Revealing the vectors of cellular identity with single-cell genomics
Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell's identity and of the ways in which identity is regulated by the cell's molecular circuitry. Emerging computational analysis methods, especi...
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| Format: | Article |
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Springer Nature
2018
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| Online Access: | http://hdl.handle.net/1721.1/116747 https://orcid.org/0000-0001-8567-2049 |
| _version_ | 1826212108029657088 |
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| author | Wagner, Allon Regev, Aviv Yosef, Nir |
| author2 | Broad Institute of MIT and Harvard |
| author_facet | Broad Institute of MIT and Harvard Wagner, Allon Regev, Aviv Yosef, Nir |
| author_sort | Wagner, Allon |
| collection | MIT |
| description | Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell's identity and of the ways in which identity is regulated by the cell's molecular circuitry. Emerging computational analysis methods, especially in single-cell RNA sequencing (scRNA-seq), have already begun to reveal, in a data-driven way, the diverse simultaneous facets of a cell's identity, from discrete cell types to continuous dynamic transitions and spatial locations. These developments will eventually allow a cell to be represented as a superposition of 'basis vectors', each determining a different (but possibly dependent) aspect of cellular organization and function. However, computational methods must also overcome considerable challenges-from handling technical noise and data scale to forming new abstractions of biology. As the scale of single-cell experiments continues to increase, new computational approaches will be essential for constructing and characterizing a reference map of cell identities. |
| first_indexed | 2024-09-23T15:16:11Z |
| format | Article |
| id | mit-1721.1/116747 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:16:11Z |
| publishDate | 2018 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | mit-1721.1/1167472022-10-02T01:49:44Z Revealing the vectors of cellular identity with single-cell genomics Wagner, Allon Regev, Aviv Yosef, Nir Broad Institute of MIT and Harvard Massachusetts Institute of Technology. Department of Biology Regev, Aviv Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell's identity and of the ways in which identity is regulated by the cell's molecular circuitry. Emerging computational analysis methods, especially in single-cell RNA sequencing (scRNA-seq), have already begun to reveal, in a data-driven way, the diverse simultaneous facets of a cell's identity, from discrete cell types to continuous dynamic transitions and spatial locations. These developments will eventually allow a cell to be represented as a superposition of 'basis vectors', each determining a different (but possibly dependent) aspect of cellular organization and function. However, computational methods must also overcome considerable challenges-from handling technical noise and data scale to forming new abstractions of biology. As the scale of single-cell experiments continues to increase, new computational approaches will be essential for constructing and characterizing a reference map of cell identities. National Institutes of Health (U.S.) (grant P50 HG006193) BRAIN Initiative (grant U01 MH105979) National Institutes of Health (U.S.) (BRAIN grant 1U01MH105960-01) National Cancer Institute (U.S.) (grant 1U24CA180922) National Institute of Allergy and Infectious Diseases (U.S.) (grant 1U24AI118672-01) 2018-07-03T14:01:58Z 2018-07-03T14:01:58Z 2016-11 2018-07-03T13:05:43Z Article http://purl.org/eprint/type/JournalArticle 1087-0156 1546-1696 http://hdl.handle.net/1721.1/116747 Wagner, Allon, Aviv Regev, and Nir Yosef. “Revealing the Vectors of Cellular Identity with Single-Cell Genomics.” Nature Biotechnology 34, no. 11 (November 2016): 1145–1160. https://orcid.org/0000-0001-8567-2049 http://dx.doi.org/10.1038/NBT.3711 Nature Biotechnology Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Nature PMC |
| spellingShingle | Wagner, Allon Regev, Aviv Yosef, Nir Revealing the vectors of cellular identity with single-cell genomics |
| title | Revealing the vectors of cellular identity with single-cell genomics |
| title_full | Revealing the vectors of cellular identity with single-cell genomics |
| title_fullStr | Revealing the vectors of cellular identity with single-cell genomics |
| title_full_unstemmed | Revealing the vectors of cellular identity with single-cell genomics |
| title_short | Revealing the vectors of cellular identity with single-cell genomics |
| title_sort | revealing the vectors of cellular identity with single cell genomics |
| url | http://hdl.handle.net/1721.1/116747 https://orcid.org/0000-0001-8567-2049 |
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