Name: Data from: A marmoset brain cell census reveals persistent influence of developmental origin on neurons
Published: 2023

Data from: A marmoset brain cell census reveals persistent influence of developmental origin on neurons

[ DOI: https://doi.org/10.35077/g.609 ]

Dataset Citation:

Levandowski, Kirsten, Zaniewski, Heather, Beja-Glasser, Victoria, Shin, Tay-Won. (2023). Data from: A marmoset brain cell census reveals persistent influence of developmental origin on neurons. [ Collection / Dataset ]. Brain Image Library. https://doi.org/10.35077/g.609

Abstract:

Marmosets are New World monkeys that share fundamental aspects of brain cell-type composition with other primates including humans. Marmosets are also an emerging model for translational neuroscience, due to their small size, rapid reproductive cycle, and evolutionary relationship to humans. We used single-nucleus RNA sequencing to analyze 2.4 million brain cells sampled from 11 cortical and 7 subcortical locations in the adult marmoset brain, identifying cell types and their properties across these brain areas. Analysis of the resulting 222 neuronal types revealed unexpected relationships across phylogenetically distinct brain structures. The relatively small size and lower myelination levels in the marmoset brain also facilitate quantitative spatial mapping and reconstruction of cells’ morphology. We take advantage of the small size of the marmoset brain to image and quantify spatial locations of GABAergic interneuron types using single-molecule FISH across whole sagittal sections and reconstruct the morphology of a subset of these types with GFP AAV labeling, including the recently discovered, primate-specific TAC3+ striatal interneurons.

Funding:

National Institutes of Health None None

Contributors:

Feng, Guoping (ProjectLeader) Massachusetts Institute of Technology
Krienen, Fenna (Researcher) Princeton University
Levandowski, Kirsten (Researcher) Massachusetts Institute of Technology
Zaniewski, Heather (Researcher) Massachusetts Institute of Technology
Beja-Glasser, Victoria (Researcher) Massachusetts Institute of Technology
Shin, Tay-Won (Researcher) Massachusetts Institute of Technology

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