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Record W2062427797 · doi:10.1128/mcb.01009-10

miR-206 and -486 Induce Myoblast Differentiation by Downregulating Pax7

2010· article· en· W2062427797 on OpenAlexfundno aff
Bijan K. Dey, Jeffrey Gagan, Anindya Dutta

Bibliographic record

VenueMolecular and Cellular Biology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsnot available
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesOhio State UniversityNational Institute of General Medical SciencesHeart and Stroke Foundation of Canada
KeywordsMyoDBiologyMyocyteCell biologyCellular differentiationMyoD ProteinmicroRNAMyogenesisMyogenic regulatory factorsMyogeninTranscription factorPITX2Molecular biologyGeneticsGeneHomeobox

Abstract

fetched live from OpenAlex

The Pax7 transcription factor is required for muscle satellite cell biogenesis and specification of the myogenic precursor lineage. Pax7 is expressed in proliferating myoblasts but is rapidly downregulated during differentiation. Here we report that miR-206 and -486 are induced during myoblast differentiation and downregulate Pax7 by directly targeting its 3' untranslated region (UTR). Expression of either of these microRNAs in myoblasts accelerates differentiation, whereas inhibition of these microRNAs causes persistence of Pax7 protein and delays differentiation. A microRNA-resistant form of Pax7 is sufficient to inhibit differentiation. Since both these microRNAs are induced by MyoD and since Pax7 promotes the expression of Id2, an inhibitor of MyoD, our results revealed a bistable switch that exists either in a Pax7-driven myoblast state or a MyoD-driven myotube state.

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 score0.004

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)0.0010.001

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 head0.003
GPT teacher head0.201
Teacher spread0.198 · 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

Citations421
Published2010
Admission routes1
Has abstractyes

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