Unknown

Dataset Information

0

Gene expression profiling of bovine ovarian follicular and luteal cells provides insight into cellular identities and functions.


ABSTRACT: After ovulation, somatic cells of the ovarian follicle (theca and granulosa cells) become the small and large 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 four cell types. Analysis of the RNA present in each bovine 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 small and large luteal cell lineages using Principle Component Analysis. Enriched expression of select genes for each cell type was validated by qPCR. This expression analysis offers insight into cell-specific behaviors and the differentiation process that transforms somatic follicular cells into luteal cells.

SUBMITTER: Romereim SM 

PROVIDER: S-EPMC6711749 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Gene expression profiling of bovine ovarian follicular and luteal cells provides insight into cellular identities and functions.

Romereim Sarah M SM   Summers Adam F AF   Pohlmeier William E WE   Zhang Pan P   Hou Xiaoying X   Talbott Heather A HA   Cushman Robert A RA   Wood Jennifer R JR   Davis John S JS   Cupp Andrea S AS  

Molecular and cellular endocrinology 20160928


After ovulation, somatic cells of the ovarian follicle (theca and granulosa cells) become the small and large 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 four cell types. Analysis of the RNA present in each bovine cell type using Affymetrix microarrays yielded new cell-specific genetic markers, functional insight into the behavior of each cell type via Ge  ...[more]

Similar Datasets

| S-EPMC5157705 | biostudies-literature
| S-EPMC2945787 | biostudies-literature
2014-06-15 | GSE54692 | GEO
| S-EPMC10774905 | biostudies-literature
| S-EPMC7976567 | biostudies-literature
| S-EPMC10209254 | biostudies-literature
| S-EPMC8228251 | biostudies-literature
| S-EPMC7007665 | biostudies-literature
2014-06-15 | E-GEOD-54692 | biostudies-arrayexpress