Aptamer-Based Cell-Surface Profiling with Single-Cell Resolution Enables Precise Cancer Characterization  

作　　者：Liujun Xu Yawei Feng Tong Wang Shenhuan Li Kangli Xu Yue Sun Yi Luo Yishan Ye Yan Miao Yun Dong Zhenzhen Guo Qing Zhang Benshang Li He Huang Xue-Qiang Wang Liping Qiu Weihong Tan 

机构地区：[1]Molecular Science and Biomedicine Laboratory,State Key Laboratory of Chemo/Biosensing and Chemometrics,College of Chemistry and Chemical Engineering,College of Biology,Aptamer Engineering Center of Hunan Province,Hunan University,Changsha,Hunan 410082 [2]The Key Laboratory of Zhejiang Province for Aptamers and Theranostics,Zhejiang Cancer Hospital,Hangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou,Zhejiang 310022 [3]Institute of Molecular Medicine,Renji Hospital,Shanghai Jiao Tong University School of Medicine,College of Chemistry and Chemical Engineering,Shanghai Jiao Tong University,Shanghai 200240 [4]Bone Marrow Transplantation Center,The First Affiliated Hospital,School of Medicine,Zhejiang University,Hangzhou 310003 [5]Institute of Hematology,Zhejiang University,Hangzhou 310003 [6]Department of Hematology and Oncology,Shanghai Children’s Medical Center,Shanghai Jiao Tong University School of Medicine,Shanghai Jiao Tong University,Shanghai 200127

出　　处：《CCS Chemistry》2024年第1期196-207,共12页中国化学会会刊（英文）

基　　金：the National Key Research Program(grant nos.2021YFA0910101,2018YFC1602900,and 2019YFA0905800);the National Natural Science Foundation of China(NSFC;grant nos.21922404,22174039,22107027,and 21827811);the Science and Technology Project of Hunan Province(grant nos.2022JJ10005,2021RC4022,2019SK2201,2018RS3035,and 2017XK2103).

摘　　要：Molecular profiling of cell-surface proteins is a powerful strategy for precise cancer diagnosis.While mass cytometry(MC)enables synchronous detection of over 40 cellular parameters,its full potential in disease classification is challenged by the limited types of recognition probes currently available.In this work,we synthesize a panel of heavy isotopeconjugated aptamers to profile cancer-associated signatures on the surface of hematological malignancy(HM)cells.Based on 15 molecular signatures,we performed cell-surface profiling that allowed the precise classification of 8 HM cell lines.Combined with machine-learning technology,this aptamer-based MC platform also achieved multiclass identification of HM subtypes in clinical sampleswith 100%accuracy in the training cohort and 80%accuracy in the test cohort.Therefore,we report an effective and practical strategy for precise cancer classification at the singlecell level,paving the way for its clinical use in the near future.

关 键 词：molecular profiling cancer diagnosis mass cytometry aptamers machine learning 

分 类 号：R73[医药卫生—肿瘤]