ArticleNucleic acids research2019
EndoDB: a database of endothelial cell transcriptomics data.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
56 citing papers in PubMed.
- Pannexins in the vasculature.American journal of physiology. Heart and circulatory physiology · 2025Review
- Microenvironmental determinants of endothelial cell heterogeneity.Nature reviews. Molecular cell biology · 2025Review
- Navigating single-cell RNA-sequencing: protocols, tools, databases, and applications.Genomics & informatics · 2025Review
- Translational regulation of SND1 governs endothelial homeostasis during stress.The Journal of clinical investigation · 2025Article
- EndothelialFrontiers in cell and developmental biology · 2025Article
- Spermine Synthase : A Potential Prognostic Marker for Lower-Grade Gliomas.Journal of Korean Neurosurgical Society · 2025Article
- Endothelial Zmiz1 modulates physiological and pathophysiological angiogenesis during retinal development.bioRxiv : the preprint server for biology · 2024Article
- A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations.ArXiv · 2024Article
- Article
- Bulking up to shed light on leaky transcription in endothelium.Nature cardiovascular research · 2024Article
- The BulkECexplorer compiles endothelial bulk transcriptomes to predict functional versus leaky transcription.Nature cardiovascular research · 2024Article
- Pannexin-3 stabilizes the transcription factor Bcl6 in a channel-independent manner to protect against vascular oxidative stress.Science signaling · 2024Article
- Single cell 'omic profiles of human aortic endothelial cellsbioRxiv : the preprint server for biology · 2024Article
- Autophagy Behavior in Endothelial Cell Regeneration.Current aging science · 2024Review
- A systematic overview of single-cell transcriptomics databases, their use cases, and limitations.Frontiers in bioinformatics · 2024Review
- Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment.JCI insight · 2023Article
- Tree of life: endothelial cell in norm and disease, the good guy is a partner in crime!Anatomy & cell biology · 2023Review
- Vector Affinity and Receptor Distribution Define Tissue-Specific Targeting in an Engineered AAV Capsid.Journal of virology · 2023Article
- Multi-omics delineation of cytokine-induced endothelial inflammatory states.Communications biology · 2023Article
- Thymidine phosphorylase facilitates retinoic acid inducible gene-I induced endothelial dysfunction.Cell death & disease · 2023Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endothelial cells (ECs) line blood vessels, regulate homeostatic processes (blood flow, immune cell trafficking), but are also involved in many prevalent diseases. The increasing use of high-throughput technologies such as gene expression microarrays and (single cell) RNA sequencing generated a wealth of data on the molecular basis of EC (dys-)function. Extracting biological insight from these datasets is challenging for scientists who are not proficient in bioinformatics. To facilitate the re-use of publicly available EC transcriptomics data, we developed the endothelial database EndoDB, a web-accessible collection of expert curated, quality assured and pre-analyzed data collected from 360 datasets comprising a total of 4741 bulk and 5847 single cell endothelial transcriptomes from six different organisms. Unlike other added-value databases, EndoDB allows to easily retrieve and explore data of specific studies, determine under which conditions genes and pathways of interest are deregulated and assess reprogramming of metabolism via principal component analysis, differential gene expression analysis, gene set enrichment analysis, heatmaps and metabolic and transcription factor analysis, while single cell data are visualized as gene expression color-coded t-SNE plots. Plots and tables in EndoDB are customizable, downloadable and interactive. EndoDB is freely available at https://vibcancer.be/software-tools/endodb, and will be updated to include new studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.