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Record W7132931716

Trafficking and cell surface stability of the epithelial Na+ channel expressed in epithelial MDCK cells

2003· dissertation· W7132931716 on OpenAlexaff
David Hanwell

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsBibliographical Society of Canada
Fundersnot available
KeywordsEpithelial sodium channelEndoglycosidaseIntracellularEndoglycosidase HProtein subunitEpitheliumCellEpithelial polarity
DOInot available

Abstract

fetched live from OpenAlex

The apically located epithelial Na+ channel (αβγENaC) plays a key role in the regulation of salt and fluid transport in the kidney and other epithelia. We generated epithelial Madin-Darby canine kidney (MDCK) cells stably expressing αβγENaC, where each subunit is differentially epitope tagged. ENaC expression was verified by immunoblotting and patch clamp analysis showed the tagged channel is functional. Moreover, we demonstrated apical membrane localization of ENaC in these cells. The glycosylation pattern of the intracellular pool of ENaC revealed sensitivity to endoglycosidase H. The cell surface pool of ENaC was also core glycosylated and lacked detectable endoglycosidase H-resistant channels. Extraction in Triton X-100 demonstrated that both intracellular and cell surface pools of ENaC are largely detergent-soluble. Moreover, flotation assays showed that both intracellular and cell surface pools of this channel are not associated with rafts. The surface pool of ENaC has a short half-life (t1/2 ∼ 1hr) in these cells.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.246
Teacher spread0.235 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2003
Admission routes1
Has abstractyes

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