Advances in single-cell omics and multiomics for high-resolution molecular profiling
Abstract Single-cell omics technologies have revolutionized molecular profiling by providing high-resolution insights into cellular heterogeneity and complexity. Traditional bulk omics approaches average signals from heterogeneous cell populations, thereby obscuring important cellular nuances. Singl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2024-03-01
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| Series: | Experimental and Molecular Medicine |
| Online Access: | https://doi.org/10.1038/s12276-024-01186-2 |
| _version_ | 1797220039231799296 |
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| author | Jongsu Lim Chanho Park Minjae Kim Hyukhee Kim Junil Kim Dong-Sung Lee |
| author_facet | Jongsu Lim Chanho Park Minjae Kim Hyukhee Kim Junil Kim Dong-Sung Lee |
| author_sort | Jongsu Lim |
| collection | DOAJ |
| description | Abstract Single-cell omics technologies have revolutionized molecular profiling by providing high-resolution insights into cellular heterogeneity and complexity. Traditional bulk omics approaches average signals from heterogeneous cell populations, thereby obscuring important cellular nuances. Single-cell omics studies enable the analysis of individual cells and reveal diverse cell types, dynamic cellular states, and rare cell populations. These techniques offer unprecedented resolution and sensitivity, enabling researchers to unravel the molecular landscape of individual cells. Furthermore, the integration of multimodal omics data within a single cell provides a comprehensive and holistic view of cellular processes. By combining multiple omics dimensions, multimodal omics approaches can facilitate the elucidation of complex cellular interactions, regulatory networks, and molecular mechanisms. This integrative approach enhances our understanding of cellular systems, from development to disease. This review provides an overview of the recent advances in single-cell and multimodal omics for high-resolution molecular profiling. We discuss the principles and methodologies for representatives of each omics method, highlighting the strengths and limitations of the different techniques. In addition, we present case studies demonstrating the applications of single-cell and multimodal omics in various fields, including developmental biology, neurobiology, cancer research, immunology, and precision medicine. |
| first_indexed | 2024-04-24T12:43:12Z |
| format | Article |
| id | doaj.art-fc47e275dae3404188e670cad25cb5ba |
| institution | Directory Open Access Journal |
| issn | 2092-6413 |
| language | English |
| last_indexed | 2024-04-24T12:43:12Z |
| publishDate | 2024-03-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Experimental and Molecular Medicine |
| spelling | doaj.art-fc47e275dae3404188e670cad25cb5ba2024-04-07T11:09:41ZengNature Publishing GroupExperimental and Molecular Medicine2092-64132024-03-0156351552610.1038/s12276-024-01186-2Advances in single-cell omics and multiomics for high-resolution molecular profilingJongsu Lim0Chanho Park1Minjae Kim2Hyukhee Kim3Junil Kim4Dong-Sung Lee5Department of Life Science, University of SeoulDepartment of Life Science, University of SeoulDepartment of Life Science, University of SeoulDepartment of Life Science, University of SeoulSchool of Systems Biomedical Science, Soongsil UniversityDepartment of Life Science, University of SeoulAbstract Single-cell omics technologies have revolutionized molecular profiling by providing high-resolution insights into cellular heterogeneity and complexity. Traditional bulk omics approaches average signals from heterogeneous cell populations, thereby obscuring important cellular nuances. Single-cell omics studies enable the analysis of individual cells and reveal diverse cell types, dynamic cellular states, and rare cell populations. These techniques offer unprecedented resolution and sensitivity, enabling researchers to unravel the molecular landscape of individual cells. Furthermore, the integration of multimodal omics data within a single cell provides a comprehensive and holistic view of cellular processes. By combining multiple omics dimensions, multimodal omics approaches can facilitate the elucidation of complex cellular interactions, regulatory networks, and molecular mechanisms. This integrative approach enhances our understanding of cellular systems, from development to disease. This review provides an overview of the recent advances in single-cell and multimodal omics for high-resolution molecular profiling. We discuss the principles and methodologies for representatives of each omics method, highlighting the strengths and limitations of the different techniques. In addition, we present case studies demonstrating the applications of single-cell and multimodal omics in various fields, including developmental biology, neurobiology, cancer research, immunology, and precision medicine.https://doi.org/10.1038/s12276-024-01186-2 |
| spellingShingle | Jongsu Lim Chanho Park Minjae Kim Hyukhee Kim Junil Kim Dong-Sung Lee Advances in single-cell omics and multiomics for high-resolution molecular profiling Experimental and Molecular Medicine |
| title | Advances in single-cell omics and multiomics for high-resolution molecular profiling |
| title_full | Advances in single-cell omics and multiomics for high-resolution molecular profiling |
| title_fullStr | Advances in single-cell omics and multiomics for high-resolution molecular profiling |
| title_full_unstemmed | Advances in single-cell omics and multiomics for high-resolution molecular profiling |
| title_short | Advances in single-cell omics and multiomics for high-resolution molecular profiling |
| title_sort | advances in single cell omics and multiomics for high resolution molecular profiling |
| url | https://doi.org/10.1038/s12276-024-01186-2 |
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