pCLCA1 lacks inherent chloride channel activity in an epithelial colon carcinoma cell line
Bibliographic record
Abstract
The effects of CLCA protein expression on the regulation of Cl(-) conductance by intracellular Ca(2+) and cAMP have been studied previously in nonepithelial cell lines chosen for low backgrounds of endogenous Cl(-) conductance. However, CLCA proteins have been cloned from, and normally function in, differentiated epithelial cells. In this study, we examine the effects of differentiation of the Caco-2 epithelial colon carcinoma cell line on modulation of Cl(-) conductance by pCLCA1 protein expression. Cl(-) transport was measured as (36)Cl(-) efflux, as transepithelial short-circuit currents, and as whole cell patch-clamp current-voltage relations. The rate of (36)Cl(-) efflux and amplitude of currents in patch-clamp studies after the addition of the Ca(2+) ionophore A-23187 were increased significantly by pCLCA1 expression in freshly passaged Caco-2 cells. However, neither endogenous nor pCLCA1-dependent Ca(2+)-sensitive Cl(-) conductance could be detected in 14-day-postpassage cells. In contrast to Ca(2+)-sensitive Cl(-) conductance, endogenous cAMP-dependent Cl(-) conductance does not disappear on Caco-2 differentiation. cAMP-dependent Cl(-) conductance was modulated by pCLCA1 expression in Caco-2 cells, and this modulation was observed in freshly passaged and in mature 14-day-postpassage Caco-2 cultures. pCLCA1 mRNA expression, antigenic pCLCA1 protein epitope expression, and pCLCA1 function as a modulator of cAMP-dependent Cl(-) conductance were retained through differentiation in Caco-2 cells, whereas Ca(2+)-dependent Cl(-) conductance disappeared. We conclude that pCLCA1 expression may increase the sensitivity of preexisting endogenous Cl(-) channels to Ca(2+) and cAMP agonists but apparently lacks inherent Cl(-) channel activity under growth conditions where endogenous channels are not expressed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".