Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes

被引:3
|
作者
Zhou, Xinrui [1 ]
Seow, Wan Yi [1 ]
Ha, Norbert [1 ]
Cheng, Teh How [1 ]
Jiang, Lingfan [1 ]
Boonruangkan, Jeeranan [1 ]
Goh, Jolene Jie Lin [1 ]
Prabhakar, Shyam [1 ]
Chou, Nigel [1 ]
Chen, Kok Hao [1 ]
机构
[1] ASTAR, Genome Inst Singapore GIS, 60 Biopolis St, Singapore 138672, Singapore
基金
新加坡国家研究基金会; 英国医学研究理事会;
关键词
CELL-TYPES; EXPRESSION; TISSUE; ATLAS; HETEROGENEITY;
D O I
10.1038/s41467-024-46669-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
High-dimensional, spatially resolved analysis of intact tissue samples promises to transform biomedical research and diagnostics, but existing spatial omics technologies are costly and labor-intensive. We present Fluorescence In Situ Hybridization of Cellular HeterogeneIty and gene expression Programs (FISHnCHIPs) for highly sensitive in situ profiling of cell types and gene expression programs. FISHnCHIPs achieves this by simultaneously imaging similar to 2-35 co-expressed genes (clustered into modules) that are spatially co-localized in tissues, resulting in similar spatial information as single-gene Fluorescence In Situ Hybridization (FISH), but with similar to 2-20-fold higher sensitivity. Using FISHnCHIPs, we image up to 53 modules from the mouse kidney and mouse brain, and demonstrate high-speed, large field-of-view profiling of a whole tissue section. FISHnCHIPs also reveals spatially restricted localizations of cancer-associated fibroblasts in a human colorectal cancer biopsy. Overall, FISHnCHIPs enables fast, robust, and scalable cell typing of tissues with normal physiology or undergoing pathogenesis.
引用
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页数:14
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