Publications by authors named "V D Mohr"
Article Synopsis
- Whole genome sequencing of Mycobacterium tuberculosis complex (MTBC) isolates can effectively predict which anti-tuberculosis drugs will work or not work against them.
- Current methods for analyzing this data can be complex and hard to find, as many bioinformatic tools and mutation catalogs are tailored for specific needs.
- This text offers a clear, step-by-step guide on how to process short-read sequencing data and reviews the analysis pipelines available for researchers.
Article Synopsis
- Whole genome sequencing (WGS) is increasingly used for testing antibiotic susceptibility in Mycobacterium tuberculosis complex (MTBC) isolates.
- The process begins with DNA-library preparation, which involves creating unique short DNA fragments that represent the sample’s genomic content.
- Existing protocols may require customization by labs to ensure effective implementation of WGS, so this text offers a detailed workflow adapted from an Illumina protocol to help reduce costs.
Article Synopsis
- * A new two-stage diagnostic workflow has been developed, allowing for rapid testing and drug susceptibility analysis from a single sputum sample, completed in just three days.
- * The first stage utilizes automated qPCR to detect TB and resistance to key antibiotics, followed by targeted next generation sequencing (tNGS) for complete resistance profiling when necessary.
Whole genome sequencing (WGS) is revolutionary for diagnostics of TB and its mutations associated with drug-resistances, but its uptake in low- and middle-income countries is hindered by concerns of implementation feasibility. Here, we provide a proof of concept for its successful implementation in such a setting. WGS was implemented in the Kyrgyz Republic.
View Article and Find Full Text PDFAlzheimer's disease affects more women than men and has therefore been highlighted as a women's issue. However, there is much debate regarding the nature of this gap, with some studies pointing to sex/gender differences in longevity to explain the disparity. Against this background of empirical uncertainty, we ask how online women's brain health campaigns position women as specifically at risk of developing the disease.
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