Literature DB >> 16939787

Scanning microarrays: current methods and future directions.

Jerilyn A Timlin1.   

Abstract

The microarray platform is a powerful tool for conducting large-scale, high-throughput gene expression experiments. However, careful attention to detail throughout the five major steps in the microarray process--design, printing, hybridization, scanning, and analysis--must be used to ensure that reliable and accurate conclusions are obtained from data. The act of scanning the array has received the least attention of all parts of the microarray process, despite it being a critical quality-limiting component. This chapter specifically addresses the effects of scan parameters and limitations of the scanning technology divided into two categories: instrumentation effects (those that arise from the scanning instrumentation itself) and user-controller parameters (those that an operator chooses) for the most common microarray platform--the two-color cDNA microarray printed on a glass substrate. Significant research efforts have gone into developing microarray analysis techniques, but the field is ripe for research to characterize the variability and errors introduced by the scanning process itself, the scanner instrumentation, and the user. Implications of these errors for large-scale, multiple slide and multiple laboratory experiments are discussed. Wise choices for scanning parameters and consideration of instrument specifics will ultimately increase data reliability and reduce the need for complex preprocessing mechanisms prior to the extraction of expression information. In addition, emerging technologies such as surface plasmon imaging, resonance light scattering, and hyperspectral imaging are presented briefly as promising, complementary techniques to traditional scanning methods.

Mesh:

Year:  2006        PMID: 16939787     DOI: 10.1016/S0076-6879(06)11006-X

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  6 in total

1.  Multiplexed spectral signature detection for microfluidic color-coded bioparticle flow.

Authors:  Nien-Tsu Huang; Steven C Truxal; Yi-Chung Tung; Amy Y Hsiao; Gary D Luker; Shuichi Takayama; Katsuo Kurabayashi
Journal:  Anal Chem       Date:  2010-10-27       Impact factor: 6.986

Review 2.  Review of the literature examining the correlation among DNA microarray technologies.

Authors:  Carole L Yauk; M Lynn Berndt
Journal:  Environ Mol Mutagen       Date:  2007-06       Impact factor: 3.216

3.  Evaluation of quantum dot immunofluorescence and a digital CMOS imaging system as an alternative to conventional organic fluorescence dyes and laser scanning for quantifying protein microarrays.

Authors:  Aarti Jain; Omid Taghavian; Derek Vallejo; Emmanuel Dotsey; Dan Schwartz; Florian G Bell; Chad Greef; D Huw Davies; Jennipher Grudzien; Abraham P Lee; Philip L Felgner; Li Liang
Journal:  Proteomics       Date:  2016-03-29       Impact factor: 3.984

4.  Evaluating single molecule detection methods for microarrays with high dynamic range for quantitative single cell analysis.

Authors:  Ali Salehi-Reyhani
Journal:  Sci Rep       Date:  2017-12-20       Impact factor: 4.379

Review 5.  Improved filtering of DNA methylation microarray data by detection p values and its impact on downstream analyses.

Authors:  Jonathan A Heiss; Allan C Just
Journal:  Clin Epigenetics       Date:  2019-01-24       Impact factor: 6.551

6.  Characterisation and correction of signal fluctuations in successive acquisitions of microarray images.

Authors:  Annie Glatigny; Hervé Delacroix; Thomas Tang; Nicolas François; Lawrence Aggerbeck; Marie-Hélène Mucchielli-Giorgi
Journal:  BMC Bioinformatics       Date:  2009-03-30       Impact factor: 3.169

  6 in total

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