Live-cell imaging data for DASC (disassembly asymmetry score classification) analysis of calthrin-mediated endocytosis

This dataset is for sharing all of the raw images analyzed in the paper, “<b><i>DASC, a sensitive classifier for measuring discrete early stages in clathrin-mediated endocytosis</i></b>”, https://doi.org/10.7554/eLife.53686. In the paper, we proposed a new method that can unbiasedly classify two populations of clathrin structures during endocytosis, clathrin coated pits and abortive coats. Based on this new classification, we measured phenotypes of siRNA knockdown of 11 endocytic accessory protein (EAP), analyzed clathrin-AP2 dual channel images and measured curvature formation during endocytosis.<br><br>Images in all four experiments are included in this data set, ‘EAP knockdown’, ‘alphaPIP2-’ as a positive control experiment, ‘CLC_AP2_dual’ as another control experiment, and ‘EpiTIRF’ for curvature measurement. Each experiment has various conditions, see the metadata file for details.<br><br>Readers can follow this README to obtain the entire data and then apply DASC, one experiment by one experiment, to reproduce the results in the associated paper. The software of DASC is available on GitHub: https://github.com/DanuserLab/cmeAnalysis. See the instruction on the GitHub page for how to use DASC to analyze the images.<br><br>Files in this data are compressed. Each ‘.tif.bz’ file is a compressed tif image sequence of fluorescently labeled cells. The names of these compressed files include descriptive information of ‘experiment’, ‘condition’, ‘date’, ‘cell name’ and ‘channel name’ (optional). These descriptors are separated by ‘#’.<br><br>The compressed files can be automatically decompressed by running the Matlab script ('Decompression.m') in a Linux system.

该数据集用于共享论文《DASC，一种用于测量网格蛋白介导的内吞作用（clathrin-mediated endocytosis）中离散早期阶段的灵敏分类器》（https://doi.org/10.7554/eLife.53686）中分析的所有原始图像。在论文中，我们提出了一种新方法，可对胞吞过程中的两类网格蛋白结构——网格蛋白包被小窝（clathrin coated pits）和流产型包被（abortive coats）进行无偏分类。基于这一新分类，我们测定了11种内吞辅助蛋白（EAP，endocytic accessory protein）的siRNA敲低表型，分析了网格蛋白-AP2双通道图像，并测量了胞吞过程中的曲率形成。数据集包含四个实验的图像：‘EAP敲低’、作为阳性对照实验的‘alphaPIP2-’、作为另一对照实验的‘CLC_AP2_dual’，以及用于曲率测量的‘EpiTIRF’。每个实验包含多种条件，详情请参见元数据文件。读者可按照本README获取完整数据，并逐个实验应用DASC以重现相关论文中的结果。DASC软件可在GitHub获取：https://github.com/DanuserLab/cmeAnalysis。使用DASC分析图像的方法请参见GitHub页面上的说明。数据集中的文件均已压缩，每个‘.tif.bz’文件是荧光标记细胞的压缩tif图像序列。这些压缩文件的名称包含‘实验’、‘条件’、‘日期’、‘细胞名称’和（可选的）‘通道名称’等描述性信息，各描述符之间用‘#’分隔。