The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain

Autor: Hui Zhang, Haifang Wang, Xiaoyu Shen, Xinling Jia, Shuguang Yu, Xiaoying Qiu, Yufan Wang, Jiulin Du, Jun Yan, Jie He

Publikováno v: eLife, Vol 10 (2021)

Multidimensional landscapes of regulatory genes in neuronal phenotypes at whole-brain levels in the vertebrate remain elusive. We generated single-cell transcriptomes of ~67,000 region- and neurotransmitter/neuromodulator-identifiable cells from larv

Externí odkaz: https://doaj.org/article/8c4ff40825c042138864b2e44cfd0c7c

The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain.

Autor: Zhang H; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Wang H; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Shen X; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Jia X; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Yu S; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Qiu X; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Wang Y; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; University of Chinese Academy of Sciences, Beijing, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China., Du J; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China.; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China., Yan J; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China.; School of Future Technology, University of Chinese Academy of Sciences, Beijing, China., He J; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China.

Publikováno v: ELife [Elife] 2021 Dec 13; Vol. 10. Date of Electronic Publication: 2021 Dec 13.