1. Transcriptome profiling of granulosa cells of bovine ovarian follicles during growth from small to large antral sizes
- Author
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Katja Hummitzsch, Helen F. Irving-Rodgers, Raymond J. Rodgers, Nicholas Hatzirodos, Stephanie E Morris, and Margaret L Harland
- Subjects
Granulosa cells ,Granulosa cell ,Regulatory Factor X Transcription Factors ,Biology ,Phosphatidylinositol 3-Kinases ,Ovarian Follicle ,Follicular phase ,Genetics ,medicine ,Animals ,Hedgehog Proteins ,Ovarian follicle ,Extracellular Signal-Regulated MAP Kinases ,Follicles ,Principal Component Analysis ,Receptors, Notch ,Microarray analysis techniques ,Gene Expression Profiling ,Ovary ,Gene Expression Regulation, Developmental ,Proteins ,Microarray analysis ,Bovine ,Oocyte ,Molecular biology ,Gene expression profiling ,DNA-Binding Proteins ,Proto-Oncogene Proteins c-kit ,STAT Transcription Factors ,medicine.anatomical_structure ,Oocytes ,Cattle ,Female ,Folliculogenesis ,Corpus luteum ,Biotechnology ,Research Article ,Signal Transduction ,Transcription Factors - Abstract
BackgroundAt later stages of folliculogenesis, the mammalian ovarian follicle contains layers of epithelial granulosa cells surrounding an antral cavity. During follicle development granulosa cells replicate, secrete hormones and support the growth of the oocyte. In cattle, the follicle needs to grow > 10 mm in diameter to allow an oocyte to ovulate, following which the granulosa cells cease dividing and differentiate into the specialised cells of the corpus luteum. To better understand the molecular basis of follicular growth and granulosa cell maturation, we undertook transcriptome profiling of granulosa cells from small (< 5 mm; n = 10) and large (> 10 mm, n = 4) healthy bovine follicles using Affymetrix microarrays (24,128 probe sets).ResultsPrincipal component analysis for the first two components and hierarchical clustering showed clustering into two groups, small and large, with the former being more heterogeneous. Size-frequency distributions of the coefficient of variation of the signal intensities of each probe set also revealed that small follicles were more heterogeneous than the large. IPA and GO enrichment analyses revealed that processes of axonal guidance, immune signalling and cell rearrangement were most affected in large follicles. The most important networks were associated with: (A) Notch,SLIT/ROBOandPI3Ksignalling, and (B)ITGB5and extracellular matrix signalling through extracellular signal related kinases (ERKs). Upstream regulator genes which were predicted to be active in large follicles includedSTATandXBP1.By comparison, developmental processes such as those stimulated byKIT,IHHandMESTwere most active in small follicles.MGEA5was identified as an upstream regulator in small follicles. It encodes an enzyme that modifies the activity of many target proteins, including those involved in energy sensing, by removal of N-acetylglucosamine from serine and threonine residues.ConclusionsOur data suggest that as follicles enlarge more genes and/or pathways are activated than are inactivated, and gene expression becomes more uniform. These findings could be interpreted that either the cells in large follicles are more uniform in their gene expression, or that follicles are more uniform or a combination of both and that additional factors, such as LH, are additionally controlling the granulosa cells.
- Published
- 2014