Heterogeneity of human Ro ribonucleoproteins (RNPS): nuclear retention of Ro RNPS containing the human hY5 RNA in human and mouse cells
Bibliographic record
Abstract
Ro ribonucleoproteins (RNPs) are autoantigens that result from the association of a 60-kDa protein (Ro60) with a small RNA (hY1, hY3, hY4 or hY5 in humans, mY1 or mY3 in mice). Previous studies localized Ro RNPs to the cytoplasm. Because Ro RNPs containing hY5 RNA (Ro(hY5) RNPs) have unique biochemical and immunological properties, their intracellular localization was reassessed. Subcellular distribution of mouse and human Ro RNPs in intact and hY-RNA transfected cells was assessed by immunoprecipitation and Northern hybridization. Human Ro(hY1--4) RNPs as well as murine Ro(mY1, mY3) RNPs are exclusively cytoplasmic. Ro RNPs containing an intact hY5 RNA, but not those containing a mutated form of hY5 RNA, are found in the nuclear fractions of human and mouse cells. Ro(hY5) RNPs are stably associated with transcriptionally active La protein and are known to associate with RoBPI, a nuclear autoantigen. Our results demonstrate that Ro(hY5) RNPs are specifically present in the nucleus of cultured human and murine cells. The signal for nuclear localization of Ro(hY5) RNPs appears to reside within the hY5 sequence itself. In conclusion, we suggest that the unique localization and interactions of primate-specific Ro(hY5) RNPs reflect functions that are distinct from the predicted cytoplasmic function(s) of more conserved Ro RNPs.
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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".