Label-free single-cell protein quantification using a drop-based mix-and-read system

Quantitative protein analysis of single cells is rarely achieved due to technical difficulties of detecting minute amounts of proteins present in one cell. We develop a mix-and-read assay for drop-based label-free protein analysis of single cells. This high-throughput method quantifies absolute, rat...

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Autores principales: Abbaspourrad, Alireza, Zhang, Huidan, Tao, Ye, Cui, Naiwen, Asahara, Haruichi, Zhou, Ying, Yue, Dongxian, Koehler, Stephan A., Ung, Lloyd W., Heyman, John, Ren, Yukun, Ziblat, Roy, Chong, Shaorong, Weitz, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522677/
https://www.ncbi.nlm.nih.gov/pubmed/26234416
http://dx.doi.org/10.1038/srep12756
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author Abbaspourrad, Alireza
Zhang, Huidan
Tao, Ye
Cui, Naiwen
Asahara, Haruichi
Zhou, Ying
Yue, Dongxian
Koehler, Stephan A.
Ung, Lloyd W.
Heyman, John
Ren, Yukun
Ziblat, Roy
Chong, Shaorong
Weitz, David A.
author_facet Abbaspourrad, Alireza
Zhang, Huidan
Tao, Ye
Cui, Naiwen
Asahara, Haruichi
Zhou, Ying
Yue, Dongxian
Koehler, Stephan A.
Ung, Lloyd W.
Heyman, John
Ren, Yukun
Ziblat, Roy
Chong, Shaorong
Weitz, David A.
author_sort Abbaspourrad, Alireza
collection PubMed
description Quantitative protein analysis of single cells is rarely achieved due to technical difficulties of detecting minute amounts of proteins present in one cell. We develop a mix-and-read assay for drop-based label-free protein analysis of single cells. This high-throughput method quantifies absolute, rather than relative, amounts of proteins and does not involve antibody labeling or mass spectrometry.
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spelling pubmed-45226772015-08-06 Label-free single-cell protein quantification using a drop-based mix-and-read system Abbaspourrad, Alireza Zhang, Huidan Tao, Ye Cui, Naiwen Asahara, Haruichi Zhou, Ying Yue, Dongxian Koehler, Stephan A. Ung, Lloyd W. Heyman, John Ren, Yukun Ziblat, Roy Chong, Shaorong Weitz, David A. Sci Rep Article Quantitative protein analysis of single cells is rarely achieved due to technical difficulties of detecting minute amounts of proteins present in one cell. We develop a mix-and-read assay for drop-based label-free protein analysis of single cells. This high-throughput method quantifies absolute, rather than relative, amounts of proteins and does not involve antibody labeling or mass spectrometry. Nature Publishing Group 2015-08-03 /pmc/articles/PMC4522677/ /pubmed/26234416 http://dx.doi.org/10.1038/srep12756 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Abbaspourrad, Alireza
Zhang, Huidan
Tao, Ye
Cui, Naiwen
Asahara, Haruichi
Zhou, Ying
Yue, Dongxian
Koehler, Stephan A.
Ung, Lloyd W.
Heyman, John
Ren, Yukun
Ziblat, Roy
Chong, Shaorong
Weitz, David A.
Label-free single-cell protein quantification using a drop-based mix-and-read system
title Label-free single-cell protein quantification using a drop-based mix-and-read system
title_full Label-free single-cell protein quantification using a drop-based mix-and-read system
title_fullStr Label-free single-cell protein quantification using a drop-based mix-and-read system
title_full_unstemmed Label-free single-cell protein quantification using a drop-based mix-and-read system
title_short Label-free single-cell protein quantification using a drop-based mix-and-read system
title_sort label-free single-cell protein quantification using a drop-based mix-and-read system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522677/
https://www.ncbi.nlm.nih.gov/pubmed/26234416
http://dx.doi.org/10.1038/srep12756
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