In:
Scientific Data, Springer Science and Business Media LLC, Vol. 4, No. 1 ( 2017-03-01)
Kurzfassung:
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 organelles. This dataset is suitable for analysis of morphological parameters that are linked to human umbilical vein endothelial cell (HUVEC) biology.
Materialart:
Online-Ressource
ISSN:
2052-4463
DOI:
10.1038/sdata.2017.22
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2017
ZDB Id:
2775191-0
