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Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer

With the rapid development of high-throughput quantitative proteomic and transcriptomic approaches, the molecular mechanisms of cancers have been comprehensively explored. However, cancer is a multi-dimensional disease with sophisticated regulations, and few studies focus on the crosstalk among mult...

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Autores principales: Song, Yongxi, Wang, Jun, Cheng, Zhongyi, Gao, Peng, Sun, Jingxu, Chen, Xiaowan, Chen, Chen, Wang, Yunlong, Wang, Zhenning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292683/
https://www.ncbi.nlm.nih.gov/pubmed/28165029
http://dx.doi.org/10.1038/srep42053
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author Song, Yongxi
Wang, Jun
Cheng, Zhongyi
Gao, Peng
Sun, Jingxu
Chen, Xiaowan
Chen, Chen
Wang, Yunlong
Wang, Zhenning
author_facet Song, Yongxi
Wang, Jun
Cheng, Zhongyi
Gao, Peng
Sun, Jingxu
Chen, Xiaowan
Chen, Chen
Wang, Yunlong
Wang, Zhenning
author_sort Song, Yongxi
collection PubMed
description With the rapid development of high-throughput quantitative proteomic and transcriptomic approaches, the molecular mechanisms of cancers have been comprehensively explored. However, cancer is a multi-dimensional disease with sophisticated regulations, and few studies focus on the crosstalk among multiomics. In order to explore the molecular mechanisms of gastric cancer (GC), particularly in the process of lymph node metastasis (LNM), we investigated dynamic profiling changes as well as crosstalk between long non-coding RNAs (lncRNAs), the proteome, and the lysine succinylome. Our study reports the first qualitative and quantitative profile of lysine succinylation in GC. We identified a novel mechanism through which the TCA cycle and pentose phosphate pathway might be regulated through lysine succinylation in their core enzymes. We then examined the potential of using lysine succinylation as a biomarker for GC and successfully developed a succinylation-dependent antibody for the K569 site in Caldesmon as putative biomarker. Finally, we investigated the relationship between the lysine succinylome and lncRNAs, identifying potential crosstalks between two lncRNAs and one succinylation site. These results expand our understanding of the mechanisms of tumorigenesis and provide new information for the diagnosis and prognosis of GC.
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spelling pubmed-52926832017-02-10 Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer Song, Yongxi Wang, Jun Cheng, Zhongyi Gao, Peng Sun, Jingxu Chen, Xiaowan Chen, Chen Wang, Yunlong Wang, Zhenning Sci Rep Article With the rapid development of high-throughput quantitative proteomic and transcriptomic approaches, the molecular mechanisms of cancers have been comprehensively explored. However, cancer is a multi-dimensional disease with sophisticated regulations, and few studies focus on the crosstalk among multiomics. In order to explore the molecular mechanisms of gastric cancer (GC), particularly in the process of lymph node metastasis (LNM), we investigated dynamic profiling changes as well as crosstalk between long non-coding RNAs (lncRNAs), the proteome, and the lysine succinylome. Our study reports the first qualitative and quantitative profile of lysine succinylation in GC. We identified a novel mechanism through which the TCA cycle and pentose phosphate pathway might be regulated through lysine succinylation in their core enzymes. We then examined the potential of using lysine succinylation as a biomarker for GC and successfully developed a succinylation-dependent antibody for the K569 site in Caldesmon as putative biomarker. Finally, we investigated the relationship between the lysine succinylome and lncRNAs, identifying potential crosstalks between two lncRNAs and one succinylation site. These results expand our understanding of the mechanisms of tumorigenesis and provide new information for the diagnosis and prognosis of GC. Nature Publishing Group 2017-02-06 /pmc/articles/PMC5292683/ /pubmed/28165029 http://dx.doi.org/10.1038/srep42053 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Song, Yongxi
Wang, Jun
Cheng, Zhongyi
Gao, Peng
Sun, Jingxu
Chen, Xiaowan
Chen, Chen
Wang, Yunlong
Wang, Zhenning
Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title_full Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title_fullStr Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title_full_unstemmed Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title_short Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
title_sort quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292683/
https://www.ncbi.nlm.nih.gov/pubmed/28165029
http://dx.doi.org/10.1038/srep42053
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