Literature DB >> 10968719

Use of spoligotype analysis to detect laboratory cross-contamination.

B Nivin1, J Driscoll, T Glaser, P Bifani, S Munsiff.   

Abstract

Spoligotype analysis identified false-positive isolates of Mycobacterium tuberculosis caused by laboratory cross-contamination. Spoligotyping is faster, is less expensive than DNA fingerprinting, and can be used with a variety of media. Patients were reevaluated and had medications discontinued as a result of this investigation. Months of unnecessary patient follow-up and treatment were avoided.

Entities:  

Mesh：

Year:  2000        PMID： 10968719     DOI： 10.1086/501799

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN： 0899-823X            Impact factor:   3.254


  6 in total

1.  Use of spoligotyping for accurate classification of recurrent tuberculosis.

Authors:  R M Warren; E M Streicher; S Charalambous; G Churchyard; G D van der Spuy; A D Grant; P D van Helden; T C Victor
Journal:  J Clin Microbiol       Date:  2002-10       Impact factor: 5.948

Review 2.  Molecular epidemiology of tuberculosis: current insights.

Authors:  Barun Mathema; Natalia E Kurepina; Pablo J Bifani; Barry N Kreiswirth
Journal:  Clin Microbiol Rev       Date:  2006-10       Impact factor: 26.132

3.  Spoligotype-based comparative population structure analysis of multidrug-resistant and isoniazid-monoresistant Mycobacterium tuberculosis complex clinical isolates in Poland.

Authors:  Tomasz Jagielski; Ewa Augustynowicz-Kopec; Thierry Zozio; Nalin Rastogi; Zofia Zwolska
Journal:  J Clin Microbiol       Date:  2010-09-01       Impact factor: 5.948

4.  Molecular characterization of Mycobacterium tuberculosis H37Rv/Ra variants: distinguishing the mycobacterial laboratory strain.

Authors:  P Bifani; S Moghazeh; B Shopsin; J Driscoll; A Ravikovitch; B N Kreiswirth
Journal:  J Clin Microbiol       Date:  2000-09       Impact factor: 5.948

5.  Infrequent MODS TB culture cross-contamination in a high-burden resource-poor setting.

Authors:  David A J Moore; Luz Caviedes; Robert H Gilman; Jorge Coronel; Fanny Arenas; Doris LaChira; Cayo Salazar; Juan Carlos Saravia; Richard A Oberhelman; Maria-Graciela Hollm-Delgado; A Roderick Escombe; Carlton A W Evans; Jon S Friedland
Journal:  Diagn Microbiol Infect Dis       Date:  2006-05-06       Impact factor: 2.803

Review 6.  Review of general algorithmic features for genome assemblers for next generation sequencers.

Authors:  Bilal Wajid; Erchin Serpedin
Journal:  Genomics Proteomics Bioinformatics       Date:  2012-06-09       Impact factor: 7.691
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.