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D230025D16Rik: A Novel Regulator of Muscle Cell Differentiation

2022· article· en· W4225373035 on OpenAlexafffund
Tomer Jordi Chaffer, Alaa Moamer, Jean‐Philippe Leduc‐Gaudet, Felipe E. Broering, Dominique Mayaki, Laurent Huck, Marco Sandri, Gilles Gouspillou, Sabah N. A. Hussain

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversité du Québec à MontréalMcGill University Health CentreMcGill University
FundersCanadian Institutes of Health Research
KeywordsRegulatorCell biologyChemistryBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Rationale Loss of skeletal muscle mass and function is a common clinical feature and poor prognostic indicator in various diseases. A promising therapeutic approach of regenerative medicine for repair of skeletal muscle is through the delivery of cellular therapies targeting regulators of muscle regeneration (myogenesis). However, not all the proteins involved in this process have been identified. To address the gap in knowledge of proteins involved in myogenesis, we recently identified a novel gene, D230025D16Rik, which has never been characterized within the context of skeletal muscle growth and repair. Methods The role of D230025D16Rik in a C2C12 murine model of myoblast differentiation was assessed by using an siRNA loss‐of‐function approach. Differentiation of C2C12 myoblasts into myotubes in cells with intact D230025D16Rik and those with D230025D16Rik knockdown (KD) was determined by various experimental techniques, such as RT‐qPCR, microarray, immunofluorescence staining, and immunoblotting. Results D230025D16Rik has a mainly nuclear localization in myoblasts, whereas in myotubes, D230025D16Rik has both a nuclear and cytosolic localization. D230025D16Rik expression level is induced at the onset of differentiation (i.e., Day 1) and steadily increases as myoblasts fuse into myotubes. In response to D230025D16Rik KD, the expression of transcription factors MyoD1 and Myogenin and muscle‐specific transcripts Myosin Heavy Chain ( MyHC ) and Muscle Creatine Kinase ( MCK ) were upregulated such that a significant acceleration of myogenesis was observed. This observation was further confirmed by an analysis of transcriptomes of control and D230025D16Rik KD myoblasts that revealed an upregulation of myogenesis‐related transcripts in cells with D230025D16Rik KD. Phenotypically, we observe hypertrophic myotube formation at days 0 and 1 in response to D230025D16Rik KD, as indicated by immunofluorescence staining for MyHC. Finally, the presence of nuclear aggregates on D230025D16Rik KD myotubes indicates that D230025D16Rik is essential for proper myotube formation. Conclusion Altogether, these findings highlight, for the first time, the potential regulatory functions of D230025D16Rik during myogenesis.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.211
Teacher spread0.203 · 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
Published2022
Admission routes2
Has abstractyes

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