High Throughput Screening pp 181-195

Part of the Methods in Molecular Biology book series (MIMB, volume 1439) | Cite as

Mycobacterium tuberculosis High-Throughput Screening

  • E. Lucile White
  • Nichole A. Tower
  • Lynn Rasmussen
Protocol

Abstract

High-throughput screening is a valuable way to identify hit compounds that combined with a robust medicinal chemistry program could lead to the identification of new antibiotics. Here, we discuss our method for screening large compound libraries with virulent Mycobacterium tuberculosis, possibly one of the more difficult bacteria to use because of its slow growth and assignment to Biosafety Level-3 by the CDC and NIH. The principles illuminated here, however, are relevant to the execution of most bacteria high-throughput screens.

Key words

Mycobacterium tuberculosis Mtb H37Rv Tuberculosis TB High-throughput screening HTS Antitubercular Antibacterial Antimicrobial Antibiotics 

References

  1. 1.
    International statistical classification of diseases and related health problems, 10th revision (ICD-10), 2nd edn. World Health Organization, Geneva, 2007Google Scholar
  2. 2.
    Global Health Observatory Data Repository (2015) World Health Organization, Geneva, Switzerland. http://apps.who.int/ghodata. Accessed July 2015
  3. 3.
    Collins LA, Franzblau SG (1997) Microplate alamar Blue assay versus BACTEC 460 system for high-throughput screening of compounds against Mycobacterium tuberculosis and Mycobacterium avium. Antimicrob Agents Chemother 41:1004–1009Google Scholar
  4. 4.
    Ananthan S, Faaleolea ER et al (2009) High throughput screening for inhibitors of mycobacterium tuberculosis H37Rv. Tuberculosis 89:334–353CrossRefGoogle Scholar
  5. 5.
    Maddry JA, Ananthan S (2009) Antituberculosis activity of the molecular libraries screening center network library. Tuberculosis 89:354–363CrossRefGoogle Scholar
  6. 6.
    Reynolds RC, Ananthan S et al (2012) High throughput screening of a library based on kinase inhibitor scaffolds against Mycobacterium tuberculosis H37Rv. Tuberculosis 92:72–83CrossRefGoogle Scholar
  7. 7.
    Zhang J-H, Chung TDY et al (1999) A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays. J Biomol Screening 67–73Google Scholar
  8. 8.
    Rasmussen L, Tigabu B et al (2015) Adapting high-throughput screening methods and assays for biocontainment laboratories. Assay Drug Dev Technol 13:44–54CrossRefGoogle Scholar
  9. 9.
    Youmans GP (1946) A method for the determination of the culture cycle and the growth rate of virulent human type tubercle bacilli. J Bacteriol 51(6):703–710Google Scholar
  10. 10.
    Sattler TH, Youmans GP (1948) The effect of “Tween 80”, bovine albumin, glycerol, and glucose on the growth of mycobacterium tuberculosis var. hominis (H37Rv). J Bacteriol 56(2):235–243Google Scholar
  11. 11.
    Pethe K, Sequeira PC et al (2010) A chemical genetic screen in Mycobacterium tuberculosis identifies carbon-source-dependent growth inhibitors devoid of in vivo efficacy. Nat Commun 1(5):1–8. doi:10.1038/ncomms1060 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • E. Lucile White
    • 1
  • Nichole A. Tower
    • 1
  • Lynn Rasmussen
    • 1
  1. 1.High Throughput Screening CenterSouthern Research InstituteBirminghamUSA

Personalised recommendations