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本文引用的文献

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A proteomic view on genome-based signal peptide predictions.基于基因组的信号肽预测的蛋白质组学视角。
Genome Res. 2001 Sep;11(9):1484-502. doi: 10.1101/gr.182801.
2
Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.用隐马尔可夫模型预测跨膜蛋白拓扑结构:应用于完整基因组。
J Mol Biol. 2001 Jan 19;305(3):567-80. doi: 10.1006/jmbi.2000.4315.
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A signal sequence trap based on a constitutively active cytokine receptor.一种基于组成型活性细胞因子受体的信号序列捕获方法。
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Characterization of novel secreted and membrane proteins isolated by the signal sequence trap method.通过信号序列捕获法分离的新型分泌蛋白和膜蛋白的特性分析。
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Molecular cloning of a novel T cell-directed CC chemokine expressed in thymus by signal sequence trap using Epstein-Barr virus vector.利用爱泼斯坦-巴尔病毒载体通过信号序列陷阱技术对胸腺中表达的一种新型T细胞定向CC趋化因子进行分子克隆。
J Biol Chem. 1996 Aug 30;271(35):21514-21. doi: 10.1074/jbc.271.35.21514.
9
Selection for genes encoding secreted proteins and receptors.编码分泌蛋白和受体的基因选择。
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10
Signal sequence trap: a cloning strategy for secreted proteins and type I membrane proteins.信号序列捕获:一种用于分泌蛋白和I型膜蛋白的克隆策略。
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基于与无信号肽β-内酰胺酶报告基因的cDNA融合,对编码分泌蛋白和膜蛋白的人类基因进行大肠杆菌筛选。

E. coli selection of human genes encoding secreted and membrane proteins based on cDNA fusions to a leaderless beta-lactamase reporter.

作者信息

Tan Ruoying, Jiang Xin, Jackson Alan, Jin Pei, Yang Junming, Lee Ernestine, Duggan Brendan, Stuve Laura L, Fu Glenn K

机构信息

Incyte Corporation, Palo Alto, California 94304, USA.

出版信息

Genome Res. 2003 Aug;13(8):1938-43. doi: 10.1101/gr.1000903. Epub 2003 Jul 17.

DOI:10.1101/gr.1000903
PMID:12869575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC403786/
Abstract

Although several signal peptide-trapping methods have been devised and used to detect signal sequences, none have relied on using E.coli to identify eukaryotic proteins with signal peptides. Here, we describe a system for selecting human secreted and membrane proteins in E. coli followed by the direct validation of secretion in human cells. The method is based on cDNA fusions to a leaderless beta-lactamase reporter gene to isolate clones encoding signal peptides of human genes. We found that beta-lactamase fusion proteins carrying a eukaryotic signal peptide at its N-terminus were able to direct their export into the periplasm in E. coli to confer survival upon challenge with carbenicillin. When libraries constructed from 5' end-enriched cDNAs fused to beta-lactamase were screened in E.coli, approximately 0.5%-1% of the cDNAs are selected, and over half of the surviving clones were found to encode for secreted fusion proteins when tested in human cells. These clones were sequenced and shown to represent human genes encoding signal peptides of secreted and membrane proteins. We conclude that this is an efficient and effective strategy to easily enrich cDNA libraries for the identification of novel genes likely to encode secreted enzymes, growth factors, and receptors.

摘要

尽管已经设计并使用了几种信号肽捕获方法来检测信号序列,但没有一种方法依赖于利用大肠杆菌来鉴定带有信号肽的真核蛋白质。在此,我们描述了一种在大肠杆菌中筛选人分泌蛋白和膜蛋白,随后直接在人细胞中验证分泌情况的系统。该方法基于将cDNA与无信号肽的β-内酰胺酶报告基因融合,以分离编码人类基因信号肽的克隆。我们发现,在其N端携带真核信号肽的β-内酰胺酶融合蛋白能够将其转运至大肠杆菌的周质空间,从而在受到羧苄青霉素攻击时赋予细胞存活能力。当用与β-内酰胺酶融合的5'端富集cDNA构建的文库在大肠杆菌中进行筛选时,约0.5%-1%的cDNA被选中,并且在人细胞中进行测试时,超过一半的存活克隆被发现编码分泌性融合蛋白。对这些克隆进行测序后发现,它们代表了编码分泌蛋白和膜蛋白信号肽的人类基因。我们得出结论,这是一种高效且有效的策略,能够轻松富集cDNA文库,以鉴定可能编码分泌酶、生长因子和受体的新基因。