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作 者:Li Mao Chenglin Liu Zhen Wang Xiaofeng Niu Liang Xue Zhilei Zhou Zhenying Cai Meng Yu Yixue Li Dianqing Wu Lin Li
机构地区:[1]State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China [2]Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China [3]School of Life Sciences and Bioteehnology, Shanghai Jiaotong University, Shanghai, China [4]School of Life Science and Technology, Shanghai Tech University, Shanghai 200031, China [5]Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China [6]Vascular Biology and Therapeutic.Program and Department of Pharmacology, Yale School of Medicine, New Haven, CT 06520, USA
出 处:《Cell Research》2016年第9期1067-1070,共4页细胞研究(英文版)
基 金:Acknowledgments The work was supported by the National Natural Science Foundation of China (31230044 and 31530094 to LL) and the strategic priority research program of Chinese Academy of Sciences (CAS; XDB19000000 to LL), NIH grant (GM112182 to DW) and the National Basic Research Program of China (973 Program; 2011CB910204 to YL). The work was also supported by the CAS/SAFEA International Partnership Program for Creative Research Teams.
摘 要:Loss-of-function screens are powerful tools for identifying gene contribution in a given biological context. Over the past decade, the RNA interference technology has become a dominant approach in the loss-of-function screen-based gene discovery [1].
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