Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH

被引:1077
作者
Eng, Chee-Huat Linus [1 ]
Lawson, Michael [2 ]
Zhu, Qian [3 ,4 ]
Dries, Ruben [3 ,4 ]
Koulena, Noushin [2 ]
Takei, Yodai [2 ]
Yun, Jina [2 ]
Cronin, Christopher [2 ]
Karp, Christoph [2 ]
Yuan, Guo-Cheng [3 ,4 ]
Cai, Long [2 ]
机构
[1] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
[2] CALTECH, Div Biol & Biol Engn, Pasadena, CA 91125 USA
[3] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA
[4] Harvard TH Chan Sch Publ Hlth, Boston, MA USA
关键词
STATISTICAL SIGNIFICANCE; SINGLE; REVEALS; CELLS;
D O I
10.1038/s41586-019-1049-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Imaging the transcriptome in situ with high accuracy has been a major challenge in single-cell biology, which is particularly hindered by the limits of optical resolution and the density of transcripts in single cells(1-5). Here we demonstrate an evolution of sequential fluorescence in situ hybridization (seqFISH+). We show that seqFISH+ can image mRNAs for 10,000 genes in single cells-with high accuracy and sub-diffraction-limit resolution-in the cortex, subventricular zone and olfactory bulb of mouse brain, using a standard confocal microscope. The transcriptome-level profiling of seqFISH+ allows unbiased identification of cell classes and their spatial organization in tissues. In addition, seqFISH+ reveals subcellular mRNA localization patterns in cells and ligand-receptor pairs across neighbouring cells. This technology demonstrates the ability to generate spatial cell atlases and to perform discovery-driven studies of biological processes in situ.
引用
收藏
页码:235 / +
页数:22
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