Single-Molecule Imaging of Protein Interactions and Dynamics

被引：21

作者：

Luo, Fang ^{[1
,2
]}

Qin, Gege ^{[1
,2
]}

Xia, Tie ^{[3
]}

Fang, Xiaohong ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, CAS Key Lab Mol Nanostruct & Nanotechnol, Beijing Natl Res Ctr Mol Sci, Inst Chem, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Dept Chem, Beijing 100049, Peoples R China

[3] Tsinghua Univ, Sch Med, Beijing 100084, Peoples R China

来源：

ANNUAL REVIEW OF ANALYTICAL CHEMISTRY, VOL 13 | 2020年 / 13卷

基金：

中国国家自然科学基金;

关键词：

single-molecule fluorescence imaging; protein dynamics; fluorescent probes; stoichiometry; single-molecule localization; single-molecule tracking; GROWTH-FACTOR RECEPTOR; REFLECTION FLUORESCENCE MICROSCOPY; HIDDEN MARKOV MODEL; LIVE-CELL; LOCALIZATION MICROSCOPY; COLOCALIZATION ANALYSIS; STOICHIOMETRY CHANGE; STIMULATED-EMISSION; TRANSPORT DYNAMICS; DIFFRACTION-LIMIT;

D O I：

10.1146/annurev-anchem-091619-094308

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Live-cell single-molecule fluorescence imaging has become a powerful analytical tool to investigate cellular processes that are not accessible to conventional biochemical approaches. This has greatly enriched our understanding of the behaviors of single biomolecules in their native environments and their roles in cellular events. Here, we review recent advances in fluorescence-based single-molecule bioimaging of proteins in living cells. We begin with practical considerations of the design of single-molecule fluorescence imaging experiments such as the choice of imaging modalities, fluorescent probes, and labeling methods. We then describe analytical observables from single-molecule data and the associated molecular parameters along with examples of live-cell single-molecule studies. Lastly, we discuss computational algorithms developed for single-molecule data analysis.

引用

页码：337 / 361

页数：25