Literature DB >> 15884677

Taking arrays from the lab to the field: trying to make sense of the unknown.

Darrell P Chandler1, Ann E Jarrell.   

Abstract

With the rapid pace of nucleic acid microarray technology development and a renewed national emphasis on detecting and characterizing microorganisms in environmental samples, there is a rush to operationalize existing microarray technologies and apply them to uncharacterized environmental backgrounds. The purpose of this article is to pause and ask a basic question: what do microarray data actually mean in the face of uncharacterized sample backgrounds? In attempting to answer this question, we draw a clear distinction between hypothesis-driven fundamental science and operational uses of microarray technology; assess microarray technology assumptions in the face of uncharacterized environments; offer an environmental microbiologist's perspective on technology needs and requirements for quantitatively analyzing microbial communities; and hopefully stimulate a scientific and technical dialogue around the concept of analytical environmental microbiology and future technology development.

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Year:  2005        PMID: 15884677     DOI: 10.2144/05384PS01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  6 in total

1.  Identification of non-specific hybridization using an empirical equation fitted to non-equilibrium dissociation curves.

Authors:  Samuel W Baushke; Robert D Stedtfeld; Dieter M Tourlousse; Farhan Ahmad; Lukas M Wick; Erdogan Gulari; James M Tiedje; Syed A Hashsham
Journal:  J Microbiol Methods       Date:  2012-04-17       Impact factor: 2.363

2.  Suspension array analysis of 16S rRNA from Fe- and SO(4)2- reducing bacteria in uranium-contaminated sediments undergoing bioremediation.

Authors:  Darrell P Chandler; Ann E Jarrell; Eric R Roden; Julia Golova; Boris Chernov; Matthew J Schipma; Aaron D Peacock; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

3.  Profiling in situ microbial community structure with an amplification microarray.

Authors:  Darrell P Chandler; Christopher Knickerbocker; Lexi Bryant; Julia Golova; Cory Wiles; Kenneth H Williams; Aaron D Peacock; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2012-11-16       Impact factor: 4.792

4.  High-density universal 16S rRNA microarray analysis reveals broader diversity than typical clone library when sampling the environment.

Authors:  Todd Z DeSantis; Eoin L Brodie; Jordan P Moberg; Ingrid X Zubieta; Yvette M Piceno; Gary L Andersen
Journal:  Microb Ecol       Date:  2007-03-02       Impact factor: 4.192

5.  Microarray analysis using disiloxyl 70mer oligonucleotides.

Authors:  Marcus Gry Björklund; Christian Natanaelsson; Amelie Eriksson Karlström; Yong Hao; Joakim Lundeberg
Journal:  Nucleic Acids Res       Date:  2008-01-10       Impact factor: 16.971

6.  On-chip non-equilibrium dissociation curves and dissociation rate constants as methods to assess specificity of oligonucleotide probes.

Authors:  Lukas M Wick; Jean Marie Rouillard; Thomas S Whittam; Erdogan Gulari; James M Tiedje; Syed A Hashsham
Journal:  Nucleic Acids Res       Date:  2006-02-13       Impact factor: 16.971

  6 in total

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