Characterization by single strand conformation polymorphism of mutations in the rpoB gene of rifampin-resistant Mycobacterium tuberculosis in strains from Vancouver, Mexico City and New Delhi.
Bibliographic record
Abstract
OBJECTIVE: The study was conducted to evaluate usefulness of single strand conformation polymorphism (SSCP) over DNA sequencing in the diagnosis of rifampicin (Rif)-resistant tuberculosis. METHODS: Forty seven isolates of Mycobacterium tuberculosis (MTB) Rif-resistant and 25 Rif-sensitive were obtained from Vancouver, Mexico city and New Delhi and were analyzed by polymerase chain reaction (PCR) amplification of rpoB gene and the mutations were identified by DNA sequencing and SSCP. RESULTS: The mutations observed by DNA sequencing in 47 RIF-resistant isolates showed that the most common mutation among Vancouver isolates was in codon 526, Hist-->Arg and in Mexico isolates was in codon 531, Ser-Leu and New Delhi isolates was in codon 516, Asp-->Val. Using fluorescence based PCR-SSCP, it was possible to distinguish Rif-resistant isolates from Rif-sensitive isolates. CONCLUSION: DNA sequencing is a highly accurate method for the detection of mutations associated with drug resistance in tuberculosis but is more expensive and requires special equipment and personnel. SSCP is a simple, accurate method and suitable for analysis of large number of samples and the results are available in less than 72 hours.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.001 | 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".