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Title
Japanese:STREAMING-tag system reveals spatiotemporal relationships between transcriptional regulatory factors and transcriptional activity 
English:STREAMING-tag system reveals spatiotemporal relationships between transcriptional regulatory factors and transcriptional activity 
Author
Japanese: Hiroaki Ohishi, Seiru Shimada, Satoshi Uchino, Jieru Li, Yuko Sato, Manabu Shintani, owada hitoshi, Yasuyuki Ohkawa, Alexandros Pertsinidis, Takashi Yamamoto, 木村宏, Hiroshi Ochiai.  
English: Hiroaki Ohishi, Seiru Shimada, Satoshi Uchino, Jieru Li, Yuko Sato, Manabu Shintani, owada hitoshi, Yasuyuki Ohkawa, Alexandros Pertsinidis, Takashi Yamamoto, Hiroshi Kimura, Hiroshi Ochiai.  
Language English 
Journal/Book name
Japanese:Nature Communications 
English:Nature Communications 
Volume, Number, Page Vol. 13    No. 1   
Published date Dec. 20, 2022 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL http://dx.doi.org/10.1038/s41467-022-35286-2
 
DOI https://doi.org/10.1038/s41467-022-35286-2
Abstract <jats:title>Abstract</jats:title><jats:p>Transcription is a dynamic process. To detect the dynamic relationship among protein clusters of RNA polymerase II and coactivators, gene loci, and transcriptional activity, we insert an MS2 repeat, a TetO repeat, and inteins with a selection marker just downstream of the transcription start site. By optimizing the individual elements, we develop the Spliced TetO REpeAt, MS2 repeat, and INtein sandwiched reporter Gene tag (STREAMING-tag) system. Clusters of RNA polymerase II and BRD4 are observed proximal to the transcription start site of <jats:italic>Nanog</jats:italic> when the gene is transcribed in mouse embryonic stem cells. In contrast, clusters of MED19 and MED22 tend to be located near the transcription start site, even without transcription activity. Thus, the STREAMING-tag system reveals the spatiotemporal relationships between transcriptional activity and protein clusters near the gene. This powerful tool is useful for quantitatively understanding transcriptional regulation in living cells.</jats:p>

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