Gene Expression and Functional Studies of Janus Kinase 3 (JAK3) in Ovarian Granulosa Cells
Bibliographic record
Abstract
Janus kinase 3 (JAK3) belongs to a family of membrane‐associated intracellular non‐receptor tyrosine kinase proteins that mediate signals initiated by cytokine and growth factor receptors through the JAK‐STAT pathway. In contrast with the ubiquitous expression of other family members (JAK1, JAK2, and TYK2), JAK3 is predominantly expressed in hematopoietic cells. We previously identified JAK3 as a differentially expressed gene in granulosa cells (GC) of bovine dominant or preovulatory follicles. The objectives of the current study were to characterize the spatio‐temporal expression pattern of JAK3 in bovine ovarian follicles and to elucidate JAK3 mode of action in GC. GC were obtained from small follicles (SF: 2‐4 mm), dominant follicles (DF) at day 5 of the estrous cycle, and ovulatory follicles (OF) 24 hours (h) following injection of hCG. RT‐PCR analyses showed greatest expression of JAK3 in GC of DF, while the lowest expression was in GC of OF (P < 0.0001). Temporal expression analysis of JAK3 in follicular walls (granulosa and theca cells) of OF at 0, 6, 12, 18 and 24 h after hCG injection showed 5‐ and 20‐fold reduction at 12 and 24 h, respectively, following hCG injection as compared to 0 h (P < 0.05). Results of a yeast‐two‐hybrid screening of DF‐cDNAs library with JAK3 showed activation of the GAL4‐responsive reporters suggesting physical interactions between JAK3 and specific proteins in GC, which were confirmed by co‐immunoprecipitation analyses.This study reports for the first time that JAK3 is differentially expressed in GC of preovulatory follicles supporting a physiologically relevant role of JAK3 in follicular development, and provides insights into the mode of action and function of JAK3 in GC. (Research supported by NSERC of Canada grant # 104199 to JGL)
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".