Work

Fluid Nanoforest Interfaces for Efficient Capture and In Situ MicroRNA and Protein Profiling of Tumor-Derived Extracellular Vesicles

Year: 2025

Type: article

Source: ACS Nano

Authors: Yanli Gong, Jianzhou Feng, Qianqian Li, Qi Niu, Yu An, Jiao Cao, Yingbin Liu, Lingling Wu, Chaoyong Yang

Institutions: Shanghai Jiao Tong University, Renji Hospital, Ministry of Education of the People's Republic of China, Xiamen University, Jiangmen Central Hospital, First Affiliated Hospital of Xiamen University

Language: English

Topic: Extracellular vesicles in disease

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Innovative Research Team of High-level Local University in Shanghai, National Natural Science Foundation of China, Shanghai Rising-Star Program

Awards: G1718938995, G2582035457, G285145291, G310026802, G5105031909, G5749611649

OpenAlex ID: W4412641794

FWCI: 3.579

Cites: 49

Cited by: 14

Related to: 10