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A transcriptomic atlas of the mouse cerebellum reveals regional specializations and novel cell types

View ORCID ProfileVelina Kozareva, Caroline Martin, View ORCID ProfileTomas Osorno, View ORCID ProfileStephanie Rudolph, Chong Guo, View ORCID ProfileCharles Vanderburg, View ORCID ProfileNaeem Nadaf, View ORCID ProfileAviv Regev, View ORCID ProfileWade Regehr, View ORCID ProfileEvan Macosko
doi: https://doi.org/10.1101/2020.03.04.976407
Velina Kozareva
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
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  • ORCID record for Velina Kozareva
Caroline Martin
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
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Tomas Osorno
2Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
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Stephanie Rudolph
2Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
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Chong Guo
2Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
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Charles Vanderburg
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
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Naeem Nadaf
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
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Aviv Regev
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
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  • ORCID record for Aviv Regev
Wade Regehr
2Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
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Evan Macosko
1Broad Institute of Harvard and MIT, Stanley Center for Psychiatric Research, 450 Main St. Cambridge, MA, USA
3Massachusetts General Hospital, Department of Psychiatry, 55 Fruit St. Boston, MA, USA
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  • For correspondence: emacosko@broadinstitute.org
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Abstract

The cerebellum is a well-studied brain structure with diverse roles in motor learning, coordination, cognition, and autonomic regulation. Nonetheless, a complete inventory of cerebellar cell types is presently lacking. We used high-throughput transcriptional profiling to molecularly define cell types across individual lobules of the adult mouse cerebellum. Purkinje and granule neurons showed considerable regional specialization, with the greatest diversity occurring in the posterior lobules. For multiple types of cerebellar interneurons, the molecular variation within each type was more continuous, rather than discrete. For the unipolar brush cells (UBCs)—an interneuron population previously subdivided into two discrete populations—the continuous variation in gene expression was associated with a graded continuum of electrophysiological properties. Most surprisingly, we found that molecular layer interneurons (MLIs) were composed of two molecularly and functionally distinct types. Both show a continuum of morphological variation through the thickness of the molecular layer, but electrophysiological recordings revealed marked differences between the two types in spontaneous firing, excitability, and electrical coupling. Together, these findings provide the first comprehensive cellular atlas of the cerebellar cortex, and outline a methodological and conceptual framework for the integration of molecular, morphological, and physiological ontologies for defining brain cell types.

Footnotes

  • http://www.nemoarchive.org

  • https://singlecell.broadinstitute.org/single_cell/study/SCP795/a-transcriptomic-atlas-of-the-mouse-cerebellum

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 05, 2020.
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A transcriptomic atlas of the mouse cerebellum reveals regional specializations and novel cell types
Velina Kozareva, Caroline Martin, Tomas Osorno, Stephanie Rudolph, Chong Guo, Charles Vanderburg, Naeem Nadaf, Aviv Regev, Wade Regehr, Evan Macosko
bioRxiv 2020.03.04.976407; doi: https://doi.org/10.1101/2020.03.04.976407
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A transcriptomic atlas of the mouse cerebellum reveals regional specializations and novel cell types
Velina Kozareva, Caroline Martin, Tomas Osorno, Stephanie Rudolph, Chong Guo, Charles Vanderburg, Naeem Nadaf, Aviv Regev, Wade Regehr, Evan Macosko
bioRxiv 2020.03.04.976407; doi: https://doi.org/10.1101/2020.03.04.976407

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