Identification of nuclear-import and cell-cycle regulatory proteins that bind to prothymosin α
Bibliographic record
Abstract
Prothymosin alpha (ProT alpha) is a nuclear protein that is widely distributed in mammalian tissues, and is thought to play a role in cell proliferation. In an attempt to shed light on this role, affinity chromatography on ProT alpha-Sepharose columns was used to identify proteins in subcellular extracts of transformed human lymphocytes (NC37 cells) that interact with ProT alpha in vitro, and thus may interact with ProT alpha in vivo. Immunoblotting techniques were used to screen the ProT alpha-binding fractions for histones and other proteins involved in nuclear transport and cell-cycle control. The most abundant ProT alpha-binding proteins were histones H2A, H2B, H3, and H4. Of the nuclear-transport proteins, karyopherin beta1, Rch-1, Ran, and RCC1 were detected at high concentrations; NTF2, nucleoporin p62, and Hsp70 were detected at low concentrations; while tranportin, CAS, and Ran BPI were not detected. Of the cell-cycle control proteins, PCNA, Cdk2, and cyclin A were detected at high concentrations; cdc2, Cdk4, and cyclin B were detected at very low concentrations; while cyclin D1, cyclin D3, Cip1, and Kip1 were not detected. These results suggest (i) that ProT alpha is transported into the nucleus by the karyopherin beta1-Rch-1 complex, and (ii) that ProT alpha may interact in the nucleus with proteins involved in DNA metabolism and cell-cycle control.
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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".