LungMAP Portal Ecosystem: Systems-level Exploration of the Lung
Open accessPublished version of a preprint
Abstract
An improved understanding of the human lung necessitates advanced systems models informed by an ever-increasing repertoire of molecular omics, cellular imaging, and pathological datasets. To centralize and standardize information across broad lung research efforts, we expanded the LungMAP.net website into a new gateway portal. This portal connects a broad spectrum of research networks, bulk and single-cell multiomics data, and a diverse collection of image data that span mammalian lung development and disease. The data are standardized across species and technologies using harmonized data and metadata models that leverage recent advances, including those from the Human Cell Atlas, diverse ontologies, and the LungMAP CellCards initiative. To cultivate future discoveries, we have aggregated a diverse collection of single-cell atlases for multiple species (human, rhesus, and mouse) to enable consistent queries across technologies, cohorts, age, disease, and drug treatment. These atlases are provided as independent and integrated queryable datasets, with an emphasis on dynamic visualization, figure generation, reanalysis, cell-type curation, and automated reference-based classification of user-provided single-cell genomics datasets (Azimuth). As this resource grows, we intend to increase the breadth of available interactive interfaces, supported data types, data portals and datasets from LungMAP, and external research efforts.
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References 36 · Cited by 62
- Authors
- Gaddis, N., Fortriede, J., Guo, M., Bardes, E. E., Kouril, M., Tabar, S., Burns, K., Ardini-Poleske, M. E., Loos, S., Schnell, D., Jin, K., Iyer, B., Du, Y., Huo, B.-X., Bhattacharjee, A., Korte, J., Munshi, R., Smith, V., Herbst, A., Kitzmiller, J. A., Clair, G. C., Carson, J. P., Adkins, J., Morrisey, E. E., Pryhuber, G. S., Misra, R., Whitsett, J. A., Sun, X., Heathorn, T., Paten, B., Prasath, V. B. S., Xu, Y., Tickle, T., Aronow, B. J., & Salomonis, N.
- Affiliations
- RTI International (US)
- Cincinnati Children's Hospital Medical Center (US)
- RTI International, Research Triangle Park, North Carolina
- Broad Institute (US)
- Biological Science Division, Pacific Northwest National Laboratory, Richland, Washington
- Texas Advanced Computing Center (US)
- Pacific Northwest National Laboratory (US)
- University of Pennsylvania (US)
- University of Rochester Medicine (US)
- University of California San Diego (US)
- University of California, Santa Cruz (US)
- Perinatal Institute (GB)
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Corresponding author
- Salomonis, Nathan
- ORCID
- Gaddis, Nathan
- Fortriede, Joshua
- Guo, Minzhe
- Bardes, Eric E.
- Kouril, Michal
- Burns, Kevin
- Jin, Kang
- Iyer, Balaji
- Du, Yina
- Huo, Bing-Xing
- Bhattacharjee, Anukana
- Kitzmiller, Joseph A.
- Clair, Geremy C.
- Carson, James P.
- Adkins, Joshua
- Morrisey, Edward E.
- Pryhuber, Gloria S.
- Misra, Ravi
- Whitsett, Jeffrey A.
- Sun, Xin
- Paten, Benedict
- Prasath, V. B. Surya
- Xu, Yan
- Aronow, Bruce J.
- Salomonis, Nathan
- Venue
- American Journal of Respiratory Cell and Molecular Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-02-01
- Volume
- 70
- Issue
- 2
- Pages
- 129-139
- ISSN
- 1044-1549 (ISSN-L)
- 1535-4989
- PMC
- PMC10848697
- OpenAlex
- W4309663642
- Cited by
- 62
- References
- 36
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 15 · 2023: 4 · 2022: 1
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- American Journal of Respiratory Cell and Molecular Biology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, other-oa)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, other-oa)
- Funders
- National Heart, Lung, and Blood Institute (U01HL122700, U01HL148856, U01HL148857, U01HL148860, U01HL148861, U01HL148867, U24HL148865)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- single-cell atlas, multi-omics integration, data harmonization, metadata model, Human Cell Atlas, azimuth angle, lung development, lung disease, rhesus monkeys, mouse lung, ontology (information science)
- MeSH terms
- Animals, Humans, Lung, Mammals, Ecosystem, Genomics, Organogenesis, Mice
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