Literature DB >> 22833525

RedoxDB--a curated database for experimentally verified protein oxidative modification.

Ming-an Sun1, Yejun Wang, Han Cheng, Qing Zhang, Wei Ge, Dianjing Guo.   

Abstract

SUMMARY: Redox regulation and signaling, which are involved in various cellular processes, have become one of the research focuses in the past decade. Cysteine thiol groups are particularly susceptible to post-translational modification, and their reversible oxidation is of critical role in redox regulation and signaling. With the tremendous improvement of techniques, hundreds of redox proteins along with their redox-sensitive cysteines have been reported, and the number is still fast growing. However, until now there is no database to accommodate the rapid accumulation of information on protein oxidative modification. Here we present RedoxDB-a manually curated database for experimentally validated redox proteins. RedoxDB (version 1.0) consists of two datasets (A and B, for proteins with or without verified modified cysteines, respectively) and includes 2157 redox proteins containing 2203 cysteine residues with oxidative modification. For each modified cysteine, the exact position, modification type and flanking sequence are provided. Additional information, including gene name, organism, sequence, literature references and links to UniProt and PDB, is also supplied. The database supports several functions including data search, blast and browsing. Bulk download of the entire dataset is also available. We expect that RedoxDB will be useful for both experimental studies and computational analyses of protein oxidative modification. AVAILABILITY: The database is freely available at: http://biocomputer.bio.cuhk.edu.hk/RedoxDB. CONTACT: djguo@cuhk.edu.hk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Online.

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Year:  2012        PMID: 22833525     DOI: 10.1093/bioinformatics/bts468

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  24 in total

Review 1.  Oxidant sensing by reversible disulfide bond formation.

Authors:  Claudia M Cremers; Ursula Jakob
Journal:  J Biol Chem       Date:  2013-07-16       Impact factor: 5.157

2.  Evolutionary acquisition of cysteines determines FOXO paralog-specific redox signaling.

Authors:  Marrit Putker; Harmjan R Vos; Kim van Dorenmalen; Hesther de Ruiter; Ana G Duran; Berend Snel; Boudewijn M T Burgering; Michiel Vermeulen; Tobias B Dansen
Journal:  Antioxid Redox Signal       Date:  2015-01-01       Impact factor: 8.401

3.  Global analysis of myocardial peptides containing cysteines with irreversible sulfinic and sulfonic acid post-translational modifications.

Authors:  Jana Paulech; Kiersten A Liddy; Kasper Engholm-Keller; Melanie Y White; Stuart J Cordwell
Journal:  Mol Cell Proteomics       Date:  2015-01-05       Impact factor: 5.911

Review 4.  The Expanding Landscape of the Thiol Redox Proteome.

Authors:  Jing Yang; Kate S Carroll; Daniel C Liebler
Journal:  Mol Cell Proteomics       Date:  2015-10-30       Impact factor: 5.911

5.  CarbonylDB: a curated data-resource of protein carbonylation sites.

Authors:  R Shyama Prasad Rao; Ning Zhang; Dong Xu; Ian Max Møller
Journal:  Bioinformatics       Date:  2018-07-15       Impact factor: 6.937

Review 6.  Quantitative proteomic characterization of redox-dependent post-translational modifications on protein cysteines.

Authors:  Jicheng Duan; Matthew J Gaffrey; Wei-Jun Qian
Journal:  Mol Biosyst       Date:  2017-05-02

Review 7.  Proteomic approaches to quantify cysteine reversible modifications in aging and neurodegenerative diseases.

Authors:  Liqing Gu; Renã A S Robinson
Journal:  Proteomics Clin Appl       Date:  2016-11-11       Impact factor: 3.494

Review 8.  Characterization of cellular oxidative stress response by stoichiometric redox proteomics.

Authors:  Tong Zhang; Matthew J Gaffrey; Xiaolu Li; Wei-Jun Qian
Journal:  Am J Physiol Cell Physiol       Date:  2020-12-02       Impact factor: 4.249

9.  Analysis of Brain Protein Stability Changes in Mouse Models of Normal Aging and α-Synucleinopathy Reveals Age- and Disease-Related Differences.

Authors:  Renze Ma; Julia H R Johnson; Yun Tang; Michael C Fitzgerald
Journal:  J Proteome Res       Date:  2021-10-04       Impact factor: 5.370

10.  Time line of redox events in aging postmitotic cells.

Authors:  Nicolas Brandes; Heather Tienson; Antje Lindemann; Victor Vitvitsky; Dana Reichmann; Ruma Banerjee; Ursula Jakob
Journal:  Elife       Date:  2013-02-05       Impact factor: 8.140

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