In Situ Monitoring of Membrane Protein Dynamics Using High-Throughput Red-Light-Activated Single-Molecule Tracking

Single-molecule tracking offers nanometer resolution for studying individual molecule dynamics but is often limited by sparse labeling to avoid signal overlap. We present Red-Light-Activated Single-molecule Tracking (RE-LAST) strategy to address this challenge utilizing a photoactivatable probe, SiR670. SiR670 combines traditional silicon rhodamine with a photocage called SO, quenching fluorescence via photoinduced electron transfer (PET). Red light triggers SiR670 excitation, generating singlet oxygen that oxidizes the SO cage, halting PET and restoring fluorescence. RE-LAST used red light for both activation and imaging, eliminating harmful UV exposure. This method enables high-throughput single-molecule tracking, achieving approximately 9 times more tracks than conventional methods and allowing detailed classification of CD56 membrane protein motion. Furthermore, in situ imaging of single live cells revealed the effects of triplet quencher and oxygen scavenging system (OSS) on membrane protein dynamics. While triplet quenchers like Trolox had minimal impact on protein movement patterns, OSS significantly accelerated protein movement and increased the proportion of mobile proteins. This approach provides a comprehensive method for investigating membrane protein dynamics in living cells, contributing to further developments in cellular and molecular biology.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-03-28
DOI
https://doi.org/10.1021/acsnano.5c03182
Citations
3
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
4.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Situ Monitoring of Membrane Protein Dynamics Using High-Throughput Red-Light-Activated Single-Molecule Tracking

Kuangshi Sun, Bingjie Zhao, Xuebo Zhang, Qian Liu et al.
3 citations
ACS Nano
Advanced Fluorescence Microscopy Techniques
4.90
article

In Situ Monitoring of Membrane Protein Dynamics Using High-Throughput Red-Light-Activated Single-Molecule Tracking

Kuangshi Sun, Bingjie Zhao, Xuebo Zhang, Qian Liu, Fuyou Li, Tianli Zhai, Song Chen, Yanzhong Li, Jinyang Liu, Yunxiang Zhang, Yanxin Zhang, Huan Ling
article en
3 citations

Abstract

Single-molecule tracking offers nanometer resolution for studying individual molecule dynamics but is often limited by sparse labeling to avoid signal overlap. We present Red-Light-Activated Single-molecule Tracking (RE-LAST) strategy to address this challenge utilizing a photoactivatable probe, SiR670. SiR670 combines traditional silicon rhodamine with a photocage called SO, quenching fluorescence via photoinduced electron transfer (PET). Red light triggers SiR670 excitation, generating singlet oxygen that oxidizes the SO cage, halting PET and restoring fluorescence. RE-LAST used red light for both activation and imaging, eliminating harmful UV exposure. This method enables high-throughput single-molecule tracking, achieving approximately 9 times more tracks than conventional methods and allowing detailed classification of CD56 membrane protein motion. Furthermore, in situ imaging of single live cells revealed the effects of triplet quencher and oxygen scavenging system (OSS) on membrane protein dynamics. While triplet quenchers like Trolox had minimal impact on protein movement patterns, OSS significantly accelerated protein movement and increased the proportion of mobile proteins. This approach provides a comprehensive method for investigating membrane protein dynamics in living cells, contributing to further developments in cellular and molecular biology.

ACS NanoVol. 19(13)
Shanghai Jiao Tong University (CN), Fudan University (CN), Institute of Translational Health Sciences (US)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Advanced Fluorescence Microscopy Techniques
4.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.