Talk:Integumentary System Development: Difference between revisions
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064709/?tool=pubmed | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064709/?tool=pubmed | ||
===Development of a three dimensional multiscale computational model of the human epidermis=== | |||
Adra S, Sun T, MacNeil S, Holcombe M, Smallwood R. | |||
PLoS One. 2010 Jan 14;5(1):e8511. | |||
PMID: 20076760 | |||
Transforming Growth Factor (TGF-beta1) is a member of the TGF-beta superfamily ligand-receptor network. and plays a crucial role in tissue regeneration. The extensive in vitro and in vivo experimental literature describing its actions nevertheless describe an apparent paradox in that during re-epithelialisation it acts as proliferation inhibitor for keratinocytes. The majority of biological models focus on certain aspects of TGF-beta1 behaviour and no one model provides a comprehensive story of this regulatory factor's action. Accordingly our aim was to develop a computational model to act as a complementary approach to improve our understanding of TGF-beta1. In our previous study, an agent-based model of keratinocyte colony formation in 2D culture was developed. In this study this model was extensively developed into a three dimensional multiscale model of the human epidermis which is comprised of three interacting and integrated layers: (1) an agent-based model which captures the biological rules governing the cells in the human epidermis at the cellular level and includes the rules for injury induced emergent behaviours, (2) a COmplex PAthway SImulator (COPASI) model which simulates the expression and signalling of TGF-beta1 at the sub-cellular level and (3) a mechanical layer embodied by a numerical physical solver responsible for resolving the forces exerted between cells at the multi-cellular level. The integrated model was initially validated by using it to grow a piece of virtual epidermis in 3D and comparing the in virtuo simulations of keratinocyte behaviour and of TGF-beta1 signalling with the extensive research literature describing this key regulatory protein. This research reinforces the idea that computational modelling can be an effective additional tool to aid our understanding of complex systems. In the accompanying paper the model is used to explore hypotheses of the functions of TGF-beta1 at the cellular and subcellular level on different keratinocyte populations during epidermal wound healing. | |||
PMID: 20076760 | |||
http://www.ncbi.nlm.nih.gov/pubmed/20076760 | |||
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0008511 | |||
==Melanoblasts== | ==Melanoblasts== | ||
Revision as of 16:24, 9 October 2010
Biology and Genetics of Hair. http://www.ncbi.nlm.nih.gov/pubmed/20590427
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2064709/?tool=pubmed
Development of a three dimensional multiscale computational model of the human epidermis
Adra S, Sun T, MacNeil S, Holcombe M, Smallwood R. PLoS One. 2010 Jan 14;5(1):e8511. PMID: 20076760
Transforming Growth Factor (TGF-beta1) is a member of the TGF-beta superfamily ligand-receptor network. and plays a crucial role in tissue regeneration. The extensive in vitro and in vivo experimental literature describing its actions nevertheless describe an apparent paradox in that during re-epithelialisation it acts as proliferation inhibitor for keratinocytes. The majority of biological models focus on certain aspects of TGF-beta1 behaviour and no one model provides a comprehensive story of this regulatory factor's action. Accordingly our aim was to develop a computational model to act as a complementary approach to improve our understanding of TGF-beta1. In our previous study, an agent-based model of keratinocyte colony formation in 2D culture was developed. In this study this model was extensively developed into a three dimensional multiscale model of the human epidermis which is comprised of three interacting and integrated layers: (1) an agent-based model which captures the biological rules governing the cells in the human epidermis at the cellular level and includes the rules for injury induced emergent behaviours, (2) a COmplex PAthway SImulator (COPASI) model which simulates the expression and signalling of TGF-beta1 at the sub-cellular level and (3) a mechanical layer embodied by a numerical physical solver responsible for resolving the forces exerted between cells at the multi-cellular level. The integrated model was initially validated by using it to grow a piece of virtual epidermis in 3D and comparing the in virtuo simulations of keratinocyte behaviour and of TGF-beta1 signalling with the extensive research literature describing this key regulatory protein. This research reinforces the idea that computational modelling can be an effective additional tool to aid our understanding of complex systems. In the accompanying paper the model is used to explore hypotheses of the functions of TGF-beta1 at the cellular and subcellular level on different keratinocyte populations during epidermal wound healing.
PMID: 20076760 http://www.ncbi.nlm.nih.gov/pubmed/20076760
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0008511
Melanoblasts
Ex vivo live imaging of melanoblast migration in embryonic mouse skin.
Pigment Cell Melanoma Res. 2010 Apr;23(2):299-301. Epub 2010 Jan 7.
Mort RL, Hay L, Jackson IJ.
PMID: 20067551 http://www.ncbi.nlm.nih.gov/pubmed/20067551
Melanoblasts are the embryonic precursors of melanocytes. They are derived from the neural crest at around embryonic day 9.5 (E9.5) and upregulate early melanoblast specific markers (Mitf, Tyrosinase, Dct, Kit) around E10.5.
Includes videos of melanoblast migration in model mouse skin system.
The making of a melanocyte: the specification of melanoblasts from the neural crest.
Thomas AJ, Erickson CA. Pigment Cell Melanoma Res. 2008 Dec;21(6):598-610. Review. PMID: 19067969
Two distinct types of mouse melanocyte: differential signaling requirement for the maintenance of non-cutaneous and dermal versus epidermal melanocytes
Development. 2009 Aug;136(15):2511-21. Epub 2009 Jun 24.
Aoki H, Yamada Y, Hara A, Kunisada T.
Department of Tissue and Organ Development, Regeneration, and Advanced Medical Science, Gifu University Graduate School of Medicine, Yanagido, Gifu, Japan. Abstract Unlike the thoroughly investigated melanocyte population in the hair follicle of the epidermis, the growth and differentiation requirements of the melanocytes in the eye, harderian gland and inner ear - the so-called non-cutaneous melanocytes - remain unclear. In this study, we investigated the in vitro and in vivo effects of the factors that regulate melanocyte development on the stem cells or the precursors of these non-cutaneous melanocytes. In general, a reduction in KIT receptor tyrosine kinase signaling leads to disordered melanocyte development. However, melanocytes in the eye, ear and harderian gland were revealed to be less sensitive to KIT signaling than cutaneous melanocytes. Instead, melanocytes in the eye and harderian gland were stimulated more effectively by endothelin 3 (ET3) or hepatocyte growth factor (HGF) signals than by KIT signaling, and the precursors of these melanocytes expressed the lowest amount of KIT. The growth and differentiation of these non-cutaneous melanocytes were specifically inhibited by antagonists for ET3 and HGF. In transgenic mice induced to express ET3 or HGF in their skin and epithelial tissues from human cytokeratin 14 promoters, the survival and differentiation of non-cutaneous and dermal melanocytes, but not epidermal melanocytes, were enhanced, apparently irrespective of KIT signaling. These results provide a molecular basis for the clear discrimination between non-cutaneous or dermal melanocytes and epidermal melanocytes, a difference that might be important in the pathogenesis of melanocyte-related diseases and melanomas.
PMID: 19553284 http://www.ncbi.nlm.nih.gov/pubmed/19553284