ID
45978
Descrição
Principal Investigator: Patricia L. Hibberd, Division of Global Health, Massachusetts General Hospital for Children, Boston, MA, USA MeSH: Human Microbiome https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000896 A mechanistic understanding of the health benefits conferred by consumption of probiotic bacteria has been limited by our knowledge of the resident gut microbiota and its interaction with the host. We used fecal samples from a study of twelve healthy individuals aged 65-80 to characterize the structure and functional dynamics of the gut microbiota associated with consumption of the single-organism probiotic, Lactobacillus rhamnosus GG ATCC 53103 (LGG). Samples were collected prior to probiotic consumption (day 0), on day 28 immediately after consuming 10^10 CFU of LGG twice daily for 28 days and day 56, one month after stopping LGG consumption. Our integrative approach incorporated bacterial 16S rRNA gene sequencing, whole-community expression profiling using RNA-seq, and metagenomic sequencing. We highlight the value of combinatorial 'omics methods and concomitant high-resolution informatics to probe the role that probiotics may play on the structure and function of the resident microbiota.
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Versões (1)
- 02/04/2024 02/04/2024 - Madita Rudolph
Titular dos direitos
Patricia L. Hibberd, Division of Global Health, Massachusetts General Hospital for Children, Boston, MA, USA
Transferido a
2 de abril de 2024
DOI
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Licença
Creative Commons BY 4.0
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dbGaP phs000896 Functional Dynamics of the Elderly Gut Microbiome During Probiotic Consumption
This subject sample SRA mapping data table includes a mapping of subject IDs, sample IDs for public SRA sequences, and SRA sample accessions.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table contains subject IDs, consent group information, and subject aliases.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases and sample use.
- This subject phenotype data table includes subject age, sex, race, and BMI.
- This sample attributes data table includes body site where sample was collected, analyte type, sequencing center, and time point for sample collection.
- This subject sample SRA mapping data table includes a mapping of subject IDs, sample IDs for public SRA sequences, and SRA sample accessions.
Similar models
This subject sample SRA mapping data table includes a mapping of subject IDs, sample IDs for public SRA sequences, and SRA sample accessions.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table contains subject IDs, consent group information, and subject aliases.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample aliases and sample use.
- This subject phenotype data table includes subject age, sex, race, and BMI.
- This sample attributes data table includes body site where sample was collected, analyte type, sequencing center, and time point for sample collection.
- This subject sample SRA mapping data table includes a mapping of subject IDs, sample IDs for public SRA sequences, and SRA sample accessions.