ScienceGenomicsPeer-reviewed journal article
Expansion Sequencing: Spatially Precise In Situ Transcriptomics in Intact Biological Systems
Shahar AloniD, Daniel GoodwiniD, Anubhav SinhaiD, Asmamaw T. Wassie, Fei CheniD, Evan R DaugharthyiD, Yosuke BandoiD, Atsushi Kajita, Andrew G. XueiD, Karl Marrett, Robert PrioriD, Yi CuiiD, Andrew C. PayneiD, Chun‐Chen Yao, Ho‐Jun SukiD, Ru WangiD, Chih-Chieh YuiD, Paul W. TillbergiD, Paul ReginatoiD, Nikita PakiD, Songlei LiuiD, Sukanya PunthambakeriD, Eswar Prasad R. IyeriD, Richie E. KohmaniD, Jeremy A. MilleriD, , Kirsty SawickaiD
Abstract
AbstractMethods 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 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; 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 SummaryIn situ sequencing of physically expanded specimens enables multiplexed mapping of RNAs at nanoscale, subcellular resolution.
- organism: mouse
- organism: human
- assay: spatial transcriptomics
- assay: long-read sequencing
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 421
- FWCI
- 21.17
- Field percentile
- top 1%
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