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FINAL Draft Feb 23 Predicting pancreas cell fate decisions and reprogramming with a
 

Summary: FINAL Draft Feb 23
Predicting pancreas cell fate decisions and reprogramming with a
hierarchical multi-attractor model
Joseph Zhou1
, Lutz Brusch1
, Sui Huang2
1
The department of innovative methods of computing, ZIH, Technische University
Dresden, Dresden, Germany
2
Institute of Biocomplexity and informatics, University of Calgary, Calgary, Canada
Abstract
Cell fate reprogramming, such as the generation of insulin-producing cells from
other pancreas cells can be achieved by external modulation of key transcription
factors. However, the known gene regulatory interactions which form a complex
network with multiple feedback loops makes it increasingly difficult to view
regulatory pathways as schemes of causal influences that serve as basis for
predicting the effect of transcriptional perturbation. On the other hand, not
sufficient information on regulatory networks is available for detailed formal
models. Here we demonstrate that by using the qualitatively described regulatory

  

Source: Ahlers, Guenter - Department of Physics, University of California at Santa Barbara

 

Collections: Physics