In vitro binding of cattle<i>Pst</i>I SINE with a 33-kDa nuclear protein
Bibliographic record
Abstract
A PstI family of SINEs (short interspersed elements) has been identified in some of the members of the family Bovidae, for example, cattle, buffalo and goat. In vitro DNA-protein interactions were studied to provide a better understanding of the function of these SINEs in the genome. Use of one such cattle PstI interspersed repeat sequence, as a probe in gel retardation assays, has lead to the identification of a repeat DNA-binding factor PIRBP (PstI interspersed repeat binding protein) from cattle liver nuclear extract. Southwestern analysis with liver nuclear extracts from cattle, goat, and buffalo revealed the presence of a PIRBP-like nuclear factor in all three species belonging to the family Bovidae. Deletion analysis localized the PIRBP binding site to an 80-bp (337-417 bp) region within the cattle PstI sequence. UV crosslinking and Southwestern analyses clearly indicated that PIRBP is a singular, small polypeptide of 33-kDa molecular mass. Homology search of the nucleic acids database revealed that the cattle PstI sequence was associated with many different genes of the family Bovidae, either in the 5' flanking region, 5' locus activating region, 3' UTR or in intervening sequences. The binding of the cattle PstI SINE by PIRBP and its association with the regulatory regions of the genes suggests that it plays an important role in the bovine genome.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".