New preprint: Deciphering bedaquiline and clofazimine resistance in tuberculosis Philip Fowler, 22nd March 202122nd March 2021 In this preprint we examine 14,151 clinical isolates drawn from the CRyPTIC dataset. Each isolate had its minimum inhibitory concentration (MIC) to bedaquiline and clofazimine measured and hence we were able to identify the transcription regulator Rv0678, as the current main source of elevated MICs to both these drugs. Lindsay Sonnenkalb, who is studying for her PhD with Stefan Niemann, then evolved Mycobacterium tuberculosis strains under sub-lethal concentrations of both compounds and was able to identify 189 different Rv0678 genetic variants that confer elevated MICs to bedaquiline and clofazimine. Detailed modelling of the protein structure allowed us to posit four main resistance mechanisms: impairment of DNA binding, reduction in protein stability, disruption of protein dimerization, and reduction in affinity for its fatty acid ligand. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology publication
antimicrobial resistance BashTheBug Coordinator post advertised 15th November 2019 We are advertising for a Part-time Citizen Science Project Co-ordinator to come and work with… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
clinical microbiology New preprint: processing SARS-CoV-2 genetics in the cloud 31st January 202431st January 2024 In this preprint, we describe how in July 2022 for two weeks seven sites in… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
citizen science Automated detection of bacterial growth on 96-well plates (AMyGDA) 11th December 20175th August 2018 I am involved in an international collaboration, the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More