Optimizing metaproteomics database construction: lessons from a study of the vaginal microbiome.

ABSTRACT: Metaproteomics, a method for untargeted, high-throughput identification of proteins in complex samples, provides functional information about microbial communities and can tie functions to specific taxa. Metaproteomics often generates less data than other omics techniques, but analytical workflows can be improved to increase usable data in metaproteomic outputs. Identification of peptides in the metaproteomic analysis is performed by comparing mass spectra of sample peptides to a reference database of protein sequences. Although these protein databases are an integral part of the metaproteomic analysis, few studies have explored how database composition impacts peptide identification. Here, we used cervicovaginal lavage (CVL) samples from a study of bacterial vaginosis (BV) to compare the

SUBMITTER: Lee EM 

PROVIDER: S-EPMC10469846 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature