Integrating genomic, transcriptomic, and phenotypic information to explore drug resistance in <i>Mycobacterium tuberculosis</i> sub-lineage 4.2.2.2

Identification of these differentially expressed genes and their networks could be useful in unraveling the complexities of Mtb drug resistance and in understanding the impact that drug resistance conferring mutations have on the physiology of drug-resistant Mtb.

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Publication Details

Journal
Journal of Applied Microbiology
Published
2025-03-01
DOI
https://doi.org/10.1093/jambio/lxaf063
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40
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article

Integrating genomic, transcriptomic, and phenotypic information to explore drug resistance in Mycobacterium tuberculosis sub-lineage 4.2.2.2

Abay Atnafu, Workineh Shibeshi, Michael J. Brennan, Ephrem Engidawork et al.
1 citations
Journal of Applied Microbiology
Tuberculosis Research and Epidemiology
1.40
article

Integrating genomic, transcriptomic, and phenotypic information to explore drug resistance in Mycobacterium tuberculosis sub-lineage 4.2.2.2

Abay Atnafu, Workineh Shibeshi, Michael J. Brennan, Ephrem Engidawork, Yared Merid, Abaysew Ayele, Dawit Hailu Alemayehu, Melaku Tilahun, Tesfaye Gelanew, Tenagne Haile‐Mariam, Simon J. Waddell, Abraham Aseffa, Kidist Bobosha, Yonas Hirutu, Zemedkun Abebe Debella
article en
1 citations

Abstract

Identification of these differentially expressed genes and their networks could be useful in unraveling the complexities of Mtb drug resistance and in understanding the impact that drug resistance conferring mutations have on the physiology of drug-resistant Mtb.

Journal of Applied MicrobiologyVol. 136(3)
Brighton and Sussex Medical School (GB), University of Sussex (GB), Hawassa University (ET), Addis Ababa Science and Technology University (ET), Armauer Hansen Research Institute (ET), Addis Ababa University (ET)
Good health and well-being
Openalex Percentile: Top 23%
Tuberculosis Research and Epidemiology
1.40
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