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EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics.
Rallapalli, Ghanasyam; Kemen, Eric M; Robert-Seilaniantz, Alexandre; Segonzac, Cécile; Etherington, Graham J; Sohn, Kee Hoon; MacLean, Daniel; Jones, Jonathan D G.
Afiliação
  • Jones JD; The Sainsbury Laboratory, Norwich Research Park, Colney, Norwich, UK NR4 7UH. jonathan.jones@tsl.ac.uk.
BMC Genomics ; 15: 341, 2014 May 06.
Article em En | MEDLINE | ID: mdl-24884414
ABSTRACT

BACKGROUND:

Next Generation Sequencing technologies have facilitated differential gene expression analysis through RNA-seq and Tag-seq methods. RNA-seq has biases associated with transcript lengths, lacks uniform coverage of regions in mRNA and requires 10-20 times more reads than a typical Tag-seq. Most existing Tag-seq methods either have biases or not high throughput due to use of restriction enzymes or enzymatic manipulation of 5' ends of mRNA or use of RNA ligations.

RESULTS:

We have developed EXpression Profiling through Randomly Sheared cDNA tag Sequencing (EXPRSS) that employs acoustic waves to randomly shear cDNA and generate sequence tags at a relatively defined position (~150-200 bp) from the 3' end of each mRNA. Implementation of the method was verified through comparative analysis of expression data generated from EXPRSS, NlaIII-DGE and Affymetrix microarray and through qPCR quantification of selected genes. EXPRSS is a strand specific and restriction enzyme independent tag sequencing method that does not require cDNA length-based data transformations. EXPRSS is highly reproducible, is high-throughput and it also reveals alternative polyadenylation and polyadenylated antisense transcripts. It is cost-effective using barcoded multiplexing, avoids the biases of existing SAGE and derivative methods and can reveal polyadenylation position from paired-end sequencing.

CONCLUSIONS:

EXPRSS Tag-seq provides sensitive and reliable gene expression data and enables high-throughput expression profiling with relatively simple downstream analysis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Biologia Computacional / Perfilação da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Biologia Computacional / Perfilação da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2014 Tipo de documento: Article