Dynamics of WD-repeat containing proteins in SSU processome components
Bibliographic record
Abstract
Nine WD-repeat containing proteins in human SSU processome components have been found in a HeLa cell nuclear matrix fraction. In these proteins, t-UTP sub-complex components, i.e., CIRH1A, UTP15, and WDR43, were shown to be immobilized in the fibrillar centers of nucleoli in living cells. In this study, the dynamics of the remaining six proteins fused with green fluorescent protein (GFP), i.e., PWP2-GFP, TBL3-GFP, GFP-UTP18, GFP-NOL10, GFP-WDR46, and GFP-WDSOF1, were examined in living cells. The findings were as follows. (i) The majority of UTP-B sub-complex components, i.e., PWP2-GFP, TBL3-GFP, and GFP-UTP18, are localized to the dense fibrillar component and granular component regions in nucleoli; (ii) When rRNA transcription is suppressed, the majority of GFP-fused UTP-B sub-complex components are localized in the cap and body regions of nucleoli. (iii) The mobility of these proteins except for GFP-WDSOF1, and half of GFP-UTP18 and GFP-WDR46, respectively, is very low in living cells. (iv) When rRNA transcription is suppressed, the mobility of these proteins except for GFP-WDSOF1 is accelerated but still slow. These findings and others suggest that these WD-repeat proteins other than GFP-WDSOF1 found in the nuclear matrix fraction bind tightly to some macro-protein complexes and act as a scaffold or a core for the complexes in nucleoli.
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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".