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Research Article
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Erratum Notice
Important: There has been an erratum issued for this article. View Erratum Notice
Retraction Notice
The article Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data (10.3791/61715) has been retracted by the journal upon the authors' request due to a conflict regarding the data and methodology. View Retraction Notice
来源:Nolan, R. 等人。免校准体外 使用商业仪器和免费的开源亮度分析软件对蛋白质同源寡聚化进行定量。J. Vis. Exp. (2018 年)
该视频演示了荧光波动光谱 (FFS) 研究蛋白质同源寡聚化的技术。使用 FFS 研究蛋白质寡聚化时,样品中荧光标记的蛋白质使用试剂进行二聚化。使用共聚焦显微镜,当蛋白质移入和移出小观察体积时,对荧光分子亮度的波动进行分析,以确定蛋白质的寡聚状态。
1. FKBP12 F36V -mVenus 纯化
2. 多孔板阵列的制备
3. 免校准共聚焦采集
4. 使用 R 包 nandb 进行去趋势和亮度分析

图 1.应用 N&B 检测溶液中的蛋白质单体-二聚体转变。(a) 配备激光源(在 mVenus 标记蛋白质的情况下设置为 514 nm)的激光扫描显微镜 (LSM) 的简化光路,该激光源(在我们的例子中设置为 514 nm)指向浸没物镜(在我们的例子中为 63X1.4NA 油)照射 100 nM FKBP12F36V-mVenus 溶液。发射荧光(绿色箭头)穿过二向色镜,并被引导至清洁发射光的带通滤光片,以及位于能够进行光子计数的点数字探测器正前方的 1 个艾里单元处的针孔。(b) 通过 16 x 16 像素扫描共聚焦照明体积,照亮进出高斯形状共聚焦体积的单个 FKBP12F36V-mVenus 分子,产生一系列荧光强度波动。(c) 随时间采集的图像系列

图 2.需要自动去趋势来准确测量溶液中的单体群。(a) 按照协议部分所述采集了 5000 张 16 x 16 像素图像堆栈。第一帧的强度与平均时间分辨强度曲线一起显示,后者显示可能与漂白和其他溶剂和/或光物理效应有关的长期波动。无论这些长期波动的原因是什么,它们都会影响亮度计算,因此需要去除趋势。如果没有自动去趋势,则得到 B = 1.026,而在自动去趋势后,B = 1.005。此外,还显示了不带平滑过滤(左面板,第二行)和带平滑过滤(右面板,第二行)的亮度。(b) 对 (a) 中提供的相同数据进行去趋势处理,并显示强度和亮度的结果。