Suppr超能文献

通过转导纳米抗体实现对内源蛋白的纳米级精确活细胞标记。

Live-cell labeling of endogenous proteins with nanometer precision by transduced nanobodies.

作者信息

Klein A, Hank S, Raulf A, Joest E F, Tissen F, Heilemann M, Wieneke R, Tampé R

机构信息

Institute of Biochemistry, Biocenter , Goethe University Frankfurt , Max-von-Laue-Str. 9 , 60438 Frankfurt/Main , Germany . Email:

Institute of Physical and Theoretical Chemistry , Goethe University Frankfurt , Max-von-Laue-Str. 7 , 60438 Frankfurt/Main , Germany.

出版信息

Chem Sci. 2018 Aug 20;9(40):7835-7842. doi: 10.1039/c8sc02910e. eCollection 2018 Oct 28.

Abstract

Accurate labeling of endogenous proteins for advanced light microscopy in living cells remains challenging. Nanobodies have been widely used for antigen labeling, visualization of subcellular protein localization and interactions. To facilitate an expanded application, we present a scalable and high-throughput strategy to simultaneously target multiple endogenous proteins in living cells with micro- to nanometer resolution. For intracellular protein labeling, we advanced nanobodies by site-specific and stoichiometric attachment of bright organic fluorophores. Their fast and fine-tuned intracellular transfer by microfluidic cell squeezing enabled high-throughput delivery with less than 10% dead cells. This strategy allowed for the dual-color imaging of distinct endogenous cellular structures, and culminated in super-resolution imaging of native protein networks in genetically non-modified living cells. The simultaneous delivery of multiple engineered nanobodies does not only offer exciting prospects for multiplexed imaging of endogenous protein, but also holds potential for visualizing native cellular structures with unprecedented accuracy.

摘要

在活细胞中对用于先进光学显微镜的内源性蛋白质进行精确标记仍然具有挑战性。纳米抗体已被广泛用于抗原标记、亚细胞蛋白质定位和相互作用的可视化。为了促进更广泛的应用,我们提出了一种可扩展的高通量策略,以微米到纳米级的分辨率同时靶向活细胞中的多种内源性蛋白质。对于细胞内蛋白质标记,我们通过将明亮的有机荧光团进行位点特异性和化学计量的连接来改进纳米抗体。通过微流控细胞挤压实现的快速且微调的细胞内递送能够以低于10%的死细胞率进行高通量递送。该策略实现了对不同内源性细胞结构的双色成像,并最终实现了对未经过基因改造的活细胞中天然蛋白质网络的超分辨率成像。同时递送多种工程化纳米抗体不仅为内源性蛋白质的多重成像提供了令人兴奋的前景,还具有以前所未有的精度可视化天然细胞结构的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c39/6194584/88a431f0572c/c8sc02910e-s1.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