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Record W1151131272 · doi:10.1042/bcj20160200

Engineered Cx26 variants established functional heterotypic Cx26/Cx43 and Cx26/Cx40 gap junction channels

2016· article· en· W1151131272 on OpenAlexaff
Levent B. Karademir, Hiroshi Aoyama, Benny Yue, Honghong Chen, Donglin Bai

Bibliographic record

VenueBiochemical Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsWestern University
Fundersnot available
KeywordsDocking (animal)Homology modelingConnexinMacromolecular dockingMutantChemistryCell biologyBiologyProtein structureBiophysicsGap junctionBiochemistryGeneIntracellularEnzyme

Abstract

fetched live from OpenAlex

Gap junction (GJ) channels mediate direct intercellular communication and are composed of two docked hemichannels (connexin oligomers). It is well documented that the docking and formation of GJs are possible only between compatible hemichannels (or connexins). The mechanisms of heterotypic docking compatibility are not fully clear. We aligned the protein sequences of docking-compatible and -incompatible connexins with that of connexin26 (Cx26). We found that two docking hydrogen bond (HB)-forming residues on the second extracellular domain (E2) of Cx26 and their equivalent residues are well conserved within docking-compatible connexins, but different between docking-incompatible connexins. Replacing one or both of these residues of Cx26 into the corresponding residues in the docking incompatible connexins (K168V, N176H or K168V-N176H) increased the formation of morphological and functional heterotypic GJs with connexin43 (Cx43) or connexin40 (Cx40), indicating that these two residues are important for docking incompatibility between Cx26 and these connexins. Our homology structure models predict that both HBs and hydrophobic interactions at the E2 docking interface are important docking mechanisms in heterotypic Cx26 K168V-N176H/Cx43 GJs and probably other docking compatible connexins. Revealing the key residues and mechanisms of heterotypic docking compatibility will assist us in understanding why these putative docking residues are hotspots of disease-linked mutants.

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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.217
Teacher spread0.203 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

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