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Record W1978411151 · doi:10.1101/gad.199976.112

The INO80 chromatin remodeling complex prevents polyploidy and maintains normal chromatin structure at centromeres

2012· article· en· W1978411151 on OpenAlexafffund
A. Chambers, Georgina Ormerod, Samuel C. Durley, Tina L. Sing, Grant W. Brown, Nicholas A. Kent, Jessica A. Downs

Bibliographic record

VenueGenes & Development · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsUniversity of Toronto
FundersBiotechnology and Biological Sciences Research CouncilCanadian Institutes of Health ResearchCancer Research UK
KeywordsCentromereBiologyChromatinChromosome segregationNucleosomeChromatin remodelingGeneticsCell biologyChromosomeReplication timingDNAGene

Abstract

fetched live from OpenAlex

The INO80 chromatin remodeling complex functions in transcriptional regulation, DNA repair, and replication. Here we uncover a novel role for INO80 in regulating chromosome segregation. First, we show that the conserved Ies6 subunit is critical for INO80 function in vivo. Strikingly, we found that loss of either Ies6 or the Ino80 catalytic subunit results in rapid increase in ploidy. One route to polyploidy is through chromosome missegregation due to aberrant centromere structure, and we found that loss of either Ies6 or Ino80 leads to defective chromosome segregation. Importantly, we show that chromatin structure flanking centromeres is altered in cells lacking these subunits and that these alterations occur not in the Cse4-containing centromeric nucleosome, but in pericentric chromatin. We provide evidence that these effects are mediated through misincorporation of H2A.Z, and these findings indicate that H2A.Z-containing pericentric chromatin, as in higher eukaryotes with regional centromeres, is important for centromere function in budding yeast. These data reveal an important additional mechanism by which INO80 maintains genome stability.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.862

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 studies0.0010.000
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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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 designObservational
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

Citations72
Published2012
Admission routes2
Has abstractyes

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