scBrainMap: a landscape for cell types and associated genetic markers in the brain

Author:

Chi Yuhao1,Qi Ruicheng1,Zhou Yue2,Tong Huige1,Jin Hanbo3,Turck Christoph W4,Chen Wei-Hua3ORCID,Wang Guang-Zhong1ORCID

Affiliation:

1. CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences , No. 320 Yueyang Road, Shanghai 200031, China

2. Department of Mathematics, Guangxi University , No. 100 East University Road, Nanning, Guangxi 530004, China

3. Department of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology ,No. 1037 Luoyu Road, Wuhan 430074, China

4. Proteomics and Biomarkers, Max Planck Institute of Psychiatry , No. 2-10 Kraepelinstr, Munich 80804, Germany

Abstract

Abstract The great variety of brain cell types is a fundamental element for neuronal circuits. One major goal of modern neuroscience is to decipher the various types of cellular composition and characterize their properties. Due to the high heterogeneity of neuronal cells, until recently, it was not possible to group brain cell types at high resolution. Thanks to the single-cell transcriptome technology, a dedicated database of brain cell types across species has been established. Here, we developed scBrainMap, a database for brain cell types and associated genetic markers for several species. The current scBrainMap database contains 4881 cell types with 26 044 genetic markers identified from 6 577 222 single cells, which link to 14 species, 124 brain regions and 20 different disease states. scBrainMap enables users to perform customized, cross-linked, biologically relevant queries for different cell types of interest. This quantitative information facilitates exploratory research on the role of cell types with regard to brain function in health and disease. Database URL https://scbrainmap.sysneuro.net/

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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