Milara S Kalacheva, Nuno R da Silva, Arnold J Boersma
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Liposome-Encapsulated Escherichia coli Lysates to Reconstitute Intracellular Macromolecular Crowding Effects.
Intracellular macromolecular crowding impacts biomacromolecule behavior, including oligomerization, phase separation, and diffusion. However, understanding crowding effects in cells is challenging as cells respond and adapt to perturbations. Therefore, replicating in-cell crowding in liposomes would provide a good alternative to studying the consequences of macromolecular crowding. Here, we achieve physiological macromolecular crowding levels using Escherichia coli lysates in liposomes, as verified with a macromolecular crowding sensor. We shrink liposomes with a gradient-wise osmotic upshift to reach the high macromolecular crowding effects. We see that lysate induces higher macromolecular crowding than BSA at the same mg/mL, showing the need to use lysates to replicate in-cell behavior. We study the consequences of small cosolutes on macromolecular crowding and see that sugars and ATP modulate the lysate macromolecular crowding, implying they would also affect macromolecular crowding in cells. These artificial cells display the same crowding as E. coli at 220-300 mg/mL lysate and the same crowding as HEK293T at 50-100 mg/mL lysate. Hence, these artificial cells are a platform for obtaining information on physiologically relevant macromolecular crowding effects in a controlled environment.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.