Literature DB >> 24796567

Demonstrating a multi-drug resistant Mycobacterium tuberculosis amplification microarray.

Yvonne Linger1, Alexander Kukhtin1, Julia Golova1, Alexander Perov1, Peter Qu1, Christopher Knickerbocker1, Christopher G Cooney1, Darrell P Chandler2.   

Abstract

Simplifying microarray workflow is a necessary first step for creating MDR-TB microarray-based diagnostics that can be routinely used in lower-resource environments. An amplification microarray combines asymmetric PCR amplification, target size selection, target labeling, and microarray hybridization within a single solution and into a single microfluidic chamber. A batch processing method is demonstrated with a 9-plex asymmetric master mix and low-density gel element microarray for genotyping multi-drug resistant Mycobacterium tuberculosis (MDR-TB). The protocol described here can be completed in 6 hr and provide correct genotyping with at least 1,000 cell equivalents of genomic DNA. Incorporating on-chip wash steps is feasible, which will result in an entirely closed amplicon method and system. The extent of multiplexing with an amplification microarray is ultimately constrained by the number of primer pairs that can be combined into a single master mix and still achieve desired sensitivity and specificity performance metrics, rather than the number of probes that are immobilized on the array. Likewise, the total analysis time can be shortened or lengthened depending on the specific intended use, research question, and desired limits of detection. Nevertheless, the general approach significantly streamlines microarray workflow for the end user by reducing the number of manually intensive and time-consuming processing steps, and provides a simplified biochemical and microfluidic path for translating microarray-based diagnostics into routine clinical practice.

Entities:  

Mesh:

Year:  2014        PMID: 24796567      PMCID: PMC4027031          DOI: 10.3791/51256

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  34 in total

1.  New diagnostics for tuberculosis: fulfilling patient needs first.

Authors:  Jean-François Lemaire; Martina Casenghi
Journal:  J Int AIDS Soc       Date:  2010-10-25       Impact factor: 5.396

2.  Use of sloppy molecular beacon probes for identification of mycobacterial species.

Authors:  Hiyam H El-Hajj; Salvatore A E Marras; Sanjay Tyagi; Elena Shashkina; Mini Kamboj; Timothy E Kiehn; Michael S Glickman; Fred Russell Kramer; David Alland
Journal:  J Clin Microbiol       Date:  2009-01-26       Impact factor: 5.948

3.  Nonvolatile copolymer compositions for fabricating gel element microarrays.

Authors:  Julia B Golova; Boris K Chernov; Alexander N Perov; Jennifer Reynolds; Yvonne L Linger; Alexander Kukhtin; Darrell P Chandler
Journal:  Anal Biochem       Date:  2011-10-05       Impact factor: 3.365

4.  The diagnostic performance of the GenoType MTBDRplus version 2 line probe assay is equivalent to that of the Xpert MTB/RIF assay.

Authors:  M Barnard; N C Gey van Pittius; P D van Helden; M Bosman; G Coetzee; R M Warren
Journal:  J Clin Microbiol       Date:  2012-09-12       Impact factor: 5.948

5.  Molecular detection of drug-resistant Mycobacterium tuberculosis with a scanning-frame oligonucleotide microarray.

Authors:  Dmitriy V Volokhov; Vladimir E Chizhikov; Steven Denkin; Ying Zhang
Journal:  Methods Mol Biol       Date:  2009

6.  A plastic, disposable microfluidic flow cell for coupled on-chip PCR and microarray detection of infectious agents.

Authors:  Christopher G Cooney; David Sipes; Nitu Thakore; Rebecca Holmberg; Phillip Belgrader
Journal:  Biomed Microdevices       Date:  2012-02       Impact factor: 2.838

7.  The TDR Tuberculosis Strain Bank: a resource for basic science, tool development and diagnostic services.

Authors:  V Vincent; L Rigouts; E Nduwamahoro; B Holmes; J Cunningham; M Guillerm; C-M Nathanson; F Moussy; B De Jong; F Portaels; A Ramsay
Journal:  Int J Tuberc Lung Dis       Date:  2012-01       Impact factor: 2.373

8.  Detection of rpoB, katG and inhA gene mutations in Mycobacterium tuberculosis clinical isolates from Chongqing as determined by microarray.

Authors:  C Yao; T Zhu; Y Li; L Zhang; B Zhang; J Huang; W Fu
Journal:  Clin Microbiol Infect       Date:  2010-11       Impact factor: 8.067

9.  Gene chip array for differentiation of mycobacterial species and detection of drug resistance.

Authors:  Xiao-chun Shi; Xiao-qing Liu; Xiu-li Xie; Ying-chun Xu; Zhi-xian Zhao
Journal:  Chin Med J (Engl)       Date:  2012-09       Impact factor: 2.628

10.  Rapid detection of rpoB gene mutations in rif-resistant M. tuberculosis isolates by oligonucleotide microarray.

Authors:  Ai-Hua Sun; Xing-Li Fan; Li-Wei Li; Li-Fang Wang; Wen-Ying Ans; Jie Yan
Journal:  Biomed Environ Sci       Date:  2009-06       Impact factor: 3.118

View more
  4 in total

1.  Simplified microarray system for simultaneously detecting rifampin, isoniazid, ethambutol, and streptomycin resistance markers in Mycobacterium tuberculosis.

Authors:  Yvonne Linger; Alexander Kukhtin; Julia Golova; Alexander Perov; Amine Lambarqui; Lexi Bryant; George B Rudy; Kim Dionne; Stefanie L Fisher; Nicole Parrish; Darrell P Chandler
Journal:  J Clin Microbiol       Date:  2014-04-09       Impact factor: 5.948

2.  Laboratory Evaluation of a Lateral-Flow Cell for Molecular Detection of First-Line and Second-Line Antituberculosis Drug Resistance.

Authors:  Donald G Catanzaro; Rebecca E Colman; Yvonne Linger; Sophia B Georghiou; Alexander V Kukhtin; Marva Seifert; Rebecca C Holmberg; Haifa Mshaiel; Peter Chiles; Naomi Hillery; Christopher G Cooney; Timothy C Rodwell
Journal:  J Clin Microbiol       Date:  2020-10-21       Impact factor: 5.948

3.  Performance and workflow assessment of six nucleic acid extraction technologies for use in resource limited settings.

Authors:  Shivani G Beall; Jason Cantera; Maureen H Diaz; Jonas M Winchell; Lorraine Lillis; Heather White; Michael Kalnoky; James Gallarda; David S Boyle
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

4.  Assessment of eight nucleic acid amplification technologies for potential use to detect infectious agents in low-resource settings.

Authors:  Jason L Cantera; Heather White; Maureen H Diaz; Shivani G Beall; Jonas M Winchell; Lorraine Lillis; Michael Kalnoky; James Gallarda; David S Boyle
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.