Non-membranous granular organelle consisting of PCM-1: subcellular distribution and cell-cycle-dependent assembly/disassembly
Bibliographic record
Abstract
Centriolar satellites were initially identified as electrondense spherical granules, approximately 70-100 nm in diameter, localized around the centrosomes. We have previously identified pericentriolar material 1 (PCM-1), with a molecular mass of approximately 230 kDa, as a component of centriolar satellites. We now show by immunofluorescence microscopy that these granules are not only concentrated around centrioles but also scattered throughout the cytoplasm in various types of mouse cells, leading us tentatively to call them 'PCM-1 granules'. We then found that, when overexpressed, PCM-1 molecules lacking their C-terminal region bound directly with each other through two distinct regions to form large aggregates, which then recruited endogenous PCM-1. These large aggregates as well as endogenous PCM-1 granules appear to be disassembled during mitosis, and reassembled when the cells entered interphase. These findings suggest that PCM-1 granules are formed by self-aggregation of PCM-1 and that this self-aggregation is regulated in a cell-cycle-dependent manner. Furthermore, we found that PCM-1 granules are distinct from pericentrin-containing granules, and that these two distinct types of granular structures are frequently associated with each other within the cytoplasm. These findings are discussed with special reference to the possible physiological functions of PCM-1 granules.
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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) | 0.000 | 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 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".