Cell and tissue microdissection in combination with genomic and proteomic applications

Stephen D. Ginsberg; Scott E. Hemby; Elliott J. Mufson; Lee J. Martin

doi:10.1007/0-387-28942-9_4

Cell and tissue microdissection in combination with genomic and proteomic applications

Stephen D. Ginsberg, Scott E. Hemby, Elliott J. Mufson, Lee J. Martin

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The combination of tissue microdissection protocols including discrete cell microaspiration and laser capture microdissection with high throughput gene expression profiling platforms such as cDNA microarrays and oligonucleotide microarrays enables the simultaneous assessment of many individual elements from a single cell or a population of homogeneous cells. This chapter outlines in detail the theoretical and practical background for selecting the appropriate tissues and conditions amenable to expression profiling. In addition, this report illustrates the usage of microdissection strategies and RNA amplification methodologies in concert with array technologies using tissues harvested from the central nervous system obtained from animal models of neurodegeneration and postmortem human brain tissues.

Original language	English (US)
Title of host publication	Neuroanatomical Tract-Tracing 3
Subtitle of host publication	Molecules, Neurons, and Systems
Publisher	Springer US
Pages	109-141
Number of pages	33
ISBN (Electronic)	9780387289427
ISBN (Print)	0387289410, 9780387289410
DOIs	https://doi.org/10.1007/0-387-28942-9_4
State	Published - Jan 1 2006

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Keywords

RNA amplification
SELDI-TOF
brain
expression profiling
laser capture microdissection
microarray
molecular fingerprint

ASJC Scopus subject areas

Medicine(all)
Neuroscience(all)

Cite this

Ginsberg, S. D., Hemby, S. E., Mufson, E. J., & Martin, L. J. (2006). Cell and tissue microdissection in combination with genomic and proteomic applications. In Neuroanatomical Tract-Tracing 3: Molecules, Neurons, and Systems (pp. 109-141). Springer US. https://doi.org/10.1007/0-387-28942-9_4

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Access to Document

10.1007/0-387-28942-9_4