Ontology highlight
ABSTRACT:
SUBMITTER: Ketteler R
PROVIDER: S-EPMC5332014 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature
Ketteler Robin R Freeman Jamie J Ferraro Francesco F Bata Nicole N Cutler Dan F DF Kriston-Vizi Janos J Stevenson Nicola N
Scientific data 20170301
High-content screening of kinase inhibitors is important in order to identify biogenesis and function mechanisms of subcellular organelles. Here, we present a human kinome siRNA high-content screen on primary human umbilical vein endothelial cells, that were transfected by electroporation. The data descriptor contains a confocal fluorescence, microscopic image dataset. We also describe an open source, automated image analysis workflow that can be reused to perform high-content analysis of other ...[more]