Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution
Intermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens.
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-13441-6 |
| _version_ | 1818841384203845632 |
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| author | Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis |
| author_facet | Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis |
| author_sort | Loukia G. Karacosta |
| collection | DOAJ |
| description | Intermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens. |
| first_indexed | 2024-12-19T04:25:13Z |
| format | Article |
| id | doaj.art-32513de8c44b402d8bbb56fe5705714c |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T04:25:13Z |
| publishDate | 2019-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-32513de8c44b402d8bbb56fe5705714c2022-12-21T20:36:03ZengNature PortfolioNature Communications2041-17232019-12-0110111510.1038/s41467-019-13441-6Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolutionLoukia G. Karacosta0Benedict Anchang1Nikolaos Ignatiadis2Samuel C. Kimmey3Jalen A. Benson4Joseph B. Shrager5Robert Tibshirani6Sean C. Bendall7Sylvia K. Plevritis8Department of Biomedical Data Science, Stanford UniversityDepartment of Biomedical Data Science, Stanford UniversityDepartment of Statistics, Stanford UniversityDepartment of Pathology, Stanford UniversityDepartment of Cardiothoracic Surgery, Stanford UniversityDepartment of Cardiothoracic Surgery, Stanford UniversityDepartment of Biomedical Data Science, Stanford UniversityDepartment of Pathology, Stanford UniversityDepartment of Biomedical Data Science, Stanford UniversityIntermediate transitions between epithelial and mesenchymal states are associated with tumor progression. Here using mass cytometry, Plevritis and colleagues develop a computational framework to resolve and map these trajectories in lung cancer cells and clinical specimens.https://doi.org/10.1038/s41467-019-13441-6 |
| spellingShingle | Loukia G. Karacosta Benedict Anchang Nikolaos Ignatiadis Samuel C. Kimmey Jalen A. Benson Joseph B. Shrager Robert Tibshirani Sean C. Bendall Sylvia K. Plevritis Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution Nature Communications |
| title | Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution |
| title_full | Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution |
| title_fullStr | Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution |
| title_full_unstemmed | Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution |
| title_short | Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution |
| title_sort | mapping lung cancer epithelial mesenchymal transition states and trajectories with single cell resolution |
| url | https://doi.org/10.1038/s41467-019-13441-6 |
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