerj.8779 Text en ©2020 Wu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Wu, Jingyu
Hao, Zhifang
Ma, Chen
Li, Pengfei
Dang, Liuyi
Sun, Shisheng
Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title_full Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title_fullStr Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title_full_unstemmed Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title_short Comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
title_sort comparative proteogenomics profiling of non-small and small lung carcinoma cell lines using mass spectrometry
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183755/
https://www.ncbi.nlm.nih.gov/pubmed/32351780
http://dx.doi.org/10.7717/peerj.8779
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