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Mencattini, A.

Publications and source records attributed to Mencattini, A..

2 recordsLinked to original sources

Engineering a microfluidic-assisted 3D bioprinting approach for the hierarchical control deposition and compartmentalisation of graded bioinks

The advent of 3D bioprinting has revolutionised tissue engineering and regenerative medicine (TERM). Today, tissues of single cell type can be printed with extreme resolution and printing fidelity. However, the ultimate functionality of the desired tissue is limited, due to the absence of a multicellular population and diversity in micro-environment distribution. Currently, 3D bioprinting technologies are facing challenges in delivering multiple cells and biomaterials in a controlled fashion. The use of interchangeable syringe-based systems has often favoured the delamination between interfaces, greatly limiting the fabrication of interconnected tissue constructs. Microfluidic-assisted 3D bioprinting platforms have been found capable of rescuing the fabrication of tissue interfaces, but often fails to guarantee printing fidelity, cell density control and compatimentalisation. Herein, we present the convergence of microfluidic and 3D bioprinting platforms into a new deposition system capable of harnessing a microfluidic printhead for the continuous rapid fabrication of interconnected functional tissues. The use of flow-focusing and passive mixer printhead modules allowed for the rapid and dynamic modulation of fibre diameter and material composition, respectively. Cells were compartmentalised into discrete three-dimensional layers with defined density patterns, confirming the punctual control of the presented microfluidic platform in arranging cells and materials in 3D. In ovo and in vivo studies demonstrated the functionality of 3D bioprinted constructs with patterned vascular endothelial growth factor (VEGF) and transforming growth factor-{beta}1 (TGF-{beta}1), respectively. This, in turn, facilitated the simulation of diverse cellular environments and proliferation pathways within a single construct, which is currently unachievable with conventional 3D bioprinting techniques, offering new opportunities for the fabrication of functionally graded materials and physiologically-relevant skeletal tissue substitutes.

bioengineering↗

CausalXtract: a flexible pipeline to extract causal effects from live-cell time-lapse imaging data

Live-cell microscopy routinely provides massive amount of time-lapse images of complex cellular systems under various physiological or therapeutic conditions. However, this wealth of data remains difficult to interpret in terms of causal effects. Here, we describe CausalXtract, a flexible computational pipeline that discovers causal and possibly time-lagged effects from morphodynamic features and cell-cell interactions in live-cell imaging data. CausalXtract methodology combines network-based and information-based frameworks, which is shown to discover causal effects overlooked by classical Granger and Schreiber causality approaches. We showcase the use of CausalXtract to uncover novel causal effects in a tumor-on-chip cellular ecosystem under therapeutically relevant conditions. In particular, we find that cancer associated fibroblasts directly inhibit cancer cell apoptosis, independently from anti-cancer treatment. CausalXtract uncovers also multiple antagonistic effects at different time delays. Hence, CausalXtract provides a unique computational tool to interpret live-cell imaging data for a range of fundamental and translational research applications.

systems biology↗