Efficient expression screening of human membrane proteins in transiently transfected Human Embryonic Kidney 293S cells

瞬时转染人胚肾293S细胞中人类膜蛋白的有效表达筛选

阅读:11
作者:Sarika Chaudhary, John E Pak, Bjørn P Pedersen, Lois J Bang, Liye B Zhang, Samantha M M Ngaw, Raissa G Green, Vinay Sharma, Robert M Stroud

Abstract

It is often an immense challenge to overexpress human membrane proteins at levels sufficient for structural studies. The use of Human Embryonic Kidney 293 (HEK 293) cells to express full-length human membrane proteins is becoming increasingly common, since these cells provide a near-native protein folding and lipid environment. Nevertheless, the labor intensiveness and low yields of HEK 293 cells and other mammalian cell expression systems necessitate the screening for suitable expression as early as possible. Here we present our methodology used to generate constructs of human membrane proteins and to rapidly assess their suitability for overexpression using transiently transfected, glycosylation-deficient GnT I-HEK 293 cells (HEK 293S). Constructs, in the presence or absence of a C-terminal enhanced green fluorescence protein (EGFP) molecule, are made in a modular manner, allowing for the rapid generation of several combinations of fusion tags and gene paralogues/orthologues. Solubilization of HEK 293S cells, using a range of detergents, followed by Western blotting is performed to assess relative expression levels and to detect possible degradation products. Fluorescence-detection size exclusion chromatography (FSEC) is employed to assess expression levels and overall homogeneity of the membrane proteins, to rank different constructs for further downstream expression trials. Constructs identified as having high expression are instantly suitable for further downstream large scale transient expression trials and stable cell line generation. The method described is accessible to all laboratory scales and can be completed in approximately 3 weeks.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。