A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo.
A timer for analyzing temporally dynamic changes in transcription during differentiation in vivo.
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DOI:
10.1083/jcb.201711048
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发表时间:
2018-08-06
期刊:
影响因子:
--
通讯作者:
Ono M
中科院分区:
文献类型:
--
作者:
Bending D;Prieto Martín P;Paduraru A;Ducker C;Marzaganov E;Laviron M;Kitano S;Miyachi H;Crompton T;Ono M
Bending et al. establish a new tool, Timer of cell kinetics and activity (Tocky), revealing the temporal dynamics of cellular activation and differentiation in vivo. The tool analyzes the temporal sequence of molecular processes during cellular differentiation and can classify cells based on the frequency they receive signaling events 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 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.
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DOI:
10.4049/jimmunol.1300408
发表时间:
2013-10-01
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Li L;Nishio J;van Maurik A;Mathis D;Benoist C
通讯作者:
Benoist C
影响因子:
4.4
作者:
Burchill, Matthew A.;Yang, Jianying;Farrar, Michael A.
通讯作者:
Farrar, Michael A.
影响因子:
3.3
作者:
O'Neill EJ;Day MJ;Wraith DC
通讯作者:
Wraith DC
影响因子:
32.4
作者:
Lio, Chan-Wang Joaquim;Hsieh, Chyi-Song
通讯作者:
Hsieh, Chyi-Song
影响因子:
16.6
作者:
Koechlein CS;Harris JR;Lee TK;Weeks J;Fox RG;Zimdahl B;Ito T;Blevins A;Jung SH;Chute JP;Chourasia A;Covert MW;Reya T
通讯作者:
Reya T