4.8 Article

Three-dimensional intact-tissue sequencing of single-cell transcriptional states

Journal

SCIENCE
Volume 361, Issue 6400, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aat5691

Keywords

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Funding

  1. Life Science Research Foundation fellowship
  2. Gordon and Betty Moore Foundation
  3. Fannie and John Hertz Foundation Fellowship
  4. NSF Graduate Research Fellowship
  5. NIMH Ruth L. Kirschstein NRSA fellowship [1F32MH110144-01]
  6. NIMH Career Development Award [1K08MH113039]
  7. Bio-X Interdisciplinary Initiatives Seed Grant
  8. Parker Institute for Cancer Immunotherapy
  9. FDA
  10. NIH
  11. Human Frontiers Science Program
  12. NIMH [R01MH099647]
  13. NIDA [P50DA042012]
  14. DARPA NeuroFAST program [W911NF-14-2-0013]
  15. NSF NeuroNex program
  16. Gatsby Foundation
  17. AE Foundation
  18. NOMIS Foundation
  19. Fresenius Foundation
  20. Wiegers Family Fund
  21. James Grosfeld Foundation
  22. Sam and Betsy Reeves Foundation
  23. H.L. Snyder Foundation

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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.

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