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Record W2526179904 · doi:10.33915/etd.3429

Characterization of M-cadherin's Role in Regulating Apoptosis and Myogenic Differentiation of Myoblasts by Interacting with Key Components of Canonical Wnt Signaling

2011· dissertation· en· W2526179904 on OpenAlexaff
Yan Wang

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsCanadian Society for Exercise Physiology
FundersNational Institutes of HealthWest Virginia University
KeywordsC2C12GSK-3Cell biologyWnt signaling pathwayPI3K/AKT/mTOR pathwayBiologyProtein kinase BBeta-cateninSignal transductionGSK3BMyocyteApoptosisCadherinRNA interferenceCellular differentiationMyogenesisChemistryCellBiochemistryRNA

Abstract

fetched live from OpenAlex

Activation, proliferation, and differentiation of satellite cells are the basic means for adult muscle regeneration. Apoptosis is concurrent to differentiation of satellite cells and dysregulated apoptosis contributes to the occurrence and progression of certain muscular dystrophies. This study investigated the role of M-cadherin-mediated signaling in regulating apoptosis versus survival of myoblasts during the process of myogenic differentiation. Inhibition of M-cadherin expression by RNAi (RNA interference) in confluent C2C12 myoblasts sensitized the cells to mitochondria-associated intrinsic apoptosis induced by either cell confluence or serum starvation. Manipulation of M-cadherin signaling regulated the Glycogen Synthase Kinase-3beta (GSK-3beta) activity via phosphoinositide-3 kinase (PI3K)/Akt pathway. Overexpession of wild-type (WT) GSK-3beta in confluent C2C12 myoblasts sensitized the cells to apoptotic insults, while GSK-3beta inhibition attenuated apoptosis and partially rescued the myogenic differentiation impaired by M-cadherin RNAi in both C2C12 myoblasts and Syndecan-4-positive primary myoblasts. These data suggest that M-cadherin-mediated signaling protects myoblasts against mitochondria-associated intrinsic apoptosis during myogenic differentiation via PI3K/Akt/GSK-3beta pathway. We further examined the role of M-cadherin in regulating the N-terminal phosphorylation status of beta-catenin and the effect of this regulation on myoblast fate specification. M-cadherin RNAi enhanced the GSK- 3beta-dependent phosphorylation of beta-catenin at N-terminus which can be reversed by GSK-3beta inhibition via LiCl treatment. N-terminus unphosphorylated beta-catenin was more responsive to LiCl treatment. In addition, M-cadherin RNAi led to an increase in TCF/LEF transcription activity but significantly abrogated the myogenic differentiation induced by LiCl or Wnt-3a treatment. beta-catenin RNAi also blocked the myogenic induction by LiCl or Wnt-3a. Although forced expression of a phosphorylation-resistant mutated beta-catenin (S33Y-beta-catenin) failed to increase myogenic differentiation, it partially rescued the impaired myogenic differentiation and attenuated the apoptosis caused by M-cadherin RNAi. These data indicate that M-cadherin-mediated signaling plays a positive role in maintaining a cytosolic pool of signaling-active N-terminal unphosphorylated beta-catenin, which is critical for the TCF/LEF-independent myogenesis-promoting effect of canonical Wnt signaling. Our findings in this research identify a novel role of M-cadherin in regulating myoblasts survival and differentiation and provide a potentially novel molecular mechanism for the regulation of adult muscle regeneration.

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 score0.002

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)0.0010.000

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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
Published2011
Admission routes1
Has abstractyes

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