Real-time imaging of structure and dynamics of transmembrane biomolecules by FRET-induced single-molecule fluorescence attenuation

Dongfei Ma; Wenqing Hou; Chenguang Yang; Shuxin Hu; Weijing Han; Ying Lu

doi:10.52601/bpr.2021.210030

PDF(6155 KB)

Biophysics Reports ›› 2021, Vol. 7 ›› Issue (6) : 490-503. DOI: 10.52601/bpr.2021.210030

REVIEW

research-article

Real-time imaging of structure and dynamics of transmembrane biomolecules by FRET-induced single-molecule fluorescence attenuation

Author information +

History +

Abstract

Tracking the transmembrane topology and conformational dynamics of membrane proteins is key to understand their functions. It is however challenging to monitor position changes of individual proteins in cell membranes with high sensitivity and high resolution. We review on three single-molecule fluorescence imaging methods — SIFA, LipoFRET and QueenFRET — recently developed in our lab for studying the dynamics of membrane proteins. They can be applied, progressively, to investigate membrane proteins in solid-supported lipid bilayers, artificial liposome membranes and live-cell plasma membranes. The techniques take advantage of the energy transfer from a fluorophore to a cloud of quenchers and are able to extract in real time positions and position changes of a single fluorophore-labeled protein in the direction normal to the membrane surface. The methods have sub-nanometer precision and have proved powerful to investigate biomolecules interacting with bio-membranes.

Graphical abstract

Keywords

Single-molecule fluorescence imaging / Dynamics of membrane proteins

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Dongfei Ma, Wenqing Hou, Chenguang Yang, Shuxin Hu, Weijing Han, Ying Lu. Real-time imaging of structure and dynamics of transmembrane biomolecules by FRET-induced single-molecule fluorescence attenuation. Biophysics Reports, 2021, 7(6): 490‒503 https://doi.org/10.52601/bpr.2021.210030

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]

[2]

[3]

[4]

[5]

[6]

[7]

[8]

[9]

[10]

[11]

[12]

[13]

[14]

[15]

[16]

[17]

[18]

[19]

[20]

[21]

[22]

[23]

[24]

[25]

[26]

[27]

[28]

[29]

[30]

[31]

[32]

[33]

[34]

[35]

[36]

[37]

[38]

[39]

[40]

[41]

[42]

[43]

[44]

[45]

[46]

[47]

[48]

[49]

[50]

[51]

[52]

[53]

[54]

[55]

[56]

[57]

[58]

[59]

[60]

[61]

[62]

[63]

[64]

[65]

[66]

[67]

[68]

[69]

[70]

[71]

[72]

[73]

[74]

[75]

[76]

[77]

[78]

[79]

[80]

[81]

[82]

[83]

[84]

[85]

[86]

[87]

[88]

[89]

[90]

[91]

Funding

This work was supported by the National Natural Science Foundation of China (11974411), the Outstanding Young Scholars of the National Natural Science Foundation of China (12022409), the CAS Key Research Program of Frontier Sciences (ZDBS-LY-SLH015), the CAS Youth Innovation Promotion Association (2017015), and China Postdoctoral Science Foundation (2020M680728). The authors also gratefully acknowledge the support of the K. C. Wong Education Foundation.