Human and Non-Human Primate Cell Atlas

The human brain contains more than 100 billion cells, but exactly how these cells are organized into types and how these cell types differ between brain regions and species is an open question.  This collection of studies focuses on defining and characterizing the underlying gene expression, gene regulatory, and morphoelectric features of cell types in the human and non-human primate (NHP) brain.  These studies employ a range of cellular resolution methods (most notably single cell genomics) for this purpose, marking the beginning of an exciting new era of high-resolution human and NHP analyses.  The implications for understanding of human brain function, disease and disease modeling are profound. Studies fall into five categories:
  1. Adult human single cell atlasing studies, ranging from whole human brain surveys using single cell transcriptomic and epigenomic analyses, to targeted analyses of specific brain regions, to studies of individual variation in cellular and molecular phenotypes. ➔Go to Adult Human Single Cell Atlas
  2. Adult NHP single cell atlasing studies, focused on similar single cell analyses of marmoset and macaque brain.    ➔Go to Adult Non-Human Primate Single Cell Atlas
  3. Comparative single cell analyses, taking a quantitative comparative approach to understand conserved aspects of cellular and molecular organization and development as well as divergent primate and human specializations. ➔Go to Comparative Single Cell Analyses
  4. Human and NHP brain development single cell analyses, characterizing developmental dynamics in cellular, molecular and gene regulatory properties in developing human and NHP brain. ➔Go to Human and NHP Brain Development Single Cell Analyses
  5. Human neuronal cell type functional and anatomical analysis and modeling, including physiological and anatomical characterization of cellular properties in living human tissues, and analyses and modeling of human cell types and specialized cellular properties compared to rodent models. ➔Go to Functional and Anatomical Analysis
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Explore the Collection of Papers

Papers in this collection are published in Science, Science Advances, and Science Translational Medicine, with a few available as preprints at bioRxiv. Papers are listed on this page across all of these journals by the five categories above. Explore the full Science Special Collection with Introduction by Mattia Maroso and Perspective by Alyssa Weniger & Paola Arlotta.
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Adult Human Single Cell Atlas


Siletti, K., Hodge, R., Mossi Albiach, A., Lee, K. W., Ding, S.-L., Hu, L., Lönnerberg, P., ... Linnarsson, S. (2023). Transcriptomic diversity of cell types across the adult human brain. Science. DOI: 10.1126/science.add7046

Yang, E. L., Preissl, S., Miller, M., Johnson, N. D., Wang, Z., Jiao, H., ... Ren, B. (2023). A comparative atlas of single-cell chromatin accessibility in the human brain. Science. DOI: 10.1126/science.adf7044

Tian, W., Zhou, J., Bartlett, A., Zeng, Q., Liu, H., Castanon, R.G., ... Ecker, J. R. (2023). Single-cell DNA methylation and 3D genome architecture in the human brain. Science. DOI: 10.1126/science.adf5357

Jorstad, N. L., Close, J., Johansen, N., Yanny, A. M., Barkan, E. R., Travaglini, K. J., ... Lein, E. S. (2023). Transcriptomic cytoarchitecture reveals principles of human neocortex organization. Science. DOI: 10.1126/science.adf6812

Johansen, N., Somasundaram, S., Travaglini, K. J., Yanny, A. M., Shumyatcher, M., Casper, T., ... Miller, J. A. (2023). Interindividual variation in human cortical cell type abundance and expression. Science. DOI: 10.1126/science.adf2359

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Costantini, I., Morgan, L., Yang, J., Balbastre, Y., Varadarajan, D., Pesce, L., ... Hof, P. R. (2023). A cellular resolution atlas of Broca’s area. Science Advances. DOI: 10.1126/sciadv.adg3844

Adult Non-Human Primate Single Cell Atlas


Krienen, F. M., Levandowski, K. M., Zaniewski, H., del Rosario, R. C. H., Schroeder, M. E., Goldman, M., ... Feng, G. (2023). A marmoset brain cell census reveals regional specialization of cellular identities. Science Advances. DOI: 10.1126/sciadv.adk3986

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Chiou, K. L., Huang, X., Bohlen, M. O., Tremblay, S., Decasien, A.R., O’Day, D. R., Spurrell, C. H., ... Snyder-Mackler, N. (2023). A single-cell multi-omic atlas spanning the adult rhesus macaque brain. Science Advances. DOI: 10.1126/sciadv.adh1914

Comparative Single Cell Cell Analyses


Jorstad, N. L., Song, J. H. T., Exposito-Alonso, D., Suresh, H., Castro, N., Krienen, F. M., ... Bakken, T. E. (2023). Comparative transcriptomics reveals human-specific cortical features. Science. DOI: 10.1126/science.ade9516

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Human and NHP Brain Development Single Cell Analyses


Zhu, K., Bendl, J., Rahman, S., Vicari, J. M., Coleman, C., Clarence, T., Latouche, O., ... Roussos, P. (2023). Multi-omic profiling of the developing human cerebral cortex at the single cell level. Science Advances. DOI: 10.1126/sciadv.adg3754

Ament, S. A., Cortes-Gutierrez, M., Herb, B. R., Mocci, E., Colantuoni, C., McCarthy, M. M. (2023). A single-cell genomic atlas of postnatal maturation of the human cerebellum during early childhood . Science Translational Medicine. DOI: 10.1126/scitranslmed.ade1283

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Braun, E., Danan-Gotthold, M., Borm, L. E., Lee, K. W., Vinsland, E., Lönnerberg, P., ... Linnarsson, S.  (2023). Title of the Paper. Science. DOI: 10.1126/science.adf1226

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Kim, C. N., Shin, D., Wang, A., Nowakowski, T. J. (2023). Comprehensive cell atlas of the first-trimester developing human brain. Science. DOI: 10.1126/science.adf9941

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Herb, B. R., Glover, H. J., Bhaduri, A., Colantuoni, C., Bale, T. L., Siletti, K., ... Ament, S. A. (2023). Science Advances. DOI: DOI: 10.1126/sciadv.adf6251.

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Velmeshev, D., Perez, Y., Yan, Z., Valencia, J. E., Castaneda-Castellanos, D. R., Wang, L., Schirmer, L., ... Kriegstein, A.R. (2023). Single-cell analysis of prenatal and postnatal human cortical development. Science. DOI: 10.1126/science.adf0834

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Micali, N., Ma, S., Li, M., Kim, S.-K., Mato-Blanco, X., Sindhu, S., ... Rakic, P. (2023). Molecular programs of regional specification and neural stem cell fate progression in macaque telencephalon. Science. DOI: 10.1126/science.adf3786

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Human Neuronal Cell Type Functional and Anatomical Analysis and Modeling


Lee, B. R., Dalley, R., Miller, J. A., Chartrand, T., Close, J., Mann, R., ... Ting, J. T. (2023). Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex. Science. DOI: 10.1126/science.adf6484

Chartrand, T., Dalley, R., Close, J., Goriounova, N. A., Lee, B. R., Mann, R., ... Lein, E.S. (2023). Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex. Science. DOI: 10.1126/science.adf0805

Han, X., Guo, S., Ji, N., Li, T., Liu, J., Ye, X., ... Peng, H. (2023). Whole human-brain mapping of single cortical neurons for profiling morphological diversity and stereotypy. Science Advances. DOI: 10.1126/sciadv.adf3771

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Park, J., Wang, J., Guan, W., Kamentsky, L., Evans, N.B., Gjesteby, L. A., Pollack, D., ... Chung, K. (2023). Integrated platform for multi-scale molecular imaging and phenotyping of the human brain. bioRxiv 2022.03.13.484171; doi: https://doi.org/10.1101/2022.03.13.484171

Rózsa, M., Tóth, M., Oláh, G., Baka, J., Lákovics, R., Barzó, P., ... Tamás, G. (2023). Temporal disparity of action potentials triggered in axon initial segments and distal axons in the neocortex. Science Advances. DOI: 10.1126/sciadv.ade4511

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Wilbers, R., Metodieva, V. D., Duverdin, S., Heyer, D. B., Galakhova, A. A., Mertens, E. J., ... Goriounova, N. A. (2023). Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling. Science Advances. DOI: 10.1126/sciadv.ade3300

Wilbers, R., Galakhova, A. A., Driessens, S. L.W., Heistek, T. S., Metodieva, V. D., Hagemann, J., ... Goriounova, N. A. (2023). Structural and functional specializations of human fast spiking neurons support fast cortical signaling. Science Advances. DOI: 10.1126/sciadv.adf0708

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Mertens, E. J., Leibner, Y., Pie, J., Galakhova, A. A., Waleboer, F., Meijer, J., ... de Kock, C. P.J. (2023). Structural complexity supports computational richness in human hippocampal CA1 pyramidal neurons. bioRxiv. DOI: https://doi.org/10.1101/2023.10.05.561029

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