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Stereoselective Synthesis of Vinylboronates by Rh-Catalyzed Borylation of Stereoisomeric Mixtures 被引量:2
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作者 shenhuan li Jie li +1 位作者 Tianlai Xia Wanxiang Zhao 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2019年第5期462-468,共7页
Summary of main observation and conclusion The stereoselective preparation of vinylboronates via rhodium-catalyzed borylation of E/Z mixtures of vinyl actetates is described, and this method was also extended to synth... Summary of main observation and conclusion The stereoselective preparation of vinylboronates via rhodium-catalyzed borylation of E/Z mixtures of vinyl actetates is described, and this method was also extended to synthesis of vinyldiboronates. These transformations feature high functional group compatibility and mild reaction conditions. Control experiments support a mechanism that involved a Rh-catalyzed borylation-isomerization sequence. The isomerization of (Z)-vinylboronates to (E)-isomers was also demonstrated. 展开更多
关键词 vinylboronates method CONTROL
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Aptamer-Based Cell-Surface Profiling with Single-Cell Resolution Enables Precise Cancer Characterization
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作者 liujun Xu Yawei Feng +14 位作者 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 《CCS Chemistry》 2024年第1期196-207,共12页
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 class... 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. 展开更多
关键词 molecular profiling cancer diagnosis mass cytometry aptamers machine learning
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