Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Annotating conserved and novel features of primate transcriptomes using sequencing. | Khaitovich Genome Biology 2010 11 125 http 2010 11 7 125 w Genome Biology RESEARCH HIGHLIGHT L__ Annotating conserved and novel features of primate transcriptomes using sequencing Philipp Khaitovich 1 2 See research article http 2010 11 7 R78 Abstract Recent high-throughput sequencing of chimpanzee brain and liver transcriptomes published in Genome Biology reveals multiple transcripts lost in the human genome and highlights the incompleteness of primate genome annotations. The completion of the human genome was followed by sequencing of the genomes of closely related primate species such as the chimpanzee and the rhesus macaque. The motivation was simple as the genome provided the blueprint of an organism comparisons between the human genome and the genomes of non-human primates should reveal genomic features underlying the human phenotype. One problem with this approach however is that a genome is not really a blueprint of a phenotype but rather a well-scrambled message in which functionally relevant sequences are lost in a sea of phenotypically neutral information. A seemingly straightforward way to identify functional sequences is to determine transcribed regions. This is not a simple task however as the transcriptome varies greatly across cell types and changes dramatically across an organism s lifespan. Thus in the past decade a large effort was put into annotating the human transcriptome mainly by sequencing transcripts converted into cDNA libraries by conventional Sanger sequencing. As a result it became clear that given enough sequencing coverage almost any genomic sequence can be detected on the transcriptome level 1 . This is not entirely surprising as human genes frequently contain long introns moreover RNA polymerase can generate spontaneous transcripts of no functional relevance. Still Correspondence khaitovich@ 1Partner Institute for Computational Biology Chinese Academy of Sciences 320 .
