Abstract

We present Light-Seq, an approach for multiplexed spatial indexing of intact biological samples using light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Light-Seq combines spatially targeted, rapid photocrosslinking of DNA barcodes onto complementary DNAs in situ with a one-step DNA stitching reaction to create pooled, spatially indexed sequencing libraries. This light-directed barcoding enables in situ selection of multiple cell populations in intact fixed tissue samples for full-transcriptome sequencing based on location, morphology or protein stains, without cellular dissociation. Applying Light-Seq to mouse retinal sections, we recovered thousands of differentially enriched transcripts from three cellular layers and discovered biomarkers for a very rare neuronal subtype, dopaminergic amacrine cells, from only four to eight individual cells per section. Light-Seq provides an accessible workflow to combine in situ imaging and protein staining with next generation sequencing of the same cells, leaving the sample intact for further analysis post-sequencing.

Light-Seq uses light-directed DNA barcoding in fixed cells and tissues for multiplexed spatial indexing and subsequent next generation sequencing. This approach blends spatial and omics information to enable analysis of rare cell types in complex tissues.

Details

Title
Light-Seq: light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing
Author
Kishi, Jocelyn Y. 1   VIAFID ORCID Logo  ; Liu, Ninning 2 ; West, Emma R. 3 ; Sheng, Kuanwei 2   VIAFID ORCID Logo  ; Jordanides, Jack J. 2 ; Serrata, Matthew 2 ; Cepko, Constance L. 4   VIAFID ORCID Logo  ; Saka, Sinem K. 5   VIAFID ORCID Logo  ; Yin, Peng 1   VIAFID ORCID Logo 

 Harvard University, Wyss Institute for Biologically Inspired Engineering, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Harvard University, Wyss Institute for Biologically Inspired Engineering, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Blavatnik Institute, Harvard Medical School, Department of Genetics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Howard Hughes Medical Institute, Chevy Chase, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581) 
 Blavatnik Institute, Harvard Medical School, Department of Genetics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Howard Hughes Medical Institute, Chevy Chase, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581); Harvard Medical School, Department of Ophthalmology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Harvard University, Wyss Institute for Biologically Inspired Engineering, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany (GRID:grid.4709.a) (ISNI:0000 0004 0495 846X) 
Pages
1393-1402
Publication year
2022
Publication date
Nov 2022
Publisher
Nature Publishing Group
ISSN
15487091
e-ISSN
15487105
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2731951965
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.