Subcellular Localization of the Human Proto-oncogene Protein DEK
Bibliographic record
Abstract
Recent data revealed that DEK associates with splicing complexes through interactions mediated by serine/arginine-repeat proteins. However, the DEK protein has also been shown to change the topology of DNA in chromatin in vitro. This could indicate that the DEK protein resides on cellular chromatin. To investigate the in vivo localization of DEK, we performed cell fractionation studies, immunolabeling, and micrococcal nuclease digestion analysis. Most of the DEK protein was found to be released by DNase treatment of nuclei, and only a small amount by treatment with RNase. Furthermore, micrococcal nuclease digestion of nuclei followed by glycerol gradient sedimentation revealed that DEK co-sedimentates with oligonucleosomes, clearly demonstrating that DEK is associated with chromatin in vivo. Additional chromatin fractionation studies, based on the different accessibilities to micrococcal nuclease, showed that DEK is associated both with extended, genetically active and more densely organized, inactive chromatin. We found no significant change in the amount and localization of DEK in cells that synchronously traversed the cell cycle. In summary these data demonstrate that the major portion of DEK is associated with chromatin in vivo and suggest that it might play a role in chromatin architecture.
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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".