Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression and pathway enrichment associated with psychomotor slowing in patients with depression

ABSTRACT: Gene expression and pathway enrichment associated with psychomotor slowing in patients with depression

PROVIDER: PRJNA559163 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene expression and pathway enrichment associated with psychomotor slowing in patients with depression

Project description:Analysis of genes and pathways related to psychomotor retardation symptoms in patients with major depressive disorder. Results indicate that psychomotor slowing is associated with enrichment of inflammatory and metabolic pathways in unmedicated patients with depression.

2020-08-19 | GSE135524 | 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

2013-03-29 | GSE45603 | GEO

Development depression-associated biomarkers research

Project description:Development depression-associated biomarkers research

| PRJNA755284 | 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 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

Peripheral whole blood: Healthy control and Major depression disorder patients

Project description:Transcriptional profiling in the whole blood samples of healthy controls and major depression disorder (MDD) patients who have never been treated with depression medication. Samples included 20 healthy controls and 20 MDD patients who have never been treated with depression medication. Goal was to discover the differentially expressed genes.

2022-07-18 | GSE201332 | GEO

The basolateral amygdala-anterior cingulate pathway contributes to depression-like behaviors and comorbidity with chronic pain behaviors in male mice

Project description:While depression and chronic pain are frequently comorbid, underlying neuronal circuits, and their relevance for the understanding of psychopathology, remain poorly defined. Here we show in mice that hyperactivity of the neuronal pathway linking the basolateral amygdala to the anterior cingulate cortex is essential for chronic pain-induced depression. In naive male mice, we demonstrate that activation of this pathway is sufficient to trigger depressive-like behaviors, as well as transcriptomic alterations that recapitulate core molecular features of depression in the human brain. These alterations notably impact gene modules related to myelination and the oligodendrocyte lineage. Among these, we show that Sema4a, a hub gene significantly upregulated in both male mice and humans in the context of altered mood, is necessary for the emergence of depressive-like behaviors. Overall, these results place the BLA-ACC pathway at the core of pain and depression comorbidity, and unravel the role of impaired myelination and Sema4a in mood control.

2023-04-26 | GSE227159 | GEO

IL-17 enhanced the susceptibility to fluoxetine resistance in depression via the JAK1-STAT6 signaling pathway

Project description:This study aims at investigating the role of IL-17 in fluoxetine resistance in depression.The WGCNA analysis was utilized to analyze differentially expressed genes between response to antidepressant (GRA) group and resistance to antidepressant (AR)group. Furthermore, the treatment resistance model of depression was established inChronic unpredictable mild stress (CUMS) mice administrated with fluoxetine (widely used clinical medication for the treatment of depression) according to sucrose preference rate. Depression-like behaviors in mice were detected in Control group, CUMS group, GRA group, AR group, SR1001 (Th17 differentiation inhibitor) group. Subsequently, HT22 cells were exposed to IL-17 secreted by Th17 differentiation. Transcriptome sequencing from the Control and IL-17 group was used to screen differential genes. And then HT22 cells were transfected with si-JAK1 or si-STAT6. Th17 differentiation, the integrity of the blood-brain barrier (BBB), JAK1-STAT6 signaling pathway related proteins were detected by western blot, immunocytochemistry, flow cytometric analysis, ELISA experiments, immunofluorescence, and PCR. The inhibition of Th17 differentiation and the reduction of peripheral IL-17 release could increase their sensitivity to fluoxetine resistance and relieve the depression-like behavior. This process may be associated with the JAK1-STAT6 pathway.

2025-04-13 | GSE263959 | GEO

Molecular regulation of melatonin biosynthesis pathway in unipolar and bipolar depression

Project description:Molecular regulation of melatonin biosynthesis pathway in unipolar and bipolar depression

| PRJNA716638 | 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

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

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