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皮牛尺度下的单分子力谱分析 Ras-BRaf 信号转导。

Piconewton-Scale Analysis of Ras-BRaf Signal Transduction with Single-Molecule Force Spectroscopy.

机构信息

Department of Pharmacology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.

School of Electronic Engineering and Computer Science, Peking University, Beijing, 100871, China.

出版信息

Small. 2017 Oct;13(40). doi: 10.1002/smll.201701972. Epub 2017 Aug 15.

Abstract

Intermolecular interactions dominate the behavior of signal transduction in various physiological and pathological cell processes, yet assessing these interactions remains a challenging task. Here, this study reports a single-molecule force spectroscopic method that enables functional delineation of two interaction sites (≈35 pN and ≈90 pN) between signaling effectors Ras and BRaf in the canonical mitogen-activated protein kinase (MAPK) pathway. This analysis reveals mutations on BRaf at Q257 and A246, two sites frequently linked to cardio-faciocutaneous syndrome, result in ≈10-30 pN alterations in RasBRaf intermolecular binding force. The magnitude of changes in RasBRaf binding force correlates with the size of alterations in protein affinity and in α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-sensitive glutamate receptor (-R)-mediated synaptic transmission in neurons expressing replacement BRaf mutants, and predicts the extent of learning impairments in animals expressing replacement BRaf mutants. These results establish single-molecule force spectroscopy as an effective platform for evaluating the piconewton-level interaction of signaling molecules and predicting the behavior outcome of signal transduction.

摘要

分子间相互作用主导着各种生理和病理细胞过程中信号转导的行为,但评估这些相互作用仍然是一项具有挑战性的任务。本研究报告了一种单分子力谱方法,该方法能够对经典丝裂原活化蛋白激酶(MAPK)途径中信号转导效应物 Ras 和 BRaf 之间的两个相互作用位点(≈35 pN 和≈90 pN)进行功能划分。该分析表明,BRaf 上的 Q257 和 A246 两个位点的突变与心面肩发育不良综合征有关,导致 RasBRaf 分子间结合力发生≈10-30 pN 的变化。RasBRaf 结合力变化的幅度与在表达替代 BRaf 突变体的神经元中,蛋白亲和力和α-氨基-3-羟基-5-甲基-4-异恶唑丙酸(AMPA)敏感性谷氨酸受体(-R)介导的突触传递变化的幅度相关,并可预测在表达替代 BRaf 突变体的动物中学习障碍的程度。这些结果确立了单分子力谱作为评估信号分子皮牛顿级相互作用和预测信号转导行为结果的有效平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/6272124/a3bfe6ada490/nihms-996556-f0001.jpg

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