Open-ST: High-resolution spatial transcriptomics in 3D
Max Delbrück Center · Sapienza University of Rome · +10 more institutions
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
- FWCI
- 39.44
- Percentile
- 100%
- References
- 93
Authors
18Topics & keywords
- Biology
- Computational biology
- Transcriptome
- Lymph node
- Stromal cell
- Bioinformatics
- Cancer research
- Immunology
Funding
- JHJoachim Herz Stiftung
- DZDeutsches Zentrum für Herz-KreislaufforschungAward: 81X2100155
- ECEuropean CommissionAward: CN_00000041
- DADeutscher Akademischer Austauschdienst
- DFDeutsche ForschungsgemeinschaftAwards: RA 838/5-1, KA 5006/1-1
- SUSyddansk Universitet
- BIBerlin Institute of Health
- LLeibniz-Gemeinschaft