Literature DB >> 18855689

SuperSAGE: a modern platform for genome-wide quantitative transcript profiling.

Hideo Matsumura1, Detlev H Krüger, Günter Kahl, Ryohei Terauchi.   

Abstract

SuperSAGE is a variant of SAGE (Serial Analysis of Gene Expression) technology, which allows making transcript profiling by 26-bp tags extracted from cDNA employing the typeIII restriction enzyme EcoP15I. Its tag length is the longest among all the versions of SAGE, and is advantageous in tag-to-gene annotation, thereby allowing the technique to applicable to any eukaryotic life organisms. For model organisms with genome or cDNA sequences available, genes corresponding to 26-bp tags are uniquely defined by simple BLAST search. For non-model organisms without these sequence information, the 26-bp tag sequence is directly applicable to design PCR primer for amplifying cDNA of corresponding genes by 3'- or 5'-RACE. Furthermore, SuperSAGE allows various applications including "interaction transcriptome" and "SuperSAGE array". Emerging "Next Generation Sequencing" technologies perfectly complement SuperSAGE, and their combination has generated a novel transcriptome platform, that is superior to all the different microarray variants in terms of throughput, data quality and cost of analysis.

Mesh:

Substances:

Year:  2008        PMID: 18855689     DOI: 10.2174/138920108785915157

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  22 in total

1.  Structural insights into the assembly and shape of Type III restriction-modification (R-M) EcoP15I complex by small-angle X-ray scattering.

Authors:  Yogesh K Gupta; Lin Yang; Siu-Hong Chan; James C Samuelson; Shuang-yong Xu; Aneel K Aggarwal
Journal:  J Mol Biol       Date:  2012-05-02       Impact factor: 5.469

Review 2.  Dual RNA-seq of pathogen and host.

Authors:  Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
Journal:  Nat Rev Microbiol       Date:  2012-09       Impact factor: 60.633

Review 3.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

4.  Analysis of HIV-1 expression level and sense of transcription by high-throughput sequencing of the infected cell.

Authors:  Gregory Lefebvre; Sébastien Desfarges; Frédéric Uyttebroeck; Miguel Muñoz; Niko Beerenwinkel; Jacques Rougemont; Amalio Telenti; Angela Ciuffi
Journal:  J Virol       Date:  2011-04-20       Impact factor: 5.103

Review 5.  Application of serial analysis of gene expression to the study of human genetic disease.

Authors:  Martin P Horan
Journal:  Hum Genet       Date:  2009-07-10       Impact factor: 4.132

6.  Genome-wide annotation of the soybean WRKY family and functional characterization of genes involved in response to Phakopsora pachyrhizi infection.

Authors:  Marta Bencke-Malato; Caroline Cabreira; Beatriz Wiebke-Strohm; Lauro Bücker-Neto; Estefania Mancini; Marina B Osorio; Milena S Homrich; Andreia Carina Turchetto-Zolet; Mayra C C G De Carvalho; Renata Stolf; Ricardo L M Weber; Gastón Westergaard; Atílio P Castagnaro; Ricardo V Abdelnoor; Francismar C Marcelino-Guimarães; Márcia Margis-Pinheiro; Maria Helena Bodanese-Zanettini
Journal:  BMC Plant Biol       Date:  2014-09-10       Impact factor: 4.215

Review 7.  Long non-coding RNAs: new players in cell differentiation and development.

Authors:  Alessandro Fatica; Irene Bozzoni
Journal:  Nat Rev Genet       Date:  2013-12-03       Impact factor: 53.242

8.  Gill transcriptome response to changes in environmental calcium in the green spotted puffer fish.

Authors:  Patrícia Is Pinto; Hideo Matsumura; Michael As Thorne; Deborah M Power; Ryohei Terauchi; Richard Reinhardt; Adelino Vm Canário
Journal:  BMC Genomics       Date:  2010-08-17       Impact factor: 3.969

9.  Gene expression analysis in cadmium-stressed roots of a low cadmium-accumulating solanaceous plant, Solanum torvum.

Authors:  Hirotaka Yamaguchi; Hiroyuki Fukuoka; Tomohito Arao; Akio Ohyama; Tsukasa Nunome; Koji Miyatake; Satomi Negoro
Journal:  J Exp Bot       Date:  2009-10-16       Impact factor: 6.992

10.  Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress.

Authors:  Ederson A Kido; José R C Ferreira Neto; Roberta L O Silva; Luis C Belarmino; João P Bezerra Neto; Nina M Soares-Cavalcanti; Valesca Pandolfi; Manassés D Silva; Alexandre L Nepomuceno; Ana M Benko-Iseppon
Journal:  BMC Bioinformatics       Date:  2013-01-14       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.