Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries

Existing Förster Resonance Energy Transfer (FRET) biosensors are often limited in their sensitivity. Here the authors report FRET-seq which they use to identify Fyn and ZAP70 kinase biosensors with enhanced performance, and use them to image T-cell activation and screen drugs.

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Autores principales: Longwei Liu, Praopim Limsakul, Xianhui Meng, Yan Huang, Reed E. S. Harrison, Tse-Shun Huang, Yiwen Shi, Yiyan Yu, Krit Charupanit, Sheng Zhong, Shaoying Lu, Jin Zhang, Shu Chien, Jie Sun, Yingxiao Wang
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/bb6ff210871349e99294dd89352b8506
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spelling oai:doaj.org-article:bb6ff210871349e99294dd89352b85062021-12-02T16:45:48ZIntegration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries10.1038/s41467-021-25323-x2041-1723https://doaj.org/article/bb6ff210871349e99294dd89352b85062021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25323-xhttps://doaj.org/toc/2041-1723Existing Förster Resonance Energy Transfer (FRET) biosensors are often limited in their sensitivity. Here the authors report FRET-seq which they use to identify Fyn and ZAP70 kinase biosensors with enhanced performance, and use them to image T-cell activation and screen drugs.Longwei LiuPraopim LimsakulXianhui MengYan HuangReed E. S. HarrisonTse-Shun HuangYiwen ShiYiyan YuKrit CharupanitSheng ZhongShaoying LuJin ZhangShu ChienJie SunYingxiao WangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Longwei Liu
Praopim Limsakul
Xianhui Meng
Yan Huang
Reed E. S. Harrison
Tse-Shun Huang
Yiwen Shi
Yiyan Yu
Krit Charupanit
Sheng Zhong
Shaoying Lu
Jin Zhang
Shu Chien
Jie Sun
Yingxiao Wang
Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
description Existing Förster Resonance Energy Transfer (FRET) biosensors are often limited in their sensitivity. Here the authors report FRET-seq which they use to identify Fyn and ZAP70 kinase biosensors with enhanced performance, and use them to image T-cell activation and screen drugs.
format article
author Longwei Liu
Praopim Limsakul
Xianhui Meng
Yan Huang
Reed E. S. Harrison
Tse-Shun Huang
Yiwen Shi
Yiyan Yu
Krit Charupanit
Sheng Zhong
Shaoying Lu
Jin Zhang
Shu Chien
Jie Sun
Yingxiao Wang
author_facet Longwei Liu
Praopim Limsakul
Xianhui Meng
Yan Huang
Reed E. S. Harrison
Tse-Shun Huang
Yiwen Shi
Yiyan Yu
Krit Charupanit
Sheng Zhong
Shaoying Lu
Jin Zhang
Shu Chien
Jie Sun
Yingxiao Wang
author_sort Longwei Liu
title Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
title_short Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
title_full Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
title_fullStr Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
title_full_unstemmed Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries
title_sort integration of fret and sequencing to engineer kinase biosensors from mammalian cell libraries
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/bb6ff210871349e99294dd89352b8506
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