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Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity
Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteome strategies are increasingly used for detecting and validating protein biomarkers and therapeutic targets. Here, based on an in-depth proteome analysis of seven pancreatic cancer cell lines, we built a pancreas-specific mass spe...
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/PMC9184632/ https://www.ncbi.nlm.nih.gov/pubmed/35680938 http://dx.doi.org/10.1038/s41597-022-01407-1 |
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author | Kong, Ran Qian, Xiaohong Ying, Wantao |
author_facet | Kong, Ran Qian, Xiaohong Ying, Wantao |
author_sort | Kong, Ran |
collection | PubMed |
description | Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteome strategies are increasingly used for detecting and validating protein biomarkers and therapeutic targets. Here, based on an in-depth proteome analysis of seven pancreatic cancer cell lines, we built a pancreas-specific mass spectrum library containing 10633 protein groups and 184551 peptides. The proteome difference among the seven pancreatic cancer cells was significant, especially for the divergent expression of proteins related to epithelial-mesenchymal transition (EMT). The spectra library was applied to explore the proteome difference of PANC-1 and BxPC-3 cells upon gemcitabine (GEM) treatment, and potential GEM targets were identified. The cytotoxicity test and GEM target analysis found that HPAC, CFPAC-1, and BxPC-3 were sensitive to GEM treatment, whereas PANC-1 and AsPC-1 were resistant. Finally, we found EMT was significant for CFPAC-1, AsPC-1, and PANC-1 cells, whereas BxPC-3 and HPAC cells showed more typical epithelial features. This library provides a valuable resource for in-depth proteomic analysis on pancreatic cancer cell lines, meeting the urgent demands for cell line-dependent protein differences and targeted drug analysis. |
format | Online Article Text |
id | pubmed-9184632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91846322022-06-11 Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity Kong, Ran Qian, Xiaohong Ying, Wantao Sci Data Data Descriptor Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteome strategies are increasingly used for detecting and validating protein biomarkers and therapeutic targets. Here, based on an in-depth proteome analysis of seven pancreatic cancer cell lines, we built a pancreas-specific mass spectrum library containing 10633 protein groups and 184551 peptides. The proteome difference among the seven pancreatic cancer cells was significant, especially for the divergent expression of proteins related to epithelial-mesenchymal transition (EMT). The spectra library was applied to explore the proteome difference of PANC-1 and BxPC-3 cells upon gemcitabine (GEM) treatment, and potential GEM targets were identified. The cytotoxicity test and GEM target analysis found that HPAC, CFPAC-1, and BxPC-3 were sensitive to GEM treatment, whereas PANC-1 and AsPC-1 were resistant. Finally, we found EMT was significant for CFPAC-1, AsPC-1, and PANC-1 cells, whereas BxPC-3 and HPAC cells showed more typical epithelial features. This library provides a valuable resource for in-depth proteomic analysis on pancreatic cancer cell lines, meeting the urgent demands for cell line-dependent protein differences and targeted drug analysis. Nature Publishing Group UK 2022-06-09 /pmc/articles/PMC9184632/ /pubmed/35680938 http://dx.doi.org/10.1038/s41597-022-01407-1 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 Kong, Ran Qian, Xiaohong Ying, Wantao Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title | Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title_full | Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title_fullStr | Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title_full_unstemmed | Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title_short | Pancreatic cancer cells spectral library by DIA-MS and the phenotype analysis of gemcitabine sensitivity |
title_sort | pancreatic cancer cells spectral library by dia-ms and the phenotype analysis of gemcitabine sensitivity |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184632/ https://www.ncbi.nlm.nih.gov/pubmed/35680938 http://dx.doi.org/10.1038/s41597-022-01407-1 |
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