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Satellite cell activation and populations on single muscle‐fiber cultures from adult zebrafish ( <i>Danio rerio</i> ) (539.8)

2014· article· en· W1921065989 on OpenAlexaffabout
Helia Zhang, Judy E. Anderson

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDanioZebrafishCell biologyHepatocyte growth factorBiologyChemistryReceptorBiochemistry

Abstract

fetched live from OpenAlex

Satellite cell activation and populations on single muscle‐fiber cultures from adult zebrafish (Danio rerio) Helia Zhang and Judy E Anderson, Department of Biological Sciences, University of Manitoba, Canada Satellite‐stem cells in adult mouse skeletal muscle are activated for growth or regeneration by signaling via nitric oxide, hepatocyte growth factor (HGF) and the c‐met receptor. Here, the regulation of satellite cell activation in adult zebrafish was assessed using the model system of isolated fibers cultured at 27°C and 21°C. Satellite cells were identified c‐met+ staining; activation was determined by uptake of bromodeoxyuridine. Satellite cells were maximally activated by the NO‐donor isosorbide dinitrate (ISDN, 1mM) or HGF (10 ng/mL); levels lower and higher respectively, than in mouse fibers. HGF‐induced activation was blocked by anti‐c‐met antibody, and reduced at 21°C. Cyclical stretch (3 hr at 4 cycles per min) increased activation; NOS inhibition and culture at 21°C reduced stretch activation. Stretching rapidly increased the number of c‐met+ cells/fiber (by 3 hr). Satellite cell activation signaling on zebrafish fibers, in particular temperature‐dependent responses to HGF and stretch, give new insights into the influences of ectothermy in regulating muscle growth and suggest the single‐fiber model system can be used to explore the basis of fiber hyperplasia in teleosts. Grant Funding Source : Supported by Natural Sciences and Engineering Research Council

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 score0.004
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.226
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 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

Citations0
Published2014
Admission routes2
Has abstractyes

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