A novel clinical metaproteomics workflow enables bioinformatic analysis of host-microbe dynamics in disease.

ABSTRACT: Clinical metaproteomics has the potential to offer insights into the host-microbiome interactions underlying diseases. However, the field faces challenges in characterizing microbial proteins found in clinical samples, usually present at low abundance relative to the host proteins. As a solution, we have developed an integrated workflow coupling mass spectrometry-based analysis with customized bioinformatic identification, quantification, and prioritization of microbial proteins, enabling targeted assay development to investigate host-microbe dynamics in disease. The bioinformatics tools are implemented in the Galaxy ecosystem, offering the development and dissemination of complex bioinformatic workflows. The modular workflow integrates MetaNovo (to generate a reduced protein database), Se

SUBMITTER: Do K 

PROVIDER: S-EPMC11332332 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature