CellViewer

CellViewer

Super-resolution systems microscopy to assess pluripotency and differentiation of stem cells at single cell level

Principal Investigator/s: 
Coordinator
Partner
Partner

CellViewer aims to develop new technologies that will allow us to visualise single live cells at the DNA, mRNA and proteins levels. With these novel technologies, collectively referred as the CellViewer, we will study the mechanism of mouse embryonic stem cell (mESC) self-renewal and differentiation upon application of specific stimuli.

In concrete, CellViewer will develop a unique cutting-edge high-throughput super-resolution (SR) microscopy approach (including new hardware and software development) to collect at high-resolution a large amount of spatial and dynamic information in single cells. CellViewer technologies will allow us to study the mechanisms of mouse embryonic stem cell (mESC) self-renewal and differentiation upon application of specific stimuli, as a specific test case. We will analyse in single cells with high throughput, DNA remodelling at multiple specific gene loci and their corresponding production, distribution and kinetics of mRNA and protein products. We will collect a large amount of dynamic and nanoscale spatial information that will lead us to build predictive models of the phenotypic output from specific input stimuli. In turn, we will be able to develop a mechanistic understanding of how mESCs maintain their stemness or commit to differentiation. The partners of CellViewer are internationally recognized experts from academia and industry in the fields of stem cell and chromatin biology, super-resolution microscopy, quantitative
modelling of biological systems, and hardware and software development. This team as a whole is uniquely suited to bring Systems Biology into the era of single cell analysis, which will be a paradigm shift in the way cellular systems will be studied.

01/02/2016 31/01/2020
Call: 
Future and Emerging Technologies (FET Open)
Total budget: 
€3,988,752
CRG budget: 
€1,197,315
Funded by: