Adrian Liston

This study identifies a rare pancreatic tissue-resident regulatory T cell population that exhibits both anti-tumour and pro-repair functions in the exocrine pancreas.

The paper investigates immune dysfunction in cirrhosis by analyzing CD8ab⁺ intraepithelial lymphocytes and identifies CCL25-CCR9 axis disruption as a key factor.

This study shows that TCR-ligand affinity quantitatively modulates transcriptome remodelling in vivo, affecting cell division and interferon response.

The paper compares immunological profiles of patients with autoinflammation of unknown origin to healthy controls and Still's disease patients, identifying shared biomarkers and immune features.

AutoSpectral enhances spectral flow cytometry accuracy by optimizing unmixing matrices and matching autofluorescence at the cellular level, significantly reducing errors in complex datasets.

The paper uses probabilistic modeling on a parabiosis dataset to analyze lymphocyte migration kinetics and dwell times across tissues, revealing cell type- and tissue-specific residency patterns.

This paper designs IL2 muteins with enhanced Treg or CD8 T cell specificity and improved production by predicting mutations using SolubiS and testing their functional and structural properties.

This study shows that regulatory T cells protect against age-related retinal inflammation and neurodegeneration by preventing retinal pigment epithelium dysmorphology and phagocyte accumulation in aged mice.

This study shows that delivering IL2 to the brain in aging mice partially restores molecular signatures of aging and improves spatial learning.

This study shows that ageing impairs regulatory T cells' ability to promote remyelination by reducing their capacity to drive oligodendrocyte differentiation and myelination.

AutoSpill calculates spillover coefficients for high-parameter flow cytometry data using automated gating and iterative refinement, improving compensation without requiring manual tuning or well-defined controls.

The paper demonstrates that human microglia derived from embryonic stem cells can engraft mouse brains and express Alzheimer's risk genes when exposed to Aβ, offering a new model to study genetic risk in AD.

This study uses machine learning to identify an immunological signature specific to Juvenile Idiopathic Arthritis (JIA) with ~90% diagnostic accuracy.