Solubilization, two-dimensional separation and detection of the cardiac myofilament protein troponin T
Why this work is in the frame
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Bibliographic record
Abstract
Proteomics strongly relies on the separation of complex protein mixtures, with two-dimensional electrophoresis (2-DE) being a commonly used technique. However efficient separation requires adequate solubilization of the original sample which will determine whether all proteins are accurately represented. Cardiac muscle has presented a particular challenge to solubilization. Here we have optimized the solubilization, separation and detection of the myofilament protein troponin T (TnT). Human left ventricular tissue from a rejected donor transplant heart was homogenized under 19 different conditions and subjected to 2-DE and Western blot analysis for TnT. The optimal conditions for isoelectric focusing of intact TnT requires homogenization in 6 M urea, 2.5 M thiourea, 4% 3-[(3-cholamidopropyl)dimethylamino]-1-propanesulfonate, with the addition of NaCl (2.5 M final concentration). TnT degradation products present in this severely damaged heart however, were differentially extracted from both each other and the intact molecule under the various conditions used. Despite adequate focusing of TnT it was found that a nonglutaraldehyde silver staining protocol, that is compatible with subsequent mass spectrometry, has greatly reduced sensitivity for TnT compared to Coomassie blue. Thus, care is required to avoid misrepresentation of troponin T in proteomic analysis in cardiac tissue.
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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 it