How does a subset of expressed genes dictate cellular phenotype – the visible properties of cells? Finding the answer to this question is a considerable challenge for scientists due to the large number of molecules involved, their combinatorics and the abundance of cellular behaviors that determine this phenotype. Scientists at the Allen Institute for Cell Science have recently succeeded in developing a framework for the analysis of integrated intracellular organization and its variations in human iPS cells, based on datasets of 200,000 living cells in 3D and a set of 25 key structures.
A framework is a basic software scaffold that developers can use to build computer applications. The framework developed at the Allen Institute for Cell Science allows for programming analysis software that converts raw image data of iPS cells and their structures into dimensionally reduced, quantitative analyses.
How the framework will exactly advance stem cell analysis is the topic of Dr. Susanne Rafelski's presentation, "Integrated intracellular organization and its variations in human iPS cells," at ISAS on February 7.
Tuesday, February 7
Meeting ID: 2730 175 0712
Rafelski is deputy director of scientific programmes at the Seattle institute – and corresponding author of the Nature publication. ISAS has a cooperation with the Allen Institute for Cell Science. The AMBIOM working group led by Jianxu Chen is in charge here. The 34-year-old worked at the Allen Institute for Cell Science for four years before joining ISAS.