Paraoxical relationship between protein content and nucleolar activity in mammalian cardiomyocytes
Bibliographic record
Abstract
It was recently demonstrated that polyploidization of the avian myocardium is associated with a reduction of cardiac aerobic capacity evaluated by the heart mass to body mass ratio (heart index). To investigate possible cellular correlates of polyploidization, the protein content and nucleolar activity per cell and per genome were examined by image cytometry in 21 mammalian species, differing in the degree of heart polyploidization and heart index. We found that average cardiomyocyte ploidy level correlates negatively with the animal heart index (r = -0.75, p < 10(-4)), i.e., the large heart of athletic mammals is polyploidized to a lesser degree than the relatively smaller heart of sedentary species, which confirms the picture observed in birds. The protein content per genome decreased with the elevation of cardiomyocyte ploidy level. This inverse correlation was especially pronounced with the removed effect of body mass (r = -0.79, p < 10(-4)). Surprisingly, these changes were accompanied by the increase of nucleolar activity per genome (r = 0.61, p < 10(-3)). In the two species, for which the microarray gene expression data were available (human and mouse), this increase was paralleled by the elevated expression of ribosomal protein genes (but there was no increase in the expression of tissue-specific genes). Thus, in the polyploid cardiomyocytes there is a misbalance between protein content per genome and ribosome biogenesis. The reduction of protein content (per genome) of polyploid cardio my ocytes should further curtail heart functionality (in addition to reduction of heart index), because it is known that cardio myocyte protein content consists of more than 90% contractile proteins. This finding makes doubtful a widespread notion that polyploidization is necessary for cell function. Because somatic polyploidization is associated with stressful conditions and impaired energetics, we suppose that additional genomes can serve for cell regeneration and as a defense against oxidative damage in the organs that work at the limit of their metabolic capacity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".