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Record W4232454321 · doi:10.1042/bj3450503

Human Nedd4 interacts with the human epithelial Na+ channel: WW3 but not WW1 binds to Na+-channel subunits

2000· article· en· W4232454321 on OpenAlexfundno aff
T. J. Farr, Sarah J. CODDINGTON-LAWSON, Peter M. Snyder, Fiona J. McDonald

Bibliographic record

VenueBiochemical Journal · 2000
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsnot available
FundersHealth Research Council of New ZealandHospital for Sick ChildrenWellington Medical Research Foundation
KeywordsEpithelial sodium channelNEDD4XenopusProtein subunitUbiquitin ligaseCytoplasmHEK 293 cellsBiologyTRPC1Molecular biologyCell biologyChemistryBiochemistryIon channelUbiquitinSodiumReceptorGene

Abstract

fetched live from OpenAlex

The epithelial Na+ channel (ENaC) regulates Na+ absorption in epithelial tissues including the lung, colon and sweat gland, and in the distal nephrons of the kidney. When Na+-channel function is disrupted, salt and water homoeostasis is affected. The cytoplasmic regions of the Na+-channel subunits provide binding sites for other proteins to interact with and potentially regulate Na+-channel activity. Previously we showed that a proline-rich region of the α subunit of the Na+ channel bound to a protein of 116 kDa from human lung cells. Here we report the identification of this protein as human Nedd4, a ubiquitin-protein ligase that binds to the Na+-channel subunits via its WW domains. Further, we show that WW domains 2, 3 and 4 of human Nedd4 bind to the α, β and γ Na+-channel subunits but not to a mutated β subunit. In addition, when co-expressed in Xenopus oocytes, human Nedd4 down-regulates Na+-channel activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.022
GPT teacher head0.269
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2000
Admission routes1
Has abstractyes

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