| Literature DB >> 29930089 |
Xiao Wang1, William E Allen1,2, Matthew A Wright1,3, Emily L Sylwestrak1, Nikolay Samusik4, Sam Vesuna1, Kathryn Evans1, Cindy Liu1, Charu Ramakrishnan1, Jia Liu5, Garry P Nolan6, Felice-Alessio Bava6, Karl Deisseroth7,3,8.
Abstract
Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. We developed and applied a technology for 3D intact-tissue RNA sequencing, termed STARmap (spatially-resolved transcript amplicon readout mapping), which integrates hydrogel-tissue chemistry, targeted signal amplification, and in situ sequencing. The capabilities of STARmap were tested by mapping 160 to 1020 genes simultaneously in sections of mouse brain at single-cell resolution with high efficiency, accuracy, and reproducibility. Moving to thick tissue blocks, we observed a molecularly defined gradient distribution of excitatory-neuron subtypes across cubic millimeter-scale volumes (>30,000 cells) and a short-range 3D self-clustering in many inhibitory-neuron subtypes that could be identified and described with 3D STARmap.Entities:
Mesh:
Year: 2018 PMID: 29930089 PMCID: PMC6339868 DOI: 10.1126/science.aat5691
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728