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University of Cambridge

Engineering Internal and External Molecular Pathways in Artificial Cells

Abstract

dc:description.abstract

Bottom-up synthetic biology aims to engineer artificial systems exhibiting biomimetic struc- ture and functionality from the rational combination of molecular and nanoscale elements. These systems often take the form of artificial cells: micron-scale, cell-like constructs that display advanced behaviours such as communication, synthesis, storage of molecules, adap- tation and motion. Artificial cells require micro-compartmentalised architectures to host and maintain separation between the various signal-processing and functional elements underpin- ning their responses. Compartmentalisation can be achieved with different solutions, most of which rely on semi-permeable membranes. However, membrane-less implementations based on hydrogels, biomolecular condensates, or coacervates are gaining traction due to their advantages in terms of design versatility and robustness. DNA nanotechnology applies our understanding of the properties of nucleic acids to program assembly and disassembly of molecular and nanoscale complexes. This has led to the creation of intricate constructs with programmable structure and kinetic response. These advantages, along with sensitivity to environmental stimuli, aptameric targeting, and ease of chemical functionalisation, have made DNA nanosystems widely used in bottom-up synthetic biology. Among the many classes of DNA-based building blocks, branched DNA motifs have been shown to aggregate into hydrogels and crystal phases. Among possible implementations, cholesterol-modified DNA junctions have been shown to robustly self-assemble into cell-size condensates with programmable features, including pores size, chemical functionality and integration of responsive molecular circuitry. These properties make amphiphilic DNA condensates promising as scaffolds for artificial cells. In this thesis I introduce a platform for engineering artificial cells reliant on self-assembled amphiphilic DNA condensates, specifically tackling two key challenges: the establishment of internal compartmentalisation and the design of inter-cell communication pathways. To engineer internal architecture, I rely on controllable reaction-diffusion processes. I show that these can generate chemically addressable domains within the condensates, with control- lable number, shape and molecular makeup. The patterning processes can be rationalised and guided by numerical modelling. As a proof-of-concept, I apply this technique to construct a prototypical artificial cell displaying spatial separation of functionality, namely, a nucleus capable of synthesising RNA and a cytoplasm-like storage domain which can accumulate it. As a means of establishing self-sustaining long-range communication between two pop- ulations of condensates, I took steps towards the design of molecular circuits capable of non-enzymatic signal amplification. Overall, my work showcases the potential of DNA condensates as a platform for bottom-up synthetic biology, which can unlock the design of biomimetic systems with ever increasingly advanced functionalities.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Leathers, Adrian
Advisors dc:contributor.advisor
  • Cicuta, Pietro
  • Di Michele, Lorenzo

Subjects

dc:subject × 5

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
Author Identifier
0000-0003-0226-0781
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/349424

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Leathers, Adrian. Engineering Internal and External Molecular Pathways in Artificial Cells. Doctoral thesis, University of Cambridge, 2022. https://doi.org/10.17863/CAM.96519