Literature DB >> 18337080

Quantitative oligonucleotide microarray data analysis with an artificial standard probe strategy.

Byeong Hee Hwang1, Hyung Joon Cha.   

Abstract

Quantitative data analysis is an important element in several applications of DNA microarray, including mRNA expression profiling and estimation of infectious doses for pathogens. Here, we introduce an artificial standard probe strategy for quantitative pathogen detection using an oligonucleotide chip as a model system. The standard capture probe sequence was artificially designed to prevent non-specific hybridization with bacterial targets. Based on the fluorescence intensities of artificial standard spots, the raw fluorescence intensity data for specific spots could be corrected to generate linear correlations with target concentrations. Therefore, our novel artificial standard probe may be effectively applied for the correction of chip-to-chip variations and quantitative data analysis of a one-color labeled DNA microarray system.

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Year:  2008        PMID: 18337080     DOI: 10.1016/j.bios.2008.01.024

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

1.  Specific discrimination of three pathogenic Salmonella enterica subsp. enterica serotypes by carB-based oligonucleotide microarray.

Authors:  Hwa Hui Shin; Byeong Hee Hwang; Jeong Hyun Seo; Hyung Joon Cha
Journal:  Appl Environ Microbiol       Date:  2013-11-01       Impact factor: 4.792

2.  Multiplex 16S rRNA-derived geno-biochip for detection of 16 bacterial pathogens from contaminated foods.

Authors:  Hwa Hui Shin; Byeong Hee Hwang; Hyung Joon Cha
Journal:  Biotechnol J       Date:  2016-09-06       Impact factor: 4.677

  2 in total

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