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      Modeling the Epidermis Homeostasis and the Psoriasis

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          Abstract

          The epidermis renewal and homeostasis is maintained by a multistage process including cell proliferation, differentiation, migration, apoptosis and desquamation. We present a computational model of the spatial-temporal dynamics of the epidermis. The model consists of a population kinetics model of the central transition pathway of keratinocyte proliferation, differentiation and loss and an agent-based cell migration model that propagates cell movements and generates the stratified epidermis. The model visualizes the epidermal renewal by embedding stochastic events of population kinetics into the cell migration events. The model reproduces observed cell density distribution and the epidermal turnover time. We apply the model to study the onset and phototherapy-induced remission of psoriasis. The model considers the psoriasis as a parallel homeostasis of normal and psoriatic keratinocytes originated from a shared stem cell niche environment and predicts two steady-state modes of the psoriasis: a disease mode and a quiescent mode. The bimodal psoriasis is established by the interaction between psoriatic stem cells and the immune system. The prediction of a quiescent state potentially explains the efficacy of the multi-episode UVB irradiation therapy and reoccurrence of psoriasis.

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          Most cited references53

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          Stochastic simulation of chemical kinetics.

          Stochastic chemical kinetics describes the time evolution of a well-stirred chemically reacting system in a way that takes into account the fact that molecules come in whole numbers and exhibit some degree of randomness in their dynamical behavior. Researchers are increasingly using this approach to chemical kinetics in the analysis of cellular systems in biology, where the small molecular populations of only a few reactant species can lead to deviations from the predictions of the deterministic differential equations of classical chemical kinetics. After reviewing the supporting theory of stochastic chemical kinetics, I discuss some recent advances in methods for using that theory to make numerical simulations. These include improvements to the exact stochastic simulation algorithm (SSA) and the approximate explicit tau-leaping procedure, as well as the development of two approximate strategies for simulating systems that are dynamically stiff: implicit tau-leaping and the slow-scale SSA.
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            Epidermal homeostasis: a balancing act of stem cells in the skin.

            The skin epidermis and its array of appendages undergo ongoing renewal by a process called homeostasis. Stem cells in the epidermis have a crucial role in maintaining tissue homeostasis by providing new cells to replace those that are constantly lost during tissue turnover or following injury. Different resident skin stem cell pools contribute to the maintenance and repair of the various epidermal tissues of the skin, including interfollicular epidermis, hair follicles and sebaceous glands. Interestingly, the basic mechanisms and signalling pathways that orchestrate epithelial morphogenesis in the skin are reused during adult life to regulate skin homeostasis.
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              A single type of progenitor cell maintains normal epidermis.

              According to the current model of adult epidermal homeostasis, skin tissue is maintained by two discrete populations of progenitor cells: self-renewing stem cells; and their progeny, known as transit amplifying cells, which differentiate after several rounds of cell division. By making use of inducible genetic labelling, we have tracked the fate of a representative sample of progenitor cells in mouse tail epidermis at single-cell resolution in vivo at time intervals up to one year. Here we show that clone-size distributions are consistent with a new model of homeostasis involving only one type of progenitor cell. These cells are found to undergo both symmetric and asymmetric division at rates that ensure epidermal homeostasis. The results raise important questions about the potential role of stem cells on tissue maintenance in vivo.
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                Author and article information

                Journal
                2013-12-04
                Article
                1312.1401
                7c350d1f-95b5-4c3d-8241-2b2f94c6e253

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                21 pages, 9 figures
                q-bio.MN q-bio.CB

                Molecular biology
                Molecular biology

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