Back

Uncovering the transcriptomic heterogeneity of pancreatic endothelial cells using integrative and comparative single cell gene expression analysis

Khan, S. T.; Ahuja, N.; Taib, S.; Vohra, S.; Cleaver, O.; Nunes, S. S.

2023-04-20 cell biology
10.1101/2023.04.19.537540 bioRxiv
Show abstract

The pancreatic islet vasculature displays tissue-specific physiological and functional adaptations that support rapid glucose sensing and insulin response by {beta}-cells. To uncover the transcriptomic basis of this specialization, we performed a meta-analysis of multi-organ single cell RNA sequencing atlases employing a unique strategy to avoid transcriptomic contamination. We identified biologically relevant genes involved in sphingosine-1-phosphate-mediated insulin-secretion (PLPP1, RDX, CDC42EP1), islet basement membrane formation (SPARC, COL15A1), endothelial cell (EC) permeability (PLVAP, EHD4), membrane transporters (CD320, SLCO2A1) and developmental transcription factors (NKX2-3, AHR). These were validated in silico in independent datasets. We further established the first integrated transcriptomic atlas of human pancreatic ECs and described two unique capillary subpopulations: exocrine and endocrine pancreas ECs. We validated the spatial localization of key markers using RNAscope and immunofluorescence staining on mouse pancreatic tissue cross-sections. Our findings provide novel insights into pancreatic EC heterogeneity and islet EC function with potential implications in therapeutic strategies.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.