Biomimetic Soft Matter and DNA Nanotechnology
Group website: www.dimichelelab.org
Lorenzo Di Michele's group studies the fascinating physics, chemistry, and (occasionally) biology of complex nanoscale systems.
We investigate problems of fundamental relevance as well as develop new technologies and, to do so, we often make use of the tools of DNA nanotechnology.
We like to adopt a multidisciplinary approach, that combines experimental methods, theoretical modelling, and computer simulations.
Current areas of research include
- Self assembly and crystallisation of amphiphilic DNA nanostructures, with applications to encapsulation/release/delivery technologies.
- Multivalent membrane-membrane and membrane particles interactions, including synthetic lipid membranes and cells.
- Artificial cells and bottom-up synthetic biology.
- Applications of DNA nanotech to super-resolution optical microscopy (DNA-PAINT).
Lorenzo's brief CV
Lorenzo completed his undergraduate and master degree at the University of L'Aquila (Abruzzo, Italy), before moving to the Cavendish Laboratory, University of Cambridge where he complete his PhD in physics (2013). He then held, in the same institution, a Oppenheimer Early Career Research Fellowship (2013-2016), a Leverhulme Early Career Research Fellowship (2016-2017) and a Royal Society University Research Fellowship (2018 - ). In August 2019 Lorenzo joined the Department of Chemistry at Imperial as a RS URF and Lecturer.
Full CV here
et al., 2021, A Modular, Dynamic, DNA-Based Platform for Regulating Cargo Distribution and Transport between Lipid Domains., Nano Lett, Vol:21, Pages:2800-2808
et al., 2021, A modular, dynamic, DNA-based platform for regulating cargo distribution and transport between lipid domains, Nano Letters, ISSN:1530-6984
et al., 2021, Repeat DNA-PAINT suppresses background and non-specific signals in optical nanoscopy, Nature Communications, Vol:12, ISSN:2041-1723
et al., 2020, Adaptable DNA interactions regulate surface triggered self assembly, Nanoscale, Vol:12, ISSN:2040-3364, Pages:18616-18620
et al., 2020, Detecting nanoscale distribution of protein pairs by proximity dependent super-resolution microscopy, Journal of the American Chemical Society, Vol:142, ISSN:0002-7863, Pages:12069-12078