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Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis
Published on: December 22, 2023
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The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data
Seth A Ament1,2, Ricky S Adkins1, Robert Carter1
1Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Nucleic Acids Research
|November 1, 2022
Summary
The Neuroscience Multi-Omic Archive (NeMO Archive) provides FAIR genomics data from over 50 million brain cells. This resource supports brain cell type and state research by making transcriptomic and epigenomic data accessible.
Area of Science:
- Neuroscience
- Genomics
- Bioinformatics
Background:
- Single-cell sequencing technologies are revolutionizing brain research.
- The NIH's BRAIN Initiative aims to map mammalian brain cell types at scale.
- Data accessibility and FAIRness are crucial for collaborative research.
Purpose of the Study:
- To describe the Neuroscience Multi-Omic Archive (NeMO Archive) as a central repository for BRAIN Initiative genomics data.
- To enhance data FAIRness (Findable, Accessible, Interoperable, Reusable) for the neuroscience community.
- To provide tools for accessing and analyzing large-scale brain cell data.
Main Methods:
- Curated and organized large-scale transcriptomic and epigenomic data from single brain cells.
- Established a primary repository (NeMO Archive) for BRAIN Initiative genomics data.
- Developed accessible data retrieval and analysis tools, including a web portal, cloud interface (Terra), and NeMO Analytics.
Main Results:
- The NeMO Archive contains genomics data from over 50 million brain cells.
- Data includes single-cell transcriptomic and epigenomic information from human, mouse, and non-human primate brains.
- Multiple tools are available for data access, processing, and analysis.
Conclusions:
- The NeMO Archive significantly advances data FAIRness for neuroscience research.
- It provides a comprehensive, accessible resource for studying brain cell types and states.
- The integrated tools facilitate large-scale data exploration and discovery.

