eLemur: A cellular-resolution 3D atlas of the mouse lemur brain

The gray mouse lemur (<i>Microcebus murinus</i>), one of the smallest living primates, emerges as a promising model organism for neuroscience research. This is due to its genetic similarity to humans, its evolutionary position between rodents and humans, and its primate-like features encapsulated within a rodent-sized brain. Despite its potential, the absence of a comprehensive reference brain atlas impedes the progress of research endeavors in this species, particularly at the microscopic level. Existing references have largely been confined to the macroscopic scale, lacking detailed anatomical information. Here, we present eLemur, a unique resource, comprising a repository of high-resolution brain-wide images immunostained with multiple cell type and structural markers, elucidating the cyto- and chemoarchitecture of the mouse lemur brain. Additionally, it encompasses a segmented two-dimensional reference and 3D anatomical brain atlas delineated into cortical, subcortical, and other vital regions. Furthermore, eLemur includes a comprehensive 3D cell atlas, providing densities and spatial distributions of non-neuronal and neuronal cells across the mouse lemur brain. Accessible via a web-based viewer (https://eeum-brain.com/#/lemurdatasets), the eLemur resource streamlines data sharing and integration, fostering the exploration of different hypotheses and experimental designs using the mouse lemur as a model organism. Moreover, in conjunction with the growing 3D datasets for rodents, nonhuman primates, and humans, our eLemur 3D digital framework enhances the potential for comparative analysis and translation research, facilitating the integration of extensive rodent study data into human studies.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-12-04
DOI
https://doi.org/10.1073/pnas.2413687121
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.47

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article

eLemur: A cellular-resolution 3D atlas of the mouse lemur brain

Yoon Kyoung Choi, Linqing Feng, Fabien Pifferi, Hyungju Jeon et al.
2 citations
Proceedings of the National Academy of Sciences
Single-cell and spatial transcriptomics
0.47
article

eLemur: A cellular-resolution 3D atlas of the mouse lemur brain

Yoon Kyoung Choi, Linqing Feng, Fabien Pifferi, Hyungju Jeon, Daniel Huber, Chun Lum Andy Ho, Jayoung Kim, Jinhyun Kim, Jiwon Kim
article en
2 citations

Abstract

The gray mouse lemur (<i>Microcebus murinus</i>), one of the smallest living primates, emerges as a promising model organism for neuroscience research. This is due to its genetic similarity to humans, its evolutionary position between rodents and humans, and its primate-like features encapsulated within a rodent-sized brain. Despite its potential, the absence of a comprehensive reference brain atlas impedes the progress of research endeavors in this species, particularly at the microscopic level. Existing references have largely been confined to the macroscopic scale, lacking detailed anatomical information. Here, we present eLemur, a unique resource, comprising a repository of high-resolution brain-wide images immunostained with multiple cell type and structural markers, elucidating the cyto- and chemoarchitecture of the mouse lemur brain. Additionally, it encompasses a segmented two-dimensional reference and 3D anatomical brain atlas delineated into cortical, subcortical, and other vital regions. Furthermore, eLemur includes a comprehensive 3D cell atlas, providing densities and spatial distributions of non-neuronal and neuronal cells across the mouse lemur brain. Accessible via a web-based viewer (https://eeum-brain.com/#/lemurdatasets), the eLemur resource streamlines data sharing and integration, fostering the exploration of different hypotheses and experimental designs using the mouse lemur as a model organism. Moreover, in conjunction with the growing 3D datasets for rodents, nonhuman primates, and humans, our eLemur 3D digital framework enhances the potential for comparative analysis and translation research, facilitating the integration of extensive rodent study data into human studies.

Proceedings of the National Academy of SciencesVol. 121(50)
University of Geneva (CH), Korea University (KR), Korea Institute of Brain Science (KR), Bio-Medical Science (South Korea) (KR), Musée national d'histoire naturelle Luxembourg (LU), Korea Institute of Science and Technology (KR), Sungkyunkwan University (KR), Korea University of Science and Technology (KR)
Human Frontier Science Program, Korea University, Sungkyunkwan University, Korea Institute of Science and Technology, Centre National de la Recherche Scientifique, Université de Genève
Openalex Percentile: Top 34%
Single-cell and spatial transcriptomics
0.47
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