Tuberculosis
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By using a computer model to understand the adaptions of Mycobacterium tuberculosis (Mtb), the pathogen that causes tuberculosis, researchers at ISB have identified a network within Mtb that allows it to tolerate and resist drug therapies. This work is published in Cell Reports.
Tuberculosis (TB) is the world’s second leading infectious disease killer after COVID-19. Drug resistance to TB is a public health crisis. ISB researchers have developed algorithms to predict the efficacy of drugs in treating Mycobacterium tuberculosis (MTB), the causative agent for TB. These research findings were published in the journal Cell Reports Methods.
ISB researchers Dr. Nitin Baliga, Dr. Eliza Peterson and Dr. Vivek Srinivas have developed a new cell sorting technology, called PerSort, that isolates and characterizes dormant persisters that exist in cultures of Mycobacterium tuberculosis, the pathogen that causes tuberculosis.
ISB researchers have unveiled new insights on how Mycobacterium tuberculosis, the pathogen that causes tuberculosis, enters and exits a dormant state in human hosts. About a quarter of the world’s population has latent TB, so these important findings will enable and accelerate the discovery of more effective TB drugs.
Researchers at ISB reported a novel method, Path-seq, to profile expression of all MTB genes within infected mice. This study presents the most comprehensive transcriptome profiling of MTB from in vivo infection and a major technical advancement for studying any host-pathogen interaction.