Transcriptomes of bovine ovarian follicular and luteal cells

Sarah Romereim, University of Nebraska-Lincoln
Adam Beever, University of Nebraska-Lincoln
William E. Pohlmeier, University of Nebraska-Lincoln
Pan Zhang, University of Nebraska Medical Center
Xiaoying Hou, University of Nebraska Medical Center
Heather Talbott, University of Nebraska Medical Center
Robert A. Cushman, USDA-ARS
Jennifer R. Wood, University of Nebraska-Lincoln
John S. Davis, University of Nebraska Medical Center
Andrea S. Cupp, University of Nebraska-Lincoln

Document Type Article

This is an open access article under the CC-BY license.

Abstract

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).