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Record W2123197724 · doi:10.1096/fj.10-171959

Fine‐tuning the stimulation of MLL1 methyltransferase activity by a histone H3‐based peptide mimetic

2010· article· en· W2123197724 on OpenAlexafffund
Vanja Avdic, Pamela Zhang, Sylvain Lanouette, Anastassia Voronova, Ilona S. Skerjanc, J.-F. Couture

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsHistone H3Histone methyltransferaseMethyltransferaseMethylationAcetylationMoietyHistone methylationHistoneChemistryPeptideEpigeneticsBiochemistryCell biologyBiologyStereochemistryDNA methylationGene expression

Abstract

fetched live from OpenAlex

The SETI family of methyltransferases carries out the bulk of histone H3 Lys‐4 methylation in vivo. One of the common features of this family is the regulation of their methyltransferase activity by a tripartite complex composed of WDR5, RbBP5, and Ash2L. To selectively probe the role of the SET1 family of methyltransferases, we have developed a library of histone H3 peptide mimetics and report herein the characterization of an Nα acetylated form of histone H3 peptide (NαH3). Binding and inhibition studies reveal that the addition of an acetyl moiety to the N terminus of histone H3 significantly enhances its binding to WDR5 and prevents the stimulation of MLL1 methyltransferase activity by the WDR5‐RbBP5‐Ash2L complex. The crystal structure of NαH3 in complex with WDR5 reveals that a high‐affinity hydrophobic pocket accommodates the binding of the acetyl moiety. These results provide the structural basis to control WDR5‐RbBP5‐Ash2L‐MLL1 activity and a tool to manipulate stem cell differentiation programs.—Avdic, V., Zhang, P., Lanouette, S., Voronova, A., Skerjanc, I., Couture, J.‐F. Fine‐tuning the stimulation of MLL1 methyltransferase activity by a histone H3‐based peptide mimetic. FASEB J. 25, 960–967 (2011). www.fasebj.org

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)0.001
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 score0.042
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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

Citations16
Published2010
Admission routes2
Has abstractyes

Explore more

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