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Ament SA, Adkins RS, Carter R, Chrysostomou E, Colantuoni C, Crabtree J, Creasy HH, Degatano K, Felix V, Gandt P, Garden G, Giglio M, Herb BR, Khajouei F, Kiernan E, McCracken C, McDaniel K, Nadendla S, Nickel L, Olley D, Orvis J, Receveur J, Schor M, Sonthalia S, Tickle T, Way J, Hertzano R, Mahurkar A, White O. The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain. Nucleic Acids Res 2023; 51:D1075-D1085. [PMID: 36318260 PMCID: PMC9825473 DOI: 10.1093/nar/gkac962] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/30/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
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).
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Affiliation(s)
- Seth A Ament
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ricky S Adkins
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Robert Carter
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Elena Chrysostomou
- Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carlo Colantuoni
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Departments of Neurology and Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jonathan Crabtree
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather H Creasy
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kylee Degatano
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Victor Felix
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Gandt
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gwenn A Garden
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle Giglio
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brian R Herb
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Farzaneh Khajouei
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elizabeth Kiernan
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Carrie McCracken
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kennedy McDaniel
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Suvarna Nadendla
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lance Nickel
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Dustin Olley
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joshua Orvis
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph P Receveur
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mike Schor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shreyash Sonthalia
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Timothy L Tickle
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jessica Way
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ronna Hertzano
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Otorhinolaryngology Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Anup A Mahurkar
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Owen R White
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
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Barrallo-Gimeno A, Llorens J. Hair cell toxicology: With the help of a little fish. Front Cell Dev Biol 2022; 10:1085225. [PMID: 36582469 PMCID: PMC9793777 DOI: 10.3389/fcell.2022.1085225] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Hearing or balance loss are disabling conditions that have a serious impact in those suffering them, especially when they appear in children. Their ultimate cause is frequently the loss of function of mechanosensory hair cells in the inner ear. Hair cells can be damaged by environmental insults, like noise or chemical agents, known as ototoxins. Two of the most common ototoxins are life-saving medications: cisplatin against solid tumors, and aminoglycoside antibiotics to treat infections. However, due to their localization inside the temporal bone, hair cells are difficult to study in mammals. As an alternative animal model, zebrafish larvae have hair cells similar to those in mammals, some of which are located in a fish specific organ on the surface of the skin, the lateral line. This makes them easy to observe in vivo and readily accessible for ototoxins or otoprotective substances. These features have made possible advances in the study of the mechanisms mediating ototoxicity or identifying new potential ototoxins. Most importantly, the small size of the zebrafish larvae has allowed screening thousands of molecules searching for otoprotective agents in a scale that would be highly impractical in rodent models. The positive hits found can then start the long road to reach clinical settings to prevent hearing or balance loss.
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Affiliation(s)
- Alejandro Barrallo-Gimeno
- Department de Ciències Fisiològiques, Facultat de Medicina i Ciències de la Salut, Campus de Bellvitge, Universitat de Barcelona, L’Hospitalet de Llobregat, Spain,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain,Institut D'Investigació Biomèdica de Bellvitge, IDIBELL, L’Hospitalet de Llobregat, Spain,*Correspondence: Alejandro Barrallo-Gimeno,
| | - Jordi Llorens
- Department de Ciències Fisiològiques, Facultat de Medicina i Ciències de la Salut, Campus de Bellvitge, Universitat de Barcelona, L’Hospitalet de Llobregat, Spain,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain,Institut D'Investigació Biomèdica de Bellvitge, IDIBELL, L’Hospitalet de Llobregat, Spain
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