Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
amniocyte
GSM4554043 GSM4554044 GSM4554045 GSM4554046 GSM4554047 GSM4554048 GSM4554049 GSM4554050
GSM4554051 GSM4554052 GSM4554053 GSM4554054 GSM4554055 GSM4554056
Description

Submission Date: May 14, 2020

Summary: Context: Context: Gestational diabetes (GDM) has profound effects on the intrauterine metabolic milieu and is linked to obesity and diabetes in offspring, but the mechanisms driving these effects remain largely unknown. Alterations gene expression in amniocytes exposed to GDM in utero may identify potential mechanisms leading to metabolic dysfunction later in life.

Objective: Objective: To profile changes in the transcriptome in human amniocytes exposed to GDM

Methods: A nested case-control study was performed in second trimeseter amniocytes matched for offspring sex, maternal race/ethnicity, maternal age, gestational age at amniocentesis, gestational age at birth and gestational diabetes status. Sex-specific RNA-sequencing was completed and gene expression changes were identified.

Results: Expression of interferon-stimulated genes was increased in GDM amniocytes accounting for 6 of the top 10 altered genes (q<0.05). Enriched biological pathways in GDM anmiocytes included pathways involving inflammation, the interferon response, fatty liver disease, monogenic diabetes and atherosclerosis.

Conclusion: In a unique repository of human amniocytes exposed to GDM in utero, trancriptome analysis identified enrichment of inflammation and interferon-related pathways.

GEO Accession ID: GSE150621

PMID: No Pubmed ID

Description

Submission Date: May 14, 2020

Summary: Context: Context: Gestational diabetes (GDM) has profound effects on the intrauterine metabolic milieu and is linked to obesity and diabetes in offspring, but the mechanisms driving these effects remain largely unknown. Alterations gene expression in amniocytes exposed to GDM in utero may identify potential mechanisms leading to metabolic dysfunction later in life.

Objective: Objective: To profile changes in the transcriptome in human amniocytes exposed to GDM

Methods: A nested case-control study was performed in second trimeseter amniocytes matched for offspring sex, maternal race/ethnicity, maternal age, gestational age at amniocentesis, gestational age at birth and gestational diabetes status. Sex-specific RNA-sequencing was completed and gene expression changes were identified.

Results: Expression of interferon-stimulated genes was increased in GDM amniocytes accounting for 6 of the top 10 altered genes (q<0.05). Enriched biological pathways in GDM anmiocytes included pathways involving inflammation, the interferon response, fatty liver disease, monogenic diabetes and atherosclerosis.

Conclusion: In a unique repository of human amniocytes exposed to GDM in utero, trancriptome analysis identified enrichment of inflammation and interferon-related pathways.

GEO Accession ID: GSE150621

PMID: No Pubmed ID

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

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Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.