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Institute of Immunity and Transplantation

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Computational Immunology

This interdisciplinary field applies computational and mathematical approaches to study the immune system's complexity and its interactions with pathogens, diseases, and therapies.

Dr Andreas Tiffeau-Mayer has developed theoretical and computational approaches to make quantitative sense of the recent deluge of sequencing data.

拢1m award to investigate new treatment for type 1 diabetes

Prof. Lucy Walker and Dr Andreas Tiffeau-Mayer are part of a team to receive 拢997,000 from the Type 1 Diabetes Grand Challenge.

Our work

At the IIT, we also use artificial intelligence approaches to crack the code of the adaptive immune system. We predict which pathogens are recognised by randomly generated antigen receptors on T and B cells.

By combining computational techniques with immunology, we can advance our understanding of how the immune system works and develop more effective strategies for diagnosing and treating immune-related disorders.

Projects

Cellular mechanisms controlling T cell immunity in non-lymphoid tissues

Following resolution of immune responses, memory T cells take up residence within the tissue at the site of the primary infection. These cells provide the first line of defence by the adaptive immune system. Our work combines novel fate reporter mouse strains with mathematical models to investigate the cellular mechanisms governing generation and maintenance of these tissue resident T cells.

Lead Investigators

  • Prof. Benedict Seddon (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Prof. Andy Yates (Columbia University, USA)
  • Prof. Donna Farber (Columbia University, USA)

Funding

  • National Institutes for Health, US
Cellular mechanisms controlling generation and maintenance of T cell memory

Following resolution of immune responses, T cells that recognise invading pathogen survive and become memory T cells. How these cells are generated and maintained between infections/exposure remains poorly defined. We aim to use novel fate reporter mouse strains and mathematical models to investigate the mechanisms governing generation and maintenance of T cell immunological memory, which is essential to prevent re-infection upon further exposure to pathogen.

Lead Investigators

  • Prof. Benedict Seddon (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Prof. Andy Yates (Columbia University, US)

Funding

  • National Institutes for Health, US
Generation and maintenance of marginal zone B cells

Efficient resolution of systemic infections relies on the rapid production of antibodies. A key element of this protection is mediated by B cells that reside primarily in the marginal zone (MZ) of the spleen. Our work combines novel fate reporter mouse strains with mathematical models to investigate the mechanisms governing generation and maintenance of MZ B cells.

Lead Investigators

  • Prof. Benedict Seddon (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Dr Sanket Rane (Columbia University, US)
  • Prof. Lothar Strobl (Helmholtz Zentrum M眉nchen)
  • Prof. Andy Yates聽 (Columbia University, US)

Funding

  • National Institutes for Health, US
Collective computation and regulation in the immune system

To provide efficient defence, immune systems dynamically adapt to the pathogens they encounter. We mathematically model the collective mechanisms that regulate these dynamical processes from bacteria to human to understand the computational principles they implement.

Lead Investigator

  • Dr聽Andreas Tiffeau-Mayer (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Prof. Lucy Walker (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Dr Jennifer Cowan (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Dr聽Ben Greenbaum (Computational Immuno-Oncology, Sloan-Kettering Cancer Center)
  • Prof. Vijay Balasubramanian (Department of Physics and Astronomy, U Penn)

Funding

  • Royal Free Charity
Reading the adaptive immune receptor code

The specificity of adaptive immune responses relies on the binding of hyper-variable receptors to diverse ligands. We are using artificial intelligence approaches to reveal the sequence determinants of antibody and T cell receptor binding specificity.

Lead Investigator

  • Dr聽Andreas Tiffeau-Mayer (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Prof. Benny Chain (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Prof. Hans Stauss (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Prof.聽Ned Wingreen (Lewis-Sigler Institute for Integrative Genomics, Princeton U)
  • Prof. Curtis Callan (Department of Physics, Princeton U)
  • Prof. Lisa Wagar (Department of Physiology and Biophysics, UC Irvine)

Funding

  • Wellcome Leap
  • National Institute for Health Research
  • Royal Free Charity
Tracking immunity in infectious and autoimmune disease

Sequencing of adaptive immune receptor repertoires allows tracking immune responses at unprecedented depth. We are working on linking repertoire information to outcomes in infectious (SARS-CoV-2 and mycobacterium tuberculosis) and autoimmune (type 1 diabetes) diseases.

Lead Investigator

  • Dr聽Andreas Tiffeau-Mayer (Institute of Immunity & Transplantation, 香港六合彩中特网)

Collaborators

  • Prof. Benny Chain (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Dr聽Leo Swadling (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Prof. Mahdad Noursadeghi (Institute of Immunity & Transplantation, 香港六合彩中特网)
  • Prof. Al Leslie (AHRI/香港六合彩中特网)

Funding

  • National Institute for Health Research
  • Royal Free Charity

Our experts

Benedict Seddon


Immune Cell Homeostasis

Andreas Mayer


Computational Biology

Funding and partnerships

Logo for NIH

Logo for the Royal Free Charity

Logo for Leap (Wellcome)

logo for national institute of health research

Selected publications

  1. Lindeboom RGH, Worlock KB, Dratva LM ... Mayer A, et al聽(2024). . Nature. 2024 Jul;631(8019): 189-198.聽Erratum in: Nature. 2024 Aug 1.

  2. Lukas E, Hogan T, Williams C, Seddon B, Yates AJ (2023). . Front Immunol. 2023 Jul 27;14:1157705.

  3. Mayer A, Callan CG Jr (2023). . Proc Natl Acad Sci USA. 2023 Jan 24;120(4): e2213264120.

  4. Milighetti M, Peng Y, Tan C ...聽Mayer A, et al (2023). . iScience. 2023 Jun 16;26(6): 106937.

  5. Rane S, Hogan T, Lee E,聽Seddon B, Yates AJ (2022).聽. Elife. 2022 Jun 9;11: e78168.

  1. Chen H, Mayer A, Balasubramanian V (2022). . Curr Biol. 2022 Jul 11;32(13): 2897-2907.e5.

  2. Verheijen M, Rane S, Pearson C, Yates AJ, Seddon B (2020). . Cell Rep. 2020 Nov 17;33(7): 108376.

  3. Mayer A, Zhang Y, Perelson AS, Wingreen NS (2019). . Proc Natl Acad Sci USA. 2019 Mar 26;116(13): 5914-5919.

  4. Rane S, Hogan T, Seddon B, Yates AJ (2018). . PLoS Biol. 2018 Apr 11;16(4): e2003949.