Suppr超能文献

使用成像椭圆仪与微流控阵列相结合分析SNARE蛋白之间的相互作用。

Analysis of interactions between SNARE proteins using imaging ellipsometer coupled with microfluidic array.

作者信息

Qi Cai, Zhang Hong, Liu Li, Yang Renke, Kang Tengfei, Hao Wenxin, Jin Gang, Jiang Taijiao

机构信息

1] Institute of Biophysics, Chinese Academy of Sciences, #15, Datun Rd., Beijing, 100101, China [2] Institute of Equipment Technology, Chinese Academy of Inspection and Quarantine, #3, Gaobeidian North Rd., Beijing, 100123, China [3].

1] Institute of Biophysics, Chinese Academy of Sciences, #15, Datun Rd., Beijing, 100101, China [2].

出版信息

Sci Rep. 2014 Jun 18;4:5341. doi: 10.1038/srep05341.

Abstract

The soluble N-ethylmaleimide-sensitive factor attachment receptor (SNARE) proteins are small and abundant membrane-bound proteins, whose specific interactions mediate membrane fusion during cell fusion or cellular trafficking. In this study, we report the use of a label-free method, called imaging ellipsometer to analyze the interactions among three SNAREs, namely Sec22p, Ykt6p and Sso2p. The SNAREs were immobilized on the silicon wafer and then analyzed in a pairwise mode with microfluidic array, leading us to discover the interactions between Ykt6p and Sso2p, Sec22p and Sso2p. Moreover, by using the real-time function of the imaging ellipsometer, we were able to obtain their association constants (K(A)) of about 10(4) M(-1). We argue that the use of imaging ellipsometer coupled with microfluidic device will deepen our understanding of the molecular mechanisms underlying membrane fusion process.

摘要

可溶性N - 乙基马来酰亚胺敏感因子附着受体(SNARE)蛋白是一类小而丰富的膜结合蛋白,其特异性相互作用介导细胞融合或细胞运输过程中的膜融合。在本研究中,我们报告了一种无标记方法的应用,即成像椭偏仪,用于分析三种SNARE蛋白(即Sec22p、Ykt6p和Sso2p)之间的相互作用。将SNARE蛋白固定在硅片上,然后通过微流控阵列以两两配对的方式进行分析,从而发现了Ykt6p与Sso2p、Sec22p与Sso2p之间的相互作用。此外,利用成像椭偏仪的实时功能,我们能够获得它们约为10⁴ M⁻¹ 的缔合常数(K(A))。我们认为,成像椭偏仪与微流控装置的结合使用将加深我们对膜融合过程潜在分子机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a738/4061542/af29101cc019/srep05341-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验