The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective
Intra-tumor heterogeneity is often associated with resistance to targeted therapy, requiring the design of combinatorial therapies. Here, based on tumor single-cell transcriptomic datasets, the authors develop a computational approach to identify optimal combinatorial treatments targeting membrane r...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-29154-2 |
| _version_ | 1811335583869435904 |
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| author | Saba Ahmadi Pattara Sukprasert Rahulsimham Vegesna Sanju Sinha Fiorella Schischlik Natalie Artzi Samir Khuller Alejandro A. Schäffer Eytan Ruppin |
| author_facet | Saba Ahmadi Pattara Sukprasert Rahulsimham Vegesna Sanju Sinha Fiorella Schischlik Natalie Artzi Samir Khuller Alejandro A. Schäffer Eytan Ruppin |
| author_sort | Saba Ahmadi |
| collection | DOAJ |
| description | Intra-tumor heterogeneity is often associated with resistance to targeted therapy, requiring the design of combinatorial therapies. Here, based on tumor single-cell transcriptomic datasets, the authors develop a computational approach to identify optimal combinatorial treatments targeting membrane receptors for cancer therapy. |
| first_indexed | 2024-04-13T17:26:24Z |
| format | Article |
| id | doaj.art-d97ce3426942456fb806a22b1125b5b0 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-13T17:26:24Z |
| publishDate | 2022-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-d97ce3426942456fb806a22b1125b5b02022-12-22T02:37:47ZengNature PortfolioNature Communications2041-17232022-03-0113111710.1038/s41467-022-29154-2The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspectiveSaba Ahmadi0Pattara Sukprasert1Rahulsimham Vegesna2Sanju Sinha3Fiorella Schischlik4Natalie Artzi5Samir Khuller6Alejandro A. Schäffer7Eytan Ruppin8Department of Computer Science, University of MarylandDepartment of Computer Science, University of MarylandCancer Data Science Laboratory, National Cancer InstituteCancer Data Science Laboratory, National Cancer InstituteCancer Data Science Laboratory, National Cancer InstituteDepartment of Medicine, Engineering in Medicine Division, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Computer Science, University of MarylandCancer Data Science Laboratory, National Cancer InstituteCancer Data Science Laboratory, National Cancer InstituteIntra-tumor heterogeneity is often associated with resistance to targeted therapy, requiring the design of combinatorial therapies. Here, based on tumor single-cell transcriptomic datasets, the authors develop a computational approach to identify optimal combinatorial treatments targeting membrane receptors for cancer therapy.https://doi.org/10.1038/s41467-022-29154-2 |
| spellingShingle | Saba Ahmadi Pattara Sukprasert Rahulsimham Vegesna Sanju Sinha Fiorella Schischlik Natalie Artzi Samir Khuller Alejandro A. Schäffer Eytan Ruppin The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective Nature Communications |
| title | The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective |
| title_full | The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective |
| title_fullStr | The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective |
| title_full_unstemmed | The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective |
| title_short | The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective |
| title_sort | landscape of receptor mediated precision cancer combination therapy via a single cell perspective |
| url | https://doi.org/10.1038/s41467-022-29154-2 |
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