Characterization of a Novel Scaffold Protein Involved in Skeletal Muscle Differentiation
Bibliographic record
Abstract
The phosphatidylinositol 3‐kinase (PI 3 K) signaling pathway has been associated with a variety of cellular functions, ranging from cell cycle regulation to tissue development. Altered or deviant signaling through this cascade has been associated with a number of cancers and disorders. Although years of research have extensively characterized this signaling pathway, not all aspects of it have been fully elucidated. Here we show a novel plekstrin homology domain containing protein is also involved in this pathway. This protein was identified during a screen of MEF2 transcription factor binding sites during skeletal muscle differentiation. The protein is a well‐conserved, though previously uncharacterized, protein found in a variety of sequenced tetrapods. Association analysis demonstrated that the protein binds specifically to PI 3 K signaling pathway members. In C 2 C 12 myoblast cells prior to differentiation, the protein was localized to the cytosol, migrating to the membrane following initiation of muscle differentiation. Knockdown by RNAi resulted in inhibition of myotube formation. Finally, mRNA levels were found to be differentially regulated across a number of tumour pathologies.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".