Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S rRNA sequencing for IBS-D

PROVIDER: PRJNA975610 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24738871_1.fastq.gz	Fastqsanger.gz
	SRR24738871_2.fastq.gz	Fastqsanger.gz
	SRR24738872_1.fastq.gz	Fastqsanger.gz
	SRR24738872_2.fastq.gz	Fastqsanger.gz
	SRR24738873_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Cognitive Behavioral Therapy for Irritable Bowel Syndrome Induces Bidirectional Alterations in the Brain-Gut-Microbiome Axis Associated with Gastrointestinal Symptom Improvement

Project description:34 Rome III-diagnosed IBS patients receiving CBT were drawn from the Irritable Bowel Syndrome Outcome Study (IBSOS; ClinicalTrials.gov NCT00738920). Fecal samples were collected at baseline and post-treatment for 16S rRNA gene sequencing, untargeted metabolomics, and measurement of short chain fatty acids. Multimodal neuroimaging was performed at baseline and post-treatment.

2021-09-01 | ST001940 | MetabolomicsWorkbench

Study of Gut Microbiome and Colorectal Tumors

Project description:Gut microbiota were assessed in 540 colonoscopy-screened adults by 16S rRNA gene sequencing of stool samples. Investigators compared gut microbiota diversity, overall composition, and normalized taxon abundance among these groups.

| 2255499 | ecrin-mdr-crc

Nobiletin ameliorates high fat-induced disruptions in rhythmic glucagon-like peptide-1 secretion - 16S

Project description:16S rRNA gene sequencing of colonic feces from mice fed regular chow, regular chow+nobiletin, high-fat diet or high-fat diet+nobiletin.

2022-05-06 | E-MTAB-11551 | biostudies-arrayexpress

Chronic Strongyloides stercoralis infection increases Ruminococcus torques group and alter microbiome proteome in ivermectin treatment

Project description:The impact of mono-chronic S. stercoralis infection on the gut microbiome and microbial activities in infected participants was explored. The 16S rRNA gene sequencing of a longitudinal study with 2 sets of human fecal was investigated. Set A, 42 samples were matched, and divided equally into positive (Pos) and negative (Neg) for S. stercoralis diagnoses. Set B, 20 samples of the same participant in before (Ss+PreT) and after (Ss+PostT) treatment was subjected for 16S rRNA sequences and LC-MS/MS to explore the effect of anti-helminthic treatment on microbiome proteomes.

2023-11-07 | PXD037975 | JPOST Repository

Changes of intestinal flora in patients with epithelial ovarian cancer treated with PARP inhibitor first-line maintenance therapy: a non-randomized, double-blind, observational cohort study

Project description:Interventions: Follow-up observation group:no;A drug maintenance treatment group:no;Two kinds of drugs maintenance treatment group:no Primary outcome(s): 16s rRNA sequencing results;Evaluation of therapeutic response in solid tumors Study Design: Cohort study

| 105717 | ecrin-mdr-crc

The effect of IV iron on the gut microbiome in patients with metastatic colorectal cancer

Project description:Primary outcome(s): Analysis of the diversity and composition of the gut microbiome by 16S rRNA sequencing Study Design: Observational Study Model : Others, Time Perspective : Prospective, Enrollment : 60, Biospecimen Retention : Collect & Archive- Sample with DNA, Biospecimen Description : Blood, Stool

| 26030 | ecrin-mdr-crc

16S rRNA sequencing of fecal samples from Atg16l1 T300A and wildtype littermate mice that were either exposed or not to mainstream cigarette smoking for 6 weeks

Project description:We found that mainstream cigarette smoking (4 cigarettes/day, 5 days/week for 2 weeks using Kentucky Research Cigarettes 3R4F) resulted in >20% decrease in the percentage of normal Paneth cell population in Atg16l1 T300A mice but showed minimal effect in wildtype littermate control mice, indicating that Atg16l1 T300A polymorphism confers sensitivity to cigarette smoking-induced Paneth cell damage. We performed 16S rRNA sequencing to identify potential microbiota changes associated with Paneth cell defect in Atg16l1 T300A mice exposed to cigarette smoking. Female mice were used at 4-5 weeks of age. Cigarette smoking was performed using smoking chamber with the dosage and schedule as described above. The fecal samples from the mice were collected for 16S rRNA sequencing analysis after completing 6 weeks of smoking.

2018-10-31 | E-MTAB-5717 | biostudies-arrayexpress

IL-22 resolves MASLD via enterocyte STAT3 restoration of diet perturbed intestinal homeostasis [16s rDNA-seq]

Project description:IL22 induces antimicrobial peptides which influnce microbiota. We used 16s rRNA gene sequencing (16s DNA-seq) to analyze the microbiota with Fc or IL-22Fc treatment.

2024-08-01 | GSE242929 | GEO

16s rRNA-young and old mouse gut microbiota-stroke

Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18～20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.

2021-10-15 | E-MTAB-10837 | biostudies-arrayexpress

RNA-seq of iron-rich pelagic aggregates (iron snow) in 2017 and 2018

Project description:Iron-rich pelagic aggregates (iron snow) were collected directly onto silicate glass filters using an electronic water pump installed below the redoxcline. RNA was extracted and library preparation was done using the NEBNext Ultra II directional RNA library prep kit for Illumina. Data was demultiplied by GATC sequencing company and adaptor was trimmed by Trimgalore. After trimming, data was processed quality control by sickle and mRNA/rRNA sequences were sorted by SortmeRNA. mRNA sequences were blast against NCBI-non redundant protein database and the outputs were meganized in MEGAN to do functional analysis. rRNA sequences were further sorted against bacterial/archeal 16S rRNA, eukaryotic 18S rRNA and 10,000 rRNA sequences of bacterial 16S rRNA, eukaryotic 18S rRNA were subset to do taxonomy analysis.

2021-10-15 | E-MTAB-9686 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data