TY - JOUR
T1 - The complexity of the mammalian transcriptome
AU - Gustincich, Stefano
AU - Sandelin, Albin
AU - Plessy, Charles
AU - Katayama, Shintaro
AU - Simone, Roberto
AU - Lazarevic, Dejan
AU - Hayashizaki, Yoshihide
AU - Carninci, Piero
PY - 2006/9
Y1 - 2006/9
N2 - 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, cap-analysis gene expression (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. 2006 The Authors. Journal compilation
AB - 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, cap-analysis gene expression (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. 2006 The Authors. Journal compilation
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U2 - 10.1113/jphysiol.2006.115568
DO - 10.1113/jphysiol.2006.115568
M3 - Article
C2 - 16857706
AN - SCOPUS:33747712023
SN - 0022-3751
VL - 575
SP - 321
EP - 332
JO - Journal of Physiology
JF - Journal of Physiology
IS - 2
ER -