PreprintCited by 26Single-cell and spatial transcriptomicsGenomics and Phylogenetic StudiesGene expression and cancer classification

Spatial transcriptome sequencing of FFPE tissues at cellular level

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Liu, Yang, Enninful, Archibald, Deng, Yanxiang, Fan, Rong·2020·bioRxiv (Cold Spring Harbor Laboratory)

Abstract

Formalin-fixed paraffin-embedded (FFPE) tissues are the most abundant archivable specimens in clinical tissue banks, but unfortunately incompatible with single-cell level whole transcriptome sequencing due to RNA degradation in storage and RNA damage in extraction. We developed an in-tissue barcoding approach namely DBiT-seq for spatially revolved whole transcriptome sequencing at cellular level, which required no tissue dissociation or RNA exaction, thus potentially more suited for FFPE samples. Herein, we demonstrated spatial transcriptome sequencing of embryonic and adult mouse FFPE tissue sections at cellular level (25μm pixel size) with high coverage (>1,000 genes per pixel). Spatial transcriptome of an E10.5 mouse embryo identified all major anatomical features in the brain and abdominal region. Integration with singlecell RNA-seq data for cell type identification indicated that most tissue pixels were dominated by single-cell transcriptional phenotype. Spatial mapping of adult mouse aorta, atrium, and ventricle tissues identified the spatial distribution of a variety of cell types. Spatial transcriptome sequencing of FFPE samples at cellular level may provide enormous opportunities in a wide range of biomedical research. It may allow us to exploit the huge resource of clinical tissue specimens to study human disease mechanisms and discover tissue biomarkers or therapeutic targets.

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Authors
Liu, Y., Enninful, A., Deng, Y., & Fan, R.
Affiliations
Yale Cancer Center (US)
Corresponding author
Fan, Rong
Venue
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Published
2020-10-14
OpenAlex
W4230252429
Cited by
26
References
32
Citations by year
2026: 2 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 6 · 2021: 3
Type
posted content
Language
en
Open access
Locations
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
Funders
  • National Science Foundation (1351443, CAREER)
  • Yale University
  • Li Ka Shing Foundation
  • Society for Immunotherapy of Cancer
  • National Institutes of Health (CA209992)
  • Stand Up To Cancer
  • National Cancer Institute (UG3CA257393, U54CA209992, R01CA245313)
  • National Institute of Diabetes and Digestive and Kidney Diseases (U54DK106857)
  • Division of Chemical, Bioengineering, Environmental, and Transport Systems
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Keywords
spatial transcriptomics, formalin-fixed paraffin-embedded tissue, mouse embryo, mouse heart, cell type annotation, tissue biomarkers

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