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Data · dataset · 2022

RASopathy Mutations Provide Functional Insight into the BRAF Cysteine-rich Domain and Demonstrate the Importance of Autoinhibition in BRAF Regulation

Listed in Teesside University Research Data Repository

BRAF is frequently mutated in human cancer and the RASopathy syndromes, with RASopathy mutations often observed in the cysteine-rich domain (CRD).

Description

Although the CRD participates in phosphatidylserine (PS) binding, the RAS-RAF interaction, and RAF autoinhibition, the impact of these activities on RAF function in normal and disease states is not well-characterized. In this study, we have conducted an in-depth analysis of a panel of RASopathy-associated B-Raf CRD mutations for their effects on CRD function using a combination of approaches, including surface plasmon resonance analysis to measure PS binding, a bioluminescence resonance energy transfer (BRET) assay to monitor the Ras/Raf interaction in live cells, and a novel BRET assay developed by our group to quantify Raf autoinhibitory interaction under live cell conditions.

In addition, we have examined the impact of these mutations on the biological function of BRAF in cell culture systems and zebrafish embryos, and we have compared the properties of the BRAF-CRD with those of the CRAF-CRD. Through this analysis, we find that the BRAF-CRD is a stronger mediator of both PS binding and autoinhibition than is the CRAF-CRD and that the RASopathy-associated BRAF-CRD mutations can be classified into three functional groups: Class A, causing relief in autoinhibition; Class B, relieving autoinhibition and enhancing PS/plasma membrane binding; and Class C, enhancing PS/membrane binding alone.

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We find that relief of autoinhibition is the major factor determining mutation severity in zebrafish models and we show that CRD-mediated autoinhibition is essential for preventing the constitutive plasma membrane localization of BRAF and increased RAS-dependent and RAS-independent function. The files in this data set include original images of cells and immunoblots.

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Inferred from text
Cancer 75% · Disease 75% · Image 65%
Provenance · 1 source records, 10 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/d89bbp4k2k.117 h agoJSON v1
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