| Literature DB >> 33509999 |
Shahar Alon1,2,3, Daniel R Goodwin1,2, Anubhav Sinha1,2,4, Asmamaw T Wassie1,2,5, Fei Chen1,6, George M Church7,8, Adam H Marblestone1, Edward S Boyden9,2,5,10,11,12, Evan R Daugharthy13,8, Yosuke Bando1,14, Atsushi Kajita15, Andrew G Xue1, Karl Marrett15, Robert Prior15, Yi Cui1,2, Andrew C Payne1,6, Chun-Chen Yao1,6, Ho-Jun Suk1,2,4, Ru Wang1,2, Chih-Chieh Jay Yu1,2,5, Paul Tillberg1, Paul Reginato1,5,6,13,8, Nikita Pak1,2,16, Songlei Liu13,8, Sukanya Punthambaker13,8, Eswar P R Iyer8, Richie E Kohman13,8, Jeremy A Miller17, Ed S Lein17, Ana Lako18, Nicole Cullen18, Scott Rodig18, Karla Helvie19, Daniel L Abravanel6,20,21, Nikhil Wagle19, Bruce E Johnson19, Johanna Klughammer6, Michal Slyper6, Julia Waldman6, Judit Jané-Valbuena6, Orit Rozenblatt-Rosen6, Aviv Regev6,10,11.
Abstract
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.Entities:
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Year: 2021 PMID: 33509999 PMCID: PMC7900882 DOI: 10.1126/science.aax2656
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728