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Computational Methods for Single-Cell Proteomics
Advances in single-cell proteomics technologies have resulted in high-dimensional datasets comprising millions of cells that are capable of answering key questions about biology and disease. The advent of these technologies has prompted the development of computational tools to process and visualize...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621466/ https://www.ncbi.nlm.nih.gov/pubmed/37040735 http://dx.doi.org/10.1146/annurev-biodatasci-020422-050255 |
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author | Guldberg, Sophia M. Okholm, Trine Line Hauge McCarthy, Elizabeth E. Spitzer, Matthew H. |
author_facet | Guldberg, Sophia M. Okholm, Trine Line Hauge McCarthy, Elizabeth E. Spitzer, Matthew H. |
author_sort | Guldberg, Sophia M. |
collection | PubMed |
description | Advances in single-cell proteomics technologies have resulted in high-dimensional datasets comprising millions of cells that are capable of answering key questions about biology and disease. The advent of these technologies has prompted the development of computational tools to process and visualize the complex data. In this review, we outline the steps of single-cell and spatial proteomics analysis pipelines. In addition to describing available methods, we highlight benchmarking studies that have identified advantages and pitfalls of the currently available computational toolkits. As these technologies continue to advance, robust analysis tools should be developed in tandem to take full advantage of the potential biological insights provided by these data. |
format | Online Article Text |
id | pubmed-10621466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-106214662023-11-02 Computational Methods for Single-Cell Proteomics Guldberg, Sophia M. Okholm, Trine Line Hauge McCarthy, Elizabeth E. Spitzer, Matthew H. Annu Rev Biomed Data Sci Article Advances in single-cell proteomics technologies have resulted in high-dimensional datasets comprising millions of cells that are capable of answering key questions about biology and disease. The advent of these technologies has prompted the development of computational tools to process and visualize the complex data. In this review, we outline the steps of single-cell and spatial proteomics analysis pipelines. In addition to describing available methods, we highlight benchmarking studies that have identified advantages and pitfalls of the currently available computational toolkits. As these technologies continue to advance, robust analysis tools should be developed in tandem to take full advantage of the potential biological insights provided by these data. 2023-08-10 2023-04-11 /pmc/articles/PMC10621466/ /pubmed/37040735 http://dx.doi.org/10.1146/annurev-biodatasci-020422-050255 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information. |
spellingShingle | Article Guldberg, Sophia M. Okholm, Trine Line Hauge McCarthy, Elizabeth E. Spitzer, Matthew H. Computational Methods for Single-Cell Proteomics |
title | Computational Methods for Single-Cell Proteomics |
title_full | Computational Methods for Single-Cell Proteomics |
title_fullStr | Computational Methods for Single-Cell Proteomics |
title_full_unstemmed | Computational Methods for Single-Cell Proteomics |
title_short | Computational Methods for Single-Cell Proteomics |
title_sort | computational methods for single-cell proteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621466/ https://www.ncbi.nlm.nih.gov/pubmed/37040735 http://dx.doi.org/10.1146/annurev-biodatasci-020422-050255 |
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