Literature DB >> 28063982

Proteomic analysis of lysine succinylation of the human pathogen Histoplasma capsulatum.

Longxiang Xie1, Juan Li2, Wanyan Deng1, Zhaoxiao Yu1, Wenjie Fang2, Min Chen2, Wanqing Liao2, Jianping Xie3, Weihua Pan4.   

Abstract

Histoplasma capsulatum, the causative agent of histoplasmosis (also called "Darling's disease"), can affect both immunocompetent and immunocompromised hosts. Post-translational protein modification by lysine succinylation (Ksuc) is a frequent occurrence in eukaryote and prokaryote. Recently, the roles of succinylation and its regulatory enzymes in regulating metabolic pathway in bacteria, mammalian and fungus were highlighted. Here, we report the first global profiling of lysine succinylation, with 463 modification sites in 202 proteins from H. capsulatum NAM1 identified, coupling immune-affinity enrichment using an anti-succinyllysine antibody with mass spectrometry. The bioinformatics results including GO functional and enrichment analysis showed that these succinylated proteins are mainly involved in central metabolism and protein synthesis, consistent with previous reports. 13 lysine succinylation sites on histones including H2A, H2B, H3 and H4 in H. capsulatum were firstly reported. The data is a good resource for further functional characterization of lysine succinylation in H. capsulatum. BIOLOGICAL SIGNIFICANCE: H. capsulatum is the causative agent of lung disease histoplasmosis. The ability of H. capsulatum yeasts to infect and proliferate within macrophages as an intracellular pathogen can be contributed to several virulence factors and metabolic regulation. Lysine succinylation was recently shown to play a critical role in the metabolism regulation of Candida albicans. H. capsulatum succinylated proteins were firstly characterized in this work, and bioinformatics results showed that this modification may also be relevant with central metabolism in H. capsulatum. New succinylation sites on histones were reported. This represents an important resource to address the function of H. capsulatum lysine succinylation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chaperone; Histone proteins; Lysine succinylation; Metabolism; Post-translational protein modification

Mesh:

Substances:

Year:  2017        PMID: 28063982     DOI: 10.1016/j.jprot.2016.12.020

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

1.  Integrated Succinylome and Metabolome Profiling Reveals Crucial Role of S-Ribosylhomocysteine Lyase in Quorum Sensing and Metabolism of Aeromonas hydrophila.

Authors:  Zujie Yao; Zhuang Guo; Yuqian Wang; Wanxin Li; Yuying Fu; Yuexu Lin; Wenxiong Lin; Xiangmin Lin
Journal:  Mol Cell Proteomics       Date:  2018-10-23       Impact factor: 5.911

2.  GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features.

Authors:  Md Mehedi Hasan; Hiroyuki Kurata
Journal:  PLoS One       Date:  2018-10-12       Impact factor: 3.240

Review 3.  Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites.

Authors:  Md Mehedi Hasan; Mst Shamima Khatun; Hiroyuki Kurata
Journal:  Cells       Date:  2019-01-28       Impact factor: 6.600

4.  A systematic identification of species-specific protein succinylation sites using joint element features information.

Authors:  Md Mehedi Hasan; Mst Shamima Khatun; Md Nurul Haque Mollah; Cao Yong; Dianjing Guo
Journal:  Int J Nanomedicine       Date:  2017-08-28

5.  First Succinylome Profiling of Vibrio alginolyticus Reveals Key Role of Lysine Succinylation in Cellular Metabolism and Virulence.

Authors:  Fuyuan Zeng; Huanying Pang; Ying Chen; Hongwei Zheng; Wanxin Li; Srinivasan Ramanathan; Rowena Hoare; Sean J Monaghan; Xiangmin Lin; Jichang Jian
Journal:  Front Cell Infect Microbiol       Date:  2021-02-05       Impact factor: 5.293

6.  An Improved Computational Prediction Model for Lysine Succinylation Sites Mapping on Homo sapiens by Fusing Three Sequence Encoding Schemes with the Random Forest Classifier.

Authors:  Samme Amena Tasmia; Fee Faysal Ahmed; Parvez Mosharaf; Mehedi Hasan; Nurul Haque Mollah
Journal:  Curr Genomics       Date:  2021-02       Impact factor: 2.236

  6 in total

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