Transcriptome dataset of omental and subcutaneous adipose tissues from gestational diabetes patients.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
17 06 2022
17 06 2022
Historique:
received:
23
12
2021
accepted:
23
05
2022
entrez:
17
6
2022
pubmed:
18
6
2022
medline:
22
6
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35715414
doi: 10.1038/s41597-022-01457-5
pii: 10.1038/s41597-022-01457-5
pmc: PMC9205947
doi:
Substances chimiques
RNA
63231-63-0
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
344Informations de copyright
© 2022. The Author(s).
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