Spectrin alpha is important for rear polarization of the microtubule organizing center during migration and spindle pole assembly during division of neointimal smooth muscle cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Directed migration of smooth muscle cells (SMCs) from the media to the intima and their subsequent proliferation are key events in atherosclerosis as these cells contribute to the bulk and stability of atheromatous plaques. We showed previously that two cytoskeleton-associated proteins, RHAMM and ARPC5, play important roles in rear polarization of the microtubule organizing centre (MTOC), directed migration, and in maintaining cell division fidelity. These proteins were analyzed to predict additional potential interacting partners using the bioinformatics programs BLAST, ClustalW, and PPI Spider. We identified spectrin alpha, a protein with a known role in actin polymerization as part of the pathway. We show that in migrating SMCs spectrin alpha localizes at the nodes of the actin net, and it partially colocalizes with RHAMM in the perinuclear region. In dividing SMCs spectrin alpha is present at spindle poles and midbody. Moreover, we show that spectrin alpha and RHAMM interact in a complex. Using siRNA to knockdown spectrin disrupted SMC migration, MTOC polarization, and the assembly of a polygonal actin net dorsolateral of the nucleus. Spectrin alpha knockdown also disrupted the organization of the bipolar spindle, chromosome division, and cytokinesis during cell division. The identification of interacting partners such as spectrin alpha and the decoding of pathways involved in polarity regulation during the migration of smooth muscle cells in atherosclerosis is important for identifying atherosclerosis biomarkers and developing therapeutic agents to block atherosclerotic plaque formation.
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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