Simultaneous identification of chromosomes 18, X and Y in uncultured amniocytes by using multi-primed in situ labelling technique
Bibliographic record
Abstract
The aim of this study is to validate the multi-PRINS (primed in situ labelling) technique for simultaneous detection of chromosomes 18, X and Y in uncultured amniocytes for prenatal diagnosis of aneuploidy. The sites of the newly synthesized DNA sequences were showed as fluorescent signals by using immunochemistry. A multi-PRINS technique was specifically performed for simultaneous detection in the same cells of three chromosome targets, e.g. chromosomes 18, X and Y. Fluorescent signals corresponding to chromosomes 18, X and Y were showed as yellow, red and green colour spots, respectively. A multi-FISH technique using chromosome 18, X and Y probes was performed for comparison. Sixty cases were analysed using both multi-PRINS and multi-FISH. Fifty to two hundred nuclei were scored for each case for each technique. In all cases, there was no significant difference in the detection of chromosomes 18, X and Y regarding the sensitivity, the specificity and the efficiency; multi-PRINS and multi-FISH yield a similar distribution of the number of spots per nucleus. Both techniques were able to identify aneuploid cases without any ambiguity. Both multi-PRINS and multi-FISH can accurately and reliably detect aneuploidies involving chromosomes 18, X and Y in uncultured amniocytes. Finally, multi-PRINS represents a faster and more cost-effective alternative to FISH for prenatal testing of aneuploidy in uncultured amniocytes.
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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 | 0.002 |
| 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".