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Record W2053880711 · doi:10.1016/j.celrep.2013.06.022

Polyester Modification of the Mammalian TRPM8 Channel Protein: Implications for Structure and Function

2013· article· en· W2053880711 on OpenAlexaff
Chike Cao, Yevgen Yudin, Yann Bikard, Wei Chen, Tong Liu, Hong Li, Dieter Jendrossek, Alejandro Cohen, Evgeny V. Pavlov, Tibor Rohács, Eleonora Zakharian

Bibliographic record

VenueCell Reports · 2013
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsDalhousie University
FundersNational Institute of General Medical SciencesNational Institutes of HealthNational Institute of Neurological Disorders and StrokeAmerican Heart Association
KeywordsTRPM8ChemistryChemical modificationMentholLinkerIon channelBiochemistryMutagenesisBiophysicsFunction (biology)Transient receptor potential channelSerineEnzymeOrganic chemistryCell biologyBiologyMutantTRPV1Receptor

Abstract

fetched live from OpenAlex

The TRPM8 ion channel is expressed in sensory neurons and is responsible for sensing environmental cues, such as cold temperatures and chemical compounds, including menthol and icilin. The channel functional activity is regulated by various physical and chemical factors and is likely to be preconditioned by its molecular composition. Our studies indicate that the TRPM8 channel forms a structural-functional complex with the polyester poly-(R)-3-hydroxybutyrate (PHB). We identified by mass spectrometry a number of PHB-modified peptides in the N terminus of the TRPM8 protein and in its extracellular S3-S4 linker. Removal of PHB by enzymatic hydrolysis and site-directed mutagenesis of both the serine residues that serve as covalent anchors for PHB and adjacent hydrophobic residues that interact with the methyl groups of the polymer resulted in significant inhibition of TRPM8 channel activity. We conclude that the TRPM8 channel undergoes posttranslational modification by PHB and that this modification is required for its normal function.

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 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 score0.017
Threshold uncertainty score0.180

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)0.0000.000

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 head0.028
GPT teacher head0.241
Teacher spread0.213 · 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.

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

Citations47
Published2013
Admission routes1
Has abstractyes

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