Measurement of intracellular chloride ion concentration in ICC in situ and in explant culture
Bibliographic record
Abstract
BACKGROUND: Chloride channels are proposed to play a central role in the electrical pacemaking mechanism of interstitial cells of Cajal (ICC). A key unknown factor in the consideration of this role is the chloride equilibrium potential (E(Cl)), as determined by the relative concentrations of intra- ([Cl(-)](i)) and extracellular ([Cl(-)](o)) chloride ions. METHODS: To calculate the E(Cl) of ICC, [Cl(-)](i) was measured with the fluorescent chloride indicator N-(6-methoxyquinolyl) acetoethyl ester (MQAE). Pacemaker ICC in explant cultures or in situ, i.e. ICC associated with the myenteric plexus of the small intestine, were loaded with MQAE and fluorescence was measured by laser scanning confocal microscopy. The dye fluorescence was then calibrated against known [Cl(-)](i) by treating the explants or in situ preparations with chloride ionophore and varying bath chloride concentrations. KEY RESULTS: In explants, ICC [Cl(-)](i) was measured as 13 mmol L(-1) with [Cl(-)](o) of 100 mmol L(-1), giving an E(Cl) of -52 mV [corrected]. With [Cl(-)](o) at 166 mmol L(-1), [Cl(-)](i) was 26 mmol L(-1), giving an E(Cl) of -47 mV[corrected]. In situ, ICC [Cl(-)](i) was measured as 26 mmol L(-1) with [Cl(-)](o) of 130 mmol L(-1), giving an E(Cl) of -41 mV [corrected]. Importantly ICC compensate for changes in extracellular chloride by changing [Cl(-)](i) and thus maintain E(Cl). In ICC explant clusters, [Cl(-)](i) was seen to fluctuate, possibly evoked by rhythmic changes in intracellular calcium. CONCLUSIONS & INFERENCES: The intracellular chloride concentration in ICC fluctuates to keep its equilibrium potential constant. The identification of E(Cl) as positive to the resting membrane potential of ICC indicates that opening of chloride channels will depolarize ICC.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".