Neurovascular Unit

Vascular Basement Membrane Laminins

Extracellular matrix instructs vascular identity

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Journal of Cerebral Blood Flow & Metabolism, 2026 DOI: 10.1177/0271678X251410040

Laminin composition in the vascular basement membrane is not merely structural — it actively instructs endothelial identity, mural-cell programs and stroke outcome.

Approach

  • Single-cell RNA sequencing of cerebral microvessels
  • Segment-resolved imaging and histopathology
  • Genetic mouse models (laminin α4 loss)
  • Functional stroke outcome studies

First author — University of Münster


My work helped define how vascular basement membrane laminins regulate functional zonation of cerebral microvessels. By integrating single-cell RNA sequencing, imaging and functional studies in genetic mouse models, I showed that vascular laminin composition is not only structural but also instructive for endothelial identity, mural-cell programs, permeability-associated pathways and stroke outcome.

From heterogeneity to instruction

The field had long described vascular heterogeneity along the arteriovenous axis. What was missing was a cause. Loss of laminin α4 shifted endothelial identity, altered mural-cell programs, increased permeability-associated pathways and worsened stroke outcome — moving the field from descriptive vascular heterogeneity to a mechanistic view in which extracellular matrix composition instructs vascular specialization and disease vulnerability.

This also builds directly on earlier work in which I helped define the molecular architecture of perivascular drainage pathways, showing that arterial, capillary, venous, pial and arachnoid compartments can be distinguished by extracellular-matrix and structural marker signatures.

Why this matters

Establishes the extracellular matrix as a tractable lever on barrier function and stroke outcome — not just scaffolding, but a regulator of endothelial state.

Highlights

  • Single-cell RNA-seq
  • Laminin α4
  • Vascular zonation
  • Blood-brain barrier
  • Stroke outcome
  • Genetic mouse models

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