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, “DASC, a sensitive
classifier for measuring discrete early stages in clathrin-mediated endocytosis”,
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.
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.
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.
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 ‘#’.
The compressed files can be automatically decompressed by running the Matlab script ('Decompression.m') in a Linux system.
Funding
Mechanisms of Regulation of Clathrin-mediated Endocytosis
National Institute of General Medical Sciences
Find out more...3D Quantitative Fluorescent Speckle Microscopy
National Institute of General Medical Sciences
Find out more...Welch grant I-1823
History
Select an IC:
- GM - National Institute of General Medical Sciences (NIGMS)
- MH - National Institute of Mental Health (NIMH)
Is this associated with a publication?
- Yes
DOI(s) of associated publication(s):
I confirm there is no human identifiable information in this dataset.
- Yes