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RNA-Seq: a revolutionary tool for transcriptomics

Zhong Wang, +2 more
- 01 Jan 2009 - 
- Vol. 10, Iss: 1, pp 57-63
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TLDR
The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
Abstract
RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.

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Citations
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Global Epigenetic and Transcriptional Trends among Two Rice Subspecies and Their Reciprocal Hybrids

TL;DR: Highly integrated maps of the epigenome, mRNA, and small RNA transcriptomes of two rice subspecies and their reciprocal hybrids reveal that gene activity was correlated with DNA methylation and both active and repressive histone modifications in transcribed regions.
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RNA-seq: from technology to biology.

TL;DR: Technical issues accompanying RNA-seq data generation and analysis are described, highlighting differences to array-based approaches and recent biological insight gained from applyingRNA-seq and related approaches to deeply sample transcriptomes in different cell types or physiological conditions are reviewed.
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Inhibition of microRNA function by antimiR oligonucleotides

TL;DR: This review focuses on the use of antisense oligonucleotides (antimiRs) in miRNA inhibition for loss-of-function studies and summarizes recent progress in antimiR mediated pharmacological inhibition of disease-associated miRNAs, which shows great promise in the development of novel miRNA-based therapeutics.
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A high resolution map of the Arabidopsis thaliana developmental transcriptome based on RNA-seq profiling.

TL;DR: The genome-wide analysis of A. thaliana gene expression profiles across different organs and developmental stages using high-throughput transcriptome sequencing revealed 25 706 protein-coding genes, as well as their stability and their spatiotemporal specificity.
References
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Journal ArticleDOI

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TL;DR: Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors.
PatentDOI

Serial analysis of gene expression

TL;DR: Serial analysis of gene expression (SAGE) should provide a broadly applicable means for the quantitative cataloging and comparison of expressed genes in a variety of normal, developmental, and disease states.
Journal ArticleDOI

Mapping short DNA sequencing reads and calling variants using mapping quality scores

TL;DR: This work describes the software MAQ, software that can build assemblies by mapping shotgun short reads to a reference genome, using quality scores to derive genotype calls of the consensus sequence of a diploid genome, e.g., from a human sample.
Journal ArticleDOI

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

TL;DR: It is found that the Illumina sequencing data are highly replicable, with relatively little technical variation, and thus, for many purposes, it may suffice to sequence each mRNA sample only once (i.e., using one lane).
Journal ArticleDOI

SOAP: short oligonucleotide alignment program

TL;DR: The program SOAP is designed to handle the huge amounts of short reads generated by parallel sequencing using the new generation Illumina-Solexa sequencing technology, which supports multi-threaded parallel computing and has a batch module for multiple query sets.
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