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Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library
Cell lines are extensively used tools, therefore a comprehensive proteomic overview of hepatocellular carcinoma (HCC) cell lines and an extensive spectral library for data independent acquisition (DIA) quantification are necessary. Here, we present the proteome of nine commonly used HCC cell lines c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708666/ https://www.ncbi.nlm.nih.gov/pubmed/36446815 http://dx.doi.org/10.1038/s41597-022-01845-x |
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author | Wang, Mingchao Weng, Shuang Li, Chaoying Jiang, Ying Qian, Xiaohong Xu, Ping Ying, Wantao |
author_facet | Wang, Mingchao Weng, Shuang Li, Chaoying Jiang, Ying Qian, Xiaohong Xu, Ping Ying, Wantao |
author_sort | Wang, Mingchao |
collection | PubMed |
description | Cell lines are extensively used tools, therefore a comprehensive proteomic overview of hepatocellular carcinoma (HCC) cell lines and an extensive spectral library for data independent acquisition (DIA) quantification are necessary. Here, we present the proteome of nine commonly used HCC cell lines covering 9,208 protein groups, and the HCC spectral library containing 253,921 precursors, 168,811 peptides and 10,098 protein groups. The proteomic overview reveals the heterogeneity between different cell lines, and the similarity in proliferation and metastasis characteristics and drug targets-expression with tumour tissues. The HCC spectral library generating consumed 108 hours’ runtime for data dependent acquisition (DDA) of 48 runs, 24 hours’ runtime for database searching by MaxQuant version 2.0.3.0, and 1 hour’ runtime for processing by Spectronaut(TM) version 15.2. The HCC spectral library supports quantification of 7,637 protein groups of triples 2-hour DIA analysis of HepG2 and discovering biological alteration. This study provides valuable resources for HCC cell lines and efficient DIA quantification on LC-Orbitrap platform, further help to explore the molecular mechanism and candidate therapeutic targets. |
format | Online Article Text |
id | pubmed-9708666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97086662022-12-01 Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library Wang, Mingchao Weng, Shuang Li, Chaoying Jiang, Ying Qian, Xiaohong Xu, Ping Ying, Wantao Sci Data Data Descriptor Cell lines are extensively used tools, therefore a comprehensive proteomic overview of hepatocellular carcinoma (HCC) cell lines and an extensive spectral library for data independent acquisition (DIA) quantification are necessary. Here, we present the proteome of nine commonly used HCC cell lines covering 9,208 protein groups, and the HCC spectral library containing 253,921 precursors, 168,811 peptides and 10,098 protein groups. The proteomic overview reveals the heterogeneity between different cell lines, and the similarity in proliferation and metastasis characteristics and drug targets-expression with tumour tissues. The HCC spectral library generating consumed 108 hours’ runtime for data dependent acquisition (DDA) of 48 runs, 24 hours’ runtime for database searching by MaxQuant version 2.0.3.0, and 1 hour’ runtime for processing by Spectronaut(TM) version 15.2. The HCC spectral library supports quantification of 7,637 protein groups of triples 2-hour DIA analysis of HepG2 and discovering biological alteration. This study provides valuable resources for HCC cell lines and efficient DIA quantification on LC-Orbitrap platform, further help to explore the molecular mechanism and candidate therapeutic targets. Nature Publishing Group UK 2022-11-29 /pmc/articles/PMC9708666/ /pubmed/36446815 http://dx.doi.org/10.1038/s41597-022-01845-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Wang, Mingchao Weng, Shuang Li, Chaoying Jiang, Ying Qian, Xiaohong Xu, Ping Ying, Wantao Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title | Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title_full | Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title_fullStr | Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title_full_unstemmed | Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title_short | Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
title_sort | proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708666/ https://www.ncbi.nlm.nih.gov/pubmed/36446815 http://dx.doi.org/10.1038/s41597-022-01845-x |
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