← BioTransfer GEO Dataset Finder
GEO series

Vascular Basement Membrane Laminins Modulate Functional Zonation of Cerebral Microvessels [scRNA-seq]

GSE308748 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2026/02/25 Platform GPL19057
Summary
We investigated whether vascular basement membrane (BM) laminins influence vascular zonation by performing single-cell RNA sequencing (scRNAseq) on cerebral blood vessels from Lama4-/- mice - lacking the major vascular laminin 4 in endothelial and smooth muscle BMs - and wild-type littermates. Our dataset expands existing cerebral vascular transcriptomic profiles and reveals that Lama4-/- endothelial cells exhibit increased arterial marker expression and reduced postcapillary venule identity. In vitro and in vivo studies indicate that compensatory upregulation of laminin 5 in Lama4-/- vessels enhances expression of junctional proteins (Ocln, Cldn5) and promotes vessel contractility via increased expression of contractile genes in pericytes, which reside within the endothelial BM. Additionally, loss of Lama4 upregulates expression of large artery markers (Gja4, Dll4, Edn1,Tgfb2) and resulted in elevated autotaxin (Enpp2) levels, a key enzyme in lysophosphatidic acid production implicated in stroke. Accordingly, Lama4-/- mice exhibit worsened stroke outcomes, driven not by immune infiltration or junctional defects, but by increased vascular permeability likely mediated by autotaxin and/or activation of resident myeloid cells. Our data suggest that laminin 4/5 ratios in vascular BMs regulate functional zonation between arterioles, capillaries and postcapillary venules by modulating metabolic pathways in endothelial and mural cells, and indirectly influencing resident myeloid cells.
Published in
Vascular basement membrane laminins modulate functional zonation of cerebral microvessels
Deshpande T, Kapupara K, Hannocks MJ et al. · Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 2026 · PMID 41696806 · doi:10.1177/0271678X251410040
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE308748_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1332648 and SRA study SRP624524. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.