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Transcriptomes of bovine ovarian follicular and luteal cells

Sarah M. Romereim, Adam F. Summers, William E. Pohlmeier, Pan Zhang, Xiaoying Hou, Heather A. Talbott, Robert A. Cushman, Jennifer R. Wood, John S. Davis, Andrea S. Cupp
Data in Brief 2017 v.10 pp. 335-339
RNA, analysis of variance, cattle, data collection, gene expression regulation, genes, granulosa cells, luteal cells, microarray technology, transcriptome
Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article “Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions” (Romereim et al., 2017) [1].
Data from: Transcriptomes of bovine ovarian follicular and luteal cells