bioRxivBioinformaticsPreprint
Exploring endothelial cell environments across organs in spatially resolved omics data
Yashvardhan JainiD, Jodie JepsoniD, Roy CheniD, Elizabeth MaieriD, Bruce W. HerriD, Aleix Puig-BarbeiD, Ellen M. QuardokusiD, Danial QaurooniiD, Clarence YappiD, Samuel L. EwingiD, Archibald EnninfuliD, Negin FarzadiD, Andreas BueckleiD, Quinn T. EasteriD, Bruno Fernandes MatuckiD, Chenchen ZhuiD, Emma MonteiD, Jeffrey M. PurkersoniD, Matthew G. JehrioiD, Ravi S. MisraiD, Rong FaniD, Fiona GintyiD, Arivarasan D. KarunamurthyiD, Jean FaniD, Martha Campbell‐ThompsoniD, , Katy BörneriD
- Citations
- 5
Abstract
Endothelial cells are ubiquitously present in the human body and line the luminal surface of blood and lymphatic vessels. The oxygen-dependence of cells impacts their proximity to blood vessels, and consequently, to endothelial cells depending on their functional properties and priorities. This paper presents cell-to-nearest-endothelial-cell distance distributions for various cell types using 399 spatially resolved omics datasets from 14 studies comprising 12 tissue types with a total of 47,349,496 cells. Additionally, we developed an open-source web-based interactive tool, Cell Distance Explorer, that allows researchers to interactively visualize cell graphs and linkages in 2D and 3D datasets. Finally, we present a hierarchical neighborhood analysis focused on the endothelial cell neighborhoods in small and large intestine datasets. This paper provides an open-access resource (datasets, tools, and analyses) to characterize and compare cell distances and cell neighborhoods in spatially resolved omics data.
- organism: human
- assay: spatial transcriptomics
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- approach: simulation
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