Association of Human DEAD Box Protein DDX1 with a Cleavage Stimulation Factor Involved in 3′-End Processing of Pre-mRNA
Bibliographic record
Abstract
DEAD box proteins are putative RNA helicases that function in all aspects of RNA metabolism, including translation, ribosome biogenesis, and pre-mRNA splicing. Because many processes involving RNA metabolism are spatially organized within the cell, we examined the subcellular distribution of a human DEAD box protein, DDX1, to identify possible biological functions. Immunofluorescence labeling of DDX1 demonstrated that in addition to widespread punctate nucleoplasmic labeling, DDX1 is found in discrete nuclear foci approximately 0.5 microm in diameter. Costaining with anti-Sm and anti-promyelocytic leukemia (PML) antibodies indicates that DDX1 foci are frequently located next to Cajal (coiled) bodies and less frequently, to PML bodies. Most importantly, costaining with anti-CstF-64 antibody indicates that DDX1 foci colocalize with cleavage bodies. By microscopic fluorescence resonance energy transfer, we show that labeled DDX1 resides within a Förster distance of 10 nm of labeled CstF-64 protein in both the nucleoplasm and within cleavage bodies. Coimmunoprecipitation analysis indicates that a proportion of CstF-64 protein resides in the same complex as DDX1. These studies are the first to identify a DEAD box protein associating with factors involved in 3'-end cleavage and polyadenylation of pre-mRNAs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".