The Chloride Channel ClC-4 Co-localizes with Cystic Fibrosis Transmembrane Conductance Regulator and May Mediate Chloride Flux across the Apical Membrane of Intestinal Epithelia
Bibliographic record
Abstract
Cystic fibrosis (CF) causing mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) lead to mislocalization of CFTR protein from the brush border membrane of epithelial tissues and/or its dysfunction as a chloride channel. In initial reports, it was proposed that certain channels from the ClC family of chloride channels may provide compensatory or alternative pathways for epithelial chloride secretion in tissues from cystic fibrosis patients. In the present work, we provide the first evidence that ClC-4 protein is functionally expressed on the surface of the intestinal epithelium and hence, is appropriately localized to act as a therapeutic target in this CF-affected tissue. We show using confocal and electron microscopy that ClC-4 co-localizes with CFTR in the brush border membrane of the epithelium lining intestinal crypts in mouse and human tissues. In Caco-2 cells, a cell line thought to model human enterocytes, ClC-4 protein is expressed on the cell surface and also partially co-localizes with EEA1 and transferrin, marker molecules of early and recycling endosomes, respectively. Hence, like CFTR, ClC-4 may cycle between the plasma membrane and endosomal compartment. Furthermore, we show that ClC-4 functions as a chloride channel on the surface of these epithelial cells as antisense ClC-4 cDNA expression reduced the amplitude of endogenous chloride currents by 50%. These studies provide the first evidence that ClC-4 is endogenously expressed and may be functional in the brush border membrane of enterocytes and hence should be considered as a candidate channel to provide an alternative pathway for chloride secretion in the gastrointestinal tract of CF patients.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".