Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MRNA expression data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

ABSTRACT: mRNA expression data throughout human muscle cell differentiation in n=13 individuals with type 2 diabetes and n=13 controls

ORGANISM(S): Homo sapiens

PROVIDER: GSE166502 | GEO | 2021/02/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

DNA methylation data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

Project description:DNA methylation data throughout human muscle cell differentiation in n=14 individuals with type 2 diabetes and n=14 controls

2021-02-16 | GSE166787 | GEO

mRNA expression data for human muscle cells from individuals with type 2 diabetes and controls

Project description:mRNA expression data for both proliferating myoblasts and differentiated myotubes from n=13 individuals with type 2 diabetes and n=13 controls

2021-02-10 | GSE166467 | GEO

mRNA expression data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

Project description:mRNA expression data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

| PRJNA701066 | ENA

DNA methylation data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

Project description:DNA methylation data throughout human muscle cell differentiation in individuals with type 2 diabetes and controls

| PRJNA701957 | ENA

DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

Project description:DNA methylation data for both proliferating myoblasts and differentiated myotubes from n=14 individuals with type 2 diabetes and n=14 controls

2021-02-12 | GSE166652 | GEO

mRNA expression data for human muscle cells from individuals with type 2 diabetes and controls

Project description:mRNA expression data for human muscle cells from individuals with type 2 diabetes and controls

| PRJNA701014 | ENA

DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

Project description:DNA methylation data for human muscle cells from individuals with type 2 diabetes and controls

| PRJNA701481 | ENA

Near-whole-genome transcriptome analysis of gene expression in human skeletal muscle tissue at baseline in obese individuals with Type 2 Diabetes

Project description:Analysis of gene expression associated with exercise response. The hypothesis tested was that individuals with Type 2 Diabetes that failed to demonstrate exercise-induced metabolic improvements would also reflect this lack of response in their skeletal muscle transcriptional profile at baseline. Of 186 genes identified by microarray analysis, 70% were upregulated in Responders and downregulated in Non-responders. Several genes involved in substrate metabolism and mitochondrial biogenesis differed significantly between the groups at baseline. This differential baseline gene expression indicated that Non-responders had blunted oxidative capacity. Total RNA extracted from baseline samples of skeletal muscle of obese individuals with Type 2 Diabetes who were characterized as either Responders or Non-responders was examined for differential expression of exercise response-assocated genes.

2015-11-10 | E-GEOD-74782 | biostudies-arrayexpress

Methylation arrays (MethylationEPIC) of whole blood of individuals with type 1 diabetes

Project description:Type 1 diabetes (1a) diabetes is an autoimmune disease in which both environmental and genetic factors play a role. Epigenetic marks such as DNA methylation, being molecular links between the environment and the genome function, are sound candidates for the explanation of part of the aetiology and mechanisms of the disease. Here, the methylomes of the whole blood of 18 adult individuals with T1D were profiled using Illumina's MethylationEPIC array technology.

2020-12-22 | E-MTAB-8694 | biostudies-arrayexpress

Circulating microRNAs in young individuals with long-duration type 1 diabetes in comparison with healthy controls

Project description:MicroRNAs (miRNAs) are short non-coding RNAs that are involved in post-transcriptional control of gene expression. The objective of this case-control study was to explore circulating miRNAs in young individuals with long-duration type 1 diabetes (T1D) and healthy controls. Twelve adolescents, age 15.0–17.9 years, with T1D duration of more than 8 years (mean 11.1 years), were enrolled from the Swedish diabetes quality registry. An age-matched control group (n = 12) was recruited. Circulating miRNAs (n = 187) were analyzed by quantitative PCR. We observed that 27 miRNAs were upregulated and one was downregulated in T1D. Six of these miRNAs were tissue-enriched (blood cells, gastrointestinal, nerve, and thyroid tissues). Six miRNAs with the largest difference in plasma, five up-regulated (hsa-miR-101-3p, hsa-miR-135a-5p, hsa-miR-143-3p, hsa-miR-223-3p and hsa-miR-410-3p (novel for T1D)) and one down-regulated (hsa-miR-495-3p), with P-values below 0.01, were selected for further in-silico analyses. AKT1, VEGFA and IGF-1 were identified as common targets. In conclusion, 28 of the investigated miRNAs were differently regulated in long-duration T1D in comparison with controls. Several associations with cancer were found for the six miRNAs with the largest difference in plasma. Circulating miRNAs are potential biomarkers and treatment targets with clinical implications for diabetes-related complications.

2023-10-18 | GSE226755 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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