The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains

Huib N. Caron(Emma Kinderziekenhuis), Barbera D. C. van Schaik(Bioinformatics Institute), M. van der Mee(Bioinformatics Institute), Frank Baas, Gregory J. Riggins(Duke University), Peter van Sluis, Marie-Christine Hermus, Ronald van Asperen, Kathy Boon, P. A. Voûte(Emma Kinderziekenhuis), Siem H. Heisterkamp(Amsterdam UMC Location University of Amsterdam), Antoine H. C. van Kampen(Bioinformatics Institute), Rogier Versteeg
Science
February 16, 2001
Cited by 726

Abstract

The chromosomal position of human genes is rapidly being established. We integrated these mapping data with genome-wide messenger RNA expression profiles as provided by SAGE (serial analysis of gene expression). Over 2.45 million SAGE transcript tags, including 160,000 tags of neuroblastomas, are presently known for 12 tissue types. We developed algorithms to assign these tags to UniGene clusters and their chromosomal position. The resulting Human Transcriptome Map generates gene expression profiles for any chromosomal region in 12 normal and pathologic tissue types. The map reveals a clustering of highly expressed genes to specific chromosomal regions. It provides a tool to search for genes that are overexpressed or silenced in cancer.


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