Literature DB >> 28705725

Assessing the impact of protein extraction methods for human gut metaproteomics.

Xu Zhang1, Leyuan Li1, Janice Mayne1, Zhibin Ning1, Alain Stintzi2, Daniel Figeys3.   

Abstract

Metaproteomics is a promising methodology for the functional characterizations of the gut microbiome. However, the performance of metaproteomic analysis is affected by protein extraction protocols in terms of the amount of protein recovered and the relative abundance of different bacteria observed in microbiome. Currently, there is a lack of consistency on protein extraction methods in published metaproteomics studies. Here we evaluated the effects of different protein extraction methods on human fecal metaproteome characterizations. We found that sodium dodecyl sulfate (SDS)-based lysis buffer obtained higher protein yields and peptide/protein group identifications compared to urea and the non-ionic detergent-based B-Per buffer. The addition of bead beating to any of the extraction buffers increased both protein yields and protein identifications. As well, bead beating led to a significant increase of the relative abundances of Firmicutes and Actinobacteria. We also demonstrated that ultrasonication, another commonly used mechanical disruption approach, performed even better than bead beating for gut microbial protein extractions. Importantly, proteins of the basic metabolic pathways showed significantly higher relative abundances when using ultrasonication. Overall, these results demonstrate that protein extraction protocols markedly impact the metaproteomic results and recommend a protein extraction protocol with both SDS and ultrasonication for metaproteomic studies. BIOLOGICAL SIGNIFICANCE: The gut microbiome is emerging as an important factor influencing human health. Metaproteomics is promising for advancing the understanding of the functional roles of the microbiome in disease. However, metaproteomics suffers from a lack of consistent sample preparation procedures. In the present study, protein extraction protocols for fecal microbiome samples were evaluated for their effects on protein yields, peptide identifications, protein group identifications, taxonomic compositions and functional category distributions. While different protocols favor different microbial taxa and protein functions, our results suggest that a protein extraction protocol using sodium dodecyl sulfate (SDS) and ultrasonication provides the best performance for general shotgun metaproteomics studies.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bead beating; Gut microbiome; Metaproteomics; Protein extraction; Ultrasonication

Mesh:

Substances:

Year:  2017        PMID: 28705725     DOI: 10.1016/j.jprot.2017.07.001

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


  22 in total

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Review 2.  Metaproteomics of the human gut microbiota: Challenges and contributions to other OMICS.

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Review 5.  Metaproteomic analysis of human gut microbiome in digestive and metabolic diseases.

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7.  An in vitro model maintaining taxon-specific functional activities of the gut microbiome.

Authors:  Leyuan Li; Elias Abou-Samra; Zhibin Ning; Xu Zhang; Janice Mayne; Janet Wang; Kai Cheng; Krystal Walker; Alain Stintzi; Daniel Figeys
Journal:  Nat Commun       Date:  2019-09-12       Impact factor: 14.919

8.  Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis.

Authors:  Carmen García-Durán; Raquel Martínez-López; Inés Zapico; Enrique Pérez; Eduardo Romeu; Javier Arroyo; María Luisa Hernáez; Aida Pitarch; Lucía Monteoliva; Concha Gil
Journal:  Front Microbiol       Date:  2021-07-05       Impact factor: 5.640

9.  Biobanking in Molecular Biomarker Research for the Early Detection of Cancer.

Authors:  Kim Lommen; Selena Odeh; Chiel C de Theije; Kim M Smits
Journal:  Cancers (Basel)       Date:  2020-03-25       Impact factor: 6.639

10.  Interspecies cross-feeding orchestrates carbon degradation in the rumen ecosystem.

Authors:  Lindsey M Solden; Adrian E Naas; Simon Roux; Rebecca A Daly; William B Collins; Carrie D Nicora; Sam O Purvine; David W Hoyt; Julia Schückel; Bodil Jørgensen; William Willats; Donald E Spalinger; Jeffrey L Firkins; Mary S Lipton; Matthew B Sullivan; Phillip B Pope; Kelly C Wrighton
Journal:  Nat Microbiol       Date:  2018-10-24       Impact factor: 17.745

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