Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Ribosomal footprints on a transcriptome landscape. | Minireview Ribosomal footprints on a transcriptome landscape David R Morris Address Department of Biochemistry University of Washington Seattle WA 98195-7350 USA. Email dmorris@ Published 28 April 2009 Genome Biology 2009 10 215 doi gb-2009-l0-4-2l5 The electronic version of this article is the complete one and can be found online at http 2009 l0M 2l5 2009 BioMed Central Ltd Abstract Next-generation massively parallel sequencing technology provides a powerful new means of assessing rates and regulation of translation across an entire transcriptome. The introduction of massively parallel DNA sequencing platforms over the past five years - so-called next-generation sequencing technology - has created the capacity to generate tens of millions of short sequence reads in a single run. These sequences can be identified by alignment to the known genomes of the all-important model organisms including Homo sapiens 1 . The information garnered from this technology is providing new insights into important areas of genome chromatin and transcriptome biology. One of the applications of next-generation sequencing -short-read cDNA analysis or RNAseq 2 3 - has its conceptual roots in serial analysis of gene expression SAGE 4 . Whereas SAGE provides thousands of sequences of short sequence tags that have been cloned as concatemers RNAseq ups the ante to tens of millions of independently derived sequences per experiment. For RNA biology transcriptome analysis by RNAseq provides robust quantitative reproducibility dynamic range of many orders-of-magnitude transcript directionality analysis of repetitive sequences independent measurement of highly similar sequences and detection of post-transcriptional processing at the single nucleotide level. Using RNAseq methodology a recent study from Jonathan Weissman s laboratory Ingolia et al. 5 yielded a snapshot of the steady-state linear distribution of ribosomes on RNA transcripts in cells of .
