In an immune response to infection, naïve T lymphocytes proliferate and give rise to a heterogeneous population of effector and memory cells. How is this diversity generated, and how can it be manipulated? Answering these questions requires an understanding of the lineage relationships between different effector and memory-cell subsets, but these relationships remain to be identified definitively. In this issue of the European Journal of Immunology, a study moves us closer to this goal by combining a mathematical model and data from influenza infections in mice to support the hypothesis that CD8 1 T-cell differentiation is strongly coupled to cell division.Key words: CD8 T cell . Differentiation . Mathematical modelling See accompanying article by Schlub et al.A textbook depiction of a CD8 1 T-cell response involves clonal expansion, contraction and memory formation. This familiar dynamic arises from a complex set of developmental processes. The responding population usually comprises multiple TCR specificities and rapidly exhibits a diverse range of effector functions, migratory patterns and potential for long-term persistence as memory cells. Understanding how this heterogeneity develops and how it might be manipulated has important consequences for vaccine design.The diversity of the CD8 1 T-cell response in vivo can arise from a single naïve antigen-specific precursor [1]. This observation directly challenges ''one cell, one fate'' models of the development of heterogeneity in T-cell responses, in which multiple naïve precursor cells are either pre-disposed to different fates or receive distinct instructional signals from Ag-presenting cells at the priming stage. Thus, the diversity appears to be generated progressively during clonal expansion -but how?There exists a wealth of beautiful experimental studies dissecting the factors that influence the clonal and phenotypic structure of T-cell responses, such as signal strength and co-stimulation [2], Ag persistence [3], the timing of viral epitope presentation [4], precursor frequency [5,6] and inflammation [7]. However, a consistent picture of the rules underlying the development of heterogeneity in T-cell responses has been elusive, partly due to difficulties in isolating and controlling the many factors that influence these responses in vivo. In addition, understanding how diversity arises requires knowledge of cells' ancestries, and there are significant (but diminishing) technical barriers to tracking cell fates during immune responses. For example, adoptive transfer of CFSE-labelled cells provides a tool for observing correlations between division number and differentiation, but proliferation rapidly dilutes the label to undetectable levels and so restricts such analyses to short temporal windows [8]. Furthermore, adoptive transfer experiments often utilise unphysiologically high precursor cell numbers, which can limit the extent of clonal expansion and distort the patterns of differentiation observed in endogenous responses [5].Recent advances in multi p...