Methods for highly multiplexed RNA imaging are limited in spatial resolution and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to the mouse brain, which yielded the readout of thousands of genes, including splice variants. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in the neurons of the mouse hippocampus, revealing patterns across multiple cell types, layer-specific cell types across the mouse visual cortex, and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus, ExSeq enables highly multiplexed mapping of RNAs from nanoscale to system scale.
Methods for highly multiplexed RNA imaging are limited in spatial resolution, and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt 10 expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to mouse brain, yielding readout of thousands of genes, including splice variants and novel transcripts. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in neurons of the mouse hippocampus, revealing patterns across multiple cell types; 15 layer-specific cell types across mouse visual cortex; and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus ExSeq enables highly multiplexed mapping of RNAs, from nanoscale to system scale.
One Sentence Summary:In situ sequencing of physically expanded specimens enables 20 multiplexed mapping of RNAs at nanoscale, subcellular resolution. Park for providing cultured neurons, Evan Murray for providing cultured HeLa cells, Kiryl Piatkevich for performing transcardial perfusions, Reza Kalhor for helpful discussions, and 10Eftychios A. Pnevmatikakis for helpful discussions on image processing. We also acknowledge the SpaceTx analysis working group, for help in clustering: Trygve Bakken, Zizhen Yao, Peter Kharchenko, and in gene selection: Eeshit Dhaval Vaishnav, Brian Aevermann, Richard Scheuermann, Kenneth Harris.
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