Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

Full name: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases
Description: SPEED is the largest pan-species single cell database at present, covering 127 species to date. SPEED also collects various scRNA-seq atlases in evolution, development and disease, providing an ecological and evolutionary perspective for the study of development and disease.
Year founded: 2022
Last update:
Version: v1.0
Real time : Checking...
Country/Region: China

Classification & Tag

Data type:
Data object:
Database category:
Major species:

Contact information

University/Institution: Chinese Academy of Medical Sciences and Peking Union Medical College
Address: 100 Chongwen Road, Suzhou Industrial Park, Suzhou, China, 215123
City: Beijing
Country/Region: China
Contact name (PI/Team): Dongsheng Chen
Contact email (PI/Helpdesk):


SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases. [PMID: 36305818]
Yangfeng Chen, Xingliang Zhang, Xi Peng, Yicheng Jin, Peiwen Ding, Jiedan Xiao, Changxiao Li, Fei Wang, Ashley Chang, Qizhen Yue, Mingyi Pu, Peixin Chen, Jiayi Shen, Mengrou Li, Tengfei Jia, Haoyu Wang, Li Huang, Guoji Guo, Wensheng Zhang, Hebin Liu, Xiangdong Wang, Dongsheng Chen

It is a challenge to efficiently integrate and present the tremendous amounts of single-cell data generated from multiple tissues of various species. Here, we create a new database named SPEED for single-cell pan-species atlas in the light of ecology and evolution for development and diseases (freely accessible at or SPEED is an online platform with 4 data modules, 7 function modules and 2 display modules. The 'Pan' module is applied for the interactive analysis of single cell sequencing datasets from 127 species, and the 'Evo', 'Devo', and 'Diz' modules provide comprehensive analysis of single-cell atlases on 18 evolution datasets, 28 development datasets, and 85 disease datasets. The 'C2C', 'G2G' and 'S2S' modules explore intercellular communications, genetic regulatory networks, and cross-species molecular evolution. The 'sSearch', 'sMarker', 'sUp', and 'sDown' modules allow users to retrieve specific data information, obtain common marker genes for cell types, freely upload, and download single-cell datasets, respectively. Two display modules ('HOME' and 'HELP') offer easier access to the SPEED database with informative statistics and detailed guidelines. All in all, SPEED is an integrated platform for single-cell RNA sequencing (scRNA-seq) and single-cell whole-genome sequencing (scWGS) datasets to assist the deep-mining and understanding of heterogeneity among cells, tissues, and species at multi-levels, angles, and orientations, as well as provide new insights into molecular mechanisms of biological development and pathogenesis.

Nucleic Acids Res. 2023:51(D1) | 10 Citations (from Europe PMC, 2024-06-15)


All databases:
1075/6000 (82.1%)
Phylogeny and homology:
48/259 (81.853%)
207/982 (79.022%)
Health and medicine:
245/1394 (82.496%)
Total Rank

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Cited by

Record metadata

Created on: 2023-08-23
Curated by:
Xinyu Zhou [2023-09-19]
Yuxin Qin [2023-09-12]
Xinyu Zhou [2023-09-11]
Yue Qi [2023-08-23]