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Record W3030320535 · doi:10.1101/591164

A Chemical Probe of CARM1 Alters Epigenetic Plasticity against Breast Cancer Cell Invasion

2019· preprint· en· W3030320535 on OpenAlexafffund
Xiao-Chuan Cai, Tuo Zhang, Eui‐Jun Kim, Ming Jiang, Ke Wang, Junyi Wang, Shi Chen, Nawei Zhang, Hong Wu, Fengling Li, Carlo C. dela Seña, Hong Zheng, Victor Vivcharuk, Xiang Niu, Weihong Zheng, Jonghan P Lee, Yuling Chen, Dalia Barsyte, Magda Szewczyk, Taraneh Hajian, Glorymar Ibáñez, Aiping Dong, Ludmila Dombrovsky, Zhenyu Zhang, Haiteng Deng, Jinrong Min, C.H. Arrowsmith, Linas Mažutis, Lei Shi, Masoud Vedadi, Peter J. Brown, Jenny Xiang, Li‐Xuan Qin, Wei Xu, Minkui Luo

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsPrincess Margaret Cancer CentreStructural Genomics ConsortiumUniversity of Toronto
FundersBiological and Environmental ResearchCanadian Institutes of Health ResearchNovartis PharmaNational Institutes of HealthMinistero dello Sviluppo EconomicoOntario Ministry of Economic Development and InnovationWestern Economic Diversification CanadaWellcome TrustNational Cancer InstituteNational Research Council CanadaBeijing Municipal Administration of HospitalsEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAFundação de Amparo à Pesquisa do Estado de São PauloGenome CanadaSusan G. Komen for the CurePfizerUniversity of SaskatchewanNatural Sciences and Engineering Research Council of CanadaCanadian Light SourceMemorial Sloan-Kettering Cancer CenterArgonne National LaboratoryU.S. Department of Energy
KeywordsEpigeneticsBiologyCancer cellCellCell biologyCarcinogenesisMetastasisCancer researchCancerBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Abstract CARM1 is a cancer-relevant protein arginine methyltransferase that regulates many aspects of transcription. Its pharmacological inhibition is a promising anti-cancer strategy. Here SKI-73 is presented as a CARM1 chemical probe with pro-drug properties. SKI-73 can rapidly penetrate cell membranes and then be processed into active inhibitors, which are retained intracellularly with 10-fold enrichment for days. These compounds were characterized for their potency, selectivity, modes of action, and on-target engagement. SKI-73 recapitulates the effect of CARM1 knockout against breast cancer cell invasion. Single-cell RNA-seq analysis revealed that the SKI-73 -associated reduction of invasiveness act via altering epigenetic plasticity and suppressing the invasion-prone subpopulation. Interestingly, SKI-73 and CARM1 knockout alter the epigenetic plasticity with remarkable difference, arguing distinct modes of action between the small-molecule and genetic perturbation. We therefore discovered a CARM1-addiction mechanism of cancer metastasis and developed a chemical probe to target this process.

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 categoriesMeta-epidemiology (narrow)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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.

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

Citations3
Published2019
Admission routes2
Has abstractyes

Explore more

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