| Title |
Transcriptome analysis of granulosa cells after conventional vs long FSH-induced superstimulation in cattle
|
|---|---|
| Published in |
BMC Genomics, April 2018
|
| DOI | 10.1186/s12864-018-4642-9 |
| Pubmed ID | |
| Authors |
F. C. F. Dias, M. I. R. Khan, M. A. Sirard, G. P. Adams, J. Singh |
| Abstract |
Prolongation of superstimulatory treatment appears to be associated with a greater superovulatory response and with greater oocyte maturation in cattle. A genome-wide bovine oligo-microarray was used to compare the gene expression of granulosa cells collected from ovarian follicles after differing durations of the growing phase induced by exogenous FSH treatment. Cows were given a conventional (4-day) or long (7-day) superstimulatory treatment (25 mg FSH im at 12-h intervals; n = 6 per group), followed by prostaglandin treatment with last FSH and LH treatment 24 h later. Granulosa cells were harvested 24 h after LH treatment. The expression of 416 genes was down-regulated and 615 genes was up-regulated in the long FSH group compared to the conventional FSH group. Quantification by RT-PCR of 7 genes (NTS, PTGS2, PTX3, RGS2, INHBA, CCND2 and LRP8) supported the microarrays data. Multigene bioinformatic analysis indicates that markers of fertility and follicle maturity were up-regulated in the long FSH group. Using the large gene expression dataset generated by the genomic analysis and our previous associated with the growth phase and gene expression changes post LH, we can conclude that a prolonged FSH-induced growing phase is associated with transcriptomic characteristics of greater follicular maturity and may therefore be more appropriate for optimizing the superovulatory response and developmental competence of oocytes in cattle. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 6 | 18% |
| Researcher | 5 | 15% |
| Professor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 7 | 21% |
| Agricultural and Biological Sciences | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Mathematics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2018.
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#20,481,952
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Outputs of similar age from BMC Genomics
#205
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