biostudies-literatureVasilevich ASEuropean Union’s Seventh Framework ProgrammeVENI grantProvince of Limburg18988https://www.ebi.ac.uk/biostudies/studies/S-EPMC7642380biostudies-literatureUnknown10(1)Learning rules by which cell shape impacts cell function would enable control of cell physiology and fate in medical applications, particularly, on the interface of cells and material of the implants. We defined the phenotypic response of human bone marrow-derived mesenchymal stem cells (hMSCs) to 2176 randomly generated surface topographies by probing basic functions such as migration, proliferation, protein synthesis, apoptosis, and differentiation using quantitative image analysis. Clustering the surfaces into 28 archetypical cell shapes, we found a very strict correlation between cell shape and physiological response and selected seven cell shapes to describe the molecular mechanism leading to phenotypic diversity. Transcriptomics analysis revealed a tight link between cell shape, moleScientific reportsOn the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cells.PMC764238028972015057Reihs Rde Boer JVermeulen SCarpenter AERoumans NHebels DGAJVasilevich ASBeijer NRMKamphuis MEroume SCarlier ASingh Svan de Peppel JfalseOn the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cells.Learning rules by which cell shape impacts cell function would enable control of cell physiology and fate in medical applications, particularly, on the interface of cells and material of the implants. We defined the phenotypic response of human bone marrow-derived mesenchymal stem cells (hMSCs) to 2176 randomly generated surface topographies by probing basic functions such as migration, proliferation, protein synthesis, apoptosis, and differentiation using quantitative image analysis. Clustering the surfaces into 28 archetypical cell shapes, we found a very strict correlation between cell shape and physiological response and selected seven cell shapes to describe the molecular mechanism leading to phenotypic diversity. Transcriptomics analysis revealed a tight link between cell shape, mole2020-01-01T00:00:00Z2020 Nov2025-04-04T10:25:24.392Z2020-11-09T08:47:39ZS-EPMC76423803314920010.1038/s41598-020-76019-z