bioRxivNeurosciencePreprint
Glial subcellular specialisation resolved with high resolution spatial transcriptomics
Samuel L BoulgeriD, Leire Melgosa-EcenarroiD, Magdalena ZielonkaiD, Kjara S PilchiD, Sasvi S. WijesingheiD, Carola I. RadulescuiD, Paul McMahan MatthewsiD, Samuel J. BarnesiD, Anna MallachiD
- Citations
- 0
Abstract
Cells in the brain have complex structures with extended processes. This complex morphology supports diverse specialized functions in health and disease, and specifically, cell processes appear to be critical for cellular integration and signalling. Here, we developed a new spatial averaging framework to recover and interrogate molecular phenotypes of glial processes in spatial transcriptomics (ST) data. We characterised cell type specific signatures associated with processes of astrocytes and microglia in both mouse and human brain tissue. Astrocytic processes were enriched for transcripts related to neuronal support relative to their soma, while microglial processes preferentially expressed genes linked to specific microglial states. When investigated in tissue from brains with Alzheimers Disease (AD) pathology, we found that local amyloid-{beta} pathology was associated with subcellular differences in transcriptomes in both an amyloid-{beta} mouse model and human AD patient tissue. Specifically, astrocytic and microglial processes oriented toward amyloid-{beta} plaques exhibited distinct molecular changes in comparison to processes extending away into plaque free areas, suggesting polarized glial responses to pathology. Our work thus outlines a general method for the selective characterisation of transcriptomics of glial processes in mouse and human ST data and provides evidence for differential transcriptomic responses between the soma and processes of glia in health and disease. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/737168v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@157455corg.highwire.dtl.DTLVardef@8ac0a2org.highwire.dtl.DTLVardef@16ccbf5org.highwire.dtl.DTLVardef@1c24cd0_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: spatial domain detection
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Uncovering Plaque-Glia Niches in Human Alzheimer's Disease Brains Using Spatial Transcriptomics
Denis R. Avey, Bernard Ng, … Yanling Wang·Molecular Neurodegeneration AdvancesPeer-reviewed·Jul 16, 2025
- Spatial and temporal transcriptomics reveal microglia-astroglia crosstalk in the amyloid-β plaque cell niche of Alzheimer’s disease
Wei-Ting Chen, Ashley Lu, … Bart De Strooper·CellPeer-reviewed·Jul 22, 2020
- Diverse human astrocyte and microglial transcriptional responses to Alzheimer's pathology
Amy M. Smith, Karen Davey, … Paul McMahan Matthews·Acta NeuropathologicaPeer-reviewed·Nov 12, 2021
- High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimers Disease
Kai Saito, Danielle S. Goulding, … Josh M. Morganti·bioRxiv·May 16, 2025
- Applying high-resolution spatial transcriptomics to characterise the amyloid plaque cell niche in Alzheimer's Disease
Anna Mallach, Magdalena Zielonka, … Bart De Strooper·Cell ReportsPeer-reviewed·May 30, 2024
- Multi-region spatial transcriptomics reveals region specific differences in response to amyloid beta (Aβ) plaque induced changes in Alzheimer's Disease (AD)
Odmaa Bayaraa, Michael Aksu, … Simon G. Gregory·Human GenomicsPeer-reviewed·Nov 29, 2025