ePoster

Spatial transcriptomics-correlated electron microscopy integrates transcriptional and ultrastructural responses to brain injury

Peter Androvic, Martina Schifferer, Katrin Perez Anderson, Ludovico Cantuti-Castelvetri, Hanyi Jiang, Hao Ji, Lu Liu, Garyfallia Gouna, Stefan Berghoff, Simon Besson-Girard, Johanna Knoferle, Mikael Simons, Ozgun Gokce
FENS Forum 2024(2024)
Messe Wien Exhibition & Congress Center, Vienna, Austria

Conference

FENS Forum 2024

Messe Wien Exhibition & Congress Center, Vienna, Austria

Resources

Authors & Affiliations

Peter Androvic, Martina Schifferer, Katrin Perez Anderson, Ludovico Cantuti-Castelvetri, Hanyi Jiang, Hao Ji, Lu Liu, Garyfallia Gouna, Stefan Berghoff, Simon Besson-Girard, Johanna Knoferle, Mikael Simons, Ozgun Gokce

Abstract

Understanding the complexity of cellular function within a tissue necessitates the combination of multiple phenotypic readouts. Here, we developed a method that links spatially-resolved gene expression of single cells with their ultrastructural morphology by integrating multiplexed error-robust fluorescence in situ hybridization (MERFISH) and large area volume electron microscopy (EM) on adjacent tissue sections. Using this method, we characterized in situ ultrastructural and transcriptional responses of glial cells and infiltrating T-cells after demyelinating brain injury in male mice. We identified a population of lipid-loaded “foamy” microglia located in the center of remyelinating lesion, as well as rare interferon-responsive microglia, oligodendrocytes, and astrocytes that co-localized with T-cells. We validated our findings using immunocytochemistry and lipid staining-coupled single-cell RNA sequencing. Finally, by integrating these datasets, we detected correlations between full-transcriptome gene expression and ultrastructural features of microglia. Our results offer an integrative view of the spatial, ultrastructural, and transcriptional reorganization of single cells after demyelinating brain injury.

Unique ID: fens-24/spatial-transcriptomics-correlated-c7dc5690