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Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes
Xinrui Zhou1, Wan Yi Seow1, Norbert Ha1
1Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Singapore, 138672, Singapore.
Nature Communications
|March 16, 2024
Summary
We developed Fluorescence In Situ Hybridization of Cellular HeterogeneIty and gene expression Programs (FISHnCHIPs), a sensitive and efficient method for spatial omics. FISHnCHIPs enables rapid, high-resolution cell typing in tissues for research and diagnostics.
Area of Science:
- Biomedical research
- Molecular biology
- Genomics
Background:
- Existing spatial omics technologies are expensive and time-consuming.
- High-dimensional, spatially resolved tissue analysis is crucial for research and diagnostics.
Purpose of the Study:
- To introduce Fluorescence In Situ Hybridization of Cellular HeterogeneIty and gene expression Programs (FISHnCHIPs) for sensitive in situ cell type and gene expression profiling.
- To overcome limitations of current spatial omics technologies.
Main Methods:
- FISHnCHIPs simultaneously images ~2-35 co-expressed genes clustered into modules.
- It achieves high sensitivity and spatial resolution comparable to single-gene FISH.
- The method allows for high-speed, large field-of-view tissue profiling.
Main Results:
- FISHnCHIPs demonstrated ~2-20-fold higher sensitivity than conventional FISH.
- Up to 53 modules were imaged in mouse kidney and brain tissues.
- Spatially restricted cancer-associated fibroblasts were identified in colorectal cancer biopsies.
Conclusions:
- FISHnCHIPs provides a fast, robust, and scalable solution for cell typing in tissues.
- This technology advances the study of tissues in normal physiology and disease pathogenesis.
- FISHnCHIPs has significant implications for biomedical research and diagnostics.
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