From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy
Abstract Chimeric antigen receptor T (CAR‐T) cell therapies, a cornerstone of immunotherapy, have demonstrated remarkable efficacy in treating hematological malignancies and have more recently expanded into applications for solid tumors and autoimmune diseases. Emerging multidimensional profiling te...
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202501095 |
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| author | Yuting Gong Peng Fei Yicheng Zhang Yang Xu Jia Wei |
| author_facet | Yuting Gong Peng Fei Yicheng Zhang Yang Xu Jia Wei |
| author_sort | Yuting Gong |
| collection | DOAJ |
| description | Abstract Chimeric antigen receptor T (CAR‐T) cell therapies, a cornerstone of immunotherapy, have demonstrated remarkable efficacy in treating hematological malignancies and have more recently expanded into applications for solid tumors and autoimmune diseases. Emerging multidimensional profiling technologies offer promising solutions for enhancing CAR‐T efficacy, overcoming resistance, and facilitating the development of novel CAR‐T constructs. The integration of genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics enables a comprehensive understanding of the intrinsic mechanisms underlying CAR‐T therapy, while single‐cell and spatial omics significantly improve data resolution and analytical depth. Coupled with advances in biomedical engineering, visualization technologies form the foundation for omics data generation by bridging microscopic and macroscopic scales and enabling dynamic, 3D in vivo monitoring of CAR‐T behavior. Artificial intelligence (AI) further supports this framework by enabling the analysis of complex, high‐dimensional datasets. This review highlights recent advances in the integration of multidimensional omics within CAR‐T therapy and explores cutting‐edge developments in visualization technologies and AI applications. The full convergence of multi‐omics, visualization tools, and AI is poised to deliver transformative insights into the mechanisms governing CAR‐T cell therapy. |
| format | Article |
| id | doaj-art-91b1016d7f2e40f4b62a6bee97e80a4e |
| institution | OA Journals |
| issn | 2198-3844 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj-art-91b1016d7f2e40f4b62a6bee97e80a4e2025-08-20T02:02:15ZengWileyAdvanced Science2198-38442025-05-011220n/an/a10.1002/advs.202501095From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell TherapyYuting Gong0Peng Fei1Yicheng Zhang2Yang Xu3Jia Wei4Department of Hematology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei 430030 ChinaDepartment of Hematology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei 430030 ChinaDepartment of Hematology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei 430030 ChinaNational Clinical Research Center for Hematologic Diseases Jiangsu Institute of Hematology The First Affiliated Hospital of Soochow University Suzhou Jiangsu 215006 ChinaDepartment of Hematology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei 430030 ChinaAbstract Chimeric antigen receptor T (CAR‐T) cell therapies, a cornerstone of immunotherapy, have demonstrated remarkable efficacy in treating hematological malignancies and have more recently expanded into applications for solid tumors and autoimmune diseases. Emerging multidimensional profiling technologies offer promising solutions for enhancing CAR‐T efficacy, overcoming resistance, and facilitating the development of novel CAR‐T constructs. The integration of genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics enables a comprehensive understanding of the intrinsic mechanisms underlying CAR‐T therapy, while single‐cell and spatial omics significantly improve data resolution and analytical depth. Coupled with advances in biomedical engineering, visualization technologies form the foundation for omics data generation by bridging microscopic and macroscopic scales and enabling dynamic, 3D in vivo monitoring of CAR‐T behavior. Artificial intelligence (AI) further supports this framework by enabling the analysis of complex, high‐dimensional datasets. This review highlights recent advances in the integration of multidimensional omics within CAR‐T therapy and explores cutting‐edge developments in visualization technologies and AI applications. The full convergence of multi‐omics, visualization tools, and AI is poised to deliver transformative insights into the mechanisms governing CAR‐T cell therapy.https://doi.org/10.1002/advs.202501095artificial intelligenceCAR‐T therapymulti‐omicssingle cell sequencingspatial omicstumor microenvironment |
| spellingShingle | Yuting Gong Peng Fei Yicheng Zhang Yang Xu Jia Wei From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy Advanced Science artificial intelligence CAR‐T therapy multi‐omics single cell sequencing spatial omics tumor microenvironment |
| title | From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy |
| title_full | From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy |
| title_fullStr | From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy |
| title_full_unstemmed | From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy |
| title_short | From Multi‐Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR‐T Cell Therapy |
| title_sort | from multi omics to visualization and beyond bridging micro and macro insights in car t cell therapy |
| topic | artificial intelligence CAR‐T therapy multi‐omics single cell sequencing spatial omics tumor microenvironment |
| url | https://doi.org/10.1002/advs.202501095 |
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