Mycobacterium Tuberculosis Respiratory Chain Mutations Linked to Drug Resistance

Qiang Ji's research dataset, published on figshare in May 2026, contains genomic analysis results from 13,402 Mycobacterium tuberculosis isolates. The study identified specific single nucleotide polymorphisms (SNPs) in respiratory chain genes associated with multidrug-resistant (MDR) and single-drug-resistant (SDR) isolates. The data likely includes mutation identifiers and their statistical associations with drug resistance and phylogenetic clustering.

Use Cases

• Identify genetic markers for drug-resistant tuberculosis based on respiratory chain gene mutations.
• Train predictive models for drug resistance classification based on SNP patterns described in the study.
• Analyze phylogenetic clustering of resistant strains based on associated mutations like atpH A428G and cydA C942A.
• Investigate potential therapeutic targets for MDR tuberculosis based on implicated genes such as qcrB and nuoG.

Strengths

• Includes a large sample of 13,402 Mycobacterium tuberculosis isolates.
• Provides specific SNP identifiers (e.g., atpH A428G, qcrB G1250T) significantly associated with MDR and phylogenetic clustering.
• Analysis employed multiple statistical models (random forest, gradient boosting, generalized linear mixed models).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (786.3 KB), suggesting it contains summary results rather than raw sequence data.

Provenance

Source

figshare, author Qiang Ji.

Collection Method

Whole-genome sequencing performed on analyzed strains, with statistical modeling to identify significant mutations.

Time Range

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Freshness

Last updated 2026-05-20 04:38:19; freshness should be verified.

Geography

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