What is this database?

PanglaoDB is a database for the scientific community interested in exploration of single cell RNA sequencing experiments from mouse and human. We collect and integrate data from multiple studies and present them through a unified framework.

Usage examples

What is single cell RNA sequencing?

Adapted from the Wikipedia article on the topic: Single cell RNA sequencing examines the transcriptomes from individual cells with optimized next generation sequencing technologies, providing a higher resolution of gene expression and a better understanding of the function of an individual cell in the context of its microenvironment.

Database statistics
Mus musculus Homo sapiens
Samples 856229
Tissues 154 60
Cells 3,529,893829,342
Clusters 8,6511,748
Dataset of the day
Take a closer look at the cellular composition of Small intestine, using a dataset which consists of 766 cells. Clustering of this dataset resulted in 5 cell clusters, containing among others, Enterocytes.
19-03-2019 Our manuscript entitled "PanglaoDB: A Web Server for Exploration of Mouse and Human Single Cell RNA Sequencing Data" has been accepted in the journal Database.
18-03-2019 Markers can be voted for now. In an experiment to try to extract crowd-enabled wisdom, we have introduced a voting function for markers. Markers can be upvoted or downvoted using small arrows on the marker page. Each visitor has one vote per marker-cell type. An anonymous hash is computed to store voting status. Arrows become visible when selecting a specific cell type from the list. Voting requires no registration (may change if we detect bots) and it is done anonymously.
Show older news
18-02-2019 Converting RData to plain text gzip files for faster download.
08-02-2019 Running updates. Some features will not work during the day and the server will be slow.
07-02-2019 Service was interrupted for a few hours due to upgrades.
02-01-2019 Our manuscript was submitted a few weeks ago and is now on review.
12-12-2018 Bug in the search fixed. A coding typo rendered the search broken. Thanks to the user that reported it.
19-11-2018 Differential expression analysis now takes input threshold arguments (q-value and log fold change).
16-11-2018 Differential expression analysis is now available. Enter the interactive view for a sample, then click the "Differential expression" link.