Различия в экспрессии генов титина и небулина в скелетных мышцах крыс, хронически алкоголизированных разными методами
Bibliographic record
Abstract
This work studied the changes in the levels of the main proteins of the calpain system (μ-calpain, Ca^(2+)-dependent protease, and fragments of its autolysis, inhibitor calpastatin) and μ-calpain substrates (giant proteins of the sarcomere cytoskeleton, titin and nebulin) in skeletal muscle (m. gastrocnemius, m. soleus, m. longissimus dorsi) of rats alcoholized for three months by different methods using agar containing 30% ethanol and nutrient-balanced liquid feed containing 5% ethanol using gel electrophoresis methods under denaturing conditions and immunoblotting. No decrease in the muscle mass/body weight ratio, indicating the development of atrophy, no increase in autolysis of μ-calpain, indicating an increase in the activity of this enzyme, no changes in the content of intact titin (T1), nebulin, μ-calpain and calpastatin, as well as the total calpain activity measured using Calpain Activity Assay Kit were detected in alcoholized rats of both groups. No changes in the total level of titin phosphorylation in the rat muscles of alcoholized groups were detected using Pro-Q Diamond fluorescent dye for phosphate groups of proteins. No statistically significant differences in the content of titin and nebulin mRNA in skeletal muscles of control rats and rats alcoholized using agar were detected. In rats, alcoholized by the method of liquid feed, the levels of titin and nebulin mRNA were increased 1.5-2.5 times possibly due to a higher fat content in such a diet. The presented data may be useful for choosing a chronic alcoholization model for animals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".