Compositional Characterization of the Cytoskeleton of NK-Like Cells
Bibliographic record
Abstract
The cytoskeleton is a dynamic structure that contributes to cell function in terms of shape, movement, transport and secretion. It also provides a platform for regional activities such as signaling, biosynthesis and energy production. The present manuscript describes a method for cytoskeleton isolation based on capture with magnetic microbeads and its application to the analysis of the NK like cell line, YTS. The isolated proteins were separated by SDS-PAGE and the peptides from the in gel digested proteins were analyzed by on line nano-LC-MSMS. Approximately 76% of the 126 isolated proteins were either components of the cytoskeleton or proteins that were known to be capable of associating with the cytoskeleton. The enrichment was confirmed by western blot for actin and alpha-actinin. The isolation was dependent on intact actin microfilaments as pretreatment of cells with cytochalasin D resulted in a marked reduction in the number of proteins isolated. The method allowed for the identification of several proteins that have not been previously described in lymphoid cells (EPLIN, SETA). A number of other scaffolding and lipid raft associated proteins were described suggesting a link between the cytoskeleton and these structures. The approach may have application to the proteomic examination of the cytoskeleton in a variety of cell types.
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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 | 0.000 |
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 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".