Co-Chair: Tim Van Den Bossche, Ghent University
Co-Chair: Jean Armengaud, University Paris-Saclay
Metaproteomics from Bench to The Clinic, Daniel Figeys, University of Ottawa
Analysis of Functions Expressed by Microbiomes Using Metaproteomics, Pratik Jagtap, University of Minnesota
Metaproteomics is a key methodology for understanding how microbiomes function. The power of metaproteomics comes from efficient connection of genomic and metabolic information. Through the large-scale characterization of the entire protein complement of microbiota and the functional dynamics of the microbiome, metaproteomics has the potential to unravel mechanistic details and identify key regulators of microbial interactions with the host/environment. Functional characterization offers numerous advantages over nucleic acid-based methods that primarily measure taxonomic composition. However, while the techniques in current use for metaproteomics are fundamentally the same as those used for single-organism proteomics, there are a number of key differences in terms of sample preparation, analysis and data processing/interpretation that require specialized expertise and tools for success in metaproteomics experiments.
Metaproteomics from Bench to The Clinic. The first speaker, Dr. Daniel Figeys, will introduce the human gut microbiome and discuss the advantages of using metaproteomics to better understand the biological processes ongoing in this dynamic microbiome environment. He will use a study of pediatric inflammatory bowel disease as an example.
Analysis of Functions Expressed by Microbiomes Using Metaproteomics. Data analysis of metaproteomics experiments presents unique challenges and requires novel software tools. The second speaker, Dr. Pratik Jagtap, will highlight efforts on the implementation of metaproteomics workflows and their use within the Galaxy bioinformatics platform (https://usegalaxy.org). These workflows analyze both the taxonomic and functional state of microbiomes and generate outputs for biological interpretation.
Besides his research, plays he an active role in several scientific communities such as EuBIC-MS and HUPO-PSI, and is moreover a co-founder of the Metaproteomics Initiative.
Since 2016 - as a Galaxy-P project co-lead - he has worked with the team to utilize and publish various workflows for multi-omic data analysis. His current research interests include developing workflows for the analysis of complex data, with particular emphasis on MS-based proteomics applications in metaproteomics, proteogenomics, and data-independent acquisition (DIA) data analysis.
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