The Encapsulation of Cell-free Transcription and Translation Machinery in Vesicles for the Construction of Cellular Mimics
Overview
Authors
Affiliations
As interest shifts from individual molecules to systems of molecules, an increasing number of laboratories have sought to build from the bottom up cellular mimics that better represent the complexity of cellular life. To date there are a number of paths that could be taken to build compartmentalized cellular mimics, including the exploitation of water-in-oil emulsions, microfluidic devices, and vesicles. Each of the available options has specific advantages and disadvantages. For example, water-in-oil emulsions give high encapsulation efficiency but do not mimic well the permeability barrier of living cells. The primary advantage of the methods described herein is that they are all easy and cheap to implement. Transcription-translation machinery is encapsulated inside of phospholipid vesicles through a process that exploits common instrumentation, such as a centrifugal evaporator and an extruder. Reactions are monitored by fluorescence spectroscopy. The protocols can be adapted for recombinant protein expression, the construction of cellular mimics, the exploration of the minimum requirements for cellular life, or the assembly of genetic circuitry.
Wang X, Liisberg M, Nolt G, Fu X, Cerretani C, Li L ACS Nano. 2023; 17(13):12862-12874.
PMID: 37341451 PMC: 11065323. DOI: 10.1021/acsnano.3c04489.
Tabuchi T, Yokobayashi Y RSC Chem Biol. 2021; 2(5):1430-1440.
PMID: 34704047 PMC: 8496063. DOI: 10.1039/d1cb00138h.
Artificial cells drive neural differentiation.
Toparlak O, Zasso J, Bridi S, Serra M, Macchi P, Conti L Sci Adv. 2020; 6(38).
PMID: 32948587 PMC: 7500934. DOI: 10.1126/sciadv.abb4920.
Gene-Expressing Liposomes as Synthetic Cells for Molecular Communication Studies.
Rampioni G, DAngelo F, Leoni L, Stano P Front Bioeng Biotechnol. 2019; 7:1.
PMID: 30705882 PMC: 6344414. DOI: 10.3389/fbioe.2019.00001.
Galkin M, Russell A, Vik S, Berry R, Ishmukhametov R J Vis Exp. 2018; (134).
PMID: 29683454 PMC: 5933413. DOI: 10.3791/56909.