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Record W2952105231 · doi:10.1038/s41467-019-10523-3

Small-molecule targeting of MUSASHI RNA-binding activity in acute myeloid leukemia

2019· article· en· W2952105231 on OpenAlexaff
Gerard Minuesa, Steven K. Albanese, Wei Xie, Yaniv Kazansky, Daniel Worroll, Arthur Chow, Alexandra Schurer, Sun‐Mi Park, Christina Z. Rotsides, James Taggart, Andrea Rizzi, Levi N. Naden, Timothy Chou, Saroj Gourkanti, Daniel Cappel, Maria C. Passarelli, Lauren Fairchild, Carolina Adura, J. Fraser Glickman, Jessica Schulman, Christopher Famulare, Minal Patel, Joseph K. Eibl, Gregory M. Ross, Shibani Bhattacharya, Derek S. Tan, Christina S. Leslie, Thijs Beuming, Dinshaw J. Patel, Yehuda Goldgur, John D. Chodera, Michael G. Kharas

Bibliographic record

VenueNature Communications · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsNOSM University
FundersOffice of Research Infrastructure Programs, National Institutes of HealthNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesMerck KGaANational Heart, Lung, and Blood InstituteStarr FoundationMemorial Sloan-Kettering Cancer CenterCommonwealth FoundationAlex's Lemonade Stand Foundation for Childhood CancerNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human ServicesNational Center for Research ResourcesWeill Cornell Medical CollegeU.S. Department of Energy
KeywordsMyeloid leukemiaSmall hairpin RNARNA-binding proteinLeukemiaRNACancer researchBiologySmall moleculeMyeloidGeneMolecular biologyChemistryGenetics

Abstract

fetched live from OpenAlex

The MUSASHI (MSI) family of RNA binding proteins (MSI1 and MSI2) contribute to a wide spectrum of cancers including acute myeloid leukemia. We find that the small molecule Ro 08-2750 (Ro) binds directly and selectively to MSI2 and competes for its RNA binding in biochemical assays. Ro treatment in mouse and human myeloid leukemia cells results in an increase in differentiation and apoptosis, inhibition of known MSI-targets, and a shared global gene expression signature similar to shRNA depletion of MSI2. Ro demonstrates in vivo inhibition of c-MYC and reduces disease burden in a murine AML leukemia model. Thus, we identify a small molecule that targets MSI's oncogenic activity. Our study provides a framework for targeting RNA binding proteins in cancer.

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 score0.012
Threshold uncertainty score0.394

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 science0.0010.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.302
Teacher spread0.285 · 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

Citations146
Published2019
Admission routes1
Has abstractyes

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