Non Animal Testing Database

Framework for human stem cell organisation and variation

Allen Institute for Cell Science, Seattle, USA
Understanding how a subset of expressed genes dictates cellular phenotype is a considerable challenge owing to the large numbers of molecules involved, their combinatorics and the plethora of cellular behaviours that they determine. Here, the researchers reduced this complexity by focusing on cellular organization—a key readout and driver of cell behaviour—at the level of major cellular structures that represent distinct organelles and functional machines. They generated the WTC-11 hiPSC Single-Cell Image Dataset v1, which contains more than 200,000 live cells in 3D, spanning 25 key cellular structures. The scale and quality of this dataset permitted the creation of a generalizable analysis framework to convert raw image data of cells and their structures into dimensionally reduced, quantitative measurements that can be interpreted by humans, and to facilitate data exploration. This framework embraces the vast cell-to-cell variability that is observed within a normal population, facilitates the integration of cell-by-cell structural data and allows quantitative analyses of distinct, separable aspects of organization within and across different cell populations.
Integrated intracellular organization and its variations in human iPS cells
Susanne M. Rafelski
Added on: 06-05-2023
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