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ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023)
Single‐Cell Proteomics Single‐cell proteomics provides an unprecedented view of cellular heterogeneity at the single‐cell resolution, enabling a better understanding of biological mechanisms. In article number 2207061, Ying Zhang, Huaicheng Sun, Feng Zhu, and co‐workers develop ANPELA, a significant...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214219/ http://dx.doi.org/10.1002/advs.202370090 |
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author | Zhang, Ying Sun, Huaicheng Lian, Xichen Tang, Jing Zhu, Feng |
author_facet | Zhang, Ying Sun, Huaicheng Lian, Xichen Tang, Jing Zhu, Feng |
author_sort | Zhang, Ying |
collection | PubMed |
description | Single‐Cell Proteomics Single‐cell proteomics provides an unprecedented view of cellular heterogeneity at the single‐cell resolution, enabling a better understanding of biological mechanisms. In article number 2207061, Ying Zhang, Huaicheng Sun, Feng Zhu, and co‐workers develop ANPELA, a significantly enhanced quantification tool that facilitates the analysis of high‐dimensional single‐cell proteome expression data and the identification of cell populations with distinct static or pseudo‐temporal phenotypes. This work sheds light on the importance of accurate quantification and proper data processing in advancing single‐cell proteomics research. [Image: see text] |
format | Online Article Text |
id | pubmed-10214219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102142192023-05-27 ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) Zhang, Ying Sun, Huaicheng Lian, Xichen Tang, Jing Zhu, Feng Adv Sci (Weinh) Inside Front Cover Single‐Cell Proteomics Single‐cell proteomics provides an unprecedented view of cellular heterogeneity at the single‐cell resolution, enabling a better understanding of biological mechanisms. In article number 2207061, Ying Zhang, Huaicheng Sun, Feng Zhu, and co‐workers develop ANPELA, a significantly enhanced quantification tool that facilitates the analysis of high‐dimensional single‐cell proteome expression data and the identification of cell populations with distinct static or pseudo‐temporal phenotypes. This work sheds light on the importance of accurate quantification and proper data processing in advancing single‐cell proteomics research. [Image: see text] John Wiley and Sons Inc. 2023-05-26 /pmc/articles/PMC10214219/ http://dx.doi.org/10.1002/advs.202370090 Text en © 2023 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Inside Front Cover Zhang, Ying Sun, Huaicheng Lian, Xichen Tang, Jing Zhu, Feng ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title | ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title_full | ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title_fullStr | ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title_full_unstemmed | ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title_short | ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics (Adv. Sci. 15/2023) |
title_sort | anpela: significantly enhanced quantification tool for cytometry‐based single‐cell proteomics (adv. sci. 15/2023) |
topic | Inside Front Cover |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214219/ http://dx.doi.org/10.1002/advs.202370090 |
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