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A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo
Understanding the mechanisms of cellular differentiation is challenging because differentiation is initiated by signaling pathways that drive temporally dynamic processes, which are difficult to analyze in vivo. We establish a new tool, Timer of cell kinetics and activity (Tocky; or toki [time in Ja...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Rockefeller University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080944/ https://www.ncbi.nlm.nih.gov/pubmed/29941474 http://dx.doi.org/10.1083/jcb.201711048 |
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author | Bending, David Prieto Martín, Paz Paduraru, Alina Ducker, Catherine Marzaganov, Erik Laviron, Marie Kitano, Satsuki Miyachi, Hitoshi Crompton, Tessa Ono, Masahiro |
author_facet | Bending, David Prieto Martín, Paz Paduraru, Alina Ducker, Catherine Marzaganov, Erik Laviron, Marie Kitano, Satsuki Miyachi, Hitoshi Crompton, Tessa Ono, Masahiro |
author_sort | Bending, David |
collection | PubMed |
description | Understanding the mechanisms of cellular differentiation is challenging because differentiation is initiated by signaling pathways that drive temporally dynamic processes, which are difficult to analyze in vivo. We establish a new tool, Timer of cell kinetics and activity (Tocky; or toki [time in Japanese]). Tocky uses the fluorescent Timer protein, which spontaneously shifts its emission spectrum from blue to red, in combination with computer algorithms to reveal the dynamics of differentiation in vivo. Using a transcriptional target of T cell receptor (TCR) signaling, we establish Nr4a3-Tocky to follow downstream effects of TCR signaling. Nr4a3-Tocky reveals the temporal sequence of events during regulatory T cell (Treg) differentiation and shows that persistent TCR signals occur during Treg generation. Remarkably, antigen-specific T cells at the site of autoimmune inflammation also show persistent TCR signaling. In addition, by generating Foxp3-Tocky, we reveal the in vivo dynamics of demethylation of the Foxp3 gene. Thus, Tocky is a tool for cell biologists to address previously inaccessible questions by directly revealing dynamic processes in vivo. |
format | Online Article Text |
id | pubmed-6080944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60809442018-08-08 A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo Bending, David Prieto Martín, Paz Paduraru, Alina Ducker, Catherine Marzaganov, Erik Laviron, Marie Kitano, Satsuki Miyachi, Hitoshi Crompton, Tessa Ono, Masahiro J Cell Biol Research Articles Understanding the mechanisms of cellular differentiation is challenging because differentiation is initiated by signaling pathways that drive temporally dynamic processes, which are difficult to analyze in vivo. We establish a new tool, Timer of cell kinetics and activity (Tocky; or toki [time in Japanese]). Tocky uses the fluorescent Timer protein, which spontaneously shifts its emission spectrum from blue to red, in combination with computer algorithms to reveal the dynamics of differentiation in vivo. Using a transcriptional target of T cell receptor (TCR) signaling, we establish Nr4a3-Tocky to follow downstream effects of TCR signaling. Nr4a3-Tocky reveals the temporal sequence of events during regulatory T cell (Treg) differentiation and shows that persistent TCR signals occur during Treg generation. Remarkably, antigen-specific T cells at the site of autoimmune inflammation also show persistent TCR signaling. In addition, by generating Foxp3-Tocky, we reveal the in vivo dynamics of demethylation of the Foxp3 gene. Thus, Tocky is a tool for cell biologists to address previously inaccessible questions by directly revealing dynamic processes in vivo. Rockefeller University Press 2018-08-06 /pmc/articles/PMC6080944/ /pubmed/29941474 http://dx.doi.org/10.1083/jcb.201711048 Text en © 2018 Bending et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Articles Bending, David Prieto Martín, Paz Paduraru, Alina Ducker, Catherine Marzaganov, Erik Laviron, Marie Kitano, Satsuki Miyachi, Hitoshi Crompton, Tessa Ono, Masahiro A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title | A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title_full | A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title_fullStr | A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title_full_unstemmed | A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title_short | A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
title_sort | timer for analyzing temporally dynamic changes in transcription during differentiation in vivo |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080944/ https://www.ncbi.nlm.nih.gov/pubmed/29941474 http://dx.doi.org/10.1083/jcb.201711048 |
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