SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases

被引:20
作者
Chen, Yangfeng [1 ,2 ]
Zhang, Xingliang [3 ,4 ]
Peng, Xi [1 ,2 ,5 ]
Jin, Yicheng [1 ,2 ]
Ding, Peiwen [1 ,2 ]
Xiao, Jiedan [1 ,2 ]
Li, Changxiao [1 ,2 ]
Wang, Fei [6 ]
Chang, Ashley [1 ,2 ]
Yue, Qizhen [7 ]
Pu, Mingyi [8 ]
Chen, Peixin [9 ]
Shen, Jiayi [10 ]
Li, Mengrou [11 ]
Jia, Tengfei [11 ]
Wang, Haoyu [5 ]
Huang, Li [12 ]
Guo, Guoji [13 ]
Zhang, Wensheng [9 ,10 ]
Liu, Hebin [11 ]
Wang, Xiangdong [14 ]
Chen, Dongsheng [1 ,2 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Inst Syst Med, Beijing 100005, Peoples R China
[2] Suzhou Inst Syst Med, Suzhou 215123, Peoples R China
[3] Shenzhen Childrens Hosp, Inst Pediat, Dept Resp Dis, Shenzhen 518038, Peoples R China
[4] Guangdong Med Univ, Affiliated Hosp, Dept Pediat, Zhanjiang 524001, Peoples R China
[5] Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
[6] Aarhus Univ, Dept Biomed, DK-8000 Aarhus, Denmark
[7] Univ Chinese Acad Sci, Chinese Acad Sci, CAS Ctr Excellence Mol Cell Sci, State Key Lab Cell Biol,Shanghai Inst Biochem & C, Shanghai 200031, Peoples R China
[8] Sun Yat Sen Univ, Dept Med, Shenzhen 518106, Peoples R China
[9] Soochow Univ, Med Coll, Cam Su Genom Resource Ctr, Suzhou 215123, Peoples R China
[10] Binzhou Med Univ, Sch Basic Med Sci, Peninsula Canc Res Ctr, Yantai, Peoples R China
[11] Soochow Univ, Inst Biol & Med Sci IBMS, Suzhou 215123, Peoples R China
[12] Tsinghua Univ, Future Lab, Beijing 100084, Peoples R China
[13] Zhejiang Univ, Sch Med, Ctr Stem Cell & Regenerat Med, Hangzhou 310058, Peoples R China
[14] Zhongshan Hosp, Dept Pulm & Crit Care Med, Inst Clin Sci, Shanghai Inst Clin Bioinformat, Shanghai 200032, Peoples R China
关键词
LUNG; EXPRESSION; PLATFORM;
D O I
10.1093/nar/gkac930
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 http://8.142.154.29 or http://speedatlas.net ). 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', 'shMarker, '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.
引用
收藏
页码:D1150 / D1159
页数:10
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