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Record W2128683999 · doi:10.1002/mus.20000

Ste20‐like kinase SLK displays myofiber type specificity and is involved in C2C12 myoblast differentiation

2004· article· en· W2128683999 on OpenAlexaff
Christopher J. Storbeck, Kate Daniel, John A. Lunde, Anthony Scimè, Atsushi Asakura, Bernard J. Jasmin, Robert G. Korneluk, Luc A. Sabourin

Bibliographic record

VenueMuscle & Nerve · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsC2C12MyocyteMYF5Cell biologyMyogenesisCellular differentiationBiologyMyoDGeneticsGene

Abstract

fetched live from OpenAlex

Cell growth and terminal differentiation are controlled by complex signaling cascades that regulate the expression of specific subsets of genes implicated in cell fate and morphogenic processes. We have recently cloned and characterized a novel Ste20-like kinase termed SLK that is associated with adhesion structures during cell adhesion and spreading. However, the specific function of SLK is poorly understood. To gain further insight into the role of SLK, we have characterized its activity, expression, and distribution in skeletal muscle and during the in vitro differentiation of C2C12 myoblasts. Although SLK is expressed ubiquitously in adult tissues, our results show that it is predominantly expressed in muscle masses during development. Furthermore, SLK activity is upregulated during the differentiation of C2C12 myoblasts. In addition, we have found that SLK localizes presynaptically at neuromuscular junctions and that it is preferentially expressed in types I and IIA myofibers at major myofibrillar striations. Supporting a role in myoblast function and differentiation, SLK expression is induced in Myf5- and Pax7-positive activated satellite cells during regeneration and expression of dominant negative SLK in C2C12 cultures impairs myoblast fusion, suggesting a role for SLK in muscle cell differentiation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.665

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Citations22
Published2004
Admission routes1
Has abstractyes

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