BPCPPDYSOE21 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 1: Cell Mechanics I
BP 1.4: Vortrag
Montag, 22. März 2021, 10:10–10:30, BPa
Elucidating cell mechanics regulators from mechano-transcriptomic data using discriminative network analysis — •Marta Urbanska1,2, Yan Ge1, Maria Winzi1, Shada Abuhattum1,2, Maik Herbig1,2, Martin Kräter1,2, Nicole Töpfner1, Anna Taubenberger1, Carlo V. Cannistraci1, and Jochen Guck1,2 — 1BIOTEC, TU Dresden, Dresden, Germany — 2Max Planck Institute for the Science of Light, Erlangen, Germany
Mechanical properties of cells determine their capability to perform many physiological functions, such as migration, differentiation or circulation through vasculature. Identifying molecular factors that govern the mechanical phenotype is therefore a subject of great interest. Here we present an approach that enables establishing links between mechanical phenotype changes and the genes responsible for driving them. In particular, we employ a discriminative network analysis method termed PC-corr to associate cell mechanical states, measured by real- time deformability cytometry, with large-scale transcriptomic datasets across different biological systems. We obtain a conserved module of five target genes and validate their capacity to discriminate between soft and stiff cell states in silico, obtaining AUC-ROC values of 72-94%. We then show experimentally that the top scoring gene, CAV1, changes the mechanical phenotype of cells when silenced or overexpressed. The data-driven approach presented here has the power of de novo identification of genes involved in cell mechanics, thereby extending the toolbox for tuning the mechanical properties of cells on demand to enable biological function or prevent pathologies.