Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Development depression-associated biomarkers research

ABSTRACT: Development depression-associated biomarkers research

PROVIDER: PRJNA755284 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Development depression-associated miRNA biomarkers research

Project description:Development depression-associated miRNA biomarkers research

| PRJNA755290 | ENA

Development depression-associated ncRNA biomarkers research

Project description:Development depression-associated ncRNA biomarkers research

| PRJNA755289 | ENA

Development depression-associated miRNA biomarkers research

Project description:we profiled whole transcriptome in depression patients’ and healthy volunteers blood samples via microarray analysis.Differentially expressed miRNAs were selected for deep analysis. Especially the Differentially expressed genes that associated with cancer

2021-08-17 | GSE182194 | GEO

Development depression-associated ncRNA biomarkers research

Project description:we profiled whole transcriptome in depression patients’ and healthy volunteers blood samples via microarray analysis.Differentially expressed circRNAs, lncRNAs and mRNAs were selected for deep analysis. Especially the Differentially expressed genes that associated with cancer

2021-08-17 | GSE182193 | GEO

Development depression-associated biomarkers research

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

2021-08-17 | GSE182195 | GEO

Identifying Biomarkers for Postpartum Depression in African American Women

Project description:Identifying Biomarkers for Postpartum Depression in African American Women

| PRJNA671185 | ENA

Identifying Biomarkers for Postpartum Depression in African American Women

Project description:Identifying Biomarkers for Postpartum Depression in African American Women

| PRJNA671186 | ENA

Gene Expression Profiles Predict Postpartum-onset Depression Patients with Treatment-Resistant Depression Patients with Treatment-Resistant Depression

Project description:To identify early predictive biomarkers for postpartum depression using peripheral blood gene expression profiles

2013-03-29 | GSE45603 | GEO

DNA methylation and inflammation marker profiles associated with a history of depression.

Project description:Depression is a common and disabling disorder, representing a major social and economic health issue. Moreover, depression is associated with the progression of diseases with an inflammatory etiology including many inflammatory-related disorders. At the molecular level, the mechanisms by which depression might promote the onset of these diseases and associated immune-dysfunction are not well understood. In this study we assessed genome-wide patterns of DNA methylation in whole blood-derived DNA obtained from individuals with a self-reported history of depression (n=100) and individuals without a history of depression (n=100) using the Illumina 450K microarray. Our analysis identified 6 significant (Sidak corrected P < 0.05) depression-associated differentially methylated regions (DMRs); the top-ranked DMR was located in exon 1 of the LTB4R2 gene (Sidak corrected P = 1.27 x 10-14). Polygenic risk scores (PRS) for depression were generated and known biological markers of inflammation, telomere length (TL) and IL-6, were measured in DNA and serum samples respectively. Next, we employed a systems-level approach to identify networks of co-methylated loci associated with a history of depression, in addition to depression PRS, TL and IL-6 levels. Our analysis identified one depression-associated co-methylation module (P = 0.04). Interestingly, the depression-associated module was highly enriched for pathways related to immune function and was also associated with TL and IL-6 cytokine levels. In summary, our genome-wide DNA methylation analysis of individuals with and without a self-reported history of depression identified several candidate DMRs of potential relevance to the pathogenesis of depression and its associated immune-dysfunction phenotype.

2018-06-01 | GSE113725 | GEO

Gene Expression Profiles Predict Postpartum-onset Depression Patients with Treatment-Resistant Depression Patients with Treatment-Resistant Depression

Project description:To identify early predictive biomarkers for postpartum depression using peripheral blood gene expression profiles RNA was isolated from peripheral blood collected in Tempus RNA tubes (Applied Biosystems, Darmstadt, Germany) at all three investigated time points for each woman in the discovery sample. RNA was isolated using the Versagene kit (Gentra Systems, Minneapolis, U.S.A.), quantified using the Nanophotometer and quality checks were performed on the Agilent Bioanalyzer.

2013-03-29 | E-GEOD-45603 | 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