Andrew Yates, PhD

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Academic Appointments

  • Professor of Pathology & Cell Biology


Columbia Data Science Institute, Health Analytics

Systems Biology, Program for Mathematical Genomics



T and B lymphocytes are key components of vertebrate immune systems. They form richly structured and highly interactive communities that provide protection against infection while maintaining tolerance to innocuous antigens. They also encode immunological memory, responding rapidly and potently to previously encountered antigens. Our research integrates theoretical and computational tools with more traditional experimental approaches to study multiple aspects of lymphocyte dynamics. Our aim is to develop a mechanistic understanding of the rules underlying lymphocyte development, homeostasis, and their trajectories in response to antigen challenge. Our philosophy is to confront and break models with data to search for robust and quantitative explanations of immunological phenomena. Our current interests relate to the population dynamics of circulating lymphocytes, with particular focus on the impact of age on their persistence and function; the ecology of tissue-resident memory T cells; the recovery of lymphocyte subsets following hematopoietic stem cell transplantation; and the responses of HIV-infected infants to antiretroviral therapy.

Selected Publications

Asterisk (*) denotes joint senior and corresponding author, or joint first author

Verheijen M, Rane S, Yates AJ*, Seddon B* (2020). Fate mapping quantifies the dynamics of B cell development and activation throughout life. Bioarxiv 10.1101/871624

Morris SE, Dziobek-Garrett L, Strehlau R, Schroeter J, Shiau S, Anelone AJN, Paximadis M, de Boer RJ, Abrams EJ, Tiemessen CT, Kuhn L, Yates AJ, on behalf of the EPIICAL Consortium and the LEOPARD study team (2020). Quantifying the dynamics of HIV decline in perinatally-infected neonates on antiretroviral therapy. J Acquir Immune Defic Syndr., in press

Hogan T, Nowicka M, Cownden D, Pearson CF, Yates AJ*, Seddon B* (2019). Differential impact of self and environmental antigens on the ontogeny and maintenance of CD4+ T cell memory. eLife 8:e48901

Morris SE, Farber DL, Yates AJ (2019). Tissue-Resident Memory T Cells in Mice and Humans: Towards a Quantitative Ecology. Journal of Immunology 203(10):2561-2569

Mold JE, Réu P, Olin A, Bernard S, Michaëlsson J, Rane S, Yates A, Khosravi A, Salehpour M, Possnert G, Brodin P, Frisén J (2019). Cell generation dynamics underlying naive T-cell homeostasis in adult humans. PLoS Biology 17(10):e3000383

Ferrer IR, West HC, Henderson S, Ushakov DS, Santos E Sousa P, Strid J, Chakraverty R, Yates AJ, Bennett CL (2019). A wave of monocytes is recruited to replenish the long-term Langerhans cell network after immune injury. Science Immunology, 4:38

Rane S, Hogan T, Seddon B, Yates AJ (2018). Age is not just a number: Naive T cells increase their ability to persist in the circulation over time. PLoS Biology 16(4):e2003949

Seddon B, Yates AJ (2018). The natural history of naive T cells from birth to maturity. Immunological Reviews 285 (1):218-232

Gossel G, Hogan T, Cownden D, Seddon B, Yates AJ (2017). Memory CD4 T cell subsets are kinetically heterogeneous and replenished from naive T cells at high levels. eLife 10.7554/eLife.23013

Lee E, Thomas PG, Mold J, Yates AJ (2017). Identifying T cell receptors from high-throughput sequencing: dealing with promiscuity in TCRalpha and TCRbeta pairing. PLoS Computational Biology 13(1): e1005313

Hogan T, Gossel G, Yates AJ*, Seddon B* (2015). Temporal fate mapping reveals age-structured heterogeneity in naive CD4 and CD8 T lymphocyte populations in mice. Proc. Nat. Acad. Sci. USA 10.1073/pnas.1517246112

Palma P, Foster C, Rojo P, Zangari P, Yates A et al. (2015) The EPIICAL project: an emerging global collaboration to investigate immunotherapeutic strategies in HIV-infected children. Journal of Virus Eradication 1:134-139

Kadolsky U, Yates AJ (2015). How is the effectiveness of immune surveillance impacted by the spatial distribution of spreading infections? Philosophical Transactions of the Royal Society B: Biological Sciences 370:1675

Yates AJ (2014). Theories and quantification of thymic selection. Frontiers in Immunology 5(13)

Hogan T, Kadolsky U, Tung S, Seddon B, Yates A. (2014). Spatial heterogeneity and peptide availability determine CTL killing efficiency in vivo. PLoS Computational Biology 10(9) e1003805

Sinclair C, Bains I , Yates AJ, Seddon B (2013). Asymmetric thymocyte death underlies the CD4:CD8 T cell ratio in the adaptive immune system. Proc. Nat. Acad. Sci. USA 110(31), E2905-E2914

Bains I. van Santen H, Seddon B, Yates AJ (2013). Models of self-peptide sampling by developing T cells identify candidate mechanisms of thymic selection. PLoS Computational Biology 9(7): e1003102

Cameron A, Reece S, Drew D, Haydon DT, Yates AJ (2013), Plasticity in transmission strategies of the malaria parasite, Plasmodium chabaudi: environmental and genetic effects. Evolutionary Applications 6(2): 365-376

Johnson P, Yates A, Goronzy J, Antia R (2012). Peripheral selection rather than thymic involution explains sudden contraction in naive CD4 T-cell diversity with age. Proc Natl Acad Sci U S A, 109:21432-7

Lee M, Mandl J, Germain N, Yates AJ (2012) The race for the prize - T cell trafficking strategies for optimal surveillance. Blood 20(7):1432-8

Yates A, van Baalen M, Antia R (2011). Virus replication strategies and the critical CTL numbers required for the control of infection. PLoS Computational Biology, 7(11) e1002274

Margolis E, Yates A, Levin B (2010). The ecology of nasal colonization of Streptococcus pneumoniae, Haemophilus influenzae and Staphylococcus aureus: the roles of competition and interactions with host's immune response. BMC Microbiology 10(59)

Bains I, Antia R, Callard R, Yates A (2009). Quantifying the development of the peripheral naive CD4+ T-cell pool in humans. Blood 113(22):5480–5487

Bains I, Thiebaut R, Yates A, Callard R (2009). Quantifying thymic export: combining models of naive T cell proliferation and TREC dynamics gives an explicit measure of thymic output. Journal of Immunology 183(7):4329-36

Vezys V*, Yates A*, Casey KA, et al. (2009). Memory CD8 T-cell compartment grows in size with immunological experience. Nature 457(7226):196–9.

Yates A, Saini M, Mathiot A, Seddon B (2008). Mathematical modeling reveals the biological program regulating lymphopenia-induced proliferation. Journal of Immunology 180(3):1414–1422

de Roode JC, Yates A, Altizer S (2008). Virulence-transmission trade-offs and population divergence in virulence in a naturally occurring butterfly parasite. Proc. Nat. Acad. Sci. USA 105(21):7489-94

Yates A, Chan C, Strid S, Moon S, Callard R, George AJT, Stark S (2007). Reconstruction of cell population dynamics using CFSE. BMC Bioinformatics 8:196

Yates A, Stark J, Klein N, Antia R, Callard R (2007). Understanding the slow depletion of memory CD4+ T cells in HIV infection. PLoS Medicine 4(5):e177.

Yates A, Callard R, Stark J (2004). Combining cytokine signalling with T-bet and GATA-3 regulation in Th1 and Th2 differentiation: a model for cellular decision-making. Journal of Theoretical Biology 231(2):181–196

Yates A, Bergmann C, van Hemmen L, Stark J, Callard R (2000). Cytokine-modulated regulation of helper T cell populations. Journal of Theoretical Biology 206:539-560