Press Releases

2410, 2018

Groundbreaking publication in NEJM

October 24th, 2018|

Groundbreaking publication in NEJM on using DNA sequencing for drug resistance prediction in TB. For the first time, our understanding of the genetics is accurate enough to confirm that the 4 first-line drugs (isoniazid, rifampicin,

Media

Meetings and conferences

711, 2019

Fifth Annual CRyPTIC Meeting in Hyderabad

By | November 7th, 2019|Categories: Meetings and conferences, News|0 Comments

The fifth CRyPTIC annual meeting took place in Hyderabad on Sat 26 and Sun 27 Oct 2019. Consortium partners were updated on the various analysis projects and a General Assembly was held to discuss the progress and direction of the project. Alexander Lachapelle (and Samaneh Kouchaki) updating the CRyPTIC consortium on their progress training machine learning models to predict resistance to antituberculars.

1011, 2018

Fourth Annual CRyPTIC Meeting in Dubai

By | November 10th, 2018|Categories: Meetings and conferences, News|0 Comments

The fourth annual CRyPTIC meeting took place in Dubai on 31 Oct & 1 Nov 2018 and included a meeting of the General Assembly. The majority of the meeting focussed on hearing updates from the Analysis Group on the different projects underway. Josh Carter presenting preliminary results on using machine learning to predict pyrazinamde resistance.

2804, 2017

38th Annual Congress of the European Society of Mycobacteriology

By | April 28th, 2017|Categories: Meetings and conferences|0 Comments

Ana Gibertoni Cruz and Philip Fowler will be presenting "A bespoke dry broth microdilution panel for susceptibility testing of M. tuberculosis: a validation study" and "BashTheBug.net: A citizen science project helping to classify M. tuberculosis drug susceptibility testing", respectively, at ESM 2017, to take place in Croatia from 25th-28th June.

News

2203, 2021

New preprint: Deciphering bedaquiline and clofazimine resistance in tuberculosis

By | March 22nd, 2021|Categories: News|0 Comments

Stefan Niemann, a CRyPTIC partner, led this combined experimental and modelling study looking at how resistance is conferred to bedaquline and clofazimine in Mycobacterial tuberculosis. The CRyPTIC project provided 14,151 clinical isolates, each with minimum inhibitory concentrations (MICs) to bedaquiline and clofazimine. This dataset was used to pinpoint genetic variation in Rv0678, a transcription regulator of a key efflux pump, as the main source of elevated MICs. The authors carried out evolutionary experiments on Rv0678 and were able to relate them to four major resistance mechanisms: impairment of DNA binding, reduction in protein stability, disruption of protein dimerization and reduction in affinity for its fatty acid ligand. A preprint is freely available to download. Sonnenkalb L, et al. (2021) Deciphering Bedaquiline and Clofazimine Resistance in Tuberculosis : An Evolutionary Medicine Approach. bioRxiv doi:101101/20210319436148.

203, 2021

New preprint: Establishing epidemiological cutoffs for the CRyPTIC UKMYC microdilution plates.

By | March 2nd, 2021|Categories: News|0 Comments

The CRyPTIC project has measured the minimum inhibitory concentrations (MICs) of 20,637 isolates to 13 different anti-TB drugs using a bespoke 96-well broth microdilution plate. These samples were collected by 14 partner laboratories based in 11 countries and span five continents. In this preprint, we use this large dataset to determine epidemiological cutoffs (ECOFF or ECV) for each of the 13 compounds. Although many of the analyses being undertaken by the consortium use the MIC, we also would like to be able to classify each isolate as susceptible or resistant to each of the 13 antibiotics.

2603, 2020

New paper: Estimating genetic adaption in 10,000 M. tuberculosis genomes

By | March 26th, 2020|Categories: News|0 Comments

Daniel Wilson, one of the CRyPTIC partners, has recently published a paper where he introduces a new approach, genomegaMap, which estimates the ratio of non-synonymous to synonymous mutations (usually referred to as dN/dS) at sites across the genome. This ratio can provide important clues to which parts of the genome are under selection pressure, which can lead to, amongst other things, antibiotic resistance. GenomegaMap: Within-Species Genome-Wide dN/dS Estimation from over 10,000 GenomesDaniel J Wilson and the CRyPTIC ConsortiumMol. Biol. Evol. 37(8):2450–2460 The paper is free to download and can be accessed here.

1812, 2019

CRyPTIC inoculates its 15,000th microtitre plate

By | December 18th, 2019|Categories: News|0 Comments

Sometime in November 2019, the 15,000th 96-well microtitre plate was inoculated with M. tuberculosis. Since each plate contains 13 different antibiotics used to treat tuberculosis this is a large and comprehensive antibiotic susceptibility dataset. The vast majority of samples also have their whole genome sequenced to enable us to associate genetic variants with resistance (or susceptibility). An (empty) UKMYC6 96-well microtitre plate with 2 positive control wells and 13 different antibiotics at a range of concentations.

711, 2019

Fifth Annual CRyPTIC Meeting in Hyderabad

By | November 7th, 2019|Categories: Meetings and conferences, News|0 Comments

The fifth CRyPTIC annual meeting took place in Hyderabad on Sat 26 and Sun 27 Oct 2019. Consortium partners were updated on the various analysis projects and a General Assembly was held to discuss the progress and direction of the project. Alexander Lachapelle (and Samaneh Kouchaki) updating the CRyPTIC consortium on their progress training machine learning models to predict resistance to antituberculars.