Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis (Mtb), which can invade various organs of the human body. Mtb can persist in the host for a long time without causing clinical symptoms due to the evolved adaptation mechanisms to survive in the harsh environment of the host. Since TB treatment is mainly dependent on antibiotics, one of the important problems is the emergence of multi-drug-resistant TB.
In Mtb, there are almost 200 transcription regulatory proteins and they play an important role in persistence, drug resistance, pathogenesis, amino acids biosynthesis and metabolism, and so on. The "smart" Mtb use its own set of complex and sophisticated regulatory system to quickly adapt to the host environment, and then achieve long-term persistence in the host and cause disease. Therefore, it will be important to decipher the regulation mechanism for Mtb and host, analyze its changes in various aspects including transcriptome, proteome and metabolome, and so on under different growth environments. The deciphering of regulation mechanisms for important and new transcriptional regulators will be beneficial for novel drug target discovery for TB treatment.
This research topic is focused on deciphering the regulation mechanism of transcriptional factors, Unravelling the transcriptomic networks and identifying novel drug targets based on transcription regulation. This will benefit to discovery of potential and novel anti-Tuberculosis drug targets and open new therapeutic opportunities.
We welcome authors to contribute with Original Research, Reviews, Mini-reviews as well as other article types accepted in the journal that include, but are not limited to the following sub-themes:
1. Unravelling of novel regulons, regulatory networks, and cross-talks;
2. Biochemical, structural and physiological characterization of Mtb transcriptional regulators, including DNA-binding response regulators and two-component systems
3. Combined omics analysis for Mtb
4. Alternative therapeutic regimens and approaches for the treatment of TB based on transcriptional regulation
Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis (Mtb), which can invade various organs of the human body. Mtb can persist in the host for a long time without causing clinical symptoms due to the evolved adaptation mechanisms to survive in the harsh environment of the host. Since TB treatment is mainly dependent on antibiotics, one of the important problems is the emergence of multi-drug-resistant TB.
In Mtb, there are almost 200 transcription regulatory proteins and they play an important role in persistence, drug resistance, pathogenesis, amino acids biosynthesis and metabolism, and so on. The "smart" Mtb use its own set of complex and sophisticated regulatory system to quickly adapt to the host environment, and then achieve long-term persistence in the host and cause disease. Therefore, it will be important to decipher the regulation mechanism for Mtb and host, analyze its changes in various aspects including transcriptome, proteome and metabolome, and so on under different growth environments. The deciphering of regulation mechanisms for important and new transcriptional regulators will be beneficial for novel drug target discovery for TB treatment.
This research topic is focused on deciphering the regulation mechanism of transcriptional factors, Unravelling the transcriptomic networks and identifying novel drug targets based on transcription regulation. This will benefit to discovery of potential and novel anti-Tuberculosis drug targets and open new therapeutic opportunities.
We welcome authors to contribute with Original Research, Reviews, Mini-reviews as well as other article types accepted in the journal that include, but are not limited to the following sub-themes:
1. Unravelling of novel regulons, regulatory networks, and cross-talks;
2. Biochemical, structural and physiological characterization of Mtb transcriptional regulators, including DNA-binding response regulators and two-component systems
3. Combined omics analysis for Mtb
4. Alternative therapeutic regimens and approaches for the treatment of TB based on transcriptional regulation