LungMAP Portal Ecosystem : Systems-level Exploration of the Lung
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.
| Errataetall: |
CommentIn: Am J Respir Cell Mol Biol. 2024 Feb;70(2):91-93. - PMID 38109690 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:70 |
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| Enthalten in: |
American journal of respiratory cell and molecular biology - 70(2024), 2 vom: 22. Feb., Seite 129-139 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Gaddis, Nathan [VerfasserIn] |
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| Links: |
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| Themen: |
Genomics |
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| Anmerkungen: |
Date Completed 08.02.2024 Date Revised 11.02.2024 published: Print CommentIn: Am J Respir Cell Mol Biol. 2024 Feb;70(2):91-93. - PMID 38109690 Citation Status MEDLINE |
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| doi: |
10.1165/rcmb.2022-0165OC |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM349265127 |
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| 500 | |a CommentIn: Am J Respir Cell Mol Biol. 2024 Feb;70(2):91-93. - PMID 38109690 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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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| 700 | 1 | |a Guo, Minzhe |e verfasserin |4 aut | |
| 700 | 1 | |a Bardes, Eric E |e verfasserin |4 aut | |
| 700 | 1 | |a Kouril, Michal |e verfasserin |4 aut | |
| 700 | 1 | |a Tabar, Scott |e verfasserin |4 aut | |
| 700 | 1 | |a Burns, Kevin |e verfasserin |4 aut | |
| 700 | 1 | |a Ardini-Poleske, Maryanne E |e verfasserin |4 aut | |
| 700 | 1 | |a Loos, Stephanie |e verfasserin |4 aut | |
| 700 | 1 | |a Schnell, Daniel |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Kang |e verfasserin |4 aut | |
| 700 | 1 | |a Iyer, Balaji |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Yina |e verfasserin |4 aut | |
| 700 | 1 | |a Huo, Bing-Xing |e verfasserin |4 aut | |
| 700 | 1 | |a Bhattacharjee, Anukana |e verfasserin |4 aut | |
| 700 | 1 | |a Korte, Jeff |e verfasserin |4 aut | |
| 700 | 1 | |a Munshi, Ruchi |e verfasserin |4 aut | |
| 700 | 1 | |a Smith, Victoria |e verfasserin |4 aut | |
| 700 | 1 | |a Herbst, Andrew |e verfasserin |4 aut | |
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| 700 | 1 | |a Sun, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Heathorn, Trevor |e verfasserin |4 aut | |
| 700 | 1 | |a Paten, Benedict |e verfasserin |4 aut | |
| 700 | 1 | |a Prasath, V B Surya |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Tickle, Tim |e verfasserin |4 aut | |
| 700 | 1 | |a Aronow, Bruce J |e verfasserin |4 aut | |
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