Related Experiment Video
Updated: Aug 6, 2026

09:06
Spatially Resolved, Integrated Single-Cell Multiomic Profiling of the Transcriptome and Epigenomic Targets in Frozen Tissue Sections
Published on: June 12, 2026
Single Cell-Type Spatial Proteomics Uncovers Regional Heterogeneity of Astrocytes
Chien-Chang Huang1, Chiung-Yun Chang1, Po-Chao Chan1
1Syncell Inc., Taipei 115202, Taiwan.
Journal of Proteome Research
|July 17, 2026
Summary
Researchers developed a spatial proteomics method to profile astrocyte proteins directly in mouse brain tissue. This technique identified distinct protein signatures in the cortex and hippocampus, revealing new region-specific astrocyte markers.
Area of Science:
- Neuroscience
- Proteomics
- Cell Biology
Background:
- Astrocytes are crucial glial cells in the central nervous system (CNS), supporting brain function through diverse subpopulations.
- Understanding astrocyte heterogeneity is vital, but mRNA levels from sequencing don't always reflect protein function due to post-transcriptional regulation.
Purpose of the Study:
- To develop and apply a spatial proteomics platform for direct protein profiling of astrocytes in intact brain tissue.
- To identify region-specific astrocyte proteomic signatures and novel protein markers in the mouse brain.
Main Methods:
- Utilized Microscoop Mint, a microscopy-guided spatial proteomics platform.
- Integrated subcellular, region-specific sample preparation with LC-MS/MS mass spectrometry.
- Analyzed astrocyte protein profiles in paraformaldehyde-fixed, OCT-embedded mouse cerebral cortex and hippocampus.
Main Results:
- Uncovered distinct region-associated astrocyte proteomic signatures in the cerebral cortex and hippocampus.
- Identified MINK1 and PLEKHB1 as novel candidate protein markers with preferential expression in hippocampal and cortical astrocytes, respectively.
- Demonstrated the platform's capability for high-precision, unbiased spatial proteomic discovery at subcellular resolution.
Conclusions:
- Spatial proteomics provides essential protein-level insights into astrocyte heterogeneity, complementing transcriptomic data.
- The developed platform enables precise mapping of astrocyte molecular diversity and functional specialization.
- Identified potential region-specific markers (MINK1, PLEKHB1) for distinguishing astrocyte populations in different brain regions.

