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Ultra-sensitive digital quantification of proteins and mRNA in single cells

Simultaneous measurement of proteins and mRNA in single cells enables quantitative understanding and modeling of cellular functions. Here, we present an automated microfluidic system for multi-parameter and ultra-sensitive protein/mRNA measurements in single cells. Our technology improves the sensit...

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Autores principales: Lin, Jing, Jordi, Christian, Son, Minjun, Van Phan, Hoang, Drayman, Nir, Abasiyanik, Mustafa Fatih, Vistain, Luke, Tu, Hsiung-Lin, Tay, Savaş
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685952/
https://www.ncbi.nlm.nih.gov/pubmed/31391463
http://dx.doi.org/10.1038/s41467-019-11531-z
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author Lin, Jing
Jordi, Christian
Son, Minjun
Van Phan, Hoang
Drayman, Nir
Abasiyanik, Mustafa Fatih
Vistain, Luke
Tu, Hsiung-Lin
Tay, Savaş
author_facet Lin, Jing
Jordi, Christian
Son, Minjun
Van Phan, Hoang
Drayman, Nir
Abasiyanik, Mustafa Fatih
Vistain, Luke
Tu, Hsiung-Lin
Tay, Savaş
author_sort Lin, Jing
collection PubMed
description Simultaneous measurement of proteins and mRNA in single cells enables quantitative understanding and modeling of cellular functions. Here, we present an automated microfluidic system for multi-parameter and ultra-sensitive protein/mRNA measurements in single cells. Our technology improves the sensitivity of digital proximity ligation assay by up to 55-fold, with a detection limit of 2277 proteins per cell and with detection efficiency of as few as 29 protein molecules. Our measurements using this system reveal higher mRNA/protein correlation in single mammalian cells than previous estimates. Furthermore, time-lapse imaging of herpes simplex virus 1 infected epithelial cells enabled by our device shows that expression of ICP4 -a major transcription factor regulating hundreds of viral genes- is only partially correlated with viral protein counts, suggesting that many cells go through abortive infection. These results highlight the importance of high-sensitivity protein/mRNA quantification for understanding fundamental molecular mechanisms in individual cells.
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spelling pubmed-66859522019-08-09 Ultra-sensitive digital quantification of proteins and mRNA in single cells Lin, Jing Jordi, Christian Son, Minjun Van Phan, Hoang Drayman, Nir Abasiyanik, Mustafa Fatih Vistain, Luke Tu, Hsiung-Lin Tay, Savaş Nat Commun Article Simultaneous measurement of proteins and mRNA in single cells enables quantitative understanding and modeling of cellular functions. Here, we present an automated microfluidic system for multi-parameter and ultra-sensitive protein/mRNA measurements in single cells. Our technology improves the sensitivity of digital proximity ligation assay by up to 55-fold, with a detection limit of 2277 proteins per cell and with detection efficiency of as few as 29 protein molecules. Our measurements using this system reveal higher mRNA/protein correlation in single mammalian cells than previous estimates. Furthermore, time-lapse imaging of herpes simplex virus 1 infected epithelial cells enabled by our device shows that expression of ICP4 -a major transcription factor regulating hundreds of viral genes- is only partially correlated with viral protein counts, suggesting that many cells go through abortive infection. These results highlight the importance of high-sensitivity protein/mRNA quantification for understanding fundamental molecular mechanisms in individual cells. Nature Publishing Group UK 2019-08-07 /pmc/articles/PMC6685952/ /pubmed/31391463 http://dx.doi.org/10.1038/s41467-019-11531-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lin, Jing
Jordi, Christian
Son, Minjun
Van Phan, Hoang
Drayman, Nir
Abasiyanik, Mustafa Fatih
Vistain, Luke
Tu, Hsiung-Lin
Tay, Savaş
Ultra-sensitive digital quantification of proteins and mRNA in single cells
title Ultra-sensitive digital quantification of proteins and mRNA in single cells
title_full Ultra-sensitive digital quantification of proteins and mRNA in single cells
title_fullStr Ultra-sensitive digital quantification of proteins and mRNA in single cells
title_full_unstemmed Ultra-sensitive digital quantification of proteins and mRNA in single cells
title_short Ultra-sensitive digital quantification of proteins and mRNA in single cells
title_sort ultra-sensitive digital quantification of proteins and mrna in single cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685952/
https://www.ncbi.nlm.nih.gov/pubmed/31391463
http://dx.doi.org/10.1038/s41467-019-11531-z
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