Towards next generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics
G. A. Goig, M. Torres-Puente, C. Mariner Llicer, L. M. Villamayor, A. Chiner-Oms, A. Gil-Brusola, R. Borras, I. Comas
Abstract
Tuberculosis remains one of the main causes of death worldwide. The long and cumbersome process of culturing Mycobacterium tuberculosis complex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel tuberculosis diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study had been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers. In this work, we use large-scale comparative genomics to provide a catalog of 30 characterized loci that are unique to the MTBC. Some of these genes could be targeted to assess the physiological status of the bacilli. Remarkably, none of the conventional MTBC markers is in our catalog. In addition, we develop a qPCR assay to accurately quantify MTBC DNA in clinical samples.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Demonstration of a fast and easy sample-to-answer protocol for Mycobacterium tuberculosis diagnosis in point-of-care settings
Nasir Ali, Graziele Lima Bello, … Marco Aurélio Krieger·bioRxiv·Apr 7, 2019
- Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach
Ivan Barilar, Simone Battaglia, … Guy Edward Thwaites·Nature CommunicationsPeer-reviewed·Jan 12, 2024
- A precision overview of genomic resistance screening in isolates of Mycobacterium tuberculosis using web-based bioinformatics tools.
G. Morey-Leon, P. M. Mejia-Ponce, … L. Berna·bioRxiv·Jan 10, 2023
- Improving diagnosis and monitoring of treatment response in pulmonary tuberculosis using the molecular bacterial load assay (MBLA)
Wilber Sabiiti, Khalide Azam, … Stephen H Gillespie·bioRxiv·Feb 28, 2019
- Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial Resistance
Mohammadali Serajian, Yunheng Han, Christina Boucher·bioRxiv·May 25, 2026
- Label-free citrate-stabilized silver nanoparticles-based highly sensitive, cost-effective and rapid visual method for differential detection of Mycobacterium tuberculosis and Mycobacterium bovis
N. Patnaik, R. J. Dey·bioRxiv·Aug 4, 2023