Abstract
Follicle-stimulating hormone (FSH) contributes to the acquisition of oocyte competence by modulating signalling pathways in cumulus cells (CCs), albeit much less is known about transcription factors (TFs) that orchestrate the downstream transcriptional changes. This work allowed to prospect TFs involved in FSH-mediated signalling during oocyte in vitro maturation (IVM). Bovine cumulus-oocyte complexes underwent IVM with FSH (FSH+) or without FSH (control/CTL) for 22 h, and CCs were subjected to gene expression profiling. Five software identified reference genes for RT-qPCR (ATP1A1, UBB, and YWHAZ). The transcript levels of FSH-responsive genes HAS2 and PTGS2 (COX2) validated the experimental design. Among candidate TFs, MYC was down-regulated (0.35-fold; P < 0.0001), and THAP11 (RONIN) was up-regulated (1.47-fold; P = 0.016) under FSH+ conditions. In silico analyses predicted binding motifs at MYC and THAP11 genes for previously known FSH-responsive TFs. Signalling pathways (EGFR, ERK, GSK3, PKA, and P38) may execute post-translational regulation due to potential phosphorylation sites in MYC and THAP11 proteins. Prediction of protein–protein interaction networks showed MYC as a core component of FSH signalling, albeit THAP11 acts independently. Hence, MYC integrates FSH signalling networks and may assist in exploring genome-wide transcriptional changes associated with the acquisition of oocyte competence.
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| 2021 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
1040 |
| Journal Impact Factor | 0,959 |
| Rank by Impact Factor | Veterinary Sciences 103/144 |
| Impact Factor without Journal Self Cites |
0,876 |
| 5 Year Impact Factor |
1,222 |
| Journal Citation Indicator | 0,48 |
| Rank by Journal Citation Indicator | Veterinary Sciences 106/168 |
| Scimago | |
| Scimago H-index |
36 |
| Scimago Journal Rank |
0,313 |
| Scimago Quartile Score | Veterinary (miscellaneous) (Q2) |
| Scopus | |
| Scopus Cite Score |
1,7 |
| Scopus CIte Score Rank |
General Veterinary 79/183 (Q2) |
| Scopus SNIP |
0,610 |
| 2020 | |
| Total Cites | 987 |
| WoS | |
| Journal Impact Factor |
0,955 |
| Rank by | Veterinary Sciences 101/146 (Q3) |
| Impact Factor | |
| Impact Factor | 0,920 |
| without | |
| Journal Self Cites | |
| 5 Year | 1,164 |
| Impact Factor | |
| Journal | 0,57 |
| Citation Indicator | |
| Rank by Journal | Veterinary Sciences 93/166 (Q3) |
| Citation Indicator | |
| Citable | 49 |
| Items | |
| Total | 49 |
| Articles | |
| Total | 0 |
| Reviews | |
| Scimago | 33 |
| H-index | |
| Scimago | 0,395 |
| Journal Rank | |
| Scimago | Veterinary (miscellaneous) Q2 |
| Quartile Score | |
| Scopus | 355/217=1,6 |
| Scite Score | |
| Scopus | General Veterinary 73/183 (Q2) |
| Scite Score Rank | |
| Scopus | 0,565 |
| SNIP | |
| Days from | 145 |
| submission | |
| to acceptance | |
| Days from | 150 |
| acceptance | |
| to publication | |
| Acceptance | 19% |
| Rate |
| 2019 | |
|---|---|
| Total Cites WoS |
798 |
| Impact Factor | 0,991 |
| Impact Factor without Journal Self Cites |
0,897 |
| 5 Year Impact Factor |
1,092 |
| Immediacy Index |
0,119 |
| Citable Items |
59 |
| Total Articles |
59 |
| Total Reviews |
0 |
| Cited Half-Life |
9,1 |
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9,2 |
| Eigenfactor Score |
0,00080 |
| Article Influence Score |
0,253 |
| % Articles in Citable Items |
100,00 |
| Normalized Eigenfactor |
0,09791 |
| Average IF Percentile |
42,606 |
| Scimago H-index |
32 |
| Scimago Journal Rank |
0,372 |
| Scopus Scite Score |
335/213=1,6 |
| Scopus Scite Score Rank |
General Veterinary 62/178 (Q2) |
| Scopus SNIP |
0,634 |
| Acceptance Rate |
18% |
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