MétaCan
Menu
Back to cohort
Record W2078235041 · doi:10.1074/jbc.m513235200

PhLP3 Modulates CCT-mediated Actin and Tubulin Folding via Ternary Complexes with Substrates

2006· article· en· W2078235041 on OpenAlexaff
Peter C. Stirling, Jorge Cuéllar, Gabriel Alfaro, Fatima El Khadali, Christopher Beh, José Valpuesta, Ronald Melki, Michel R. Leroux

Bibliographic record

VenueJournal of Biological Chemistry · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTubulinTernary operationFolding (DSP implementation)BiophysicsChemistryActinCell biologyTernary complexMicrotubuleBiochemistryBiologyComputer scienceEngineeringProgramming language

Abstract

fetched live from OpenAlex

Many ATP-dependent molecular chaperones, including Hsp70, Hsp90, and the chaperonins GroEL/Hsp60, require cofactor proteins to regulate their ATPase activities and thus folding functions in vivo. One conspicuous exception has been the eukaryotic chaperonin CCT, for which no regulator of its ATPase activity, other than non-native substrate proteins, is known. We identify the evolutionarily conserved PhLP3 (phosducin-like protein 3) as a modulator of CCT function in vitro and in vivo. PhLP3 binds CCT, spanning the cylindrical chaperonin cavity and contacting at least two subunits. When present in a ternary complex with CCT and an actin or tubulin substrate, PhLP3 significantly diminishes the chaperonin ATPase activity, and accordingly, excess PhLP3 perturbs actin or tubulin folding in vitro. Most interestingly, however, the Saccharomyces cerevisiae PhLP3 homologue is required for proper actin and tubulin function. This cellular role of PhLP3 is most apparent in a strain that also lacks prefoldin, a chaperone that facilitates CCT-mediated actin and tubulin folding. We propose that the antagonistic actions of PhLP3 and prefoldin serve to modulate CCT activity and play a key role in establishing a functional cytoskeleton in vivo.

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 score0.504

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 head0.017
GPT teacher head0.262
Teacher spread0.246 · 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

Citations82
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicHeat shock proteins researchFrench-language works237,207