Literature DB >> 16266686

Optimization of fragmentation conditions for microarray analysis of viral RNA.

Martin Mehlmann1, Michael B Townsend, Robin L Stears, Robert D Kuchta, Kathy L Rowlen.   

Abstract

An important consideration in microarray analysis of nucleic acids is the efficiency with which the target molecule is captured by, or hybridized to, surface-immobilized oligos. For RNA, secondary and tertiary structure of the target strand can significantly decrease capture efficiency. To overcome this limitation, RNA is often fragmented to reduce structural effects. In this study, the metal ion-catalyzed base hydrolysis fragmentation conditions for viral RNA extracted from influenza viruses were evaluated and the hybridization efficiency of the resulting fragments was determined as a function of fragment length. The amount of RNA captured was evaluated qualitatively by fluorescence intensity normalized to an internal standard. Optimized conditions for influenza RNA were determined to include a fragmentation time of 20-30 min at 75 degrees C. These conditions resulted in a maximum concentration of fragments between 38 and 150 nt in length and a maximum in the capture and label efficiency.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16266686     DOI: 10.1016/j.ab.2005.09.036

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  12 in total

1.  Effects of target length on the hybridization efficiency and specificity of rRNA-based oligonucleotide microarrays.

Authors:  Wen-Tso Liu; Huiling Guo; Jer-Horng Wu
Journal:  Appl Environ Microbiol       Date:  2006-10-27       Impact factor: 4.792

2.  Experimental evaluation of the FluChip diagnostic microarray for influenza virus surveillance.

Authors:  Michael B Townsend; Erica D Dawson; Martin Mehlmann; James A Smagala; Daniela M Dankbar; Chad L Moore; Catherine B Smith; Nancy J Cox; Robert D Kuchta; Kathy L Rowlen
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

3.  Comparison of the MChip to viral culture, reverse transcription-PCR, and the QuickVue influenza A+B test for rapid diagnosis of influenza.

Authors:  Martin Mehlmann; Aleta B Bonner; John V Williams; Daniela M Dankbar; Chad L Moore; Robert D Kuchta; Amy B Podsiad; John D Tamerius; Erica D Dawson; Kathy L Rowlen
Journal:  J Clin Microbiol       Date:  2007-02-14       Impact factor: 5.948

4.  Diagnostic microarray for influenza B viruses.

Authors:  Daniela M Dankbar; Erica D Dawson; Martin Mehlmann; Chad L Moore; James A Smagala; Michael W Shaw; Nancy J Cox; Robert D Kuchta; Kathy L Rowlen
Journal:  Anal Chem       Date:  2007-03-01       Impact factor: 6.986

5.  Gene expression profiling in the aging ovary.

Authors:  Kathleen M Eyster; John D Brannian
Journal:  Methods Mol Biol       Date:  2009

6.  Technology development to explore the relationship between oral health and the oral microbial community.

Authors:  E Michelle L Starke; James C Smoot; Laura M Smoot; Wen-Tso Liu; Darrell P Chandler; Hyun H Lee; David A Stahl
Journal:  BMC Oral Health       Date:  2006-06-15       Impact factor: 2.757

7.  MChip, a low density microarray, differentiates among seasonal human H1N1, North American swine H1N1, and the 2009 pandemic H1N1.

Authors:  Gary L Heil; Troy McCarthy; Kyoung-Jin Yoon; Siyuan Liu; Magdi D Saad; Catherine B Smith; Julie A Houck; Erica D Dawson; Kathy L Rowlen; Gregory C Gray
Journal:  Influenza Other Respir Viruses       Date:  2010-11       Impact factor: 4.380

8.  Effect of Target Length on Specificity and Sensitivity of Oligonucleotide Microarrays: A Comparison between Dendrimer and Modified PCR based Labelling Methods.

Authors:  Abdullah Gibriel
Journal:  Open Biochem J       Date:  2014-01-24

9.  Information Limited Oligonucleotide Amplification Assay for Affinity-Based, Parallel Detection Studies.

Authors:  Harish Bokkasam; Albrecht Ott
Journal:  PLoS One       Date:  2016-03-15       Impact factor: 3.240

10.  Electrostatic melting in a single-molecule field-effect transistor with applications in genomic identification.

Authors:  Sefi Vernick; Scott M Trocchia; Steven B Warren; Erik F Young; Delphine Bouilly; Ruben L Gonzalez; Colin Nuckolls; Kenneth L Shepard
Journal:  Nat Commun       Date:  2017-05-18       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.