New Rapid Multicolor PRINS Protocol
Bibliographic record
Abstract
In the multiple-color primed in situ labeling (multi-PRINS) technique, using ddNTPs between two PRINS reactions can block the free 3'-end generated in the previous PRINS reaction, thus avoiding the next PRINS reaction, using it as a primer to perform spurious elongation at nondesired sites. However, by omitting the blocking step and taking advantage of the color mixing, we developed a simple and rapid multi-PRINS technique to simultaneously detect three chromosomes in the same cell. With this protocol, one can create a third color using the two most common forms of labeled dUTP (biotin- and digoxigenin-labeled dUTP) and two fluorochromes (fluorescein and rhodamine). The signals at the centromeres of three different chromosomes displayed perfect yellow, red, and green colors, respectively. The entire procedure could be completed in less than 90 min because the blocking step was omitted. This protocol is practical and efficient for multi-PRINS so that even more than three chromosome targets could be detected in the same cell.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.025 |
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".