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geneshot: gene-level metagenomics identifies genome islands associated with immunotherapy response

Researchers must be able to generate experimentally testable hypotheses from sequencing-based observational microbiome experiments to discover the mechanisms underlying the influence of gut microbes on human health. We describe geneshot, a novel bioinformatics tool for identifying testable hypothese...

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Detalles Bibliográficos
Autores principales: Minot, Samuel S., Barry, Kevin C., Kasman, Caroline, Golob, Jonathan L., Willis, Amy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097837/
https://www.ncbi.nlm.nih.gov/pubmed/33952321
http://dx.doi.org/10.1186/s13059-021-02355-6
Descripción
Sumario:Researchers must be able to generate experimentally testable hypotheses from sequencing-based observational microbiome experiments to discover the mechanisms underlying the influence of gut microbes on human health. We describe geneshot, a novel bioinformatics tool for identifying testable hypotheses based on gene-level metagenomic analysis of WGS microbiome data. By applying geneshot to two independent previously published cohorts, we identify microbial genomic islands consistently associated with response to immune checkpoint inhibitor (ICI)-based cancer treatment in culturable type strains. The identified genomic islands are within operons involved in type II secretion, TonB-dependent transport, and bacteriophage growth. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02355-6.