Scheetz Todd E, Laffin Jennifer J, Berger Brian, Holte Sara, Baumes Susan A, Brown Robert, Chang Shereen, Coco Justin, Conklin Jim, Crouch Keith, Donohue Micca, Doonan Greg, Estes Chris, Eyestone Mari, Fishler Katrina, Gardiner Jack, Guo Lankai, Johnson Brad, Keppel Catherine, Kreger Rikki, Lebeck Mark, Marcelino Rudy, Miljkovich Vladan, Perdue Mindee, Qui Ling, Rehmann Joshua, Reiter Rebecca S, Rhoads Bridgette, Schaefer Kelly, Smith Christina, Sunjevaric Ivana, Trout Kurtis, Wu Ning, Birkett Clayton L, Bischof Jared, Gackle Barry, Gavin Allen, Grundstad A Jason, Mokrzycki Brian, Moressi Chris, O'Leary Brian, Pedretti Kevin, Roberts Chad, Robinson Natalie L, Smith Michael, Tack Dylan, Trivedi Nishank, Kucaba Tamara, Freeman Tom, Lin Jim J-C, Bonaldo Maria F, Casavant Thomas L, Sheffield Val C, Soares M Bento
Center for Bioinformatics and Computational Biology, The University of Iowa, Iowa City, Iowa 52242, USA.
Genome Res. 2004 Apr;14(4):733-41. doi: 10.1101/gr.1414204.
The rat is an important animal model for human diseases and is widely used in physiology. In this article we present a new strategy for gene discovery based on the production of ESTs from serially subtracted and normalized cDNA libraries, and we describe its application for the development of a comprehensive nonredundant collection of rat ESTs. Our new strategy appears to yield substantially more EST clusters per ESTs sequenced than do previous approaches that did not use serial subtraction. However, multiple rounds of library subtraction resulted in high frequencies of otherwise rare internally primed cDNAs, defining the limits of this powerful approach. To date, we have generated >200,000 3' ESTs from >100 cDNA libraries representing a wide range of tissues and developmental stages of the laboratory rat. Most importantly, we have contributed to approximately 50,000 rat UniGene clusters. We have identified, arrayed, and derived 5' ESTs from >30,000 unique rat cDNA clones. Complete information, including radiation hybrid mapping data, is also maintained locally at http://genome.uiowa.edu/clcg.html. All of the sequences described in this article have been submitted to the dbEST division of the NCBI.
大鼠是人类疾病的重要动物模型,在生理学研究中被广泛应用。在本文中,我们提出了一种基于从连续扣除和标准化的cDNA文库中产生ESTs来进行基因发现的新策略,并描述了其在构建大鼠ESTs全面非冗余集合中的应用。我们的新策略似乎比以前未使用连续扣除的方法在每个测序的EST中产生更多的EST簇。然而,多轮文库扣除导致原本罕见的内部引物cDNA出现高频,这界定了这种强大方法的局限性。迄今为止,我们已经从代表实验大鼠广泛组织和发育阶段的100多个cDNA文库中产生了超过200,000个3' ESTs。最重要的是,我们为大约50,000个大鼠单基因簇做出了贡献。我们已经从超过30,000个独特的大鼠cDNA克隆中鉴定、排列并获得了5' ESTs。完整信息,包括辐射杂种图谱数据,也保存在本地网站http://genome.uiowa.edu/clcg.html上。本文描述的所有序列已提交至NCBI的dbEST部门。