Microarray Technology in Practice
Published on 21. November 2008
464 pages
978-0-08-091976-8 (ISBN)
Description
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 the genome. As with other large-scale genomics approaches, microarray technologies are broadly applicable across disciplines of life and biomedical sciences, but remain daunting to many researchers. This guide is designed to demystify the technology and inform more biologists about this critically important experimental technique.
- Cohesive overview of the technology and available platforms, followed by detailed discussion of experimental design and analysis of microarray experiments
- Up-to-date description of normalization methods and current methods for sample amplification and labeling
- Deep focus on oligonucleotide design, printing, labeling and hybridization, data acquisition, normalization, and meta-analysis
- Additional uses of microarray technology such as ChIP (chromatin immunoprecipitation) with hybridization to DNA arrays, microarray-based comparative genomic hybridization (CGH), and cell and tissue arrays
More details
Language
English
Place of publication
San Diego
United States
Product notice
Windows
ISBN-13
978-0-08-091976-8 (9780080919768)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Steve Russell | Lisa A. Meadows | Roslin R. Russell
Microarray Technology in Practice
Book
11/2008
Academic Press
€65.00
Shipment within 15-20 days
Content
Contents1. What are microarrays?A. The basics2. Designing and producing a microarrayA. Platform optionsB. Oligonucleotide designC. Whole genome or boutique arraysD. The problems of multiple testingE. Array layoutF. Quality assessment3. Sample collection and labellingA. RNA extractionB. Quality assessmentC. Direct labelling techniquesD. Indirect labelling techniquesE. End labelling techniquesF. Amplification techniquesG. Hybridization4. Data acquisitionA. Scanners B. Image acquisitionC. Multiple scans and data mergingD. Finding spotsE. Background measurementG. Quality control basics5. Experimental Design and Data NormalisationA. Experimental designB. Why normalize?C. Unwanted signal variationD. Common normalization approachesE. Data transformationF. Dealing with 'S'-shaped trendsG. Replicates and spatial detrendingH. Normalization of single channel arrays6. Meta analysisA. Data filteringB. Screening for differentially expressed genesC. Hierarchical clusteringD. Other clustering techniquesE. Components analysisF. Prediction tools7. Data annotation, storage and submissionA. Functional data annotation B. Microarray databasesC. Public repositories8. Applications in health & diseaseA. Malaria - parasite expressionB. Cancer classificationC. Diagnostic Arrays9. It's not all gene expressionA. ChIP-arrayB. CGHC. Protein arraysD. Cell arrays
