Single Cell Dynamics Causes Pareto-Like Effect in Stimulated T Cell Populations
| Autor: | Thi My Anh Neildez-Nguyen, Jérémie Cosette, Alice Moussy, Fanny Onodi, Daniel Stockholm, Adrien Auffret-Cariou, Andras Paldi |
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| Přispěvatelé: | Approches génétiques intégrées et nouvelles thérapies pour les maladies rares (INTEGRARE), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Généthon, École Pratique des Hautes Études (EPHE) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0301 basic medicine
Cell Survival T cell Cellular differentiation [SDV]Life Sciences [q-bio] Cell Population Cell fate determination Biology Models Biological Article Green fluorescent protein Mice 03 medical and health sciences T-Lymphocyte Subsets medicine Animals Computer Simulation education Cells Cultured Cell Proliferation education.field_of_study Multidisciplinary Cell growth Cell Differentiation Phenotype Cell biology 030104 developmental biology medicine.anatomical_structure Microscopy Fluorescence Immunology Algorithms |
| Zdroj: | Scientific Reports Scientific Reports, Nature Publishing Group, 2015, 5, pp.17756. ⟨10.1038/srep17756⟩ Scientific Reports, 2015, 5, pp.17756. ⟨10.1038/srep17756⟩ |
| ISSN: | 2045-2322 |
| Popis: | Cell fate choice during the process of differentiation may obey to deterministic or stochastic rules. In order to discriminate between these two strategies we used time-lapse microscopy of individual murine CD4 + T cells that allows investigating the dynamics of proliferation and fate commitment. We observed highly heterogeneous division and death rates between individual clones resulting in a Pareto-like dominance of a few clones at the end of the experiment. Commitment to the Treg fate was monitored using the expression of a GFP reporter gene under the control of the endogenous Foxp3 promoter. All possible combinations of proliferation and differentiation were observed and resulted in exclusively GFP–, GFP+ or mixed phenotype clones of very different population sizes. We simulated the process of proliferation and differentiation using a simple mathematical model of stochastic decision-making based on the experimentally observed parameters. The simulations show that a stochastic scenario is fully compatible with the observed Pareto-like imbalance in the final population. |
| Databáze: | OpenAIRE |
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