English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Development of high-throughput tools to unravel the complexity of gene expression patterns in the mammalian brain.

Herzig, U., Cadenas, C., Sieckmann, F., Sierralta, W., Thaller, C., Visel, A., et al. (2001). Development of high-throughput tools to unravel the complexity of gene expression patterns in the mammalian brain. In G. Bock, & J. Goode (Eds.), Complexity in Biological Information Processing (pp. 129-149). Chicester: John Wiley and Sons.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-2583-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-C497-1
Genre: Book Chapter

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Herzig, U., Author
Cadenas, C., Author
Sieckmann, F., Author
Sierralta, W., Author
Thaller, C., Author
Visel, A., Author
Eichele, G.1, Author              
Affiliations:
1Department of Molecular Embryology, Max Planck Institute for Experimental Endocrinology, Max Planck Society, ou_1565140              

Content

show
hide
Free keywords: -
 Abstract: Genomes of animals contain between 15 000 (e.g. Drosophila) and 50 000 (human, mouse) genes, many of which encode proteins involved in regulatory processes. The availability of sequence data for many of these genes opens up opportunities to study complex genetic and protein interactions that underlie biological regulation. Many examples demonstrate that an understanding of regulatory networks consisting of multiple components is significantly advanced by a detailed knowledge of the spatiotemporal expression pattern of each of the components. Gene expression patterns can readily be determined by RNA in situ hybridization. The unique challenge emerging from the knowledge of the sequence of entire genomes is that assignment of biological functions to genes needs to be carried out on an appropriately large scale. In terms of gene expression analysis by RNA insitu hybridization, efficient technologies need to be developed that permit determination and representation of expression patterns of thousands of genes within an acceptable time-scale. We set out to determine the spatial expression pattern of several thousand genes encoding putative regulatory proteins. To achieve this goal we have developed high-throughput technologies that allow the determination and visualization of gene expression patterns by RNA in situ hybridization on tissue sections at cellular resolution. In particular, we have invented instrumentation for robotic in situ hybridization capable of carrying out in a fully automated fashion, all steps required for detecting sites of gene expression in tissue sections. In addition, we have put together hardware and software for automated microscopic scanning of gene expression data that are produced by RNA in situ hybridization. The potential and limitations of these techniques ind out efforts to build a Web-based database of gene expression patterns are discussed.

Details

show
hide
Language(s): eng - English
 Dates: 2001
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: ISBN: 0-471-49832-7
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Complexity in Biological Information Processing
  Alternative Title : Novartis Foundation Symposium
Source Genre: Book
 Creator(s):
Bock, G., Editor
Goode, J., Editor
Affiliations:
-
Publ. Info: Chicester : John Wiley and Sons
Pages: - Volume / Issue: 239 Sequence Number: - Start / End Page: 129 - 149 Identifier: -