The Ca<sup>2+</sup>release-activated Ca<sup>2+</sup>current (I<sub>CRAC</sub>) mediates store-operated Ca<sup>2+</sup>entry in rat microglia
Bibliographic record
Abstract
Ca2+ signaling plays a central role in microglial activation, and several studies have demonstrated a store-operated Ca2+ entry (SOCE) pathway to supply this ion. Due to the rapid pace of discovery of novel Ca2+ permeable channels, and limited electrophysiological analyses of Ca2+ currents in microglia, characterization of the SOCE channels remains incomplete. At present, the prime candidates are 'transient receptor potential' (TRP) channels and the recently cloned Orai1, which produces a Ca2+-release-activated Ca2+ (CRAC) current. We used cultured rat microglia and real-time RT-PCR to compare expression levels of Orai1, Orai2, Orai3, TRPM2, TRPM7, TRPC1, TRPC2, TRPC3, TRPC4, TRPC5, TRPC6 and TRPC7 channel genes. Next, we used Fura-2 imaging to identify a store-operated Ca2+ entry pathway that was reduced by depolarization and blocked by Gd3+, SKF-96365, diethylstilbestrol (DES), and a high concentration of 2-aminoethoxydiphenyl borate (50 microM 2-APB). The Fura-2 signal was increased by hyperpolarization, and by a low concentration of 2-APB (5 microM), and exhibited Ca(2+)-dependent potentiation. These properties are entirely consistent with Orai1/CRAC, rather than any known TRP channel and this conclusion was supported by patch-clamp electrophysiological analysis. We identified a store-operated Ca2+ current with the same properties, including high selectivity for Ca2+ over monovalent cations, pronounced inward rectification and a very positive reversal potential, Ca(2+)-dependent current potentiation, and block by SKF-96365, DES and 50 microM 2-APB. Determining the contribution of Orai1/CRAC in different cell types is crucial to future mechanistic and therapeutic studies; this comprehensive multi-strategy analysis demonstrates that Orai1/CRAC channels are responsible for SOCE in primary microglia.
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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 | 0.001 |
| 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".