Cloning and Functional Characterization of a Cation-Cl− Cotransporter-interacting Protein
Bibliographic record
Abstract
To date, the cation-Cl(-) cotransporter (CCC) family comprises two branches of homologous membrane proteins. One branch includes the Na(+)-K(+)-Cl(-) cotransporters (NKCCs) and the Na(+)-Cl(-) cotransporter, and the other branch includes the K(+)-Cl(-) cotransporters. Here, we have isolated the first member of a third CCC family branch. This member shares approximately 25% identity in amino acid sequence with each of the other known mammalian CCCs. The corresponding cDNA, obtained from a human heart library and initially termed WO(3.3), encodes a 914-residue polypeptide of 96.2 kDa (calculated mass). Sequence analyses predict a 12-transmembrane domain (tm) region, two N-linked glycosylation sites between tm(5) and tm(6), and a large intracellular carboxyl terminus containing protein kinase C phosphorylation sites. Northern blot analysis uncovers an approximately 3.7-kilobase pair transcript present in muscle, placenta, brain, and kidney. With regard to function, WO(3. 3) expressed either in HEK-293 cells or Xenopus laevis oocytes does not increase Rb(+)-, Na(+)-, and Cl(-)-coupled transport during 5- or 6-h fluxes, respectively. In the oocyte, however, WO(3.3) specifically inhibits human NKCC1-mediated (86)Rb(+) flux. In addition, coimmunoprecipitation studies using lysates from WO(3. 3)-transfected HEK-293 cells suggest a direct interaction of WO(3.3) with endogenous NKCC. Thus, we have cloned and characterized the first putative heterologous CCC-interacting protein (CIP) known at present. CIP1 may be part of a novel family of proteins that modifies the activity or kinetics of CCCs through heterodimer formation.
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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 | 0.001 |
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".