Literature DB >> 29882248

Quantitative Global Proteome and Lysine Succinylome Analyses Reveal the Effects of Energy Metabolism in Renal Cell Carcinoma.

Naiwen Zhang1,2, Ruxu Gao1,2, Jianyu Yang1,2, Yuyan Zhu1,2, Zhe Zhang1,2, Xiaolong Xu1,2, Jianfeng Wang1,2, Xiankui Liu1,2, Zeliang Li1,2, Zhenhua Li1,2, Daxin Gong1, Jun Li1, Jianbin Bi1,2, Chuize Kong1,2.   

Abstract

In light of the increasing incidence of renal cell carcinoma (RCC), its molecular mechanisms have been comprehensively explored in numerous recent studies. However, few studies focus on the influence of multi-factor interactions during the occurrence and development of RCC. This study aims to investigate the quantitative global proteome and the changes in lysine succinylation in related proteins, seeking to facilitate a better understanding of the molecular mechanisms underlying RCC. LC-MS/MS combined with bioinformatics analysis are used to quantitatively detect the perspectives at the global protein level. IP and WB analysis were conducted to further verify the alternations of related proteins and lysine succinylation. A total of 3,217 proteins and 1,238 lysine succinylation sites are quantified in RCC tissues, and 668 differentially expressed proteins and 161 differentially expressed lysine succinylation sites are identified. Besides, expressions of PGK1 and PKM2 at protein and lysine, succinylation levels are significantly altered in RCC tissues. Bioinformatics analysis indicates that the glycolysis pathway is a potential mechanism of RCC progression and lysine succinylation may plays a potential role in energy metabolism. These results can provide a new direction for exploring the molecular mechanism of RCC tumorigenesis.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  LC-MS/MS; lysine succinylome; metabolism; proteomes; renal cell carcinoma

Mesh:

Substances:

Year:  2018        PMID: 29882248     DOI: 10.1002/pmic.201800001

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

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Review 2.  PGK1-mediated cancer progression and drug resistance.

Authors:  Yu He; Yang Luo; Dan Zhang; Xixi Wang; Peng Zhang; Haocheng Li; Samina Ejaz; Shufang Liang
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3.  Intratumoral fibrosis and patterns of immune infiltration in clear cell renal cell carcinoma.

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4.  Predictive model for recurrence of renal cell carcinoma by comparing pre- and postoperative urinary metabolite concentrations.

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Review 5.  Oncometabolites drive tumorigenesis by enhancing protein acylation: from chromosomal remodelling to nonhistone modification.

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Journal:  J Exp Clin Cancer Res       Date:  2022-04-15

6.  Improving protein succinylation sites prediction using embeddings from protein language model.

Authors:  Suresh Pokharel; Pawel Pratyush; Michael Heinzinger; Robert H Newman; Dukka B Kc
Journal:  Sci Rep       Date:  2022-10-08       Impact factor: 4.996

7.  Co-occurrence of Protein Crotonylation and 2-Hydroxyisobutyrylation in the Proteome of End-Stage Renal Disease.

Authors:  Jingjing Dong; Yixi Li; Fengping Zheng; Wenbiao Chen; Shaoying Huang; Xianqing Zhou; Kang Wang; Wanxia Cai; HaiPing Liu; Lianghong Yin; Qiang Li; Donge Tang; Yong Dai
Journal:  ACS Omega       Date:  2021-06-10

Review 8.  Proteomic approaches for characterizing renal cell carcinoma.

Authors:  David J Clark; Hui Zhang
Journal:  Clin Proteomics       Date:  2020-07-29       Impact factor: 3.988

  8 in total

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