The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain-Reference-Cited by-同舟云学术

The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain

Published:2022-11-01 Issue:D1 Volume:51 Page:D1075-D1085
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Ament Seth A¹²^ORCID,Adkins Ricky S¹,Carter Robert¹,Chrysostomou Elena³,Colantuoni Carlo¹⁴,Crabtree Jonathan¹,Creasy Heather H¹^ORCID,Degatano Kylee⁵,Felix Victor¹,Gandt Peter¹,Garden Gwenn A⁶,Giglio Michelle¹⁷^ORCID,Herb Brian R¹,Khajouei Farzaneh⁵,Kiernan Elizabeth⁵,McCracken Carrie¹,McDaniel Kennedy¹,Nadendla Suvarna¹,Nickel Lance¹,Olley Dustin¹^ORCID,Orvis Joshua¹,Receveur Joseph P¹,Schor Mike¹,Sonthalia Shreyash⁸,Tickle Timothy L⁵^ORCID,Way Jessica⁵,Hertzano Ronna¹³⁹,Mahurkar Anup A¹,White Owen R¹¹⁰

Affiliation:

1. Institute for Genome Sciences, University of Maryland School of Medicine , Baltimore , MD, USA

2. Department of Psychiatry, University of Maryland School of Medicine , Baltimore , MD, USA

3. Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine , Baltimore , MD, USA

4. Departments of Neurology and Neuroscience, Johns Hopkins School of Medicine , Baltimore , MD, USA

5. Data Sciences Platform, Broad Institute of MIT and Harvard , Cambridge , MA , USA

6. Department of Neurology, University of North Carolina at Chapel Hill , Chapel Hill, NC , USA

7. Department of Medicine, University of Maryland School of Medicine , Baltimore , MD, USA

8. Department of Biomedical Engineering, Johns Hopkins School of Medicine , Baltimore , MD, USA

9. Department of Anatomy and Neurobiology, University of Maryland School of Medicine , Baltimore , MD, USA

10. Department of Epidemiology and Public Health, University of Maryland School of Medicine , Baltimore , MD, USA

Abstract

Abstract Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is applying these technologies at unprecedented scale to map the cell types in the mammalian brain. In an effort to increase data FAIRness (Findable, Accessible, Interoperable, Reusable), the NIH has established repositories to make data generated by the BICCN and related BRAIN Initiative projects accessible to the broader research community. Here, we describe the Neuroscience Multi-Omic Archive (NeMO Archive; nemoarchive.org), which serves as the primary repository for genomics data from the BRAIN Initiative. Working closely with other BRAIN Initiative researchers, we have organized these data into a continually expanding, curated repository, which contains transcriptomic and epigenomic data from over 50 million brain cells, including single-cell genomic data from all of the major regions of the adult and prenatal human and mouse brains, as well as substantial single-cell genomic data from non-human primates. We make available several tools for accessing these data, including a searchable web portal, a cloud-computing interface for large-scale data processing (implemented on Terra, terra.bio), and a visualization and analysis platform, NeMO Analytics (nemoanalytics.org).

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

https://academic.oup.com/nar/article-pdf/51/D1/D1075/48440895/gkac962.pdf

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