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

Blue B. Lake; Rizi Ai; Gwendolyn E. Kaeser; Neeraj Salathia; Yun C. Yung; Rui Liu; André Wildberg; Derek Gao; Ho-Lim Fung; Song Chen; Raakhee Vijayaraghavan; Julian Wong; Allison Chen; Xiaoyan Sheng; Fiona Kaper; Richard Shen; Mostafa Ronaghi; Jian‐Bing Fan; Wei Wang; Jerold Chun; Kun Zhang

doi:10.1126/science.aaf1204

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

Keywords

Human brainBiologyNucleusGeneGene expressionNeuroscienceConcordanceRNAGenetics

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Publication Info

Year: 2016
Type: article
Volume: 352
Issue: 6293
Pages: 1586-1590
Citations: 1028
Access: Closed

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APA Style

                            
                                
                                    Blue B. Lake, 
                                
                                    Rizi Ai, 
                                
                                    Gwendolyn E. Kaeser
                                
                                et al.
                            
                            (2016). 
                            Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain. 
                            Science
                            , 352
                            (6293)
                            , 1586-1590.
                            https://doi.org/10.1126/science.aaf1204
                        

Identifiers

DOI: 10.1126/science.aaf1204