Matrix stiffness regulates the protein profile of extracellular vesicles of pancreatic cancer cell lines.

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Proteomics Pub Date : 2024-09-16 DOI:10.1002/pmic.202400058
Benedetta Ferrara, Sandrine Bourgoin-Voillard, Damien Habert, Benoit Vallée, Alba Nicolas-Boluda, Isidora Simanic, Michel Seve, Benoit Vingert, Florence Gazeau, Flavia Castellano, José Cohen, José Courty, Ilaria Cascone
{"title":"Matrix stiffness regulates the protein profile of extracellular vesicles of pancreatic cancer cell lines.","authors":"Benedetta Ferrara, Sandrine Bourgoin-Voillard, Damien Habert, Benoit Vallée, Alba Nicolas-Boluda, Isidora Simanic, Michel Seve, Benoit Vingert, Florence Gazeau, Flavia Castellano, José Cohen, José Courty, Ilaria Cascone","doi":"10.1002/pmic.202400058","DOIUrl":null,"url":null,"abstract":"<p><p>The fibrotic stroma characterizing pancreatic ductal adenocarcinoma (PDAC) derives from a progressive tissue rigidification, which induces epithelial mesenchymal transition and metastatic dissemination. The aim of this study was to investigate the influence of matrix stiffness on PDAC progression by analyzing the proteome of PDAC-derived extracellular vesicles (EVs). PDAC cell lines (mPDAC and KPC) were grown on synthetic supports with a stiffness close to non-tumor (NT) or tumor tissue (T), and the protein expression levels in cell-derived EVs were analyzed by a quantitative MS<sup>E</sup> label-free mass spectrometry approach. Our analysis figured out 15 differentially expressed proteins (DEPs) in mPDAC-EVs and 20 DEPs in KPC-EVs in response to matrix rigidification. Up-regulated proteins participate to the processes of metabolism, matrix remodeling, and immune response, altogether hallmarks of PDAC progression. A multimodal network analysis revealed that the majority of DEPs are strongly related to pancreatic cancer. Interestingly, among DEPs, 11 related genes (ACTB/ANXA7/C3/IGSF8/LAMC1/LGALS3/PCD6IP/SFN/TPM3/VARS/YWHAZ) for mPDAC-EVs and 9 (ACTB/ALDH2/GAPDH/HNRNPA2B/ITGA2/NEXN/PKM/RPN1/S100A6) for KPC-EVs were significantly overexpressed in tumor tissues according to gene expression profiling interaction analysis (GEPIA). Concerning the potential clinical relevance of these data, the cluster of ACTB, ITGA2, GAPDH and PKM genes displayed an adverse effect (p < 0.05) on the overall survival of PDAC patients.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/pmic.202400058","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

The fibrotic stroma characterizing pancreatic ductal adenocarcinoma (PDAC) derives from a progressive tissue rigidification, which induces epithelial mesenchymal transition and metastatic dissemination. The aim of this study was to investigate the influence of matrix stiffness on PDAC progression by analyzing the proteome of PDAC-derived extracellular vesicles (EVs). PDAC cell lines (mPDAC and KPC) were grown on synthetic supports with a stiffness close to non-tumor (NT) or tumor tissue (T), and the protein expression levels in cell-derived EVs were analyzed by a quantitative MSE label-free mass spectrometry approach. Our analysis figured out 15 differentially expressed proteins (DEPs) in mPDAC-EVs and 20 DEPs in KPC-EVs in response to matrix rigidification. Up-regulated proteins participate to the processes of metabolism, matrix remodeling, and immune response, altogether hallmarks of PDAC progression. A multimodal network analysis revealed that the majority of DEPs are strongly related to pancreatic cancer. Interestingly, among DEPs, 11 related genes (ACTB/ANXA7/C3/IGSF8/LAMC1/LGALS3/PCD6IP/SFN/TPM3/VARS/YWHAZ) for mPDAC-EVs and 9 (ACTB/ALDH2/GAPDH/HNRNPA2B/ITGA2/NEXN/PKM/RPN1/S100A6) for KPC-EVs were significantly overexpressed in tumor tissues according to gene expression profiling interaction analysis (GEPIA). Concerning the potential clinical relevance of these data, the cluster of ACTB, ITGA2, GAPDH and PKM genes displayed an adverse effect (p < 0.05) on the overall survival of PDAC patients.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基质硬度调节胰腺癌细胞系细胞外囊泡的蛋白质谱。
胰腺导管腺癌(PDAC)纤维化基质的特点是组织逐渐僵化,从而诱发上皮间质转化和转移扩散。本研究旨在通过分析PDAC衍生的胞外囊泡蛋白质组,研究基质僵化对PDAC进展的影响。PDAC细胞系(mPDAC和KPC)生长在硬度接近非肿瘤(NT)或肿瘤组织(T)的合成支持物上,细胞衍生的EVs中的蛋白质表达水平通过定量MSE无标记质谱方法进行了分析。我们的分析发现,在mPDAC-EVs和KPC-EVs中,分别有15种和20种蛋白质在基质僵化过程中表达不同。上调的蛋白质参与了新陈代谢、基质重塑和免疫反应等过程,这些都是PDAC进展的标志。多模态网络分析显示,大多数 DEPs 与胰腺癌密切相关。有趣的是,在 DEPs 中根据基因表达谱相互作用分析(GEPIA),mPDAC-EVs 的 11 个相关基因(ACTB/ANXA7/C3/IGSF8/LAMC1/LGALS3/PCD6IP/SFN/TPM3/VARS/YWHAZ)和 KPC-EVs 的 9 个相关基因(ACTB/ALDH2/GAPDH/HNRNPA2B/ITGA2/NEXN/PKM/RPN1/S100A6)在肿瘤组织中显著过表达。关于这些数据的潜在临床意义,ACTB、ITGA2、GAPDH 和 PKM 基因群显示出不利影响(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
期刊最新文献
Omics Studies in CKD: Diagnostic Opportunities and Therapeutic Potential. Proteome integral solubility alteration via label-free DIA approach (PISA-DIA), game changer in drug target deconvolution. Transforming peptide hormone prediction: The role of AI in modern proteomics. Integrative Proteomic and Phosphoproteomic Profiling Reveals the Salt-Responsive Mechanisms in Two Rice Varieties (Oryza Sativa subsp. Japonica and Indica). Proteomics analysis of round and wrinkled pea (Pisum sativum L.) seeds during different development periods.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1