Literature DB >> 15649536

Increased precision of microbial RNA quantification using NASBA with an internal control.

Stacey S Patterson1, Erica T Casper, Luis Garcia-Rubio, Matthew C Smith, John H Paul.   

Abstract

Detection and quantification of low abundance target RNA has wide utility in the fields of clinical diagnostics, environmental monitoring, gene expression analysis, and biodefense. Nucleic acid based sequence amplification (NASBA) is an isothermal amplification method that provides the sensitivity needed for these applications. However, the requirement for three separate enzymes in NASBA often results in a greater variability between replicate samples than that seen in PCR-based assays. To overcome this problem, we have adapted the bioMérieux Nuclisens Basic Kit and Nuclisens EasyQ Analyzer along with the introduction of a synthetic internal control RNA (IC-RNA) for quantification of potentially any RNA sequence. Using the rbcL gene from the Florida red tide organism Karenia brevis as our target, we describe a simple method to accurately quantify the native target by computing the ratio of the time to positivity (TTP) values for both the wild-type and IC-RNA, and plotting this ratio against the starting number of target molecules or cells. By utilizing this simple method, we have significantly increased our accuracy and precision of prediction over the standard TTP calculations.

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Year:  2005        PMID: 15649536     DOI: 10.1016/j.mimet.2004.10.011

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  7 in total

Review 1.  Atmospheric movement of microorganisms in clouds of desert dust and implications for human health.

Authors:  Dale W Griffin
Journal:  Clin Microbiol Rev       Date:  2007-07       Impact factor: 26.132

2.  SD-chip enabled quantitative detection of HIV RNA using digital nucleic acid sequence-based amplification (dNASBA).

Authors:  Jiasi Wang; Jason E Kreutz; Alison M Thompson; Yuling Qin; Allison M Sheen; Jingang Wang; Li Wu; Shihan Xu; Ming Chang; Dana N Raugi; Robert A Smith; Geoffrey S Gottlieb; Daniel T Chiu
Journal:  Lab Chip       Date:  2018-11-06       Impact factor: 6.799

3.  Multiple simultaneous detection of Harmful Algal Blooms (HABs) through a high throughput bead array technology, with potential use in phytoplankton community analysis.

Authors:  G Scorzetti; L E Brand; G L Hitchcock; K S Rein; C D Sinigalliano; J W Fell
Journal:  Harmful Algae       Date:  2009       Impact factor: 4.273

4.  Real-time nucleic acid sequence-based amplification to predict the clinical outcome of invasive aspergillosis.

Authors:  Si-Hyun Kim; Chulmin Park; Eun-Young Kwon; Na-Young Shin; Jae-Cheol Kwon; Sun Hee Park; Su-Mi Choi; Dong-Gun Lee; Jung-Hyun Choi; Jin-Hong Yoo
Journal:  J Korean Med Sci       Date:  2011-12-19       Impact factor: 2.153

5.  A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers.

Authors:  Melissa K Takahashi; Xiao Tan; Aaron J Dy; Dana Braff; Reid T Akana; Yoshikazu Furuta; Nina Donghia; Ashwin Ananthakrishnan; James J Collins
Journal:  Nat Commun       Date:  2018-08-21       Impact factor: 14.919

6.  Development of a quantitative real-time nucleic acid sequence-based amplification assay with an internal control using molecular beacon probes for selective and sensitive detection of human rhinovirus serotypes.

Authors:  Francesca Sidoti; Massimiliano Bergallo; Maria Elena Terlizzi; Elsa Piasentin Alessio; Sara Astegiano; Giorgio Gasparini; Rossana Cavallo
Journal:  Mol Biotechnol       Date:  2012-03       Impact factor: 2.695

Review 7.  Alternative molecular tests for virological diagnosis.

Authors:  Francesca Sidoti; Massimiliano Bergallo; Cristina Costa; Rossana Cavallo
Journal:  Mol Biotechnol       Date:  2013-03       Impact factor: 2.695

  7 in total

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