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Record W1967890376 · doi:10.1371/journal.pone.0061858

Inhibition of BCR/ABL Protein Expression by miR-203 Sensitizes for Imatinib Mesylate

2013· article· en· W1967890376 on OpenAlexaff
Yajuan Li, Ying Yuan, Kun Tao, Xin Wang, Qing Xiao, Zhenglan Huang, Liang Zhong, Weixi Cao, Jianping Wen, Wenli Feng

Bibliographic record

VenuePLoS ONE · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsMcMaster University
FundersChongqing Medical UniversityUniversity of Chicago
KeywordsImatinib mesylateImatinibbreakpoint cluster regionRNA interferenceABLmicroRNACancer researchK562 cellsPhiladelphia chromosomeChemistryBiologyCell biologyCell cultureRNASignal transductionGeneTyrosine kinaseGeneticsChromosomal translocationBiochemistryMyeloid leukemia

Abstract

fetched live from OpenAlex

Selective inhibition of BCR/ABL expression by RNA interference has been demonstrated as an effective strategy in CML treatment and a reversal to imatinib resistance. microRNAs (miRNAs) are small regulatory RNAs involved in post-transcriptional gene regulation. miR-203 is supposed to directly regulate ABL and BCR/ABL expression, however, the role of miR-203 in imatinib-resistant cells is not clear. Here, we report that overexpression of miR-203 in BaF3-BCR/ABL cells with T315I mutant inhibited cell growth and colony formation ability. Furthermore, miR-203 increased sensitivity to imatinib in BaF3-BCR/ABL(T315I) cells, thereby antagonizing the main mechanism of resistance to imatinib.

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 score0.024
Threshold uncertainty score0.527

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 head0.029
GPT teacher head0.244
Teacher spread0.215 · 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

Citations67
Published2013
Admission routes1
Has abstractyes

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