A method for automated detection of gene expression required for the 
establishment of a digital transcriptome-wide gene expression atlas.

Carson, J.; Eichele, G.; Chiu, W.

doi:10.1111/j.1365-2818.2005.01450.x

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

A method for automated detection of gene expression required for the establishment of a digital transcriptome-wide gene expression atlas.

MPS-Authors

/persons/resource/persons15030

Eichele, G.
Department of Molecular Embryology, Max Planck Institute for Experimental Endocrinology, Max Planck Society;

External Resource

http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2818.2005.01450.x/pdf
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Carson, J., Eichele, G., & Chiu, W. (2005). A method for automated detection of gene expression required for the establishment of a digital transcriptome-wide gene expression atlas. Journal of Microscopy-Oxford, 217(3), 275-281. doi:10.1111/j.1365-2818.2005.01450.x.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-234D-5

Abstract

Acquiring information about the expression of a gene in different cell populations and tissues can provide key insight into the function of the gene. A high-throughput in situ hybridization (ISH) method was recently developed for rapid and reproducible acquisition of gene expression patterns in serial tissue sections at cellular resolution. Characterizing and analysing expression patterns on thousands of sections requires efficient methods for locating cells and estimating the level of expression in each cell. Such cellular quantification is an essential step in both annotating and quantitatively comparing high-throughput ISH results. Here we describe a novel automated and efficient methodology for performing this quantification on postnatal mouse brain.