Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Faecal sample

ABSTRACT: Faecal sample Metagenome

PROVIDER: PRJNA928438 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23248500_1.fastq.gz	Fastqsanger.gz
	SRR23248500_2.fastq.gz	Fastqsanger.gz
	SRR23248501_1.fastq.gz	Fastqsanger.gz
	SRR23248501_2.fastq.gz	Fastqsanger.gz
	SRR23248502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 278

Similar Datasets

feces metagenome isolate:Human faecal sample

Project description:feces metagenome isolate:Human faecal sample Genome sequencing

| PRJNA428614 | ENA

faecal sample of Elaphurus davidianus

Project description:faecal sample of Elaphurus davidianus Raw sequence reads

| PRJNA876918 | ENA

An Optimised Faecal microRNA Sequencing Pipeline Reveals Fibrosis in Trichuris muris Infection

Project description:The intestine is a site of diverse functions including digestion, nutrient absorption, immune surveillance, and microbial symbiosis. As such, intestinal homeostasis is vital for overall wellbeing. Faecal microRNAs (miRNAs) offer valuable non-invasive insights into the transcriptional state of the intestine. However, typical faecal miRNA yields and profiles remain incompletely characterised. Here, we develop an optimised protocol for faecal miRNA detection, and describe a reproducible murine faecal miRNA profile across several studies by performing a meta-analysis. By examining faecal miRNA changes during chronic infection with the gastrointestinal helminth, Trichuris muris, we identify the altered expression of miRNAs associated with fibrosis, barrier integrity and wound healing. Fibrosis was confirmed in vivo, suggesting a role for these miRNAs in regulating wound healing during chronic infection where the production of classical wound healing Th2 cytokines are low. Further implementations of this technique can identify novel hypotheses and therapeutic strategies in diverse disease contexts.

2024-12-20 | GSE267555 | GEO

A Metaproteomic Workflow for Sample Preparation and Data Analysis Applied to Mouse Faeces: 5

Project description:The intestinal microbiota plays a key role in shaping host homeostasis by regulating metabolism, immune responses and behaviour. Its dysregulation has been associated with metabolic, immune and neuropsychiatric disorders and is accompanied by changes in bacterial metabolic regulation. Although proteomic is well suited for analysis of individual microbes, metaproteomic of faecal samples is challenging due to the physical structure of the sample, presence of contaminating host proteins and coexistence of hundreds of species. Furthermore, there is a lack of consensus regarding preparation of faecal samples, as well as downstream bioinformatic analyses following metaproteomic data acquisition. Here we assess sample preparation and data analysis strategies applied to mouse faeces in a typical LC-MS/MS metaproteomic experiment. We show that low speed centrifugation (LSC) of faecal samples leads to high protein identification rates but possibly enriched for a subset of taxa. During database search, two-step search strategies led to dramatic and underestimated accumulation of false positive protein identifications. Regarding taxonomic annotation, the MS-identified peptides of unknown origin were annotated with highest sensitivity and specificity using the Unipept software. Comparison of matching metaproteome and metagenome data revealed a positive correlation between protein and gene abundances. Notably, nearly all functional categories of detected protein groups were differentially abundant in the metaproteome compared to what would be expected from the metagenome, highlighting the need to perform metaproteomic when studying complex microbiome samples.

2022-02-17 | PXD027306 | Pride

Faecal pellet

Project description:Faecal pellet Metagenome

| PRJNA906087 | ENA

Presbytis faecal metagenome

Project description:Presbytis faecal metagenome Metagenome

| PRJNA574841 | ENA

Donkey Faecal Metagenome

Project description:Donkey Faecal Metagenome

| PRJEB8065 | ENA

RNAseq analysis reveals the transcriptional programme of Clostridium difficile in a biologically relevant faecal–stress environment: implications for pathogenicity

Project description:RNAseq and LC/MS metabolomics analysis of C. difficile strain 630 grown in BHIS media with 50% (vol/vol) faecal water added, compared with control BHIS containing only the additional PBS used for prep of Faecal water. Cells grown in biological triplicates to late log phase (T=6h) prior to harvest. Goal was to determine changes in gene expression caused by exposure to Faecal water, and changes in the metabolite profile of faecal water containing medium when incubated with actively growing C. difficile cells

2018-11-12 | GSE112422 | GEO

faecal metagenome

Project description:Foal faecal metagenome Targeted loci

| PRJNA638757 | ENA

The host response of IBS patients to allogenic and autologous faecal microbiota transfer

Project description:In this randomised placebo-controlled trial, irritable bowel syndrome (IBS) patients were treated with faecal material from a healthy donor (n=8, allogenic FMT) or with their own faecal microbiota (n=8, autologous FMT). The faecal transplant was administered by whole colonoscopy into the caecum (30 g of stool in 150 ml sterile saline). Two weeks before the FMT (baseline) as well as two and eight weeks after the FMT, the participants underwent a sigmoidoscopy, and biopsies were collected at a standardised location (20-25 cm from the anal verge at the crossing with the arteria iliaca communis) from an uncleansed sigmoid. In patients treated with allogenic FMT, predominantly immune response-related genes sets were induced, with the strongest response two weeks after FMT. In patients treated with autologous FMT, predominantly metabolism-related gene sets were affected.

2019-10-14 | GSE138297 | GEO

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