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geneshot: gene-level metagenomics identifies genome islands associated with immunotherapy response.
Minot, Samuel S; Barry, Kevin C; Kasman, Caroline; Golob, Jonathan L; Willis, Amy D.
Afiliação
  • Minot SS; Microbiome Research Initiative, Fred Hutch Cancer Research Center, Mail Stop E4-100, 1100 Fairview Ave. North, Seattle, WA, 98109, USA. sminot@fredhutch.org.
  • Barry KC; Public Health Sciences Division and Immunotherapy Integrated Research Center, Fred Hutch Cancer Research Center, Seattle, WA, USA.
  • Kasman C; Community Health Plan of Washington, Seattle, WA, USA.
  • Golob JL; Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Willis AD; Department of Biostatistics, University of Washington, Seattle, WA, USA.
Genome Biol ; 22(1): 135, 2021 05 05.
Article em En | MEDLINE | ID: mdl-33952321
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ilhas Genômicas / Metagenômica / Imunoterapia Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ilhas Genômicas / Metagenômica / Imunoterapia Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article