Literature DB >> 16857706

The complexity of the mammalian transcriptome.

Stefano Gustincich1, Albin Sandelin, Charles Plessy, Shintaro Katayama, Roberto Simone, Dejan Lazarevic, Yoshihide Hayashizaki, Piero Carninci.   

Abstract

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.

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Year:  2006        PMID: 16857706      PMCID: PMC1819450          DOI: 10.1113/jphysiol.2006.115568

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  44 in total

Review 1.  Confronting complexity: strategies for understanding the microcircuitry of the retina.

Authors:  R H Masland; E Raviola
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

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Authors:  Philipp Kapranov; Simon E Cawley; Jorg Drenkow; Stefan Bekiranov; Robert L Strausberg; Stephen P A Fodor; Thomas R Gingeras
Journal:  Science       Date:  2002-05-03       Impact factor: 47.728

3.  Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.

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Journal:  Nature       Date:  2002-12-05       Impact factor: 49.962

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Journal:  Nature       Date:  2002-12-05       Impact factor: 49.962

5.  Antisense transcripts with FANTOM2 clone set and their implications for gene regulation.

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Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

6.  Targeting a complex transcriptome: the construction of the mouse full-length cDNA encyclopedia.

Authors:  Piero Carninci; Kazunori Waki; Toshiyuki Shiraki; Hideaki Konno; Kazuhiro Shibata; Masayoshi Itoh; Katsunori Aizawa; Takahiro Arakawa; Yoshiyuki Ishii; Daisuke Sasaki; Hidemasa Bono; Shinji Kondo; Yuichi Sugahara; Rintaro Saito; Naoki Osato; Shiro Fukuda; Kenjiro Sato; Akira Watahiki; Tomoko Hirozane-Kishikawa; Mari Nakamura; Yuko Shibata; Ayako Yasunishi; Noriko Kikuchi; Atsushi Yoshiki; Moriaki Kusakabe; Stefano Gustincich; Kirk Beisel; William Pavan; Vassilis Aidinis; Akira Nakagawara; William A Held; Hiroo Iwata; Tomohiro Kono; Hiromitsu Nakauchi; Paul Lyons; Christine Wells; David A Hume; Michela Fagiolini; Takao K Hensch; Michelle Brinkmeier; Sally Camper; Junji Hirota; Peter Mombaerts; Masami Muramatsu; Yasushi Okazaki; Jun Kawai; Yoshihide Hayashizaki
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

7.  Impact of alternative initiation, splicing, and termination on the diversity of the mRNA transcripts encoded by the mouse transcriptome.

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Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

8.  Gene discovery in genetically labeled single dopaminergic neurons of the retina.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-26       Impact factor: 11.205

9.  Widespread occurrence of antisense transcription in the human genome.

Authors:  Rodrigo Yelin; Dvir Dahary; Rotem Sorek; Erez Y Levanon; Orly Goldstein; Avi Shoshan; Alex Diber; Sharon Biton; Yael Tamir; Rami Khosravi; Sergey Nemzer; Elhanan Pinner; Shira Walach; Jeanne Bernstein; Kinneret Savitsky; Galit Rotman
Journal:  Nat Biotechnol       Date:  2003-03-17       Impact factor: 54.908

10.  Antisense transcripts in the human genome.

Authors:  Ben Lehner; Gary Williams; R Duncan Campbell; Christopher M Sanderson
Journal:  Trends Genet       Date:  2002-02       Impact factor: 11.639

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  43 in total

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Authors:  Xiangting Wang; Xiaoyuan Song; Christopher K Glass; Michael G Rosenfeld
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-01-01       Impact factor: 10.005

Review 2.  MiR-34 and MiR-200: Regulator of Cell Fate Plasticity and Neural Development.

Authors:  Abhishek Jauhari; Sanjay Yadav
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3.  The mammalian transcriptome and the cellular complexity of the brain.

Authors:  Enrico Cherubini; S Gustincich; H Robinson
Journal:  J Physiol       Date:  2006-08-03       Impact factor: 5.182

4.  Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE.

Authors:  Eivind Valen; Giovanni Pascarella; Alistair Chalk; Norihiro Maeda; Miki Kojima; Chika Kawazu; Mitsuyoshi Murata; Hiromi Nishiyori; Dejan Lazarevic; Dario Motti; Troels Torben Marstrand; Man-Hung Eric Tang; Xiaobei Zhao; Anders Krogh; Ole Winther; Takahiro Arakawa; Jun Kawai; Christine Wells; Carsten Daub; Matthias Harbers; Yoshihide Hayashizaki; Stefano Gustincich; Albin Sandelin; Piero Carninci
Journal:  Genome Res       Date:  2008-12-11       Impact factor: 9.043

5.  Defining diversity, specialization, and gene specificity in transcriptomes through information theory.

Authors:  Octavio Martínez; M Humberto Reyes-Valdés
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-07       Impact factor: 11.205

Review 6.  Noncoding RNA in development.

Authors:  Paulo P Amaral; John S Mattick
Journal:  Mamm Genome       Date:  2008-10-07       Impact factor: 2.957

7.  An NF-kappaB-sensitive micro RNA-146a-mediated inflammatory circuit in Alzheimer disease and in stressed human brain cells.

Authors:  Walter J Lukiw; Yuhai Zhao; Jian Guo Cui
Journal:  J Biol Chem       Date:  2008-09-18       Impact factor: 5.157

8.  Deep sequencing of small non-coding RNA highlights brain-specific expression patterns and RNA cleavage.

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Journal:  RNA Biol       Date:  2019-08-29       Impact factor: 4.652

9.  Evidence for natural antisense transcript-mediated inhibition of microRNA function.

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Journal:  Genome Biol       Date:  2010-05-27       Impact factor: 13.583

10.  Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.

Authors:  Matthew S Hestand; Andreas Klingenhoff; Matthias Scherf; Yavuz Ariyurek; Yolande Ramos; Wilbert van Workum; Makoto Suzuki; Thomas Werner; Gert-Jan B van Ommen; Johan T den Dunnen; Matthias Harbers; Peter A C 't Hoen
Journal:  Nucleic Acids Res       Date:  2010-07-07       Impact factor: 16.971

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