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Data from: An in vitro analysis of how lactose modifies the gut microbiota structure and function of adults in a donor-independent manner
,The impact of lactose on the gut microbiota of healthy adults was examined, using a short-term, in vitro strategy where fecal samples harvested from 18 donors were cultured anaerobically with and without lactose. Donors represented 3 adult age groups. Data collected include: amplicon sequencing of the V1-V2 regions of the 16S rRNA gene (available in the NCBI Sequence Read Archive associated with BioProject PRJNA883645: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA883645), RT-qPCR of Bifidobacterium 16S rRNA genes, and short-chain fatty acid concentrations.,Resources in this dataset:,
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Data from: Lacticaseibacillus rhamnosus Strain GG (LGG) Regulate Gut Microbial Metabolites, an In Vitro Study Using Three Mature Human Gut Microbial Cultures in a Simulator of Human Intestinal Microbial Ecosystem (SHIME)
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,Using the SHIME (an in vitro simulator of the human gut microbiome) we studied changes in the gut metabolome that occurred in response to the administration of the Laticaseibacillus rhamnosus strain GG (LGG). Using fecal inoculum from three healthy human donors, reactors were established representing three colonic regions and both the luminal and mucosal microbiome in those regions. Samples were collected before, during, and after inoculation of the reactors with LGG.,This dataset includes untargeted metabolomics data. Shallow shotgun metagenomic sequencing data can be found in the NCBI Sequence Read Archive associated with BioProject PRJNA893635 : https://www.ncbi.nlm.nih.gov/bioproject/PRJNA893635.,Resources in this dataset:,
Data from: Persistence of the Probiotic Lacticaseibacillus rhamnosus Strain GG (LGG) in an In Vitro Model of the Gut Microbiome
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,Using the SHIME (an in vitro simulator of the human gut microbiome) we tracked the fate of the probiotic Lacticaseibacillus rhamnosus GG (LGG) over time and across colonic regions. Using fecal inoculum from three healthy human donors, reactors were established representing three colonic regions and both the luminal and mucosal microbiome in those regions. Community composition before, during, and after inoculation of the reactors with LGG as well as short chain fatty acid concentrations representing microbiome metabolic outputs. This dataset includes short-chain fatty acid concentrations and qPCR-based cell concentrations. Raw 16S rRNA amplicon sequencing of the V1-V2 regions can be found in the NCBI Sequence Read Archive associated with BioProject PRJNA893635: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA893635.,Resources in this dataset:,
Data from: Supplementation with soluble or insoluble rice-bran fibers increases short-chain fatty acid producing bacteria in the gut microbiota in vitro
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,The SHIME® (Simulator of the Human Intestinal Microbial Ecology) was used for in vitro cultivation of the human gut microbiota (3 donors) with additions of either soluble or insoluble fractions from rice bran or no addition controls (n=3 treatments.) Data collected include 16S rRNA gene amplicon sequencing and short chain fatty acid (SCFA) concentrations. Raw sequencing data can be found in the NCBI Sequence Read Archive associated with BioProject PRJNA1032541. Data here include sample metadata and SCFA concentrations.,
Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services
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This repository contains raw and intermediate data files as well as analysis code from the manuscript "Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services". In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample. Raw sequencing data from the sequencing providers was not obtained for this study; however sequencing files (fastq) both 16S amplicon sequencing analysis and whole metagenomic sequencing (WMS) conducted at NIST are included. In addition, the fastq files from other donors that contributed to the pilot material and included in this analysis to represent biological diversity are also included in this record.
Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services
공공데이터포털
This repository contains raw and intermediate data files as well as analysis code from the manuscript ?Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services?. In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample. Raw sequencing data from the sequencing providers was not obtained for this study; however sequencing files (fastq) both 16S amplicon sequencing analysis and whole metagenomic sequencing (WMS) conducted at NIST are included. In addition, the fastq files from other donors that contributed to the pilot material and included in this analysis to represent biological diversity are also included in this record.
Reproducible changes in gut microbiome reveal a shift in microbial and host metabolism during spaceflight
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Data were generated as part of a NASA-funded study (Turek F (PI) et al. Effects of Spaceflight on Gastrointestinal Microbiota in Mice: Mechanisms and Impact on Multi-System. NASA NRA: NRA NNH14ZTT002N). As part of the study, we requested and received samples from RR1. We generated 16S rRNA gene amplicon sequence data from DNA extracted from fecal samples, and compared these data to similar data generated on shuttle mission STS-135 and from ground-based studies of radiation. We assessed effect of flight conditions and radiation.
Data from: Metagenomes and Metagenome-Assembled Genomes from Ex Vivo Fecal Incubations of Six Unique Donors
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,This is a dataset consisting of donor-specific collections of 78 metagenomes (13 / donor) and 143 metagenome-assembled genomes (MAGs) representing the gut microbiomes of six healthy adult human donors. Raw sequencing data and MAG sequence data will be available in NCBI under BioProject accession PRJNA961974 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA961974). Spreadsheets attached to this dataset include individual accession numbers and sequencing depth for the raw data; and assembly and NCBI accession numbers, binning information, quality metrics, and taxonomic assignments for the MAGs.,Resources in this dataset:,,