Autor: |
Ketteler, Robin, Freeman, Jamie, Stevenson, Nicola, Ferraro, Francesco, Bata, Nicole, Cutler, Dan F., Kriston-Vizi, Janos |
Jazyk: |
angličtina |
Rok vydání: |
2017 |
Předmět: |
|
Zdroj: |
Scientific Data. 4 |
ISSN: |
2052-4463 |
DOI: |
10.1038/sdata.2017.22 |
Popis: |
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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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