Comparative transcriptomics reveals human-specific cortical features

Nicholas L. Jorstad, Janet H. T. Song, David Exposito-Alonso, Hamsini Suresh, Nathan Castro-Pacheco, Fenna M. Krienen, Anna Marie Yanny, Jennie Close, Brian Long, Stephanie C. Seeman, Kyle J. Travaglini, Soumyadeep Basu, Marc Beaudin, Darren Bertagnolli, Megan Crow, Song-Lin Ding, Jeroen Eggermont, Alexandra Glandon, Jeff Goldy, Thomas Kroes, Delissa McMillen, Thanh Pham, Christine Rimorin, Kimberly Siletti, Saroja Somasundaram, Michael Tieu, Amy Torkelson, Guoping Feng, Guoping Hopkins, Thomas Höllt, Dirk Keene, Sten Linnarsson, Steven A. McCarroll, Boudewijn P.F. Lelieveldt, Chet C. Sherwood, Kimberly Smith, Christopher A. Walsh, Alexander Dobin, Jesse Gillis, Ed Lein, Rebecca Hodge, Trygve Bakken
    
Science, Volume 382, page eade9516 - 2023
Download the publication : science.ade9516 summary.pdf [345Ko]   science.ade9516.pdf [7Mo]  
INTRODUCTION
The cerebral cortex is involved in complex cognitive functions such as language. Although the diversity and organization of cortical cell types has been extensively studied in several mammalian species, human cortical specializations that may underlie our distinctive cognitive abilities remain poorly understood.
RATIONALE
Single-nucleus RNA sequencing (snRNA-seq) offers a relatively unbiased characterization of cellular diversity of brain regions. Comparative transcriptomic analysis enables the identification of molecular and cellular features that are conserved and specialized but is often limited by the number of species analyzed. We applied deep transcriptomic profiling of the cerebral cortex of humans and four nonhuman primate (NHP) species to identify homologous cell types and human specializations.
RESULTS
We generated snRNA-seq data from humans, chimpanzees, gorillas, rhesus macaques, and marmosets (more than 570,000 nuclei in total) to build a cellular classification of a language-associated region of the cortex, the middle temporal gyrus (MTG), in each species and a consensus primate taxonomy. Cell-type proportions and distributions across cortical layers are highly conserved among great apes, whereas marmosets have higher proportions of L5/6 IT CAR3 and L5 ET excitatory neurons and Chandelier inhibitory neurons. This strongly points to the possibility that other cellular features drive human-specific cortical evolution. Profiling gorillas enabled discrimination of which human and chimpanzee expression differences are specialized in humans. We discovered that chimpanzee neurons have gene expression profiles that are more similar to those of gorilla neurons than to those of human neurons, despite chimpanzees and humans sharing a more-recent common ancestor. By contrast, glial expression changes were consistent with evolutionary distances and were more rapid than neuronal expression changes in all species. Thus, our data support a faster divergence of neuronal, but not glial, expression on the human lineage. For all primate species, many differentially expressed genes (DEGs) were specific to one or a few cell types and were significantly enriched in molecular pathways related to synaptic connectivity and signaling. Hundreds of genes had human-specific differences in transcript isoform usage, and these genes were largely distinct from DEGs. We leveraged published datasets to link human-specific DEGs to regions of the genome with human-accelerated mutations or deletions (HARs and hCONDELs). This led to the surprising discovery that a large fraction of human-specific DEGs (15 to 40%), and particularly those associated with synaptic connections and signaling, were near these genomic regions that are under adaptive selection.
CONCLUSION
Our study found that MTG cell types are largely conserved across approximately 40 million years of primate evolution, and the composition and spatial positioning of cell types are shared among great apes. In each species, hundreds of genes exhibit cell type-specific expression changes, particularly in pathways related to neuronal and glial communication. Human-specific DEGs are enriched near likely adaptive genomic changes and are poised to contribute to human-specialized cortical function.

Images and movies

 

Other publications in the database

BibTex references

@Article { JSESCKYCLSTBBBCDEGGKMPRSSTTFHHKLMLSSWDGLHB23,
  author       = "Jorstad, Nicholas L. and Song, Janet H. T. and Exposito-Alonso, David and Suresh, Hamsini and Castro-Pacheco,
                  Nathan and Krienen, Fenna M. and Yanny, Anna Marie and Close, Jennie and Long, Brian and Seeman, Stephanie C.
                  and Travaglini, Kyle J. and Basu, Soumyadeep and Beaudin, Marc and Bertagnolli, Darren and Crow, Megan and
                  Ding, Song-Lin and Eggermont, Jeroen and Glandon, Alexandra and Goldy, Jeff and Kroes, Thomas and McMillen,
                  Delissa and Pham, Thanh and Rimorin, Christine and Siletti, Kimberly and Somasundaram, Saroja and Tieu,
                  Michael and Torkelson, Amy and Feng, Guoping and Hopkins, Guoping and H\öllt, Thomas and Keene, Dirk and
                  Linnarsson, Sten and McCarroll, Steven A. and Lelieveldt, Boudewijn P.F. and Sherwood, Chet C. and Smith,
                  Kimberly and Walsh, Christopher A. and Dobin, Alexander and Gillis, Jesse and Lein, Ed and Hodge, Rebecca and
                  Bakken, Trygve",
  title        = "Comparative transcriptomics reveals human-specific cortical features",
  journal      = "Science",
  volume       = "382",
  pages        = "eade9516",
  year         = "2023",
  doi          = "10.1126/science.ade9516",
  url          = "http://graphics.tudelft.nl/Publications-new/2023/JSESCKYCLSTBBBCDEGGKMPRSSTTFHHKLMLSSWDGLHB23"
}






Back