A functional interaction between CHIF and Na-K-ATPase: implication for regulation by FXYD proteins
Bibliographic record
Abstract
Like the gamma-subunit of Na-K-ATPase, the corticosteroid hormone-induced factor (CHIF) is a member of the FXYD family of one-transmembrane-segment proteins. Both CHIF and two splice variants of gamma, gamma(a) and gamma(b), are expressed in the kidney. Immunolocalization experiments demonstrate mutually exclusive expression of CHIF and gamma in different nephron segments. Specific coimmunoprecipitation experiments demonstrate the existence in kidney membranes of the complexes alpha/beta/gamma(a), alpha/beta/gamma(b), and alpha/beta/CHIF and exclude mixed complexes such as alpha/beta/gamma(a)/gamma(b) and alpha/beta/gamma/CHIF. CHIF has been expressed in HeLa cells harboring the rat alpha(1)-subunit of Na-K-ATPase. (86)Rb flux experiments demonstrate that CHIF induces a two- to threefold increase in apparent affinity for cytoplasmic Na (K'(Na)) but does not affect affinity for extracellular K (Rb) ions (K'(K)) or V(max). Measurements of Na-K-ATPase using isolated membranes show similar but smaller effects of CHIF on K'(Na), whereas K'(K) and K'(ATP) are unaffected. The functional effects of CHIF differ from those of gamma. An implication of these findings is that other FXYD proteins could act as tissue-specific modulators of Na-K-ATPase.
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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 | 0.000 |
| 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".