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A spatially-resolved transcriptional atlas of the murine dorsal pons at single-cell resolution

Authors :
Stefano Nardone
Roberto De Luca
Antonino Zito
Nataliya Klymko
Dimitris Nicoloutsopoulos
Oren Amsalem
Cory Brannigan
Jon M. Resch
Christopher L. Jacobs
Deepti Pant
Molly Veregge
Harini Srinivasan
Ryan M. Grippo
Zongfang Yang
Mark L. Zeidel
Mark L. Andermann
Kenneth D. Harris
Linus T. Tsai
Elda Arrigoni
Anne M. J. Verstegen
Clifford B. Saper
Bradford B. Lowell
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract The “dorsal pons”, or “dorsal pontine tegmentum” (dPnTg), is part of the brainstem. It is a complex, densely packed region whose nuclei are involved in regulating many vital functions. Notable among them are the parabrachial nucleus, the Kölliker Fuse, the Barrington nucleus, the locus coeruleus, and the dorsal, laterodorsal, and ventral tegmental nuclei. In this study, we applied single-nucleus RNA-seq (snRNA-seq) to resolve neuronal subtypes based on their unique transcriptional profiles and then used multiplexed error robust fluorescence in situ hybridization (MERFISH) to map them spatially. We sampled ~1 million cells across the dPnTg and defined the spatial distribution of over 120 neuronal subtypes. Our analysis identified an unpredicted high transcriptional diversity in this region and pinpointed the unique marker genes of many neuronal subtypes. We also demonstrated that many neuronal subtypes are transcriptionally similar between humans and mice, enhancing this study’s translational value. Finally, we developed a freely accessible, GPU and CPU-powered dashboard ( http://harvard.heavy.ai:6273/ ) that combines interactive visual analytics and hardware-accelerated SQL into a data science framework to allow the scientific community to query and gain insights into the data.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.f281b415638047cf935491423b9003e6
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-45907-7