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Brash, J. T.

Publications and source records attributed to Brash, J. T..

2 recordsLinked to original sources

Targeting NRP1 with EG00229 induces neurovascular permeability

NRP1 is a therapeutic target for inhibiting vascular endothelial growth factor (VEGF)-induced blood vessel dysfunction. The small molecule EG00229 was designed to inhibit VEGF binding to NRP1 and reduce pathological blood vessel growth. However, it is unknown whether EG00229 could also be used to reduce VEGF164-induced vascular leakage, which often exacerbates ischemic diseases due to VEGF upregulation. Here, we show that prior treatment with EG00229 prevents VEGF164-induced vascular permeability signalling, but, unexpectedly, also find that EG00229 increased rather than inhibited vascular leakage. Thus, EG00229 increased vascular leakage either when added alone or concurrently with VEGF164, both in perfused retinal explants and across primary brain EC monolayers. This EG00229-induced vascular leakage was not an off-target effect, because it relied on endothelial NRP1 expression and NRP1s VEGF164 binding pocket, yet was independent of VEGFR1 and VEGFR2. Moreover, EG00229 activated molecular events typical of VEGF164-induced paracellular permeability, including p38 MAP kinase (p38) and SRC family kinase (SFK) phosphorylation as well as CDH5 rearrangement in endothelial junctions. Investigating EG00229-induced signalling therefore helps elucidate NRP1-dependent mechanisms of paracellular permeability induction and might help identifying new approaches to modulate the neurovascular barrier.

physiology↗

BulkECexplorer: a bulk RNAseq compendium of five endothelial subtypes that predicts whether genes are active or leaky

Transcriptomic data obtained by single cell (sc) RNAseq or bulk RNAseq can be mined to understand the molecular activity of cell types. Yet, lowly expressed but functional genes may remain undetected in RNAseq experiments for technical reasons, such as insufficient read depth or gene drop out in scRNAseq assays. By contrast, bulk RNAseq assays may detect lowly expressed mRNA transcripts thought to be the biologically irrelevant products of leaky transcription. To more accurately represent a cells functional transcriptome, we propose compiling many bulk RNAseq datasets into a compendium and applying established classification models to predict whether the detected genes are likely active or leaky in that cell type. Here, we have created such a compendium for vascular endothelial cells from several mouse and human organs, termed the BulkECexplorer.

bioinformatics↗