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Record W4403707226 · doi:10.1016/j.bneo.2024.100052

Pharmacological targeting of CBX7 alters the epigenetic landscape and induces differentiation of leukemic cells

2024· article· en· W4403707226 on OpenAlexafffund
Anne P. de Groot, Chelsea R. Wilson, Ellen Weersing, Jacobine S Pouw, Albertina Dethmers-Ausema, Huong Nguyen, E. C. Chen, Alok Shaurya, Linda Smit, Fraser Hof, Gerald de Haan

Bibliographic record

VenueBlood Neoplasia · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaUniversitair Medisch Centrum GroningenKWF KankerbestrijdingAstraZeneca
KeywordsEpigeneticsBiologyCell biologyDNA methylationCancer researchEpigenesisGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Self-renewal of leukemic cells results in the accumulation of dysfunctional blood cells and suppression of normal hematopoiesis. The polycomb group protein chromobox 7 (CBX7) is an epigenetic regulator that represses genes required for differentiation and cell cycle arrest and thereby promotes self-renewal. Because leukemic cells are highly self-renewing, we tested whether pharmacological targeting of CBX7 would reduce self-renewal and induce differentiation of human leukemic cells. We found that existing and newly developed CBX7 inhibitors derepress the epigenome, resulting in reduced ubiquitination of histone 2A and reduced binding of CBX7 to its target genes. This led to reduced cell growth, increased differentiation of leukemic cells in vitro, and delayed engraftment of primary leukemic cells in xenotransplant models. Therefore, pharmacological targeting of CBX7 constitutes a novel therapeutic approach for leukemia.

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 score0.011
Threshold uncertainty score0.257

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 head0.009
GPT teacher head0.244
Teacher spread0.236 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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