Biology subjects

McBride, R.

Publications and source records attributed to McBride, R..

4 recordsLinked to original sources

bioRxiv2023

Rapid assessment of changes in phage bioactivity using dynamic light scattering

Extensive efforts are underway to develop bacteriophages as therapies against antibiotic-resistant bacteria. However, these efforts are confounded by the instability of phage preparations and a lack of suitable tools to assess active phage concentrations over time. Here, we use Dynamic Light Scattering (DLS) to measure changes in phage physical state in response to environmental factors and time, finding that phages tend to decay and form aggregates and that the degree of aggregation can be used to predict phage bioactivity. We then use DLS to optimize phage storage conditions for phages from human clinical trials, predict bioactivity in 50-year-old archival stocks, and evaluate phage samples for use in a phage therapy/wound infection model. We also provide a web-application (Phage-ELF) to facilitate DLS studies of phages. We conclude that DLS provides a rapid, convenient, and non-destructive tool for quality control of phage preparations in academic and commercial settings. Significance StatementPhages are promising for use in treating antibiotic-resistant infections, but their decay over time in refrigerated storage and higher temperatures has been a difficult barrier to overcome. This is in part because there are no suitable methods to monitor phage activity over time, especially in clinical settings. Here, we show that Dynamic Light Scattering (DLS) can be used to measure the physical state of phage preparations, which provides accurate and precise information on their lytic function - the key parameter underlying clinical efficacy. This study reveals a "structure-function" relationship for lytic phages and establishes DLS as a method to optimize the storage, handling, and clinical use of phages.

biophysics↗

bioRxiv2023

Engineered display of ganglioside-sugars on protein elicits a clonally and structurally constrained B cell response

Ganglioside sugars, as Tumour-Associated Carbohydrate Antigens (TACAs), are long-proposed targets for vaccination and therapeutic antibody production, but their self-like character imparts immunorecessive characteristics that classical vaccination approaches have to date failed to overcome. One prominent TACA, the glycan component of ganglioside GM3 (GM3g), is over-expressed on diverse tumours. To probe the limits of glycan tolerance, we used protein editing methods to display GM3g in systematically varied non-native presentation modes by attachment to carrier protein lysine sidechains using diverse chemical linkers. We report here that such presentation creates glycoconjugates that are strongly immunogenic in mice and elicit robust antigen-specific IgG responses specific to GM3g. Characterisation of this response by antigen-specific B cell cloning and phylogenetic and functional analyses suggests that such display enables the engagement of a highly restricted naive B cell class with a defined germline configuration dominated by members of the IGHV2 subgroup. Strikingly, structural analysis reveals that glycan features appear to be recognised primarily by antibody CDRH1/2, and despite the presence of an antigen-specific Th response and B cell somatic hypermutation, we found no evidence of affinity maturation towards the antigen. Together these findings suggest a reach-through model in which glycans, when displayed in non-self formats of sufficient distance from a conjugate backbone, may engage glycan ready V-region motifs encoded in the germline. Structural constraints define why, despite engaging the trisaccharide, antibodies do not bind natively-presented glycans, such as when linked to lipid GM3. Our findings provide an explanation for the long-standing difficulties in raising antibodies reactive with native TACAs, and provide a possible template for rational vaccine design against this and other TACA antigens. HighlightsO_LIGM3g synthetically coupled via a longer, orthogonal (from backbone) glycoconjugate (LOG) presentation format (thioethyl-lysyl-amidine) display elicits high-titre IgG responses in mice. C_LIO_LIThe germinal centre experience of LOG glycoconjugate-specific B cell responses is directly influenced by the protein backbone. C_LIO_LIStructural characterisation of the antibody response to LOGs reveals highly restricted germline-encoded glycan-engaging motifs that mediate GM3g recognition. C_LIO_LIFailure of antibodies to bind the native trisaccharide highlights barriers to be overcome for the rational design of anti-TACA antibodies. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=172 SRC="FIGDIR/small/543556v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@b2111org.highwire.dtl.DTLVardef@a81b88org.highwire.dtl.DTLVardef@a78c6aorg.highwire.dtl.DTLVardef@1f3b4b9_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2023

TopNEXt: Automatic DDA Exclusion Framework for Multi-Sample Mass Spectrometry Experiments

MotivationLiquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) experiments aim to produce high quality fragmentation spectra which can be used to identify metabolites. However, current Data-Dependent Acquisition (DDA) approaches may fail to collect spectra of sufficient quality and quantity for experimental outcomes, and extend poorly across multiple samples by failing to share information across samples or by requiring manual expert input. ResultsWe present TopNEXt, a real-time scan prioritisation framework that improves data acquisition in multi-sample LC-MS/MS metabolomics experiments. TopNEXt extends traditional DDA exclusion methods across multiple samples by using a Region of Interest (RoI) and intensity-based scoring system. Through both simulated and lab experiments we show that methods incorporating these novel concepts acquire fragmentation spectra for an additional 10% of our set of target peaks and with an additional 20% of acquisition intensity. By increasing the quality and quantity of fragmentation spectra, TopNEXt can help improve metabolite identification with a potential impact across a variety of experimental contexts. AvailabilityTopNEXt is implemented as part of the ViMMS framework and the latest version can be found at https://github.com/glasgowcompbio/vimms. A stable version used to produce our results can be found at 10.5281/zenodo.7468914. Data can be found at 10.5525/gla.researchdata.1382. Contactr.mcbride.1@research.gla.ac.uk or vinny.davies@glasgow.ac.uk Supplementary informationSupplementary data are available at Bioarxiv online.

molecular biology↗

bioRxiv2023

Simulated-to-real Benchmarking of Acquisition Methods in Metabolomics

Data-Dependent and Data-Independent Acquisition modes (DDA and DIA, respectively) are both widely used to acquire MS2 spectra in untargeted liquid chromatography tandem mass spectrometry (LC-MS/MS) metabolomics analyses. Despite their wide use, little work has been attempted to systematically compare their performance due to the difficulty and cost of performing comparisons with real experimental data due to the lack of ground truth and the costs involved in running large number of acquisitions. Here, we present a systematic in-silico comparison of these two acquisition methods. To do so, we extended our Virtual Metabolomics Mass Spectrometer (ViMMS) framework with a DIA module. Our results show that the performance of these methods varies with the average number of co-eluting ions as the most important factor. At low numbers, DIA outperforms DDA, but at higher numbers, DDA has an advantage as DIA can no longer deal with the large amount of overlapping ion chromatograms. Results from simulation were further validated on an actual mass spectrometer, demonstrating that using ViMMS we can draw conclusions from simulation that translate well into the real world. Embedding this work within ViMMS also allows for researchers to easily simulate DDA and DIA LC-MS/MS runs, validate them on actual instrument, and potentially prototype novel methods that best combine the characteristics of both approaches. We believe that this work provides a useful guide to the choice of DIA or DDA for scientists involved in metabolomics data acquisition.

systems biology↗