Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S rRNA gene high-throughout sequencing

PROVIDER: PRJNA650171 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12376669_1.fastq.gz	Fastqsanger.gz
	SRR12376669_2.fastq.gz	Fastqsanger.gz
	SRR12376670_1.fastq.gz	Fastqsanger.gz
	SRR12376670_2.fastq.gz	Fastqsanger.gz
	SRR12376671_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

Project description:16S rRNA gene high-throughout sequencing

| PRJNA738593 | ENA

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

Project description:18S rRNA gene high-throughout sequencing

| PRJNA628027 | ENA

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

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

Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours

Project description:In this study, we performed a comparative analysis of gut microbiota composition and gut microbiome-derived bacterial extracellular vesicles (bEVs) isolated from patients with solid tumours and healthy controls. After isolating bEVs from the faeces of solid tumour patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of faeces from patientsand controls using 16S rRNA sequencing. Machine learning was used to classify the samples into patients and controls based on their bEVs and faecal microbiomes.

2024-08-08 | PXD047510 | Pride

Quantification of mock microbial communities with metagenomes, 16S rRNA gene amplicons and metaproteomics

Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.

2017-05-12 | PXD006118 | Pride

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