Type 3 Inositol 1,4,5-Trisphosphate Receptor is a Crucial Regulator of Calcium Dynamics Mediated by Endoplasmic Reticulum in HEK Cells
Bibliographic record
Abstract
Being the largest the Ca2+ store in mammalian cells, endoplasmic reticulum (ER)-mediated Ca2+ signalling often involves both Ca2+ release via inositol 1, 4, 5-trisphosphate receptors (IP3R) and store operated Ca2+ entries (SOCE) through Ca2+ release activated Ca2+ (CRAC) channels on plasma membrane (PM). IP3Rs are functionally coupled with CRAC channels and other Ca2+ handling proteins. However, it still remains less well defined as to whether IP3Rs could regulate ER-mediated Ca2+ signals independent of their Ca2+ releasing ability. To address this, we generated IP3Rs triple and double knockout human embryonic kidney (HEK) cell lines (IP3Rs-TKO, IP3Rs-DKO), and systemically examined ER Ca2+ dynamics and CRAC channel activity in these cells. The results showed that the rate of ER Ca2+ leakage and refilling, as well as SOCE were all significantly reduced in IP3Rs-TKO cells. And these TKO effects could be rescued by over-expression of IP3R3. Further, results showed that the diminished SOCE was caused by NEDD4L-mediated ubiquitination of Orai1 protein. Together, our findings indicate that IP3R3 is one crucial player in coordinating ER-mediated Ca2+ signalling.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".