Biology subjects

Smales, C. M.

Publications and source records attributed to Smales, C. M..

4 recordsLinked to original sources

bioRxiv2025

Three-dimensional single-particle reconstruction by atomic force microscopy allows rapid structural-based validation of recombinant SARS-CoV-2 Spike protein from a single topology image

Atomic force microscopy (AFM) is a versatile multi-modal imaging method frequently used for structural characterisation of biological surfaces at the nanoscale. However, AFM-based three-dimensional single-particle reconstruction has hitherto not been possible due to the tip-sample convolution artifact that distorts AFM images of individual molecules, and the disconnect between two-dimensional AFM images of surface deposited molecules and their three-dimensional structures. Here, three-dimensional single-particle analysis was developed for rapid structure-based validation of protein structures using as few as a single AFM topology image, based on contact-point reconstruction AFM (CPR-AFM) in an integrative approach with cryo-electron microscopy maps available in the Electron Microscopy Data Bank by template matching. This approach was demonstrated on the structural validation of recombinant trimeric ectodomain of SARS-CoV-2 Spike glycoprotein to show its immediate utility as a rapid structure-based sample quality control method in the recombinant expression and purification of the Spike protein samples that can be used in vaccines and therapeutics research. These results show that three-dimensional single-particle reconstruction by AFM is possible, that high signal-to-noise AFM imaging offers a rapid and cost-effective way of validation or identification of three-dimensional protein structures at single particle level, and that AFM can be linked to structural data derived from methods such as cryo-electron microscopy, resulting in integrative methodologies with new capabilities for structural biology.

biophysics↗

bioRxiv2025

Near-cognate tRNAs dominate codon decoding times in simulated ribosomes

The codon sequence of messenger RNAs affects ribosome dynamics, translational control, and transcript stability. Here we describe an advanced computational modelling tool and its application to studying the effect of different tRNA species on the codon decoding process. We show that simulated codon decoding times are sensitive to the abundance of near-cognate tRNA species as well as cognate species, an aspect of the decoding system that is not fully considered in other computational modelling studies. We demonstrate that codon decoding times predicted by models that accurately define near-cognate tRNAs and that are parameterised with high-quality tRNA abundance datasets are highly similar to ribosome dwell times determined using experimental ribosome footprinting data, thereby confirming both the importance of near-cognate tRNAs for the codon decoding process and the general accuracy of our modelling tools.

systems biology↗

bioRxiv2023

A cell-free strategy for profiling intracellular antibiotic sensitivity and resistance

Antimicrobial resistance (AMR) is a pandemic spread across multiple priority infectious disease threats. While the cell envelope plays a key role in AMR, this also makes it challenging to study how antibiotics function inside the cell. Herein, we present a Klebsiella pneumoniae cell-free gene expression (CFE) platform for the rapid profiling of intracellular antibiotic sensitivity and resistance. This cell-free approach provides the unique macromolecular and metabolite components from this microbe, which include multiple antibiotic targets from transcription, translation, and metabolic processes. First, we compare the K. pneumoniae CFE system to whole cell antimicrobial assays. We find that several antibiotic classes show higher sensitivity in the CFE system, suggesting limitations in antibiotic transport in the whole cell assay. Next, we evolved K. pneumoniae strains with resistance to specific antibiotics and use whole genome sequencing analysis for genotyping. As an exemplary case, we show that a single RNA polymerase beta subunit variant H526L (also frequently found in multidrug resistant Mycobacterium tuberculosis) confers a 58-fold increase in CFE resistance to rifampicin. Overall, we describe a safe (i.e., non-living, non-pathogenic) platform suitable for studying an infectious disease model in a Containment Level 1 laboratory. Our CFE strategy is generalisable to laboratory and clinical K. pneumoniae strains and provides a new experimental tool to profile intracellular AMR variants. In conclusion, our CFE tool provides a significant advance towards understanding AMR and complements wider infectious disease studies.

microbiology↗

bioRxiv2021

Rpl24Bst mutation suppresses colorectal cancer by promoting eEF2 phosphorylation via eEF2K

Increased protein synthesis supports the rapid proliferation associated with cancer. The Rpl24Bst mutant mouse reduces the expression of the ribosomal protein RPL24 and has been used to suppress translation and limit tumorigenesis in multiple mouse models of cancer. Here we show that Rpl24Bst also suppresses tumorigenesis and proliferation in a model of colorectal cancer with two common patient mutations, Apc and Kras. In contrast to previous reports, Rpl24Bst mutation has no effect on ribosomal subunit abundance but suppresses translation elongation through phosphorylation of eEF2, reducing protein synthesis by 40% in tumour cells. Ablating eEF2 phosphorylation in Rpl24Bst mutant mice by inactivating its kinase, eEF2K, completely restores the rates of elongation and protein synthesis. Furthermore, eEF2K activity is required for the Rpl24Bst mutant to suppress tumorigenesis. This work demonstrates that elevation of eEF2 phosphorylation is an effective means to suppress colorectal tumorigenesis with two driver mutations. This positions translation elongation as a therapeutic target in colorectal cancer, as well as other cancers where the Rpl24Bst mutation has a tumour suppressive effect in mouse models.

cancer biology↗