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Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations
Extracellular response kinase (ERK) is one of the key regulator of cell fate, such as proliferation, differentiation and cell migration. Here, we propose a novel experimental pipeline to learn ERK kinetics by temporal growth factor (GF) stimulation. High signal-to-noise ratio of genetically encoded...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057930/ https://www.ncbi.nlm.nih.gov/pubmed/30042437 http://dx.doi.org/10.1038/s41598-018-28873-1 |
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author | Ryu, Hyunryul Chung, Minhwan Song, Jiyoung Lee, Sung Sik Pertz, Olivier Jeon, Noo Li |
author_facet | Ryu, Hyunryul Chung, Minhwan Song, Jiyoung Lee, Sung Sik Pertz, Olivier Jeon, Noo Li |
author_sort | Ryu, Hyunryul |
collection | PubMed |
description | Extracellular response kinase (ERK) is one of the key regulator of cell fate, such as proliferation, differentiation and cell migration. Here, we propose a novel experimental pipeline to learn ERK kinetics by temporal growth factor (GF) stimulation. High signal-to-noise ratio of genetically encoded Fluorescence resonance energy transfer (FRET) biosensor enables to get a large number of single-cell ERK activity at each time point, while computer-controlled microfluidics fine-tune the temporal stimulation. Using this platform, we observed that static Epidermal growth factor (EGF) stimulation led to transient ERK activation with a significant cell-to-cell variation, while dynamic stimulation of 3′ EGF pulse led to faster adaptation kinetics with no discrepancy. Multiple EGF pulses retriggered ERK activity with respect to frequency of stimulation. We also observed oscillation of ERK activity of each cell at basal state. Introducing of Mitogen-activated protein kinase kinase (MEK) inhibitor, U0126, was not only dropping the average of basal activity for 7.5%, but also diminishing oscillatory behavior. Activity level raised up when inhibitor was removed, followed by transient peak of ERK kinetics. We expect this platform to probe Mitogen-associated protein kinase (MAPK) signaling network for systems biology research at single cellular level. |
format | Online Article Text |
id | pubmed-6057930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60579302018-07-31 Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations Ryu, Hyunryul Chung, Minhwan Song, Jiyoung Lee, Sung Sik Pertz, Olivier Jeon, Noo Li Sci Rep Article Extracellular response kinase (ERK) is one of the key regulator of cell fate, such as proliferation, differentiation and cell migration. Here, we propose a novel experimental pipeline to learn ERK kinetics by temporal growth factor (GF) stimulation. High signal-to-noise ratio of genetically encoded Fluorescence resonance energy transfer (FRET) biosensor enables to get a large number of single-cell ERK activity at each time point, while computer-controlled microfluidics fine-tune the temporal stimulation. Using this platform, we observed that static Epidermal growth factor (EGF) stimulation led to transient ERK activation with a significant cell-to-cell variation, while dynamic stimulation of 3′ EGF pulse led to faster adaptation kinetics with no discrepancy. Multiple EGF pulses retriggered ERK activity with respect to frequency of stimulation. We also observed oscillation of ERK activity of each cell at basal state. Introducing of Mitogen-activated protein kinase kinase (MEK) inhibitor, U0126, was not only dropping the average of basal activity for 7.5%, but also diminishing oscillatory behavior. Activity level raised up when inhibitor was removed, followed by transient peak of ERK kinetics. We expect this platform to probe Mitogen-associated protein kinase (MAPK) signaling network for systems biology research at single cellular level. Nature Publishing Group UK 2018-07-24 /pmc/articles/PMC6057930/ /pubmed/30042437 http://dx.doi.org/10.1038/s41598-018-28873-1 Text en © The Author(s) 2018 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 Ryu, Hyunryul Chung, Minhwan Song, Jiyoung Lee, Sung Sik Pertz, Olivier Jeon, Noo Li Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title | Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title_full | Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title_fullStr | Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title_full_unstemmed | Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title_short | Integrated Platform for Monitoring Single-cell MAPK Kinetics in Computer-controlled Temporal Stimulations |
title_sort | integrated platform for monitoring single-cell mapk kinetics in computer-controlled temporal stimulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057930/ https://www.ncbi.nlm.nih.gov/pubmed/30042437 http://dx.doi.org/10.1038/s41598-018-28873-1 |
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