Explore the database

TF, cell types and tissues

Browse the full list of transcription factors, cell types and tissues in our database. Quickly lookup one and see if it's part of the database.

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Network view

Easily navigate through complex networks, exploring relationships between genes, tissues, and cell types.

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Datasets integrated

TF/Genes

Cell types

Tissues

An atlas of TF driven gene programs

CellRegulonDB is an extensive atlas of cell-type- and tissue-specific transcription factor effects across 15 organ systems. It is based on single cell data and was created by leveraging Human Cell Atlas (HCA) resources and pyScenic, an established computational method that takes both TF-gene co-expression and TF binding-motifs into account. For more detailed information please have a look at our preprint, and cite it if you use CellRegulon in your work:

"An atlas of TF driven gene programs across human cells", Pett et al., 2025, bioRxiv; https://doi.org/10.1101/2025.05.30.657075

You can explore CellRegulon gene networks by clicking on "Navigate network" and filtering for TFs, genes, cell types and tissues. The filtered gene regulatory interactions can be downloaded as CSV or PDF. In addition, a python package on GitHub allows to explore CellRegulon programmatically.

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Our Funders

We gratefully acknowledge support from our funders

Wellcome Trust
Human Cell Atlas
DiscovAIR
Marie Curie Actions

Our Team

Meet the researchers behind CellRegulonDB

Jan Patrick Pett

Jan Patrick Pett

Postdoctoral Researcher
Teichmann Lab

Martin Prete

Martin Prete

Team Leader
Wellcome Sanger Institute

Nick England

Nick England

Principal Bioinformatician
Teichmann Lab

Duy Pham

Duy Pham

Postdoctoral Researcher
Teichmann Lab

Sarah Teichmann

Sarah Teichmann

FMedSci FRS Wellcome Sanger Institute & University of Cambridge

Kerstin Meyer

Kerstin Meyer

Senior Research Scientist
Teichmann Lab