Kavli Affiliate: Jean Fan
| Authors: Yashvardhan Jain, Jodie Jepson, Roy Chen, Elizabeth Maier, Bruce W. Herr II, Aleix Puig-Barbe, Ellen M. Quardokus, Danial Qaurooni, Clarence Yapp, Samuel L. Ewing, Archibald Enninful, Negin Farzad, Andreas Bueckle, Quinn T. Easter, Bruno Matuck, Chenchen Zhu, Emma Marie Monte, Jeffrey M. Purkerson, Matthew Jehrio, Ravi S. Misra, Rong Fan, Fiona Ginty, Arivarasan Karunamurthy, Jean Fan, Martha Campbell-Thompson, Gloria S. Pryhuber, Kevin M. Byrd, John W. Hickey and Katy Börner
| Summary:
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.