Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity
Ashley Rider, Henry J. Grantham, Graham R. Smith…·Nick J. Reynolds
Author
King's College LondonORCID 0000-0001-5371-4427Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
7 papers
Recent·Most cited
Ashley Rider, Henry J. Grantham, Graham R. Smith…·Nick J. Reynolds
Charles H. Earnshaw, Poppy Dunn, Shih‐Chieh Chiang…·Santiago Zelenay
This study shows glucocorticoids enhance anti-tumor immunity by inhibiting the GARP/TGF-β axis in melanoma, improving prognosis and response to immunotherapy.
Nick Dand, Philip E. Stuart, John Bowes…·James T. Elder
This study performs a GWAS meta-analysis of psoriasis, identifying 109 susceptibility loci, including 45 new ones, and highlights potential therapeutic targets and disease mechanisms.
Ariana Hernández-Cordero, Laurent F. Thomas, Alice Smail…·Francesca Capon
This paper conducts a genome-wide meta-analysis of palmoplantar pustulosis, identifying genetic associations with Th2 responses and cigarette smoking.
Matiss Ozols, Alexander Eckersley, Kieran T. Mellody…·Michael J. Sherratt
The paper identifies age-related biomarkers in human skin and tendon proteomes using peptide location fingerprinting and a new webtool.
Matiss Ozols, Alexander Eckersley, Christopher I. Platt…·Michael J. Sherratt
The paper develops a deep learning model to predict protein degradation by proteases and UVR/ROS in human skin, validated against experimental data and integrated into a web tool for proteome susceptibility analysis.
Marta Vergnano, Maja Mockenhaupt, Natashia Benzian-Olsson…·Angela Pushpa‐Rajah
The paper identifies MPO mutations as genetic determinants of pustular skin disease and increased neutrophil counts through exome sequencing and UK Biobank analysis.