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Learning from natural variation across the proteomes of single cells
Biological functions arise from protein interactions, which are reflected in the natural variation of proteome configurations across individual cells. Emerging single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal assumptions.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765665/ https://www.ncbi.nlm.nih.gov/pubmed/34986167 http://dx.doi.org/10.1371/journal.pbio.3001512 |
| _version_ | 1784634365366501376 |
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| author | Slavov, Nikolai |
| author_facet | Slavov, Nikolai |
| author_sort | Slavov, Nikolai |
| collection | PubMed |
| description | Biological functions arise from protein interactions, which are reflected in the natural variation of proteome configurations across individual cells. Emerging single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal assumptions. |
| format | Online Article Text |
| id | pubmed-8765665 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Public Library of Science |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-87656652022-01-19 Learning from natural variation across the proteomes of single cells Slavov, Nikolai PLoS Biol Perspective Biological functions arise from protein interactions, which are reflected in the natural variation of proteome configurations across individual cells. Emerging single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal assumptions. Public Library of Science 2022-01-05 /pmc/articles/PMC8765665/ /pubmed/34986167 http://dx.doi.org/10.1371/journal.pbio.3001512 Text en © 2022 Nikolai Slavov https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| spellingShingle | Perspective Slavov, Nikolai Learning from natural variation across the proteomes of single cells |
| title | Learning from natural variation across the proteomes of single cells |
| title_full | Learning from natural variation across the proteomes of single cells |
| title_fullStr | Learning from natural variation across the proteomes of single cells |
| title_full_unstemmed | Learning from natural variation across the proteomes of single cells |
| title_short | Learning from natural variation across the proteomes of single cells |
| title_sort | learning from natural variation across the proteomes of single cells |
| topic | Perspective |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765665/ https://www.ncbi.nlm.nih.gov/pubmed/34986167 http://dx.doi.org/10.1371/journal.pbio.3001512 |
| work_keys_str_mv | AT slavovnikolai learningfromnaturalvariationacrosstheproteomesofsinglecells |