Nature CommunicationsNeurosciencePeer-reviewed journal article
Spatial Transcriptomics-correlated Electron Microscopy
Peter AndroviciD, Martina SchiffereriD, Katrin Perez Anderson, Ludovico Cantuti‐CastelvetriiD, Hanyi JiangiD, Hao JiiD, Lu LiuiD, Garyfallia GounaiD, Stefan A. BerghoffiD, Simon Besson‐GirardiD, Johanna Knöferle, Mikael SimonsiD, Özgün GökçeiD
Abstract
Current spatial transcriptomics methods identify cell states in a spatial context but lack morphological information. Scanning electron microscopy, in contrast, provides structural details at nanometer resolution but lacks molecular decoding of the diverse cellular states. To address this, we correlated MERFISH spatial transcriptomics with large area volume electron microscopy using adjacent tissue sections. We applied our technology to characterize the damage-associated microglial identities in mouse brain, allowing us, for the first time, to link the morphology of foamy microglia and interferon-response microglia with their transcriptional signatures.
- organism: mouse
- assay: spatial transcriptomics
- assay: electronic health records
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 68
- FWCI
- 6.03
- Field percentile
- top 2%
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