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癌基因的从头选择。

De novo selection of oncogenes.

机构信息

Department of Genetics, Yale School of Medicine, New Haven, CT 06520-8005.

出版信息

Proc Natl Acad Sci U S A. 2014 Jan 7;111(1):E6-E14. doi: 10.1073/pnas.1315298111. Epub 2013 Dec 16.

Abstract

All cellular proteins are derived from preexisting ones by natural selection. Because of the random nature of this process, many potentially useful protein structures never arose or were discarded during evolution. Here, we used a single round of genetic selection in mouse cells to isolate chemically simple, biologically active transmembrane proteins that do not contain any amino acid sequences from preexisting proteins. We screened a retroviral library expressing hundreds of thousands of proteins consisting of hydrophobic amino acids in random order to isolate four 29-aa proteins that induced focus formation in mouse and human fibroblasts and tumors in mice. These proteins share no amino acid sequences with known cellular or viral proteins, and the simplest of them contains only seven different amino acids. They transformed cells by forming a stable complex with the platelet-derived growth factor β receptor transmembrane domain and causing ligand-independent receptor activation. We term this approach de novo selection and suggest that it can be used to generate structures and activities not observed in nature, create prototypes for novel research reagents and therapeutics, and provide insight into cell biology, transmembrane protein-protein interactions, and possibly virus evolution and the origin of life.

摘要

所有的细胞蛋白都是通过自然选择从先前存在的蛋白中衍生而来的。由于这个过程的随机性,许多潜在有用的蛋白质结构在进化过程中从未出现或被淘汰。在这里,我们在小鼠细胞中使用了一轮遗传选择,以分离出化学简单、具有生物活性的跨膜蛋白,这些蛋白不包含任何来自先前存在的蛋白质的氨基酸序列。我们筛选了一个表达数十万种由随机排列的疏水性氨基酸组成的蛋白质的逆转录病毒文库,以分离出四种 29 个氨基酸的蛋白质,这些蛋白质能够诱导小鼠和人成纤维细胞以及肿瘤的焦点形成。这些蛋白与已知的细胞或病毒蛋白没有氨基酸序列,最简单的蛋白只含有七种不同的氨基酸。它们通过与血小板衍生生长因子 β 受体跨膜结构域形成稳定的复合物并导致配体非依赖性受体激活来转化细胞。我们将这种方法称为从头选择,并提出它可以用于产生自然界中未观察到的结构和活性,为新型研究试剂和疗法创造原型,并深入了解细胞生物学、跨膜蛋白-蛋白相互作用,以及可能的病毒进化和生命起源。

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Proc Natl Acad Sci U S A. 2014 Jan 7;111(1):E6-E14. doi: 10.1073/pnas.1315298111. Epub 2013 Dec 16.

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