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
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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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".