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Record W2046717118 · doi:10.1021/bi992620m

Cystic Fibrosis Transmembrane Conductance Regulator Has an Altered Structure When Its Maturation Is Inhibited<sup>1</sup>

2000· article· en· W2046717118 on OpenAlexaff
Eva Y. Chen, M. Claire Bartlett, David M. Clarke

Bibliographic record

VenueBiochemistry · 2000
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsMedical Council of CanadaUniversity of Toronto
FundersNational Cancer Institute
KeywordsCystic fibrosis transmembrane conductance regulatorChloride channelCystic fibrosisChemistryTransmembrane proteinTrypsinRegulatorCell biologyProteasomeCellBiochemistryBiophysicsMolecular biologyBiologyInternal medicineEnzymeReceptorMedicine

Abstract

fetched live from OpenAlex

Inefficient maturation and trafficking to the cell surface of the cystic fibrosis transmembrane conductance regulator (CFTR) is the primary cause of cystic fibrosis. CFTR protein that fails to mature accumulates as an immature core-glycosylated protein and is rapidly degraded. To determine how the structures of mature and immature CFTR are different, we compared the properties of CFTR that had been expressed in the presence or absence of the proteasome inhibitor, MG-132 (carbobenzoxy-L-leucyl-L-leucyl-L-leucinal). Transient expression of wild-type CFTR in the presence of submicromolar concentrations of MG-132 blocks maturation of the protein. We found that expression of CFTR in the presence of MG-132 trapped the protein in a trypsin-sensitive conformation. In addition, the structure of the carboxyl-terminus of immature and mature CFTR differed as histidine-tagged mature CFTR was preferentially recovered by metal-chelate chromatography. No chloride channel activity was detected when membranes containing immature CFTR were fused with planar lipid bilayers. These results show that expression of CFTR in the presence of MG-132 traps the protein in an altered conformation that may be inactive.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0080.000

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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations29
Published2000
Admission routes1
Has abstractyes

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