<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wu-Woods NJ</submitter><funding>United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office</funding><funding>UChicago | Digestive Diseases Research Core Center, University of Chicago</funding><funding>Kenneth Rainin Foundation</funding><funding>National Science Foundation fellowship</funding><funding>National Institutes of Health Biotechnology Leadership Pre-doctoral Training Program (BLP) fellowship from Caltech’s Donna and Benjamin M. Rosen Bioengineering Center</funding><funding>NIDDK NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><pagination>1672-1682</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10885704</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(11)</volume><pubmed_abstract>Host-microbe interactions have been linked to health and disease states through the use of microbial taxonomic profiling, mostly via 16S ribosomal RNA gene sequencing. However, many mechanistic insights remain elusive, in part because studying the genomes of microbes associated with mammalian tissue is difficult due to the high ratio of host to microbial DNA in such samples. Here we describe a microbial-enrichment method (MEM), which we demonstrate on a wide range of sample types, including saliva, stool, intestinal scrapings, and intestinal mucosal biopsies. MEM enabled high-throughput characterization of microbial metagenomes from human intestinal biopsies by reducing host DNA more than 1,000-fold with minimal microbial community changes (roughly 90% of taxa had no significant difference</pubmed_abstract><journal>Nature methods</journal><pubmed_title>Microbial-enrichment method enables high-throughput metagenomic characterization from host-rich samples.</pubmed_title><pmcid>PMC10885704</pmcid><funding_grant_id>W911NF-17-1-0402</funding_grant_id><funding_grant_id>DK067180</funding_grant_id><funding_grant_id>RC2 DK122394</funding_grant_id><funding_grant_id>T32 GM112592</funding_grant_id><funding_grant_id>T32 GM150375</funding_grant_id><funding_grant_id>5F30DK121470</funding_grant_id><funding_grant_id>P30 DK042086</funding_grant_id><funding_grant_id>P30 DK42086</funding_grant_id><funding_grant_id>RC2 DK133947</funding_grant_id><funding_grant_id>F30 DK121470</funding_grant_id><funding_grant_id>R01 DK067180</funding_grant_id><pubmed_authors>Barlow JT</pubmed_authors><pubmed_authors>Shaw DG</pubmed_authors><pubmed_authors>Jabri B</pubmed_authors><pubmed_authors>Trigodet F</pubmed_authors><pubmed_authors>Ismagilov RF</pubmed_authors><pubmed_authors>Romano AE</pubmed_authors><pubmed_authors>Eren AM</pubmed_authors><pubmed_authors>Wu-Woods NJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Microbial-enrichment method enables high-throughput metagenomic characterization from host-rich samples.</name><description>Host-microbe interactions have been linked to health and disease states through the use of microbial taxonomic profiling, mostly via 16S ribosomal RNA gene sequencing. However, many mechanistic insights remain elusive, in part because studying the genomes of microbes associated with mammalian tissue is difficult due to the high ratio of host to microbial DNA in such samples. Here we describe a microbial-enrichment method (MEM), which we demonstrate on a wide range of sample types, including saliva, stool, intestinal scrapings, and intestinal mucosal biopsies. MEM enabled high-throughput characterization of microbial metagenomes from human intestinal biopsies by reducing host DNA more than 1,000-fold with minimal microbial community changes (roughly 90% of taxa had no significant difference</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2026-06-02T06:17:33.84Z</modification><creation>2025-04-04T09:58:51.33Z</creation></dates><accession>S-EPMC10885704</accession><cross_references><pubmed>37828152</pubmed><doi>10.1038/s41592-023-02025-4</doi></cross_references></HashMap>