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Record W3216688282 · doi:10.52586/5005

Mechanical ventilation regulated the differentiation and proliferation of diaphragm satellite cells

2021· article· en· W3216688282 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Bioscience-Landmark · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMyogeninMyoDDiaphragm (acoustics)SatelliteCell biologyCell growthCell sortingChemistryMolecular biologyMyogenesisBiologyAndrologyFlow cytometryMyocyteMedicineBiochemistryPhysics

Abstract

fetched live from OpenAlex

Aim: This study aimed to determine the effect of mechanical ventilation (MV) on the differentiation and proliferation of diaphragm satellite cells. Methods: Diaphragm satellite cells were isolated from C57 mice receiving 6 h of MV with optimized magnetic-activated cell sorting (MACS) approach. The cells were stained with BrdU or antibody for differentiation marker MYH3. The expression of MyoD and myogenin was detected by real-time PCR. Results: Diaphragm satellite cells were successfully isolated from mice by using MACS with a set of optimized parameters. About 1.5 × 105 cells could be harvested from a diaphragm. Upon MV, the proliferation rate of diaphragm satellite cells was decreased from 88.74% to 81.92%, while the differentiation rate was increased from 17.94% to 27.58%, compared to controls. Moreover, the expression of MyoD and myogenin were significantly upregulated upon MV. Conclusions: We established a practical method to purify diaphragm satellite cells, and demonstrated that MV regulated the differentiation and proliferation of diaphragm satellite cells.

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.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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