Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences

Senior Lecturer







605Sir Alexander Fleming BuildingSouth Kensington Campus





The lab website

Dr Masahiro Ono was originally trained as a dermatologist, and later specialised in immunology. He obtained his PhD in 2006 by a study on regulatory T cells (Treg), and later identified the interaction of the Treg-specific transcription factor Foxp3 and the transcription factor Runx1. In 2009, he obtained a HFSP Fellowship, and joined University College London (UCL), when he established a new genomic analysis tool using a multidimensional method, Canonical Correspondence Analysis (CCA). In 2012, he was awarded a BBSRC David Phillips Fellowship, and established his lab in UCL. In 2015, he moved in the Department of Life Sciences, Imperial, and was appointed as Senior Lecturer in 2018.

Recently, the Ono group has established a novel tool for analysing temporal dynamics of cellular differentiation and activation in vivo, Timer-of-Cell-Kinetics-and-Activity (Tocky とき), and his group is using this tool to investigate mechanisms underlying T cell differentiation and T cell-mediated immune response.



Bending D, Ono M, 2018, From stability to dynamics: understanding molecular mechanisms of regulatory T cells through Foxp3 transcriptional dynamics., Clin Exp Immunol

Bending D, Paduraru A, Ducker CB, et al., 2018, A temporally dynamic Foxp3 autoregulatory transcriptional circuit controls the effector Treg programme, Embo Journal, Vol:37, ISSN:0261-4189

Bradley A, Hashimoto T, Ono M, 2018, Elucidating T Cell Activation-Dependent Mechanisms for Bifurcation of Regulatory and Effector T Cell Differentiation by Multidimensional and Single-Cell Analysis, Frontiers in Immunology, Vol:9, ISSN:1664-3224

Bradley A, Hashimoto T, Ono M, 2018, Elucidating the activation mechanisms for bifurcation of regulatory and effector T cell fates by multidimensional single cell analysis

Bending D, Ono M, 2017, Interplay between the skin barrier and immune cells in patients with atopic dermatitis unraveled by means of mathematical modeling, Journal of Allergy and Clinical Immunology, Vol:139, ISSN:0091-6749, Pages:1790-1792

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