Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain

Author:

Lake Blue B.1,Ai Rizi2,Kaeser Gwendolyn E.34,Salathia Neeraj S.5,Yung Yun C.3,Liu Rui1,Wildberg Andre2,Gao Derek1,Fung Ho-Lim1,Chen Song1,Vijayaraghavan Raakhee5,Wong Julian3,Chen Allison3,Sheng Xiaoyan3,Kaper Fiona5,Shen Richard5,Ronaghi Mostafa5,Fan Jian-Bing5,Wang Wei2,Chun Jerold3,Zhang Kun1

Affiliation:

1. Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.

2. Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.

3. Department of Molecular and Cellular Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA, USA.

4. Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA.

5. Illumina, San Diego, CA, USA.

Abstract

Single-nucleus gene expression Identifying the genes expressed at the level of a single cell nucleus can better help us understand the human brain. Blue et al. developed a single-nuclei sequencing technique, which they applied to cells in classically defined Brodmann areas from a postmortem brain. Clustering of gene expression showed concordance with the area of origin and defining 16 neuronal subtypes. Both excitatory and inhibitory neuronal subtypes show regional variations that define distinct cortical areas and exhibit how gene expression clusters may distinguish between distinct cortical areas. This method opens the door to widespread sampling of the genes expressed in a diseased brain and other tissues of interest. Science , this issue p. 1586

Funder

NIH Common Fund Single Cell Analysis Program

Neuroplasticity of Aging

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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