Abstract

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 cells1–5. 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. seqFISH+, an evolution of sequential fluorescence in situ hybridization with super-resolution imaging capabilities, is used to image mRNAs of 10,000 genes in cultured cells and mouse brain slices, demonstrating the ability to generate spatial atlases and to perform discovery-driven studies in situ.

Keywords

TranscriptomeOlfactory bulbConfocalIn situ hybridizationIn situComputational biologySubventricular zoneBiologyCell biologyGene expressionGeneChemistryNeuroscienceGeneticsPhysicsOpticsStem cellCentral nervous system

MeSH Terms

3T3 CellsAnimalsBrainDopaminergic NeuronsEndothelial CellsFemaleGene Expression ProfilingIn Situ HybridizationFluorescenceLigandsMaleMiceMicrogliaOrgan SpecificityRNAMessengerSingle-Cell AnalysisTranscriptome

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Publication Info

Year
2019
Type
article
Volume
568
Issue
7751
Pages
235-239
Citations
1645
Access
Closed

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1645
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Cite This

Chee-Huat Linus Eng, Michael J. Lawson, Qian Zhu et al. (2019). Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+. Nature , 568 (7751) , 235-239. https://doi.org/10.1038/s41586-019-1049-y

Identifiers

DOI
10.1038/s41586-019-1049-y
PMID
30911168
PMCID
PMC6544023

Data Quality

Data completeness: 90%