Abstract

Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently deposited as raw data, a format difficult to access for biological researchers due to the need for data processing using complex computational pipelines. We have implemented an online database, PanglaoDB, accessible through a user-friendly interface that can be used to explore published mouse and human single cell RNA sequencing studies. PanglaoDB contains pre-processed and pre-computed analyses from more than 1054 single-cell experiments covering most major single cell platforms and protocols, based on more than 4 million cells from a wide range of tissues and organs. The online interface allows users to query and explore cell types, genetic pathways and regulatory networks. In addition, we have established a community-curated cell-type marker compendium, containing more than 6000 gene-cell-type associations, as a resource for automatic annotation of cell types.

Keywords

Computer scienceAnnotationCell typeComputational biologyCompendiumCellSingle-cell analysisWeb serverWorld Wide WebBiologyThe InternetGeneticsArtificial intelligence

MeSH Terms

AnimalsDatabasesNucleic AcidHumansMiceRNARNA-Seq

Affiliated Institutions

Related Publications

Publication Info

Year
2019
Type
article
Volume
2019
Citations
1495
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1495
OpenAlex
76
Influential
1250
CrossRef

Cite This

Oscar Franzén, Li‐Ming Gan, Johan Björkegren (2019). PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data. Database , 2019 . https://doi.org/10.1093/database/baz046

Identifiers

DOI
10.1093/database/baz046
PMID
30951143
PMCID
PMC6450036

Data Quality

Data completeness: 90%