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First published online on July 20, 2006.
Copyright © 2006 by The Physiological Society
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jphysiol.2006.115568v1
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Received June 19, 2006
Revised June 29, 2006
Accepted after revision July 13, 2006

The complexity of the mammalian transcriptome

Stefano Gustincich1, Albin Sandelin2, Charles Plessy3, Shintaro Katayama2, Roberto Simone1, Dejan Lazarevic1, Yoshihide Hayashizaki4, and Piero Carninci4*

1 Sector of Neurobiology, SISSA; The Giovanni Armenise-Harvard Foundation Laboratory
2 Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC)
3 Genome Science Laboratory, RIKEN WAKO Institute
4 Genome Science Laboratory, RIKEN Wako Institute; Genomic Sciences Center, RIKEN Yokohama Institute

* To whom correspondence should be addressed. E-mail: carninci{at}riken.jp.

A comprehensive understanding of protein and regulatory networks is strictly dependent on the complete description of the transcriptome of cells. After the determination of the genome sequence of several mammalian species, gene identification is based on in silico predictions followed by evidence of transcription. Conservative estimates suggest that there are about 20,000 protein-encoding genes in the mammalian genome. In the last few years the combination of full-length cDNA cloning, CAGE tag sequencing and tiling arrays experiments have unveiled unexpected additional complexities in the transcriptome. Here we describe the current view of the mammalian transcriptome focusing on transcripts diversity, the growing non-coding RNA world, the organization of transcriptional units in the genome and promoter structures. In-depth analysis of the brain transcriptome has been challenging due to the cellular complexity of this organ. Here we present a computational analysis of CAGE data from different regions of the central nervous system, suggesting distinctive mechanisms of brain-specific transcription.


Key words: Gene expression




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