Shaojie Ma, Mario Skarica, Qian Li, Chuan Xu, Ryan D. Risgaard, Andrew T.N. Tebbenkamp, Xoel Mato-Blanco, Rothem Kovner, Željka Krsnik, Xabier de Martin, Victor Luria, Xavier Martí-Pérez, Dan Liang, Amir Karger, Danielle K. Schmidt, Zachary Gomez-Sanchez, Cai Qi, Kevin T. Gobeske, Sirisha Pochareddy, Ashwin Debnath, Cade J. Hottman, Joshua Spurrier, Leon Teo, Anthony G. Boghdadi, Jihane Homman-Ludiye, John J. Ely, Etienne W. Daadi, Da Mi, Marcel Daadi, Oscar Marín, Patrick R. Hof, Mladen-Roko Rasin, James Bourne, Chet C. Sherwood, Gabriel Santpere, Matthew J. Girgenti, Stephen M. Strittmatter, André M.M. Sousa, Nenad Sestan
The granular dorsolateral prefrontal cortex (dlPFC) is an evolutionary specialization of primates that is centrally involved in cognition. Here, we assessed over 600,000 single-nucleus transcriptomes from adult human, chimpanzee, macaque, and marmoset dlPFC. While most transcriptomically-defined cell subtypes are conserved, we detected several only in some species and substantial species-specific molecular differences across homologous neuronal, glial and non-neural subtypes. The latter are exemplified by human-specific switching between expression of the neuropeptide somatostatin (SST) and tyrosine hydroxylase (TH), the rate-limiting enzyme in dopamine production, in certain interneurons, and also by expression of the neuropsychiatric risk gene FOXP2, which is human-specific in microglia and primate-specific in layer-4 granular neurons. We generated a comprehensive survey of dlPFC cellular repertoire and its shared and divergent features in anthropoid primates.
The cross-species dlPFC snRNA-seq data (raw and processed) were deposited in the NEMO Archive (RRID:SCR_002001) under identifier nemo:dat-zkgd0it accessible at https://assets.nemoarchive.org/dat-zkgd0it.
The raw data can also be directly downloaded from NeMO.
The processed data can also be downloaded from google drive
The data can also be interactively visualized at resources.sestanlab.org/PFC.
The human dlPFC sn-multiome data were deposited at NCBI GEO under the accession number: GSE207334.