Literature DB >> 33840009

Label-Free Method Development for Hydroxyproline PTM Mapping in Human Plasma Proteome.

Shakilur Rahman1, Gourab Bhattacharje1, Debabrata Dutta1,2, Swarnendu Bag3, Bidhan Chandra Sing4, Jyotirmoy Chatterjee3, Amit Basak5,6, Amit Kumar Das7,8.   

Abstract

Post-translational modifications (PTMs) impart structural heterogeneities that can alter plasma proteins' functions in various pathophysiological processes. However, the identification and mapping of PTMs in untargeted plasma proteomics is still a challenge due to the presence of diverse components in blood. Here, we report a label-free method for identifying and mapping hydroxylated proteins using tandem mass spectrometry (MS/MS) in the human plasma sample. Our untargeted proteomics approach led us to identify 676 de novo sequenced peptides in human plasma that correspond to 201 proteins, out of which 11 plasma proteins were found to be hydroxylated. Among these hydroxylated proteins, Immunoglobulin A1 (IgA1) heavy chain was found to be modified at residue 285 (Pro285 to Hyp285), which was further validated by MS/MS study. Molecular dynamics (MD) simulation analysis demonstrated that this proline hydroxylation in IgA1 caused both local and global structural changes. Overall, this study provides a comprehensive understanding of the protein profile containing Hyp PTMs in human plasma and shows the future perspective of identifying and discriminating Hyp PTM in the normal and the diseased proteomes.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Hydroxyproline; Immunoglobulin; Label-free methods; MS/MS; Molecular dynamics simulation; Plasma proteomics; Post-translational modifications

Mesh:

Substances:

Year:  2021        PMID: 33840009     DOI: 10.1007/s10930-021-09984-7

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   2.371


  39 in total

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Authors:  K Hansson; J Stenflo
Journal:  J Thromb Haemost       Date:  2005-08-26       Impact factor: 5.824

Review 2.  The winding path of protein methylation research: milestones and new frontiers.

Authors:  Jernej Murn; Yang Shi
Journal:  Nat Rev Mol Cell Biol       Date:  2017-05-17       Impact factor: 94.444

Review 3.  Ubiquitylation at the crossroads of development and disease.

Authors:  Michael Rape
Journal:  Nat Rev Mol Cell Biol       Date:  2017-09-20       Impact factor: 94.444

4.  Protein Inference Using PIA Workflows and PSI Standard File Formats.

Authors:  Julian Uszkoreit; Yasset Perez-Riverol; Britta Eggers; Katrin Marcus; Martin Eisenacher
Journal:  J Proteome Res       Date:  2018-12-05       Impact factor: 4.466

5.  The glycosylation and structure of human serum IgA1, Fab, and Fc regions and the role of N-glycosylation on Fcα receptor interactions.

Authors:  T S Mattu; R J Pleass; A C Willis; M Kilian; M R Wormald; A C Lellouch; P M Rudd; J M Woof; R A Dwek
Journal:  J Biol Chem       Date:  1998-01-23       Impact factor: 5.157

6.  The roles of post-translational modifications in the context of protein interaction networks.

Authors:  Guangyou Duan; Dirk Walther
Journal:  PLoS Comput Biol       Date:  2015-02-18       Impact factor: 4.475

Review 7.  Protein post-translational modifications and regulation of pluripotency in human stem cells.

Authors:  Yu-Chieh Wang; Suzanne E Peterson; Jeanne F Loring
Journal:  Cell Res       Date:  2013-11-12       Impact factor: 25.617

Review 8.  Posttranslational Modifications and the Immunogenicity of Biotherapeutics.

Authors:  Roy Jefferis
Journal:  J Immunol Res       Date:  2016-04-14       Impact factor: 4.818

9.  Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics.

Authors:  Erik Malmström; Ola Kilsgård; Simon Hauri; Emanuel Smeds; Heiko Herwald; Lars Malmström; Johan Malmström
Journal:  Nat Commun       Date:  2016-01-06       Impact factor: 14.919

10.  Posttranslational modifications of blood-derived alpha-synuclein as biochemical markers for Parkinson's disease.

Authors:  Hugo Vicente Miranda; Rafaela Cássio; Leonor Correia-Guedes; Marcos António Gomes; Ana Chegão; Elisa Miranda; Tiago Soares; Miguel Coelho; Mário Miguel Rosa; Joaquim J Ferreira; Tiago Fleming Outeiro
Journal:  Sci Rep       Date:  2017-10-20       Impact factor: 4.379

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