Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [methylation]

ABSTRACT: Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [methylation]

PROVIDER: PRJNA790984 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease

Project description:Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease

| PRJNA790990 | ENA

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [RNA-Seq]

Project description:Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [RNA-Seq]

| PRJNA790985 | ENA

A multi-omics approach to understand and predict therapeutic success of anti-TNF and anti-integrin agents in inflammatory bowel disease

Project description:In this study we wanted to identify baseline predictors of successful anti-TNF and vedolizumab therapy in patients with inflammatory bowel disease (based on tissue transcriptomics and CD4/CD14 transcriptomics)

2023-10-31 | E-MTAB-7914 | biostudies-arrayexpress

Longitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome

Project description:The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease pathogenesis has been difficult due to the apparent disconnect between animal and human studies and a lack of an integrated multi-omics view in the context of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases.

2020-03-13 | GSE146853 | GEO

Longitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome

Project description:Longitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome

| PRJNA612180 | ENA

Longitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome

Project description:The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease has been difficult due to apparent disconnects between animal and human studies and lack of an integrated multi-omics view of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome, and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases. Linked cross omic data sets:Microbiome sequencing data associated with this study are available in the European Nucleotide Archive (ENA): accession number <a href='https://www.ebi.ac.uk/ena/browser/view/PRJEB37924' rel='noopener noreferrer' target='_blank'>PRJEB37924</a> and <a href='https://www.ebi.ac.uk/ena/browser/view/PRJNA612180' rel='noopener noreferrer' target='_blank'>PRJNA612180</a>.

2020-09-08 | MTBLS1396 | MetaboLights

Longitudinal multi-omics profiling of prediabetes

Project description:Longitudinal multi-omics profiling of prediabetes

| PRJNA497499 | ENA

Longitudinal multi-omics profiling of prediabetes

Project description:Longitudinal multi-omics profiling of prediabetes

| PRJNA497500 | ENA

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-07-26 | GSE191331 | GEO

Longitudinal multi-omics analysis of Bordetella pertussis Tohama I fermentation

Project description:A longitudinal multi-omics analysis was carried out over a 26-hour small-scale fermentation of B. pertussis. Fermentations were performed in batch mode and under culture conditions intended to mimic industrial processes.

2023-02-21 | GSE212531 | 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