1. Cell Biology
  2. Computational and Systems Biology

Quantitative live-cell imaging and computational modelling shed new light on endogenous WNT/CTNNB1 signaling dynamics

  1. Saskia M A de Man
  2. Gooitzen Zwanenburg  Is a corresponding author
  3. Tanne van der Wal
  4. Mark Hink  Is a corresponding author
  5. Renee van Amerongen  Is a corresponding author
  1. Swammerdam Institute for Life Sciences, University of Amsterdam, Netherlands
  2. Universiteit van Amsterdam, Netherlands
https://doi.org/10.7554/eLife.66440
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  1. Saskia M A de Man
  2. Gooitzen Zwanenburg
  3. Tanne van der Wal
  4. Mark Hink
  5. Renee van Amerongen
(2021)
Quantitative live-cell imaging and computational modelling shed new light on endogenous WNT/CTNNB1 signaling dynamics
eLife 10:e66440.
https://doi.org/10.7554/eLife.66440
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  1. Saskia M A de Man
  2. Gooitzen Zwanenburg
  3. Tanne van der Wal
  4. Mark Hink
  5. Renee van Amerongen
(2021)
Quantitative live-cell imaging and computational modelling shed new light on endogenous WNT/CTNNB1 signaling dynamics
eLife 10:e66440.
https://doi.org/10.7554/eLife.66440

Share this article

https://doi.org/10.7554/eLife.66440