Literature DB >> 29319931

Metaproteomics of Colonic Microbiota Unveils Discrete Protein Functions among Colitic Mice and Control Groups.

Clara Moon1, Gregory S Stupp2, Andrew I Su1,2, Dennis W Wolan1.   

Abstract

Metaproteomics can greatly assist established high-throughput sequencing methodologies to provide systems biological insights into the alterations of microbial protein functionalities correlated with disease-associated dysbiosis of the intestinal microbiota. Here, the authors utilize the well-characterized murine T cell transfer model of colitis to find specific changes within the intestinal luminal proteome associated with inflammation. MS proteomic analysis of colonic samples permitted the identification of ≈10 000-12 000 unique peptides that corresponded to 5610 protein clusters identified across three groups, including the colitic Rag1-/- T cell recipients, isogenic Rag1-/- controls, and wild-type mice. The authors demonstrate that the colitic mice exhibited a significant increase in Proteobacteria and Verrucomicrobia and show that such alterations in the microbial communities contributed to the enrichment of specific proteins with transcription and translation gene ontology terms. In combination with 16S sequencing, the authors' metaproteomics-based microbiome studies provide a foundation for assessing alterations in intestinal luminal protein functionalities in a robust and well-characterized mouse model of colitis, and set the stage for future studies to further explore the functional mechanisms of altered protein functionalities associated with dysbiosis and inflammation.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  ComPIL; colitis; metaproteomics; microbiome

Mesh:

Substances:

Year:  2018        PMID: 29319931      PMCID: PMC5921860          DOI: 10.1002/pmic.201700391

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


  47 in total

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Review 2.  Cytokine responses and epithelial function in the intestinal mucosa.

Authors:  Joseph C Onyiah; Sean P Colgan
Journal:  Cell Mol Life Sci       Date:  2016-06-06       Impact factor: 9.261

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4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease.

Authors:  Michael D Mayers; Clara Moon; Gregory S Stupp; Andrew I Su; Dennis W Wolan
Journal:  J Proteome Res       Date:  2017-01-23       Impact factor: 4.466

Review 6.  Maltose transport system of Escherichia coli: an ABC-type transporter.

Authors:  H Nikaido
Journal:  FEBS Lett       Date:  1994-06-06       Impact factor: 4.124

Review 7.  T cell transfer model of chronic colitis: concepts, considerations, and tricks of the trade.

Authors:  Dmitry V Ostanin; Jianxiong Bao; Iurii Koboziev; Laura Gray; Sherry A Robinson-Jackson; Melissa Kosloski-Davidson; V Hugh Price; Matthew B Grisham
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2008-11-25       Impact factor: 4.052

Review 8.  From genetics of inflammatory bowel disease towards mechanistic insights.

Authors:  Daniel B Graham; Ramnik J Xavier
Journal:  Trends Immunol       Date:  2013-04-30       Impact factor: 16.687

Review 9.  Diet, microbes, and host genetics: the perfect storm in inflammatory bowel diseases.

Authors:  Vanessa Leone; Eugene B Chang; Suzanne Devkota
Journal:  J Gastroenterol       Date:  2013-03-12       Impact factor: 7.527

10.  An antibiotic-responsive mouse model of fulminant ulcerative colitis.

Authors:  Silvia S Kang; Seth M Bloom; Lyse A Norian; Michael J Geske; Richard A Flavell; Thaddeus S Stappenbeck; Paul M Allen
Journal:  PLoS Med       Date:  2008-03-04       Impact factor: 11.069

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  1 in total

1.  Metabolomics activity screening of T cell-induced colitis reveals anti-inflammatory metabolites.

Authors:  J Rafael Montenegro-Burke; Bernard P Kok; Carlos Guijas; Xavier Domingo-Almenara; Clara Moon; Andrea Galmozzi; Seiya Kitamura; Lars Eckmann; Enrique Saez; Gary E Siuzdak; Dennis W Wolan
Journal:  Sci Signal       Date:  2021-09-28       Impact factor: 8.192

  1 in total

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