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Related Experiment Video

Updated: Feb 3, 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

EndoDB: a database of endothelial cell transcriptomics data.

Shawez Khan^1,2,3, Federico Taverna^1,3, Katerina Rohlenova^1,3

¹Department of Oncology and Leuven Cancer Institute (LKI), Laboratory of Angiogenesis and Vascular Metabolism, KU Leuven, 3000 Leuven, Belgium.

Nucleic Acids Research

|October 26, 2018

Summary

This summary is machine-generated.

EndoDB is a new database for endothelial cell (EC) transcriptomics data. It helps researchers easily access and analyze EC gene expression data to understand cell function and disease.

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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

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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Endothelial cells (ECs) are crucial for vascular homeostasis and disease.
High-throughput technologies generate vast EC transcriptomics data.
Bioinformatic analysis of EC data is challenging for many scientists.

Purpose of the Study:

To develop a user-friendly database for endothelial cell transcriptomics data.
To facilitate the re-use and analysis of publicly available EC gene expression datasets.
To provide insights into EC (dys)function and disease mechanisms.

Main Methods:

Curated and quality-assured transcriptomics data from 360 datasets.
Integrated bulk and single-cell RNA sequencing data from six organisms.
Web-accessible platform with pre-analyzed data and visualization tools.

Main Results:

EndoDB provides access to 4741 bulk and 5847 single-cell EC transcriptomes.
Enables exploration of gene deregulation, pathway analysis, and metabolic reprogramming.
Offers interactive, customizable, and downloadable plots and tables.

Conclusions:

EndoDB simplifies the analysis of endothelial cell transcriptomics data.
Facilitates biological discovery in EC biology and disease research.
Serves as a valuable resource for the scientific community, with ongoing updates.