Molecular mechanism of regulation of the calcium‐binding protein calbindin‐D<sub>9k</sub>,and its physiological role(s) in mammals: a review of current research
Bibliographic record
Abstract
Introduction Phenotype ofCaBP‐9kknockout mouse Uterine expression and regulation of CaBP‐9k Placental expression and regulation ofCaBP‐9k Duodenal and renal expression and regulation of CaBP‐9k Pituitary expression and regulation of CaBP‐9k Transcriptional regulation of CaBP‐9k Conclusions Abstract Calbindin‐D9k(CaBP‐9k) is a cytosolic calcium‐binding protein that is expressed in a variety of tissues, such as uterus, placenta, intestine, kidney, pituitary gland and bone. At present, the precise role(s) of CaBP‐9k remains to be clarified. CaBP‐9k‐null mice are normal, which indicates that other calcium‐transporter genes can compensate for the lack CaBP‐9k. Uterine CaBP‐9k has been shown to be involved in the regulation of myometrial activity by intracellular calcium. In the uterus and placenta,CaBP‐9kexpression is regulated by the sex steroid hormones oestrogen (E2) and progesterone (P4). IntestinalCaBP‐9kis involved in intestinal calcium absorption, and is regulated at the transcriptional and post‐transcriptional levels by 1,25‐dihydroxyvitamin D3, the hormonal form of vitamin D. Thus, evidence to date suggests thatCaBP‐9kmay be regulated in a tissue‐specific manner. In this review, we will summarize current data on the molecular mechanism of regulation ofCaBP‐9kin mammals, including recent research data generated in our laboratories.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".