Joseph Cursons

A general thermodynamic approach for model reduction of enzyme cycles and electrogenic transporters

This paper introduces a thermodynamic framework for reducing enzyme cycle models while preserving physical constraints, applicable to both hypothetical systems and real data like Na+/K+ ATPase.

High temporal resolution RNA-seq time course data reveals mammalian lncRNA activationmirrors neighbouring protein-coding genes

The paper analyzes high-resolution RNA-seq time course data to show lncRNAs are expressed synchronously with adjacent protein-coding genes, suggesting they may be by-products rather than regulators.

Modular assembly of dynamic models in systems biology

The paper proposes using bond graphs to improve modularity and physical consistency in systems biology models, demonstrating their utility in modelling MAPK cascades and glycolysis.

Stable gene expression for normalisation and single-sample scoring

The paper introduces stingscore, a method that uses stably-expressed genes to score transcriptomic signatures from individual samples, improving normalization and enabling clinical applications.

Defining a landscape of molecular phenotypes using a simple single sample scoring method

The paper introduces a single-sample scoring method for gene set analysis that is stable across varying sample compositions and demonstrates improved computational efficiency compared to existing methods.

Therapeutic blockade of Activin-A improves NK cell function and anti-tumor immunity

This study shows Activin-A inhibits NK cell function, promotes transdifferentiation into ILC1-like cells, and suppresses anti-tumor immunity, with therapeutic blockade improving outcomes.

A natural killer cell gene signature predicts melanoma patient survival

The paper develops an NK cell gene signature to predict survival in metastatic cutaneous melanoma patients using TCGA RNA-seq data.

Post-Transcriptional Control Of EMT Is Coordinated Through Combinatorial Targeting By Multiple microRNAs

The paper shows that multiple microRNAs work together to control EMT by reducing noise and enhancing gene expression changes, more accurately reflecting endogenous regulation.

Inferring edge function in protein-protein interaction networks

The paper infers edge functions in protein-protein interaction networks using machine learning with Gene Ontology, InterPro, and Pfam annotations, achieving high classification accuracy.