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Mason, A. F.

Publications and source records attributed to Mason, A. F..

2 recordsLinked to original sources

Lipid-Coated Water-in-Oil Droplets as a Passivation-Free Platform for Cost-Effective Fluorescence Spectroscopy

Fluorescence correlation spectroscopy (FCS) provides valuable information about molecular dynamics, however, experimental setup typically requires labour-intensive passivation to prevent non-specific binding of molecules to sample containers. Furthermore, precious samples can be wasted by having to use relatively high sample volumes in existing sample containers. We overcome these major issues using a simple method of sample encapsulation into water-in-oil droplets, using purified proteins and cell lysates as proof-of-concept. FCS of fluorescently labelled protein samples in the nanomolar (nM) range confirmed that water-in-oil droplets yield more accurate measurements than conventional open-chamber methods. We first optimized the droplet composition to prevent protein coating at the water-oil interface using pegylated-lipids. We then utilized FCS to accurately measure protein concentrations and diffusion speeds in nanolitre volumes. Additionally, we used fluorescence cross-correlation spectroscopy (FCCS) to measure enzymatic cleavage of substrate inside our droplet system, demonstrating the capacity of this platform to measure biological processes at the nanoscale. Overall, conducting FCS in droplets offers a cost-effective, robust, and accessible alternative for measuring molecular dynamics, with promising potential for high-throughput and resource-limited applications. TOC Image + Text O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=37 SRC="FIGDIR/small/734730v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@199c622org.highwire.dtl.DTLVardef@9f195eorg.highwire.dtl.DTLVardef@13a8969org.highwire.dtl.DTLVardef@138692_HPS_FORMAT_FIGEXP M_FIG C_FIG Conventional single-molecule fluorescence requires slow, expensive glass passivation procedures to prevent proteins adsorbing to surfaces. By encapsulating proteins in lipid-coated nanolitre water droplets, the passivation requirement is removed, enabling accurate measurement of protein dynamics in low nanolitre volumes. Water-in-oil droplets thus provide a passivation-free platform for fluorescence correlation spectroscopy.

biochemistry↗

DIB-BOT: An open-source hardware approach for high throughput droplet interface bilayer deposition

Droplet interface bilayers (DIBs) provide a controlled lipid environment for the single-molecule investigation of a range of biologically relevant membrane-bound processes and have garnered attention for their potential applications in bottom-up artificial cells, biosensing, and biophysics. However, the fabrication of DIBs is currently hindered by time-consuming processes and specialized equipment. These fabrication limitations prevent the scale-up of DIB assays, making it difficult to generate the large data sets required to achieve statistically significant conclusions in single-molecule biological assays where heterogeneous behaviour is often observed. This research describes an open-source solution, dubbed "DIB-BOT," constructed by coupling a nanoinjector with an entry-level 3D printer. We present DIB-BOT as a platform to achieve rapid, reproducible, and reliable fabrication of large numbers of DIBs, addressing the limitations of manual methods. Leveraging commercially available off-the-shelf components, DIB-BOT exhibits high spatial reproducibility, minimal user input, and the ability to scale experiments rapidly. Here we demonstrate the utility of the system by integrating pairwise droplet assembly with a fluorescence plate-reader to execute a biologically relevant assay. When compared with manual DIB fabrication, the DIB-BOT had a tenfold reduction in droplet volume error, a threefold reduction in positional error, and 100% droplet yield. Overall, this method has potential to reduce entry barriers to the use of DIB methods, broadening the applications of DIB research, and generating higher quality data sets.

synthetic biology↗