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Related Experiment Video

Updated: Jan 16, 2026

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

Exploring endothelial cell environments across organs in spatially resolved omics data.

Yashvardhan Jain¹, Jodie Jepson², Roy Chen²

¹Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.

Biorxiv : the Preprint Server for Biology

|October 3, 2025

Summary

This study maps cell distances to endothelial cells across 12 human tissues using spatial omics data. An interactive tool visualizes these cell neighborhoods, providing a valuable resource for biological research.

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Last Updated: Jan 16, 2026

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Area of Science:

Spatial biology
Cellular microenvironment
Human tissue atlases

Background:

Endothelial cells are crucial for vascular and lymphatic systems.
Cell proximity to endothelial cells influences cellular function due to oxygen gradients.
Understanding cell-cell distances is key to interpreting tissue organization and function.

Purpose of the Study:

To quantify cell-to-nearest-endothelial-cell distances across diverse human tissues.
To develop an interactive tool for visualizing spatial cell relationships.
To analyze endothelial cell neighborhoods in intestinal tissues.

Main Methods:

Analysis of 399 spatially resolved omics datasets (47,349,496 cells) from 12 tissue types.
Development of the open-source Cell Distance Explorer web tool.
Hierarchical neighborhood analysis of endothelial cells in intestinal datasets.

Main Results:

Generated cell-to-nearest-endothelial-cell distance distributions for various cell types.
The Cell Distance Explorer tool enables interactive 2D and 3D visualization of cell graphs.
Characterized endothelial cell neighborhoods in small and large intestine tissues.

Conclusions:

Provides a comprehensive, open-access resource for spatial cell distance and neighborhood analysis.
Facilitates comparative studies of cell proximity to endothelial cells across different tissues.
Enables deeper understanding of tissue architecture and cellular interactions in health and disease.