差示扫描荧光法（Differential Scanning Fluorimetry, 简称DSF），是在荧光定量PCR仪上缓慢加热样品，在加热的过程中检测荧光染料与结构发生改变的蛋白质相结合的量，来评价蛋白质热稳定性的方法。

2022年9月20日 · 差示扫描荧光法（DSF），也被称为thermal shift assay（TSA），是表征蛋白热稳定性的常用方法之一，广泛应用于蛋白配体互作表征，突变体、缓冲液、去垢剂筛选等领域。

2023年12月15日 · Differential scanning fluorimetry (DSF) is a widely used technique for determining the apparent melting temperature (Tma) of a purified protein. Here, we present a protocol for performing and optimizing DSF experiments. We describe steps for designing and performing the experiment, analyzing data, and optimization.

2020年1月31日 · We illustrate the uses of DSF in protein buffer optimization for stability, refolding, and crystallization purposes and provide several examples of each. We also show the use of DSF in a more downstream application, where it is used as an in vivo validation tool of ligand-target interaction in cell assays.

2024年5月14日 · Differential scanning fluorimetry (DSF) is a technique that reports protein thermal stability via the selective recognition of unfolded states by fluorogenic...

Conventional Differential Scanning Fluorimetry (DSF) uses a real-time PCR instrument to monitor thermally induced protein denaturation by measuring changes in fluorescence of a dye that binds preferentially to unfolded protein (such as Sypro Orange, which binds to hydrophobic regions of proteins exposed by unfolding).

2025年1月29日 · Differential scanning fluorimetry (DSF) is a technique used to determine a protein’s stability. In a typical DSF experiment, a purified protein is heated in the presence of a fluorescent dye and the resulting temperature vs fluorescence plot is used to calculate its apparent melting temperature.

使用SUPR-DSF 获得NISTmAb (NIST 单抗标准品) 的差示扫描荧光数据,并将结果与差示扫描量热法 (DSC) 所获得的数据进行比较。 SUPR-DSF 可以解析NISTmAb所有的三个结构域: CH2(69°C),CH3 (83°C) ,和Fab区域(94°C)。 SUPR-DSF 的最高扫描温度为105°C,可以精确测量异常稳定的Fab区域熔解温度,而其他DSF平台的扫描最高温度一般仅为95°C,容易丢失单抗Fab区域去折叠变性的重要信息 ( 图5(a) )。 15 个单点突变体。 在1.5小时内,384 孔的数据)。 用模型对数.

CPB的最适pH为8.0，偏酸或偏碱均会造成活性下降，pH接近5.0时活性接近零，pH>12.0时活性完全丧失。 CPB在一定温度内（ 重组羧肽酶B（RCPB）说明书

2023年10月8日 · 首次开发了一个基于蛋白预警因素和临床预警因素的CPB-ARDS预警模型，经外部队列验证该模型预测性能良好：分别建立模型训练队列和验证队列，筛选临床预警因素，联合ELISA验证后的预警蛋白建立CPB-ARDS的列线图预警模型，应用于CPB-ARDS的个体化预测；开 …