Research Fellow in Biomaterial Mechanobiology,
Dr Yusuf Hakan Usta is a Research Fellow in Biomaterial Mechanobiology in Dr Robert Owen's group at the School of Pharmacy. He completed his PhD at the University of Manchester, where he studied how human bone marrow mesenchymal stromal cells respond to extracellular matrix stiffness and pH using hydrogels, imaging, proteomics and metabolomics.
Cell mechanobiology, mesenchymal stromal cell culture on tunable biomaterials, quantitative imaging, proteomics, phosphoproteomics, metabolomics, spatial and single-cell transcriptomics, multi-omics integration and machine learning.
Yusuf is interested in teaching bioinformatics, programming for life scientists, omics data analysis and machine learning in biology. At the University of Manchester he taught on undergraduate and… read more
Yusuf studies how the geometry and curvature of biomaterial surfaces guide the behaviour of mesenchymal stromal cells and fibroblasts. Using the group's curvature screening platform, he combines in… read more
Yusuf is interested in teaching bioinformatics, programming for life scientists, omics data analysis and machine learning in biology. At the University of Manchester he taught on undergraduate and postgraduate modules in computational biology, NGS and omics, and health data science, and co-supervised MSc and BSc research projects.
Yusuf studies how the geometry and curvature of biomaterial surfaces guide the behaviour of mesenchymal stromal cells and fibroblasts. Using the group's curvature screening platform, he combines in vitro culture and imaging with transcriptomic and metabolomic profiling to find out how each cell type senses and responds to shape.
During his PhD at the University of Manchester, Yusuf showed that extracellular pH changes how human bone marrow mesenchymal stromal cells respond to matrix stiffness, using hydrogels, imaging, proteomics and metabolomics. He has also worked on deep-learning models of glioblastoma prognosis at the University of Manchester.
He aims to link physical cues from biomaterials, such as geometry, stiffness and pH, to changes in cell metabolism and gene regulation. He plans to integrate imaging with multi-omics data and machine learning to predict cell responses and support the design of biomaterials for bone repair.
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