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Microarray Technology in Practice
Steve Russell, Lisa A. Meadows and Roslin R. Russell
Academic Press
January 2009
Softcover 464 pp ISBN 9780123725165
£30.00
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Using chips composed of thousands of spots, each with the capability of holding DNA
molecules corresponding to a given gene,
DNA microarray technology has enabled researchers to measure simultaneously gene
expression across he genome. As with other large-scale genomics approaches, microarray
technologies are broadly applicable across many disciplnes of life and biomedical science.
This guide is designed to de-mystify the technology and inform more biologists about this critically
important experimental technique.
Of interest to life science professionals and graduate students
Contents
1. What are microarrays? A. The basics 2. Designing and producing a microarray A.
Platform options B. Oligonucleotide design C. Whole genome or boutique arrays D.
The problems of multiple testing E. Array layout F. Quality assessment
3. Sample collection and labelling A. RNA extraction B. Quality assessment
C. Direct labelling techniques D. Indirect labelling techniques E. End labelling techniques
F. Amplification techniques G. Hybridization
4. Data acquisition A. Scanners B. Image acquisition
C. Multiple scans and data merging D. Finding spots E. Background measurement G. Quality control basics
5. Experimental Design and Data Normalisation A. Experimental design B. Why normalize?
C. Unwanted signal variation D. Common normalization approaches E. Data transformation
F. Dealing with €S€-shaped trends G. Replicates and spatial detrending H. Normalization of single channel arrays
6. Meta analysis A. Data filtering B. Screening for differentially expressed genes
C. Hierarchical clustering D. Other clustering techniques E. Components analysis F. Prediction tools
7. Data annotation, storage and submission A. Functional data annotation B. Microarray databases
C. Public repositories
8. Applications in health & disease A. Malaria € parasite expression B.
Cancer classification C. Diagnostic Arrays
9. It's not all gene expression A. ChIP-array B. CGH C. Protein arrays D. Cell arrays
To find similar publications, click on a keyword below:
DNA
: Elsevier
: analytical methods
: biochemistry
: genomics
: microarrays
: molecular biology
: technology
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