articleCellJun 24, 2024HYBRID OA

Open-ST: High-resolution spatial transcriptomics in 3D

Max Delbrück Center · Sapienza University of Rome · +10 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Spatial transcriptomics (ST) methods unlock molecular mechanisms underlying tissue development, homeostasis, or disease. However, there is a need for easy-to-use, high-resolution, cost-efficient, and 3D-scalable methods. Here, we report Open-ST, a sequencing-based, open-source experimental and computational resource to address these challenges and to study the molecular organization of tissues in 2D and 3D. In mouse brain, Open-ST captured transcripts at subcellular resolution and reconstructed cell types. In primary head-and-neck tumors and patient-matched healthy/metastatic lymph nodes, Open-ST captured the diversity of immune, stromal, and tumor populations in space, validated by imaging-based ST. Distinct…

Citation impact

188
total citations
FWCI
39.44
Percentile
100%
References
93
Citations per year

Authors

18

Topics & keywords

Keywords
  • Biology
  • Computational biology
  • Transcriptome
  • Lymph node
  • Stromal cell
  • Bioinformatics
  • Cancer research
  • Immunology
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