ArticleScientific data2022
Transcriptome dataset of omental and subcutaneous adipose tissues from gestational diabetes patients.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Depot-specific differences in visceral and subcutaneous adipose tissue from patients with obesity.Adipocyte · 2026Article
- Transferrin receptor 1-mediated iron uptake supports thermogenic activation in human cervical-derived adipocytes.FEBS letters · 2026Article
- Integrated analysis of the adipocyte plasma membrane proteome reveals KCC1 and PIT2 as novel insulin-responsive transporters.The Journal of biological chemistry · 2026Article
- A bimodal dataset for diabetes research.Scientific data · 2026Article
- Single cell transcriptomics of human weight loss links adipocyte NPY1R to control of lipolysis.Molecular metabolism · 2026Article
- Dynamic subcellular proteomics identifies regulators of adipocyte insulin action.Nature communications · 2026Article
- Thiamine transporter 2 and Janus kinase 2 inhibitor, fedratinib suppresses thermogenic activation of human neck area-derived adipocytes.Frontiers in endocrinology · 2026Article
- The nature of sex differences in catecholamine-induced lipolysis in subcutaneous fat cells.iScience · 2025Article
- Multi-layered transcriptional control of glycogen metabolism coordinates thermogenic remodeling of white adipocytes in male mice.Nature communications · 2025Article
- Transcriptome dataset of omental and subcutaneous adipose tissues from gestational diabetes patients.Scientific data · 2022Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gestational diabetes (GD) is one of the most prevalent metabolic diseases in pregnant women worldwide. GD is a risk factor for adverse pregnancy outcomes, including macrosomia and preeclampsia. Given the multifactorial etiology and the complexity of its pathogenesis, GD requires advanced omics analyses to expand our understanding of the disease. Next generation RNA sequencing (RNA-seq) was used to evaluate the transcriptomic profile of subcutaneous and omental adipose tissues (AT) collected from patients with gestational diabetes and matched controls. Samples were harvested during cesarean delivery. Results show differences based on anatomical location and provide whole-transcriptome data for further exploration of gene expression patterns unique to GD patients.
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