ArticlePLoS computational biology2017
Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Altered thymic niche synergistically drives the massive proliferation of malignant thymocytes.eLife · 2025Article
- Head-to-head comparison of nuclear imaging approaches to quantify tumor CD8Immunotherapy advances · 2025Article
- CD4+ T cells with latent HIV-1 have reduced proliferative responses to T cell receptor stimulation.The Journal of experimental medicine · 2024Article
- Mechanosensitive mTORC1 signaling maintains lymphatic valves.The Journal of cell biology · 2023Article
- A sensitive and less cytotoxic assay for identification of proliferating T cells based on bioorthogonally-functionalized uridine analogue.Journal of immunological methods · 2022Article
- The effect of age on CD4+ T-cell recovery in HIV-suppressed adult participants: a sub-study from AIDS Clinical Trial Group (ACTG) A5321 and the Bone Loss and Immune Reconstitution (BLIR) study.Immunity & ageing : I & A · 2022Article
- Effect of cellular aging on memory T-cell homeostasis.Frontiers in immunology · 2022Article
- Nonconditioned ADA-SCID gene therapy reveals ADA requirement in the hematopoietic system and clonal dominance of vector-marked clones.Molecular therapy. Methods & clinical development · 2021Article
- Dynamic changes in tRNA modifications and abundance during T cell activation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Prevalence of proliferating CD8Aging · 2021Article
- Modeling the Dynamics of T-Cell Development in the Thymus.Entropy (Basel, Switzerland) · 2021Review
- Quantifying the limits of CAR T-cell delivery in mice and men.Journal of the Royal Society, Interface · 2021Article
- The Rules of Human T Cell FateFrontiers in immunology · 2020Article
- Quantitative analysis reveals reciprocal regulations underlying recovery dynamics of thymocytes and thymic environment in mice.Communications biology · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell proliferation is the common characteristic of all biological systems. The immune system insures the maintenance of body integrity on the basis of a continuous production of diversified T lymphocytes in the thymus. This involves processes of proliferation, differentiation, selection, death and migration of lymphocytes to peripheral tissues, where proliferation also occurs upon antigen recognition. Quantification of cell proliferation dynamics requires specific experimental methods and mathematical modelling. Here, we assess the impact of genetics and aging on the immune system by investigating the dynamics of proliferation of T lymphocytes across their differentiation through thymus and spleen in mice. Our investigation is based on single-cell multicolour flow cytometry analysis revealing the active incorporation of a thymidine analogue during S phase after pulse-chase-pulse experiments in vivo, versus cell DNA content. A generic mathematical model of state transition simulates through Ordinary Differential Equations (ODEs) the evolution of single cell behaviour during various durations of labelling. It allows us to fit our data, to deduce proliferation rates and estimate cell cycle durations in sub-populations. Our model is simple and flexible and is validated with other durations of pulse/chase experiments. Our results reveal that T cell proliferation is highly heterogeneous but with a specific "signature" that depends upon genetic origins, is specific to cell differentiation stages in thymus and spleen and is altered with age. In conclusion, our model allows us to infer proliferation rates and cell cycle phase durations from complex experimental 5-ethynyl-2'-deoxyuridine (EdU) data, revealing T cell proliferation heterogeneity and specific signatures.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.