Biology subjects

Hamilton, F.

Publications and source records attributed to Hamilton, F..

4 recordsLinked to original sources

bioRxiv2025

Nuclear Irregularity as a Universal Diagnostic Tool in Solid Tumors

As tumors develop, cancer cells accumulate diverse genomic and phenotypic alterations to meet heightened demands for energy production and biosynthesis. Loss of lamina function and perturbations in energy production are associated with pronounced aberrations in cellular morphology, particularly within nuclear architecture and the plasma membrane. Systematic analysis of nuclear morphology can reveal conserved structures across diverse cancer types, enabling disease state stratification, biomarker discovery, and potential avenues for personalizing therapy to minimize recurrence risk. To this end, this study analyzes an imaging mass cytometry (IMC) breast cancer dataset, differentiating cancerous and non-cancerous nuclei with a p-value of 1.02e-06. In addition, this study achieves an accuracy of 78 percent using a computational and machine learning-based pipeline for analyzing the morphological heterogeneity of nuclei and protein expression, enabling characterization of patient-specific tumor phenotypes. Unlike traditional morphology analysis pipelines limited to specific imaging platforms, this workflow enables cross-cohort and cross-cancer comparison, capturing tumor-specific phenotypic deviations at a single-cell resolution. The resulting pheno-typic profiles could inform prognosis, treatment, and monitoring of therapeutic response. SummaryAs cancers become more aggressive and require more energy, typically uniform and organized cells begin to develop abnormal features to support their heightened needs. Studies have found that the prevalence of abnormal features is directly associated with the speed at which the tumor grows, but also the bodys ability to fight back. This study aims to streamline the analysis of these irregular features across all cancer types, providing a clearer picture of how nuclei distinguish stages of cancer and aid in rapidly clinically assessing at-risk or affected patients. Using the nuclear abnormality score developed, this study was able to identify sub-populations of highly irregular cancer cells, and successfully separate them with a p-value of 1.222e-21. By comparing the expression of cancer proteins with these irregularities, we can begin to develop insights that can be used across all imaging techniques to understand the cancers inner workings and learn to predict relapse before it even occurs.

bioinformatics↗

bioRxiv2023

Harvesting and amplifying gene cassettes confers cross-resistance to critically important antibiotics

Amikacin and piperacillin/tazobactam are frequent antibiotic choices to treat bloodstream infection, which is commonly fatal and most often caused by bacteria from the family Enterobacterales. Here we show that two gene cassettes located side-by-side in and ancestral integron similar to In37 have been "harvested" by insertion sequence IS26 as a transposon that is already globally disseminated among the Enterobacterales. This transposon encodes the enzymes AAC(6)-Ib-cr and OXA-1, reported, respectively, as amikacin and piperacillin/tazobactam resistance mechanisms. However, by studying bloodstream infection isolates from 769 patients from, three hospitals serving a population of 1.5 million people in South West England, we show that increased enzyme production due to mutation in an IS26/In37-derived hybrid promoter or, more commonly, transposon copy number amplification is required to simultaneously remove these two key therapeutic options; in many cases leaving only the last-resort antibiotic, meropenem. These findings may help improve the accuracy of predicting piperacillin/tazobactam treatment failure, allowing stratification of patients to receive meropenem or piperacillin/tazobactam, which may improve outcome and slow the emergence of meropenem resistance.

microbiology↗

bioRxiv2022

Alterations in platelet proteome signature and impaired platelet integrin αIIbβ3 activation in patients with COVID-19

BackgroundPatients with coronavirus disease-19 (COVID-19) are at increased risk of thrombosis, which is associated with altered platelet function and coagulopathy, contributing to excess mortality. ObjectivesWe aimed to characterise the mechanism of altered platelet function in COVID-19 patients. MethodsThe platelet proteome, platelet functional responses and platelet-neutrophil aggregates were compared between patients hospitalised with COVID-19 and healthy control subjects using Tandem Mass Tag (TMT) proteomic analysis, Western blotting and flow cytometry. ResultsCOVID-19 patients showed a different profile of platelet protein expression (858 altered out of 5773 quantified). Levels of COVID-19 plasma markers were enhanced in COVID-19 platelets. Gene ontology (GO) pathway analysis demonstrated that levels of granule secretory proteins were raised, whereas some platelet activation proteins, such as the thrombopoietin receptor and PKC, were lowered. Basally, COVID-19 platelets showed enhanced phosphatidylserine (PS) exposure, with unaltered integrin IIb{beta}3 activation and P-selectin expression. Agonist-stimulated integrin IIb{beta}3 activation and PS exposure, but not P-selectin expression, were significantly decreased in COVID-19 patients. COVID-19 patients had high levels of platelet-neutrophil aggregates, even under basal conditions, compared to controls. This interaction was disrupted by blocking P-selectin, demonstrating that platelet P-selectin is critical for the interaction. ConclusionsOverall, our data suggests the presence of two platelet populations in patients with COVID-19: one with circulating platelets with an altered proteome and reduced functional responses and another with P-selectin expressing neutrophil-associated platelets. Platelet driven thromboinflammation may therefore be one of the key factors enhancing the risk of thrombosis in COVID-19 patients. Essentials- COVID-19 patient platelet function and platelet proteins were compared with healthy controls - Proteomic analysis of platelets indicated that COVID-19 decreased platelet activation proteins - Agonist induced PS exposure and integrin IIb{beta}3 activation were impaired in COVID-19 - COVID-19 led to maximal levels of P-selectin dependent platelet-neutrophil aggregates

cell biology↗

bioRxiv2020

Trade-Offs Between Antibacterial Resistance and Fitness Cost in the Production of Metallo-β-Lactamase by Enteric Bacteria Manifest as Sporadic Emergence of Carbapenem Resistance in a Clinical Setting.

Meropenem is a clinically important antibacterial reserved for treatment of multi-resistant infections. In meropenem-resistant bacteria of the family Enterobacteriales, NDM-1 is considerably more common than IMP-1, despite both metallo-{beta}-lactamases (MBLs) hydrolysing meropenem with almost identical kinetics. We show that blaNDM-1 consistently confers meropenem resistance in wild-type Enterobacteriales, but blaIMP-1 does not. The reason is higher blaNDM-1 expression because of its stronger promoter. However, the cost of meropenem resistance is reduced fitness of blaNDM-1 positive Enterobacteriales because of amino acid starvation. In parallel, from a clinical case, we identified multiple Enterobacter spp. isolates carrying a plasmid-encoded blaNDM-1 having a modified promoter region. This modification lowered MBL production to a level associated with zero fitness cost but, consequently, the isolates were not meropenem resistant. However, we identified a Klebsiella pneumoniae isolate from this same clinical case carrying the same blaNDM-1 plasmid. This isolate was meropenem resistant despite low-level NDM-1 production because of a ramR mutation, reducing envelope permeability. Overall, therefore, we show how the resistance/fitness trade-off for MBL carriage can be resolved. The result is sporadic emergence of meropenem resistance in a clinical setting.

microbiology↗