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Record W4408230669 · doi:10.1101/2025.03.03.641182

A nuclear TRiC/CCT chaperonin assembles meiotic HORMAD proteins into chromosome axes competent for crossing over

2025· preprint· en· W4408230669 on OpenAlexaff
Monique Zetka, Steven J.M. Jones, Nicola Silva

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsChaperoninMeiosisChromosomeGeneticsCell biologyChromosome segregationBiologyGene

Abstract

fetched live from OpenAlex

Abstract The meiotic chromosome axis organizes chromatin and sets the stage for homolog pairing and recombination. M eiotic HORMA d omain proteins (mHORMADs) are conserved axis components that conformationally transform during target binding. In C. elegans, four functionally distinct mHORMADs directly interact, but how binding between them is restricted to axis assembly is unknown. Using a mutation in the mHORMADs that delays axis assembly, we isolated a suppressor mutation in a TRiC/CCT chaperonin subunit that restored mHORMAD localization. CCT-4 associates with meiotic chromatin and forms in vivo complexes with mHORMADs, while germline disruption of TRiC results in axis defects, indicating a nuclear function for TRiC alongside meiotic chromosomes. We propose that chromosome-tethered TRiC folds mHORMADs into a conformationally active local population required for axis morphogenesis. More broadly, our results support the model that spatially-restricted folding by TRiC/CCT is a mechanism of controlling the assembly of multimeric complexes that function in tightly co-ordinated events.

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 head0.237
Teacher spread0.226 · 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
Published2025
Admission routes1
Has abstractyes

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