通过液体乳液辅助纯化 RNA 结合蛋白(LEAP-RBP)快速高效地分离总 RNA 结合蛋白质组。

IF 1 Q3 BIOLOGY
JohnCarlo Kristofich, Christopher V Nicchitta
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引用次数: 0

摘要

RNA 结合蛋白(RBPs)在 RNA 生物学各方面的关键作用促进了利用紫外线(UV)交联和方法特异性 RNA 富集步骤进行全蛋白质组鉴定和评估 RBP 功能的方法的发展。尽管这些基于紫外的以 RNA 为中心的方法对我们了解 RNA 蛋白相互作用网络有很大贡献,但它们的实用性受到 RBP 恢复偏差和显著噪声的限制,这可能会混淆有意义的解释。为了克服这些问题,我们最近开发了一种称为 "液体乳液辅助纯化 RNA 结合蛋白(LEAP-RBP)"的方法,并引入了基于信噪比(S:N)的定量指标,用于在整个蛋白质组范围内鉴定 RNA 相互作用组并准确评估全球 RBP 占有动态。与现有方法相比,LEAP-RBP 在速度、成本、效率和对 RNA 结合蛋白的选择性方面具有显著优势。在这项工作中,我们提供了一个分步指南,指导如何将 LEAP-RBP 方法成功应用于小规模和大规模的 RNA 结合蛋白质组研究。主要特点 - 从生物样本中无偏见、高效地分离总 RNA 结合蛋白、RNA 和蛋白质。- 经济高效地鉴定蛋白质组范围内的 RNA 相互作用组,验证直接 RNA 结合蛋白的功能。- 对上下文和/或条件依赖的 RBP 占位状态动态进行可靠而准确的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid and Efficient Isolation of Total RNA-Bound Proteomes by Liquid Emulsion-Assisted Purification of RNA-Bound Protein (LEAP-RBP).

The critical roles of RNA-binding proteins (RBPs) in all aspects of RNA biology fostered the development of methods utilizing ultraviolet (UV) crosslinking and method-specific RNA enrichment steps for proteome-wide identification and assessment of RBP function. Despite the substantial contributions of these UV-based RNA-centric methods to our understanding of RNA-protein interaction networks, their utility is constrained by biases in RBP recovery and significant noise contributions, which can confound meaningful interpretation. To overcome these issues, we recently developed a method termed Liquid Emulsion-Assisted Purification of RNA-Bound Protein (LEAP-RBP) and introduced quantitative signal-to-noise (S:N)-based metrics for the proteome-wide identification of RNA interactomes and accurate assessment of global RBP occupancy dynamics. Compared to existing methodologies, LEAP-RBP provides significant advantages in speed, cost, efficiency, and selectivity for RNA-bound proteins. In this work, we provide a step-by-step guide for the successful application of the LEAP-RBP method for both small- and large-scale investigations of RNA-bound proteomes. Key features • Unbiased and efficient isolation of total RNA-bound protein, RNA, and protein from biological samples. • Cost-effective identification of proteome-wide RNA interactomes and validation of direct RNA-binding protein functionality. • Robust and accurate assessment of context- and/or condition-dependent RBP occupancy state dynamics.

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