Erythropoietin-modulated calcium influx through TRPC2 is mediated by phospholipase Cγ and IP<sub>3</sub>R
Bibliographic record
Abstract
In the present study, we examined the mechanisms through which erythropoietin (Epo) activates the calcium-permeable transient receptor potential protein channel (TRPC)2. Erythroblasts were isolated from the spleens of phenylhydrazine-treated mice, and Epo stimulation resulted in a significant and dose-dependent increase in intracellular calcium concentration ([Ca(2+)](i)). This increase in [Ca(2+)](i) was inhibited by pretreatment with the phospholipase C (PLC) inhibitor U-73122 but not by the inactive analog U-73343, demonstrating the requirement for PLC activity in Epo-modulated Ca(2+) influx in primary erythroid cells. To determine whether PLC is involved in the activation of TRPC2 by Epo, cell models were used to examine this interaction. Single CHO-S cells that expressed transfected Epo receptor (Epo-R) and TRPC2 were identified, and [Ca(2+)](i) was quantitated. Epo-induced Ca(2+) influx through TRPC2 was inhibited by pretreatment with U-73122 or by downregulation of PLCgamma1 by RNA interference. PLC activation results in the production of inositol 1,4,5-trisphosphate (IP(3)), and TRPC2 has IP(3) receptor (IP(3)R) binding sites. To determine whether IP(3)R is involved in Epo-R signaling, TRPC2 mutants were prepared with partial or complete deletions of the COOH-terminal IP(3)R binding domains. In cells expressing TRPC2 IP(3)R binding mutants and Epo-R, no significant increase in [Ca(2+)](i) was observed after Epo stimulation. TRPC2 coassociated with Epo-R, PLCgamma, and IP(3)R, and the association between TRPC2 and IP(3)R was disrupted in these mutants. Our data demonstrate that Epo-R modulates TRPC2 activation through PLCgamma; that interaction of IP(3)R with TRPC2 is required; and that Epo-R, TRPC2, PLCgamma, and IP(3)R interact to form a signaling complex.
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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 | 0.001 |
| 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".