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Bioinformatic Workflows for Metaproteomics.
Holstein, Tanja; Muth, Thilo.
Afiliación
  • Holstein T; Section eScience (S.3), Federal Institute for Materials Research and Testing, Berlin, Germany.
  • Muth T; VIB-UGent Center for Medical Biotechnology, VIB and Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Methods Mol Biol ; 2820: 187-213, 2024.
Article en En | MEDLINE | ID: mdl-38941024
ABSTRACT
The strong influence of microbiomes on areas such as ecology and human health has become widely recognized in the past years. Accordingly, various techniques for the investigation of the composition and function of microbial community samples have been developed. Metaproteomics, the comprehensive analysis of the proteins from microbial communities, allows for the investigation of not only the taxonomy but also the functional and quantitative composition of microbiome samples. Due to the complexity of the investigated communities, methods developed for single organism proteomics cannot be readily applied to metaproteomic samples. For this purpose, methods specifically tailored to metaproteomics are required. In this work, a detailed overview of current bioinformatic solutions and protocols in metaproteomics is given. After an introduction to the proteomic database search, the metaproteomic post-processing steps are explained in detail. Ten specific bioinformatic software solutions are focused on, covering various steps including database-driven identification and quantification as well as taxonomic and functional assignment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Proteómica / Flujo de Trabajo / Microbiota Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Proteómica / Flujo de Trabajo / Microbiota Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos