Literature DB >> 16893517

Analysis of hybridization on the molecular barcode GeneChip microarray.

S Patrick Walton1, Michael N Mindrinos, Ronald W Davis.   

Abstract

Microarrays have been developed for analysis of transcriptional profiles in many organisms. For experimental simplicity and systems for which microarrays do not exist, it would be desirable to use a standard microarray platform for the analysis of multiple systems. The molecular barcode (MB) Affymetrix GeneChip could serve as such a platform. The reproducibility and quantitative capacity of the MB GeneChip were examined. Using mixed PCR templates of defined template quantity, the individual concentration responses of 384 array features were measured and shown to be highly reproducible. Moreover, the binding behaviors of the mismatched array features mirror those of the matched features, at reduced intensity. Additional analysis defined the importance of particular sequence motifs in the prediction of high-affinity and low-affinity target hybridization. The data support the future application of MB GeneChips for quantitative applications. It is proposed that at least seven orders-of-magnitude in accurate concentration sensitivity could be achieved.

Mesh:

Year:  2006        PMID: 16893517     DOI: 10.1016/j.bbrc.2006.07.108

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  4 in total

1.  Development of a dual-aptamer-based multiplex protein biosensor.

Authors:  Shengnan Xie; S Patrick Walton
Journal:  Biosens Bioelectron       Date:  2010-05-04       Impact factor: 10.618

2.  Application and analysis of structure-switching aptamers for small molecule quantification.

Authors:  Shengnan Xie; S Patrick Walton
Journal:  Anal Chim Acta       Date:  2009-02-21       Impact factor: 6.558

3.  Peptide nucleic acid-based array for detecting and genotyping human papillomaviruses.

Authors:  Jae-jin Choi; Chunhee Kim; Heekyung Park
Journal:  J Clin Microbiol       Date:  2009-04-15       Impact factor: 5.948

4.  Normalized Affymetrix expression data are biased by G-quadruplex formation.

Authors:  Hugh P Shanahan; Farhat N Memon; Graham J G Upton; Andrew P Harrison
Journal:  Nucleic Acids Res       Date:  2011-12-22       Impact factor: 16.971

  4 in total

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