Tribbles homolog 2 regulates binding partners expression in bovine granulosa cells
Bibliographic record
Abstract
The Tribbles (TRIB) family including TRIB2 are serine/threonine pseudokinases, which function as signaling mediators and scaffolding proteins regulating numerous cellular events such as proliferation, differentiation and cell death through protein stability and activity. However, the signaling pathways affected by TRIB2 in granulosa cells (GC) during the ovarian follicular development is not fully defined. We previously identified and reported TRIB2 as differentially expressed in growing dominant follicles (DF) while downregulated by the luteinizing hormone (LH) surge in ovulatory follicles. In the present study, we used the yeast two‐hybrid screening and in vitro co‐immunoprecipitation to identify and confirm TRIB2 interactions in GC. We identified CALM1, INHBA, INPPL1, NT5E, SCD, SDHB and RAB14 as TRIB2 binding partners. RT‐PCR analyses showed all TRIB2 binding partners are present in GC of DF but differently regulated throughout the different stages of follicular development. TRIB2 inhibition and overexpression using, respectively, CRISPR/Cas9 and pQE systems revealed TRIB2 differently regulates the expression of its binding partners . INPPL1 and INHBA were decreased in TRIB2‐inhibited GC and increased in TRIB2‐overexpressed GC (P<0.05) while NT5E and SDHB were increased following TRIB2 inhibition (P<0.05). CALM1 was increased following TRIB2 overexpression and both inhibition and overexpression of TRIB2 resulted in increased RAB14 expression (P<0.05). The regulation of these partners by TRIB2 reveal a crucial role of TRIB2 in a number of biological processes in GC, and provide a larger view of potential TRIB2‐regulated signal transduction pathways and a strong evidence that TRIB2 may act as a regulator of target effectors during ovarian follicular development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".