SLMAP overexpression in mouse heart remodels subcellular membranes involved in E‐C coupling
Bibliographic record
Abstract
SLMAP is a tail‐anchored membrane protein implicated in regulating the excitation‐contraction (E‐C) coupling. To define further its role in cardiac function we generated transgenic (Tg) mice with SLMAP1 expression driven by the α‐MHC promoter. Gross analysis indicated no changes in structure or function as a consequence of SLMAP1 expression although genes associated with cardiac remodeling such as (ANF) were up regulated. Immunohistochemical analysis revealed that SLMAP1 targets subcellular organelles and was associated with a moderate to severe vacuolization of membrane compartments in cardiomyocytes. The changes in membrane vacuolization appeared to be related to the level of SLMAP1 protein expressed as well as age of the animals with maximal membrane disruption noted at day 30–35. High resolution microscopy revealed the presence of large membranes vesicles filled with crystalline substance, consistent with dilated sarcoplasmic reticulum. The expression of proteins involved in regulating the E‐C coupling (RyR2, caveolin3, triadin) were down regulated whereas others (calsequestrin, calnexin, BiP) were up regulated. We concluded that SLMAP is involved in subcellular remodeling of E‐C coupling components and its regulated level in cardiomyocytes is critical to ensure a proper organization of subcellular compartments. (Supported by a grant from HSFO)
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".