Microarrays for the Neurosciences: An Essential Guide
Daniel H. Geschwind, Jeffrey P. Gregg
MIT Press, 2002 - Medical - 332 pages
The effort to sequence the human genome has generated a new discipline, "functional genomics," or the study of the relationship between the genetic code and its biologic potential. Gene expression studies are made possible not only by the decoding of the human genome, but by the development of new technologies. The preeminent technology in this area, DNA microarrays, is helping to revolutionize the field of neuroscience. Rather than looking at one gene at a time, researchers using DNA microarrays can monitor the expression patterns of large numbers of genes simultaneously. Bridging the traditional gap between molecular neurobiology and systems neurobiology, DNA microarray technology has the potential to elevate molecular genetic studies of the nervous system to the system level.
This book provides a comprehensive guide to the use of DNA microarrays in neuroscience and provides approaches that are applicable to other complex biological systems. Human nervous system tissue is remarkably complex. The number of cell types, the architecture, the developmental program, and the importance of environmental factors in development and functioning all pose particular challenges to the researcher using gene expression studies. After an overview of the technology, the book discusses array scanning and image application, statistical methods for array analysis, specific applications of gene expression studies in the central nervous system, the use of postmortem human tissue, and novel methods for using microarray data to develop hypotheses about regulatory networks.
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Microarray Scanning and Data Acquisition
Microarray Image and Data Analysis
Statistical Inference in Array Genomics
CustomBuilt cDNA Arrays for the Study of Neuronal Differentiation
Development of Microarrays to Study Gene Expression in Tissue
Custom cDNA Microarrays Derived from Subtracted Libraries
Tracing Genetic Information Flow from Gene Expression to Pathways
Appendix A Informatics and Web Resources
Acad Sci USA Affymetrix aFNA amplification analysis of gene arrayer background pixels BDNF cDNA arrays clones cluster complex contamination Cy3 and Cy5 detection differentially expressed disease DNA microarray Eberwine experiments expressed genes expression analysis expression levels expression patterns expression profiling expression values figure filter fluorescent gene expression genome Geschwind hippocampus human hybridization identify kainate labeling large number laser linear measurements median method microarray images microdissection molecular mouse mRNA multiplex PCR Nat Genet Natl Acad Sci Neurochip neurons Neuroscience noise normalization Northern blot number of genes oligonucleotide optimal outliers pixels polymerase polymerase chain reaction primer probe arrays Proc Natl Acad protocol quantitative random error ratio receptor replicates reverse transcription RT-PCR sample scanner scanning Schena screening sequence Shannon entropy signal intensity signal pixels single cells solution spots statistical studies subtraction techniques tion tissue transcription variation