Literature DB >> 33084862

BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria.

Jiawei Wang1, Jiahui Li1,2,3, Yi Hou3, Wei Dai1,3, Ruopeng Xie3, Tatiana T Marquez-Lago4,5, André Leier4,5, Tieli Zhou2, Von Torres1, Iain Hay6, Christopher Stubenrauch1, Yanju Zhang3, Jiangning Song7,8,9, Trevor Lithgow1.   

Abstract

Gram-negative bacteria utilize secretion systems to export substrates into their surrounding environment or directly into neighboring cells. These substrates are proteins that function to promote bacterial survival: by facilitating nutrient collection, disabling competitor species or, for pathogens, to disable host defenses. Following a rapid development of computational techniques, a growing number of substrates have been discovered and subsequently validated by wet lab experiments. To date, several online databases have been developed to catalogue these substrates but they have limited user options for in-depth analysis, and typically focus on a single type of secreted substrate. We therefore developed a universal platform, BastionHub, that incorporates extensive functional modules to facilitate substrate analysis and integrates the five major Gram-negative secreted substrate types (i.e. from types I-IV and VI secretion systems). To our knowledge, BastionHub is not only the most comprehensive online database available, it is also the first to incorporate substrates secreted by type I or type II secretion systems. By providing the most up-to-date details of secreted substrates and state-of-the-art prediction and visualized relationship analysis tools, BastionHub will be an important platform that can assist biologists in uncovering novel substrates and formulating new hypotheses. BastionHub is freely available at http://bastionhub.erc.monash.edu/.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33084862      PMCID: PMC7778982          DOI: 10.1093/nar/gkaa899

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  44 in total

Review 1.  Secretion systems in Gram-negative bacteria: structural and mechanistic insights.

Authors:  Tiago R D Costa; Catarina Felisberto-Rodrigues; Amit Meir; Marie S Prevost; Adam Redzej; Martina Trokter; Gabriel Waksman
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2.  Bastion3: a two-layer ensemble predictor of type III secreted effectors.

Authors:  Jiawei Wang; Jiahui Li; Bingjiao Yang; Ruopeng Xie; Tatiana T Marquez-Lago; André Leier; Morihiro Hayashida; Tatsuya Akutsu; Yanju Zhang; Kuo-Chen Chou; Joel Selkrig; Tieli Zhou; Jiangning Song; Trevor Lithgow
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

3.  Database resources of the National Center for Biotechnology Information.

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Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

Review 4.  Mapping bacterial effector arsenals: in vivo and in silico approaches to defining the protein features dictating effector secretion by bacteria.

Authors:  Yi Wei Lee; Jiawei Wang; Hayley J Newton; Trevor Lithgow
Journal:  Curr Opin Microbiol       Date:  2020-06-05       Impact factor: 7.934

5.  Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.

Authors:  Yi An; Jiawei Wang; Chen Li; André Leier; Tatiana Marquez-Lago; Jonathan Wilksch; Yang Zhang; Geoffrey I Webb; Jiangning Song; Trevor Lithgow
Journal:  Brief Bioinform       Date:  2018-01-01       Impact factor: 11.622

Review 6.  The Type IX Secretion System (T9SS): Highlights and Recent Insights into Its Structure and Function.

Authors:  Anna M Lasica; Miroslaw Ksiazek; Mariusz Madej; Jan Potempa
Journal:  Front Cell Infect Microbiol       Date:  2017-05-26       Impact factor: 5.293

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Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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Authors:  Stephen K Burley; Helen M Berman; Charmi Bhikadiya; Chunxiao Bi; Li Chen; Luigi Di Costanzo; Cole Christie; Ken Dalenberg; Jose M Duarte; Shuchismita Dutta; Zukang Feng; Sutapa Ghosh; David S Goodsell; Rachel K Green; Vladimir Guranovic; Dmytro Guzenko; Brian P Hudson; Tara Kalro; Yuhe Liang; Robert Lowe; Harry Namkoong; Ezra Peisach; Irina Periskova; Andreas Prlic; Chris Randle; Alexander Rose; Peter Rose; Raul Sala; Monica Sekharan; Chenghua Shao; Lihua Tan; Yi-Ping Tao; Yana Valasatava; Maria Voigt; John Westbrook; Jesse Woo; Huanwang Yang; Jasmine Young; Marina Zhuravleva; Christine Zardecki
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  Forensic genomics of a novel Klebsiella quasipneumoniae type from a neonatal intensive care unit in China reveals patterns of colonization, evolution and epidemiology.

Authors:  Laura Perlaza-Jiménez; Qing Wu; Von Vergel L Torres; Xiaoxiao Zhang; Jiahui Li; Andrea Rocker; Trevor Lithgow; Tieli Zhou; Dhanasekaran Vijaykrishna
Journal:  Microb Genom       Date:  2020-10
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