Single-cell technologies for monitoring immune systems
The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates o...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2021
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| Online Access: | https://hdl.handle.net/1721.1/133928 |
| _version_ | 1826201553333125120 |
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| author | Chattopadhyay, Pratip K Gierahn, Todd M Roederer, Mario Love, J Christopher |
| author2 | Koch Institute for Integrative Cancer Research at MIT |
| author_facet | Koch Institute for Integrative Cancer Research at MIT Chattopadhyay, Pratip K Gierahn, Todd M Roederer, Mario Love, J Christopher |
| author_sort | Chattopadhyay, Pratip K |
| collection | MIT |
| description | The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates of disease or immunological interventions as well as for elucidating the underlying mechanisms of immunity. Here we review limitations of bulk measurements and explore advances in single-cell technologies that overcome these problems by expanding the depth and breadth of functional and phenotypic analysis in space and time. The geometric increases in complexity of data make formidable hurdles for exploring, analyzing and presenting results. We summarize recent approaches to making such computations tractable and discuss challenges for integrating heterogeneous data obtained using these single-cell technologies. © 2014 Nature America, Inc. |
| first_indexed | 2024-09-23T11:53:33Z |
| format | Article |
| id | mit-1721.1/133928 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:53:33Z |
| publishDate | 2021 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1339282023-03-01T15:33:39Z Single-cell technologies for monitoring immune systems Chattopadhyay, Pratip K Gierahn, Todd M Roederer, Mario Love, J Christopher Koch Institute for Integrative Cancer Research at MIT The complex heterogeneity of cells, and their interconnectedness with each other, are major challenges to identifying clinically relevant measurements that reflect the state and capability of the immune system. Highly multiplexed, single-cell technologies may be critical for identifying correlates of disease or immunological interventions as well as for elucidating the underlying mechanisms of immunity. Here we review limitations of bulk measurements and explore advances in single-cell technologies that overcome these problems by expanding the depth and breadth of functional and phenotypic analysis in space and time. The geometric increases in complexity of data make formidable hurdles for exploring, analyzing and presenting results. We summarize recent approaches to making such computations tractable and discuss challenges for integrating heterogeneous data obtained using these single-cell technologies. © 2014 Nature America, Inc. 2021-10-27T19:57:15Z 2021-10-27T19:57:15Z 2014 2019-09-09T17:47:21Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133928 en 10.1038/NI.2796 Nature Immunology Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Science and Business Media LLC PMC |
| spellingShingle | Chattopadhyay, Pratip K Gierahn, Todd M Roederer, Mario Love, J Christopher Single-cell technologies for monitoring immune systems |
| title | Single-cell technologies for monitoring immune systems |
| title_full | Single-cell technologies for monitoring immune systems |
| title_fullStr | Single-cell technologies for monitoring immune systems |
| title_full_unstemmed | Single-cell technologies for monitoring immune systems |
| title_short | Single-cell technologies for monitoring immune systems |
| title_sort | single cell technologies for monitoring immune systems |
| url | https://hdl.handle.net/1721.1/133928 |
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