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Dataset of RNA-Seq transcriptome of the fetal liver at day 83 of gestation associated with periconceptual maternal nutrition in beef heifers

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier, 2023.
    • الموضوع:
      2023
    • Collection:
      LCC:Computer applications to medicine. Medical informatics
      LCC:Science (General)
    • نبذة مختصرة :
      Herein, we present a dataset based on the RNA-Seq analysis of liver tissue from bovine female fetuses at day 83 of gestation. The findings were reported in the main article, “Periconceptual maternal nutrition affects fetal liver programming of energy- and lipid-related genes” [1]. These data were generated to investigate the effects of periconceptual maternal vitamin and mineral supplementation and rates of body weight gain on the transcript abundance of genes associated with fetal hepatic metabolism and function. To this end, crossbred Angus beef heifers (n = 35) were randomly assigned to 1 of 4 treatments in a 2 × 2 factorial design. The main effects tested were vitamin and mineral supplementation (VTM or NoVTM – at least 71 days pre-breeding to day 83 of gestation) and rate of weight gain (low (LG – 0.28 kg/d) or moderate (MG – 0.79 kg/d) – from breeding to day 83). The fetal liver was collected on day 83 ± 0.27 of gestation. After total RNA isolation and quality control, strand-specific RNA libraries were prepared and sequenced on the Illumina® NovaSeq 6000 platform to generate paired-end 150-bp reads. After read mapping and counting, differential expression analysis was performed with edgeR. We identified 591 unique differentially expressed genes across all six vitamin-gain contrasts (FDR ≤ 0.1). To our knowledge, this is the first dataset investigating the fetal liver transcriptome in response to periconceptual maternal vitamin and mineral supplementation and/or the rate of weight gain. The data described in this article provides genes and molecular pathways differentially programming liver development and function.
    • File Description:
      electronic resource
    • ISSN:
      2352-3409
    • Relation:
      http://www.sciencedirect.com/science/article/pii/S2352340923002925; https://doaj.org/toc/2352-3409
    • الرقم المعرف:
      10.1016/j.dib.2023.109173
    • الرقم المعرف:
      edsdoj.82583cf510a45488989d0595dd2ff40