Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries.
Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries.
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DOI:
10.1038/s41467-021-25323-x
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发表时间:
2021-08-19
影响因子:
16.6
通讯作者:
Wang Y
中科院分区:
文献类型:
--
作者:
Liu L;Limsakul P;Meng X;Huang Y;Harrison RES;Huang TS;Shi Y;Yu Y;Charupanit K;Zhong S;Lu S;Zhang J;Chien S;Sun J;Wang Y
The limited sensitivity of Förster Resonance Energy Transfer (FRET) biosensors hinders their broader applications. Here, we develop an approach integrating high-throughput FRET sorting and next-generation sequencing (FRET-Seq) to identify sensitive biosensors with varying substrate sequences from large-scale libraries directly in mammalian cells, utilizing the design of self-activating FRET (saFRET) biosensor. The resulting biosensors of Fyn and ZAP70 kinases exhibit enhanced performance and enable the dynamic imaging of T-cell activation mediated by T cell receptor (TCR) or chimeric antigen receptor (CAR), revealing a highly organized ZAP70 subcellular activity pattern upon TCR but not CAR engagement. The ZAP70 biosensor elucidates the role of immunoreceptor tyrosine-based activation motif (ITAM) in affecting ZAP70 activation to regulate CAR functions. A saFRET biosensor-based high-throughput drug screening (saFRET-HTDS) assay further enables the identification of an FDA-approved cancer drug, Sunitinib, that can be repurposed to inhibit ZAP70 activity and autoimmune-disease-related T-cell activation. 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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影响因子:
7.3
作者:
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通讯作者:
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影响因子:
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DOI:
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发表时间:
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