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Techniques for Studying Decoding of Single Cell Dynamics

Cells must be able to interpret signals they encounter and reliably generate an appropriate response. It has long been known that the dynamics of transcription factor and kinase activation can play a crucial role in selecting an individual cell's response. The study of cellular dynamics has exp...

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Detalles Bibliográficos
Autores principales: Jeknić, Stevan, Kudo, Takamasa, Covert, Markus W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470274/
https://www.ncbi.nlm.nih.gov/pubmed/31031756
http://dx.doi.org/10.3389/fimmu.2019.00755
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author Jeknić, Stevan
Kudo, Takamasa
Covert, Markus W.
author_facet Jeknić, Stevan
Kudo, Takamasa
Covert, Markus W.
author_sort Jeknić, Stevan
collection PubMed
description Cells must be able to interpret signals they encounter and reliably generate an appropriate response. It has long been known that the dynamics of transcription factor and kinase activation can play a crucial role in selecting an individual cell's response. The study of cellular dynamics has expanded dramatically in the last few years, with dynamics being discovered in novel pathways, new insights being revealed about the importance of dynamics, and technological improvements increasing the throughput and capabilities of single cell measurements. In this review, we highlight the important developments in this field, with a focus on the methods used to make new discoveries. We also include a discussion on improvements in methods for engineering and measuring single cell dynamics and responses. Finally, we will briefly highlight some of the many challenges and avenues of research that are still open.
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spelling pubmed-64702742019-04-26 Techniques for Studying Decoding of Single Cell Dynamics Jeknić, Stevan Kudo, Takamasa Covert, Markus W. Front Immunol Immunology Cells must be able to interpret signals they encounter and reliably generate an appropriate response. It has long been known that the dynamics of transcription factor and kinase activation can play a crucial role in selecting an individual cell's response. The study of cellular dynamics has expanded dramatically in the last few years, with dynamics being discovered in novel pathways, new insights being revealed about the importance of dynamics, and technological improvements increasing the throughput and capabilities of single cell measurements. In this review, we highlight the important developments in this field, with a focus on the methods used to make new discoveries. We also include a discussion on improvements in methods for engineering and measuring single cell dynamics and responses. Finally, we will briefly highlight some of the many challenges and avenues of research that are still open. Frontiers Media S.A. 2019-04-11 /pmc/articles/PMC6470274/ /pubmed/31031756 http://dx.doi.org/10.3389/fimmu.2019.00755 Text en Copyright © 2019 Jeknić, Kudo and Covert. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Jeknić, Stevan
Kudo, Takamasa
Covert, Markus W.
Techniques for Studying Decoding of Single Cell Dynamics
title Techniques for Studying Decoding of Single Cell Dynamics
title_full Techniques for Studying Decoding of Single Cell Dynamics
title_fullStr Techniques for Studying Decoding of Single Cell Dynamics
title_full_unstemmed Techniques for Studying Decoding of Single Cell Dynamics
title_short Techniques for Studying Decoding of Single Cell Dynamics
title_sort techniques for studying decoding of single cell dynamics
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470274/
https://www.ncbi.nlm.nih.gov/pubmed/31031756
http://dx.doi.org/10.3389/fimmu.2019.00755
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