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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...

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Autores principales: Kong, Ran, Qian, Xiaohong, Ying, Wantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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