High-throughput ultrastructure screening using electron microscopy and fluorescent barcoding

被引:16
|
作者
Bykov, Yury S. [1 ,2 ,3 ]
Cohen, Nir [3 ]
Gabrielli, Natalia [1 ]
Manenschijn, Hetty [1 ,4 ,5 ,6 ]
Welsch, Sonja [1 ,7 ]
Chlanda, Petr [1 ,8 ]
Kukulski, Wanda [1 ,4 ,9 ]
Patil, Kiran R. [1 ]
Schuldiner, Maya [3 ]
Briggs, John A. G. [1 ,2 ,4 ]
机构
[1] European Mol Biol Lab, Struct & Computat Biol Unit, Heidelberg, Germany
[2] MRC, Struct Studies Div, Lab Mol Biol, Cambridge Biomed Campus, Cambridge, England
[3] Weizmann Inst Sci, Dept Mol Genet, Rehovot, Israel
[4] European Mol Biol Lab, Cell Biol & Biophys Unit, Heidelberg, Germany
[5] Univ Geneva, Dept Biochem, Geneva, Switzerland
[6] Univ Geneva, NCCR Chem Biol, Geneva, Switzerland
[7] Thermo Fisher Sci, Eindhoven, Netherlands
[8] Heidelberg Univ, BioQuant, Heidelberg, Germany
[9] MRC, Cell Biol Div, Lab Mol Biol, Cambridge Biomed Campus, Cambridge, England
基金
欧洲研究理事会; 英国医学研究理事会;
关键词
CORRELATED FLUORESCENCE; YEAST; CELL; LOCALIZATION; PROTEIN; GENE; TOMOGRAPHY; LIBRARIES; LIGHT; FORM;
D O I
10.1083/jcb.201812081
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Genetic screens using high-throughput fluorescent microscopes have generated large datasets, contributing many cell biological insights. Such approaches cannot tackle questions requiring knowledge of ultrastructure below the resolution limit of fluorescent microscopy. Electron microscopy (EM) reveals detailed cellular ultrastructure but requires time-consuming sample preparation, limiting throughput. Here we describe a robust method for screening by high-throughput EM. Our approach uses combinations of fluorophores as barcodes to uniquely mark each cell type in mixed populations and correlative light and EM (CLEM) to read the barcode of each cell before it is imaged by EM. Coupled with an easy-to-use software workflow for correlation, segmentation, and computer image analysis, our method, called "MultiCLEM," allows us to extract and analyze multiple cell populations from each EM sample preparation. We demonstrate several uses for MultiCLEM with 15 different yeast variants. The methodology is not restricted to yeast, can be scaled to higher throughput, and can be used in multiple ways to enable EM to become a powerful screening technique.
引用
收藏
页码:2797 / 2811
页数:15
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