FISH detection of chromosome polymorphism and deletions in the spinal muscular atrophy (SMA) region of 5q13
Bibliographic record
Abstract
The search for the SMA defect has culminated in the identification of two candidate 5q13.1 SMA genes, NAIP and SMN both of which are deleted in individuals with SMA. It was postulated that the intact and degenerate versions of NAIP are present in variable and frequently high copy numbers in this region while SMN was proposed to be present in only two copies. In order to assess the copy number of NAIP and SMN we have conducted interphase FISH analysis using NAIP and SMN gene-containing cosmid and plasmid probes. Our results confirm the variability in the number of NAIP signals in non-SMA chromosomes (2-6) and show that SMN is present on average twice per chromosome although in one chromosome 4-5 signals for the SMN-containing cosmid probe were detected. Our analysis reveals that one of four and three of six type I SMA chromosomes had a lower than normal number of NAIP and SMN signals, respectively. In two of six SMA type I chromosomes, complete loss of hybridization signal was observed on one chromosome 5 with our SMN cosmid probe possibly reflecting a large scale deletion. Large scale deletions were not detectable when metaphase chromosomes of an SMA type II and III patient were analyzed.
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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 | 0.001 | 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) | 0.004 | 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".