Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression

被引:442
作者
Xia, Chenglong [1 ,2 ,3 ]
Fan, Jean [1 ,2 ,3 ]
Emanuel, George [1 ,2 ,3 ]
Hao, Junjie [1 ,2 ,3 ]
Zhuang, Xiaowei [1 ,2 ,3 ]
机构
[1] Harvard Univ, Howard Hughes Med Inst, Cambridge, MA 02138 USA
[2] Harvard Univ, Dept Chem & Chem Biol, Cambridge, MA 02138 USA
[3] Harvard Univ, Dept Phys, Cambridge, MA 02138 USA
基金
美国国家卫生研究院;
关键词
single-cell transcriptomics; spatial transcriptomics; fluorescence in situ hybridization; MERFISH; RNA velocity; GENOME-WIDE EXPRESSION; MESSENGER-RNA; TISSUE; VISUALIZATION; RETENTION; PROTEINS;
D O I
10.1073/pnas.1912459116
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
The expression profiles and spatial distributions of RNAs regulate many cellular functions. Image-based transcriptomic approaches provide powerful means to measure both expression and spatial information of RNAs in individual cells within their native environment. Among these approaches, multiplexed error-robust fluorescence in situ hybridization (MERFISH) has achieved spatially resolved RNA quantification at transcriptome scale by massively multiplexing single-molecule FISH measurements. Here, we increased the gene throughput of MERFISH and demonstrated simultaneous measurements of RNA transcripts from similar to 10,000 genes in individual cells with similar to 80% detection efficiency and similar to 4% misidentification rate. We combined MERFISH with cellular structure imaging to determine subcellular compartmentalization of RNAs. We validated this approach by showing enrichment of secretome transcripts at the endoplasmic reticulum, and further revealed enrichment of long noncoding RNAs, RNAs with retained introns, and a subgroup of protein-coding mRNAs in the cell nucleus. Leveraging spatially resolved RNA profiling, we developed an approach to determine RNA velocity in situ using the balance of nuclear versus cytoplasmic RNA counts. We applied this approach to infer pseudotime ordering of cells and identified cells at different cell-cycle states, revealing similar to 1,600 genes with putative cell cycle-dependent expression and a gradual transcription profile change as cells progress through cell-cycle stages. Our analysis further revealed cell cycle-dependent and cell cycle-independent spatial heterogeneity of transcriptionally distinct cells. We envision that the ability to perform spatially resolved, genome-wide RNA profiling with high detection efficiency and accuracy by MERFISH could help address a wide array of questions ranging from the regulation of gene expression in cells to the development of cell fate and organization in tissues.
引用
收藏
页码:19490 / 19499
页数:10
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