Staff Profile

Marco Trevisan-Herraz is a Research Associate in Bioinformatics in the Biosciences Institute at Newcastle University, where he applies computational and statistical approaches to biological and clinical datasets. He currently works at the laboratory of Prof Gavin Richardson, contributing to research in cardiovascular ageing and cellular senescence.

After completing his Licenciatura (≃MSc) in Theoretical Physics in Madrid, and an MSc in Biophysics, he earned a PhD in bioinformatics applied to proteomics at the Centro Nacional de Investigaciones Cardiovasculares (CNIC) in Madrid, where he developed statistical models for the identification, quantification, and systems-level interpretation of mass spectrometry-based proteomics experiments. He is the creator and was the main developer of the SanXoT software package for modular quantitative proteomics analysis, co-authoring methods such as the Systems Biology Triangle to detect coordinated protein regulation in proteomics data. He moved to Newcastle University in 2018, where he has worked on projects applying AI to genomics, epigenomics, and single-cell RNA-Seq, including Chromatinsight (a machine learning model for the discovery of differential histone mark patterns).

• Articles

  • Sudhindar PD, Orr SE, Miller-Hodges E, Molinari E, Wood K, Srivastava S, Miles CG, Mabillard HR, Sentell ZT, Trevisan-Herraz M, Arcila-Galvis JE, Sayer JA. Urine-derived renal epithelial cells for deep phenotyping and transcriptomic response to therapy in Fabry disease. Clinical Science 2025, 139(14), 791-808.
  • Sudhindar PD, Olinger E, Sentell ZT, Mabillard H, Dicka B, Wood K, Rutland D, Collins C, Trevisan-Herraz M, Sayer JA, Arcila-Galvis JE. Urinary renal epithelial cells can be used for NPHP1 phenotyping and a personalized therapeutic strategy. Journal of Cell Science 2025, 138(20), jcs264141.
  • Davidson BSA, Arcila-Galvis JE, Trevisan-Herraz M, Mikulasova A, Brackley CA, Russell LJ, Rico D. Evolutionarily conserved enhancer-associated features within the MYEOV locus suggest a regulatory role for this non-coding DNA region in cancer. Frontiers in Cell and Developmental Biology 2024, 12, 1294510.
  • Mikulasova A, Kent D, Trevisan-Herraz M, Karataraki N, Fung KTM, Ashby C, Cieslak A, Yaccoby S, van Rhee F, Zangari M, Thanendrarajan S, Schinke C, Morgan GJ, Asnafi V, Spicuglia S, Brackley CA, Corcoran AE, Hambleton S, Walker BA, Rico D, Russell LJ. Epigenomic translocation of H₃K₄me₃ broad domains over oncogenes following hijacking of super-enhancers. Genome Research 2022, 32, 1343-1354.