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题名: Nanoscale mapping and organization analysis of target proteins on cancer cells from B-cell lymphoma patients
作者: Li M(李密) ; Xiao XB(肖秀斌) ; Liu LQ(刘连庆) ; Xi N(席宁) ; Wang YC(王越超) ; Dong ZL(董再励) ; Zhang WJ(张伟京)
作者部门: 机器人学研究室
关键词: Atomic force microscopy ; Non-Hodgkin's lymphoma ; Cancer cell ; CD20 ; Rituximab ; ROR1
刊名: EXPERIMENTAL CELL RESEARCH
ISSN号: 0014-4827
出版日期: 2013
卷号: 319, 期号:18, 页码:2812-2821
收录类别: SCI
产权排序: 1
摘要: CD20, a membrane protein highly expressed on most B-cell lymphomas, is an effective target demonstrated in clinical practice for treating B-cell non-Hodgkin's lymphoma (NHL). Rituximab is a monoclonal antibody against CD20. In this work, we applied atomic force microscopy (AFM) to map the nanoscale distribution of CD20 molecules on the surface of cancer cells from clinical B-cell NHL patients under the assistance of ROR1 fluorescence recognition (ROR1 is a specific cell surface marker exclusively expressed on cancer cells). First, the ROR1 fluorescence labeling experiments showed that ROR1 was expressed on cancer cells from B-cell lymphoma patients, but not on normal cells from healthy volunteers. Next, under the guidance of ROR1 fluorescence, the rituximab-conjugated AFM tips were moved to cancer cells to image the cellular morphologies and detect the CD20-rituximab interactions on the cell surfaces. The distribution maps of CD20 on cancer cells were constructed by obtaining arrays of (16 x 16) force curves in local areas (500 x 500 nm(2)) on the cell surfaces. The experimental results provide a new approach to directly investigate the nanoscale distribution of target protein on single clinical cancer cells.
语种: 英语
WOS记录号: WOS:000326432700006
WOS标题词: Science & Technology ; Life Sciences & Biomedicine
类目[WOS]: Oncology ; Cell Biology
关键词[WOS]: ATOMIC-FORCE MICROSCOPY ; ANTI-CD20 MONOCLONAL-ANTIBODIES ; LIVING CELLS ; SINGLE-MOLECULE ; CD20 EXPRESSION ; LIPID RAFTS ; ROR1 ; THERAPY ; SURFACE ; SPECTROSCOPY
研究领域[WOS]: Oncology ; Cell Biology
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14067
Appears in Collections:机器人学研究室_期刊论文

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