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  • 标题:Transcriptome dataset of omental and subcutaneous adipose tissues from gestational diabetes patients
  • 本地全文:下载
  • 作者:David Salcedo-tacuma ; Leonardo Bonilla ; Maria Cristina Geney Montes
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-8
  • DOI:10.1038/s41597-022-01457-5
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 profle of subcutaneous and omental adipose tissues (at) collected from patients with gestational diabetes and matched controls. Samples were harvested during cesarean delivery. Results show diferences based on anatomical location and provide whole- transcriptome data for further exploration of gene expression patterns unique to GD patients.
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