Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Longitudinal multi-omics profiling of prediabetes

ABSTRACT: Longitudinal multi-omics profiling of prediabetes

PROVIDER: PRJNA497499 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Longitudinal multi-omics profiling of prediabetes

Project description:Longitudinal multi-omics profiling of prediabetes

| PRJNA497500 | ENA

Longitudinal Multi-Omics Profiling of Prediabetes

Project description:<p>Type 2 diabetes mellitus (T2D) is a significant health problem. Close to 20 million individuals in the United States have T2D, and 79 million aged 20 years or older are clinically pre-diabetic, with a 5-year conversion rate of 10% to 23% from prediabetes to T2D. In a collaborative effort to systematically understand diabetes and its etiology, the team is comprised of leading experts in research on both the human host as well as the microbiome, as properties of both are likely relevant in T2D development. For a better elucidation of mechanisms of onset and progression of T2D disease, the group is performing a detailed analysis of the biological processes that occur in the microbiome and human host by longitudinal profiling of patients at risk for T2D. Both microbiome and host profiles are being analyzed by state-of-the-art omics platforms, and these large-scale and diverse data sets will be integrated to determine the dynamic pathways that change during the onset and progression of T2D, especially during viral infections and other stresses. This longitudinal study is expected to reveal changes in the microbiome and host at an unprecedented level of detail, and identify molecules and pathways that play important roles in diabetes onset and progression.</p>

| phs001719 | dbGaP

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

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

A comprehensive platform for analyzing longitudinal multi-omics data

Project description:A comprehensive platform for analyzing longitudinal multi-omics data

| PRJNA934663 | ENA

A comprehensive platform for analyzing longitudinal multi-omics data

Project description:A comprehensive platform for analyzing longitudinal multi-omics data

| PRJNA789262 | ENA

A comprehensive platform for analyzing longitudinal multi-omics data

Project description:A comprehensive platform for analyzing longitudinal multi-omics data

| PRJNA934664 | ENA

Multi-omics profiling of longitudinal samples reveals early genomic changes in follicular lymphoma

Project description:Multi-omics profiling of longitudinal samples reveals early genomic changes in follicular lymphoma

| PRJNA1136789 | ENA

Longitudinal multi-omics analysis of Bordetella pertussis Tohama I fermentation

Project description:Longitudinal multi-omics analysis of Bordetella pertussis Tohama I fermentation

| PRJNA875911 | ENA

IBS multi-omics

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

| PRJEB37924 | ENA

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