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Updated: Sep 9, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
Spatial joint profiling of DNA methylome and transcriptome in tissues
Chin Nien Lee1,2, Hongxiang Fu3,4,5, Angelysia Cardilla3,5
1Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. chinnien.lee@pennmedicine.upenn.edu.
Researchers developed a new method for whole-genome spatial co-profiling of DNA methylation and transcriptome. This technique maps epigenetic marks and gene expression in the same tissue section, advancing spatial omics for developmental and brain studies.
Area of Science:
- Epigenetics and Genomics
- Developmental Biology
- Neuroscience
Background:
- Spatial resolution is crucial for understanding tissue biology and cellular functions.
- Existing spatial omics methods lack the capacity to profile DNA methylation alongside other omics data.
- DNA methylation is a key epigenetic mark regulating gene expression.
Purpose of the Study:
- To introduce a novel method for whole-genome spatial co-profiling of DNA methylation and transcriptome.
- To enable near single-cell resolution mapping of both DNA methylation and RNA expression in the same tissue section.
- To explore the interplay between DNA methylation and gene expression in mammalian development and brain function.
Main Methods:
- Development of a new technology for simultaneous spatial profiling of DNA methylation and transcriptome.
- Application of the method to mouse embryos during development and the postnatal mouse brain.
- Generation of DNA-RNA bimodal tissue maps at near single-cell resolution.
Main Results:
- Creation of detailed spatial maps revealing the interplay between DNA methylation and gene expression.
- Identification of synergistic molecular definitions of cell identity through spatial patterns of methylation and transcriptome.
- Reconstruction of developmental dynamics in mouse embryogenesis, highlighting methylation-mediated transcriptional regulation.
Conclusions:
- The developed method successfully extends spatial omics to include DNA cytosine methylation.
- This technology provides a comprehensive understanding of tissue biology, development, and disease.
- The findings offer new insights into spatial programming, cell identity, and epigenetic regulation in mammals.
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