Apr 25, 2019
Intestinal organoid development mimics regeneration
May 26, 2018
An organoid approach in fighting disease: TED talk by Prisca Liberali
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|Logic of life|
Design principles of tissue organization
Understanding the collective properties of multicellular systems and their patterns, including how such properties arise from single-cell behavior and their self-organization, is essential in order to elucidate fundamental biological processes, such as cell reprogramming and disease.
In these systems, the roles and the molecular mechanisms of cell-to-cell variability in highly regulated cellular activities, like signal transduction, membrane trafficking and cytoskeleton dynamics have been poorly characterized.
Our laboratory develops and applies experimental and theoretical frameworks for the study of cellular heterogeneity during collective cell behavior. We use high-content genetic perturbation screens with single-cell resolution combined with advanced quantitative imaging and single-cell modeling of stem cells in 2D culture and 3D self-organizing systems. One of these systems is the development of 3D intestinal organoids from single stem cells.
This systems biology approach is used to unravel the determinants of pattern formation and to achieve a comprehensive understanding of the sources of cell-to-cell variability, and how this cell-to-cell variability affects the in vivo multicellular programming of cells.
This is a list of selected publications from this group. For a full list of publications, please visit our Publications page and search by group name.
Xavier da Silveira Dos Santos A, Liberali P (2018) From single cells to tissue self-organizationFEBS J. 2018 Nov 3. doi: 10.1111/febs.14694
Gut G, Tadmor MD, Pe'er D, Pelkmans L, Liberali P. (2015) Trajectories of cell-cycle progression from fixed cell populationsNat Methods. doi: 10.1038/nmeth.3545. [Epub ahead of print]
Liberali P, Snijder B, Pelkmans L (2015) Single-cell and multivariate approaches in genetic perturbation screensNat Rev Genet, 16:18-32
Liberali P*, Snijder B, Pelkmans L* (2014) A hierarchical map of regulatory genetic interactions in membrane traffickingCell, 157:1473-87
Snijder B, Liberali P, Frechin M, Stoeger T, Pelkmans L (2013) Predicting functional gene interactions with the hierarchical interaction scoreNat Methods, 10:1089-92
Liberali P, Pelkmans L (2012) Towards quantitative cell biologyNat Cell Biol, 14:1233
Snijder B, Sacher R, Rämö P, Damm EM, Liberali P, Pelkmans L (2009) Population context determines cell-to-cell variability in endocytosis and virus infectionNature, 461:520-3
Liberali P, Rämö P, Pelkmans L (2008) Protein kinases: starting a molecular systems view of endocytosisAnnu Rev Cell Dev Biol, 24:501-23
Liberali P, Kakkonen E, Turacchio G, Valente C, Spaar A, Perinetti G, Böckmann RA, Corda D, Colanzi A, Marjomaki V, Luini A (2008) The closure of Pak1-dependent macropinosomes requires the phosphorylation of CtBP1/BARSEMBO J, 27:970-81
Full list of publications
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