| Chapter title |
Transcriptional Profiling Mycobacterium tuberculosis from Patient Sputa
|
|---|---|
| Chapter number | 11 |
| Book title |
Antibiotic Resistance Protocols
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7638-6_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7636-2, 978-1-4939-7638-6
|
| Authors |
Leticia Muraro Wildner, Katherine A. Gould, Simon J. Waddell |
| Abstract |
The emergence of drug resistance threatens to destroy tuberculosis control programs worldwide, with resistance to all first-line drugs and most second-line drugs detected. Drug tolerance (or phenotypic drug resistance) is also likely to be clinically relevant over the 6-month long standard treatment for drug-sensitive tuberculosis. Transcriptional profiling the response of Mycobacterium tuberculosis to antimicrobial drugs offers a novel interpretation of drug efficacy and mycobacterial drug-susceptibility that likely varies in dynamic microenvironments, such as the lung. This chapter describes the noninvasive sampling of tuberculous sputa and techniques for mRNA profiling M. tb bacilli during patient therapy to characterize real-world drug actions. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Researcher | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 5 | 24% |
| Medicine and Dentistry | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |