Author
ROMEREIM, SARAH - UNIVERSITY OF NEBRASKA | |
SUMMERS, ADAM - UNIVERSITY OF NEBRASKA | |
POHLMEIER, WILLIAM - UNIVERSITY OF NEBRASKA | |
ZHANG, PAN - NEBRASKA MEDICAL CENTER | |
HOU, XIAOYING - NEBRASKA MEDICAL CENTER | |
TALBOTT, HEATHER - NEBRASKA MEDICAL CENTER | |
Cushman, Robert - Bob | |
WOOD, JENNIFER - UNIVERSITY OF NEBRASKA | |
DAVIS, JOHN - NEBRASKA MEDICAL CENTER | |
CUPP, ANDREA - UNIVERSITY OF NEBRASKA |
Submitted to: Data in Brief
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 12/10/2016 Publication Date: 12/10/2016 Publication URL: https://handle.nal.usda.gov/10113/5695363 Citation: Romereim, S.M., Summers, A.F., Pohlmeier, W.E., Zhang, P., Hou, X., Talbott, H.A., Cushman, R.A., Wood, J.R., Davis, J.S., Cupp, A.S. 2017. Transcriptomes of bovine ovarian follicular and luteal cells. Data in Brief. 10:335-339. doi: 10.1016/j.dib.2016.11.093 Interpretive Summary: Proper ovarian function is crucial for reproductive success in beef cattle, and there is still much that we do not know about the physiological pathways involved in ovulation of the follicle and formation of the corpus luteum necessary to maintain pregnancy. After ovulation, cells of the ovarian follicle become the luteal cells of the corpus luteum. Aside from known cell type-specific receptors and steroidogenic enzymes, little is known about the differences in the gene expression profiles of these cell types. Analysis of the RNA present in each cell type using Affymetrix microarrays yielded new cell-specific genetic markers, functional insight into the behavior of each cell type via Gene Ontology Annotations and Ingenuity Pathway Analysis, and evidence of luteal cell lineages using Principle Component Analysis. Enriched expression of select genes for each cell type was validated. This expression analysis offers insight into the lineage and differentiation process that transforms follicular cells into luteal cells. This basic research can aid in understanding how ovulation and corpus luteum formation can fail, leading to decreased pregnancy in beef cows, thereby providing insight into novel interventions to improve synchronization of estrus, induction of ovulation, and pregnancy rates in beef cows. The functional genomics data can also be merged with genome-wide association analyses of age at puberty and heifer pregnancy rate to identify transcripts within regions that are influencing these traits to aid in identifying functional genetic markers. Data included in Molecular and Cellular Endocrinology paper (115 log #330338). Technical Abstract: RNA expression analysis was performed on four somatic ovarian cell types using a gene array panel: 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 desposited 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., 2016). |