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Record W4407573143 · doi:10.1139/bcb-2024-0264

Doxorubicin, a DNA intercalator, inhibits transcription elongation

2025· article· en· W4407573143 on OpenAlexafffundvenue
Kari Green, Dhanvi Prajapati, A. Duaqui, Mahboobeh Norouzi, Hedieh Sattarifard, Ahmed Ashraf, Ethan Wu, Athanasios Zovoilis, Ted M. Lakowski, James Davie

Bibliographic record

VenueBiochemistry and Cell Biology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsCancerCare ManitobaResearch Institute in Oncology and HematologyUniversity of Manitoba
FundersCanadian Institutes of Health ResearchCancerCare Manitoba Foundation
KeywordsH3K4me3DoxorubicinPromoterHistone H3HistoneNucleosomeChromatinRNA polymerase IIEnhancerMolecular biologyBiologyChromatin immunoprecipitationDNAChemistryCell biologyBiochemistryTranscription factorGene expressionGeneGenetics

Abstract

fetched live from OpenAlex

Doxorubicin is a chemotherapeutic drug for cancer that intercalates into nucleosome-free regions at promoters. Doxorubicin was reported to result in loss of histone H3 trimethylated lysine 4 (H3K4me3). To further explore doxorubicin's mechanism of action, we determined the genomic location of the binding sites of doxorubicin in leukemic cells. The effect of doxorubicin intercalation into the chromatin of leukemic cells on histone modifications was also determined. We show that doxorubicin binding sites were present in the nucleosome-free regions associated with regulatory regions (promoters, enhancers, and super-enhancers) and in the gene body (introns). Doxorubicin treatment did not alter the levels of H3K4me3 and many other histone modifications but significantly lowered H2B ubiquitinated at lysine 120 (H2BK120ub), an elongation-dependent modification. Lastly, we demonstrate that doxorubicin results in the degradation of the largest subunit (RPB1) of RNA polymerase II.

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 score0.005

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 head0.004
GPT teacher head0.216
Teacher spread0.212 · 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

Citations9
Published2025
Admission routes3
Has abstractyes

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