Nature-inspired molecular dynamic recruitment for amplified imaging of cell membrane protein

Cell membrane proteins are important components used to study cellular life processes and for clinical diagnostics. Currently, the signal of membrane protein imaging is limited to the pivot of the target, significantly limiting signal amplification efficiency and output, unlike the efficiency observed in solution systems. Inspired by the widespread recruitment phenomenon in natural life activities, here, we propose a molecular dynamic recruitment technique for the amplified imaging of cell membrane proteins. It overcomes the limitations of imaging based on the target protein as a pivot point, allowing the signal at the pivot point to diffuse across the entire cell membrane, significantly enhancing signal amplification capability. To achieve this goal, firstly, two types of DNA are labeled respectively to the cell membrane and membrane proteins. Then, the strand displacement of the effector DNA triggers molecular dynamic recruitment based on an entropy-driven circuit, recruiting a large number of probes from the solution to the cell membrane, thus realizing the amplified imaging of membrane proteins. In summary, we have constructed a novel platform for amplified imaging of membrane protein, providing a new perspective for the application of cell diagnostics. • Molecular dynamic recruitment is introduced for amplified imaging of protein targets. • The limitation of imaging methods that relying on the target as a pivot are overcome. • Both UCNPs and traditional fluorophores can be used in molecular dynamic recruitment.

Authors

Institutions

Publication Details

Journal
Sensors and Actuators B Chemical
Published
2024-12-10
DOI
https://doi.org/10.1016/j.snb.2024.137113
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Nature-inspired molecular dynamic recruitment for amplified imaging of cell membrane protein

Danfeng Shen, Peng Chang, Juan Deng, Zhiqiang Zhu et al.
Sensors and Actuators B Chemical
Advanced biosensing and bioanalysis techniques
article

Nature-inspired molecular dynamic recruitment for amplified imaging of cell membrane protein

Danfeng Shen, Peng Chang, Juan Deng, Zhiqiang Zhu, Xiaoli Zhu, Zhun Gu, Qianqin Yuan
article en

Abstract

Cell membrane proteins are important components used to study cellular life processes and for clinical diagnostics. Currently, the signal of membrane protein imaging is limited to the pivot of the target, significantly limiting signal amplification efficiency and output, unlike the efficiency observed in solution systems. Inspired by the widespread recruitment phenomenon in natural life activities, here, we propose a molecular dynamic recruitment technique for the amplified imaging of cell membrane proteins. It overcomes the limitations of imaging based on the target protein as a pivot point, allowing the signal at the pivot point to diffuse across the entire cell membrane, significantly enhancing signal amplification capability. To achieve this goal, firstly, two types of DNA are labeled respectively to the cell membrane and membrane proteins. Then, the strand displacement of the effector DNA triggers molecular dynamic recruitment based on an entropy-driven circuit, recruiting a large number of probes from the solution to the cell membrane, thus realizing the amplified imaging of membrane proteins. In summary, we have constructed a novel platform for amplified imaging of membrane protein, providing a new perspective for the application of cell diagnostics. • Molecular dynamic recruitment is introduced for amplified imaging of protein targets. • The limitation of imaging methods that relying on the target as a pivot are overcome. • Both UCNPs and traditional fluorophores can be used in molecular dynamic recruitment.

Sensors and Actuators B ChemicalVol. 426
Tongji University (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Shanghai Tenth People's Hospital (CN), First Affiliated Hospital of Soochow University (CN), Suzhou Chien-Shiung Institute of Technology (CN)
Natural Science Research of Jiangsu Higher Education Institutions of China, Science and Technology Program of Suzhou
Openalex Percentile: Top 80%
Advanced biosensing and bioanalysis techniques
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.