DSFworld: A flexible and precise tool to analyze differential scanning fluorimetry data.

IF 4.5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Science Pub Date : 2024-06-01 DOI:10.1002/pro.5022
Taiasean Wu, Zachary J Gale-Day, Jason E Gestwicki
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Abstract

Differential scanning fluorimetry (DSF) is a method to determine the apparent melting temperature (Tma) of a purified protein. In DSF, the raw unfolding curves from which Tma is calculated vary widely in shape and complexity. However, the tools available for calculating Tma are only compatible with the simplest of DSF curves, hindering many otherwise straightforward applications of the technology. To overcome this limitation, we designed new mathematical models for Tma calculation that accommodate common forms of variation in DSF curves, including the number of transitions, the presence of high initial signal, and temperature-dependent signal decay. When tested these models against DSFbase, an open-source database of 6235 raw, real-life DSF curves, these models outperformed the existing standard approaches of sigmoid fitting and maximum of the first derivative. To make these models accessible, we created an open-source software and website, DSFworld (https://gestwickilab.shinyapps.io/dsfworld/). In addition to these improved fitting capabilities, DSFworld also includes features that overcome the practical limitations of many analysis workflows, including automatic reformatting of raw data exported from common qPCR instruments, labeling of data based on experimental variables, and flexible interactive plotting. We hope that DSFworld will enable more streamlined and accurate calculation of Tma values for DSF experiments.

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DSFworld:分析差示扫描荧光光谱数据的灵活而精确的工具。
差示扫描荧光测定法(DSF)是一种测定纯化蛋白质表观熔化温度(Tma)的方法。在差示扫描荧光测定法中,计算 Tma 的原始展开曲线在形状和复杂程度上千差万别。然而,用于计算 Tma 的工具只能与最简单的 DSF 曲线兼容,从而阻碍了该技术的许多其他直接应用。为了克服这一限制,我们设计了新的 Tma 计算数学模型,以适应 DSF 曲线中常见的变化形式,包括跃迁次数、高初始信号的存在以及随温度变化的信号衰减。DSFbase 是一个包含 6235 条原始真实 DSF 曲线的开源数据库,在用 DSFbase 对这些模型进行测试时,这些模型的性能优于现有的标准方法--sigmoid 拟合和一阶导数最大值。为了使这些模型易于访问,我们创建了一个开源软件和网站 DSFworld (https://gestwickilab.shinyapps.io/dsfworld/)。除了这些改进的拟合能力外,DSFworld 还具有克服许多分析工作流程实际限制的功能,包括自动重新格式化从普通 qPCR 仪器导出的原始数据、根据实验变量标记数据以及灵活的交互式绘图。我们希望 DSFworld 能够使 DSF 实验的 Tma 值计算更加简化和准确。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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