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1

Lomonosov Moscow State University, Lenenskie Gori 1, Moscow 119991, Russia

2

Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen 9007, Switzerland

3

Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkina 8, Moscow 119333, Russia



These authors contributed equally to this work.





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Author to whom correspondence should be addressed.



Academic Editors: Filippo Castiglione and Paolo Tieri

Abstract In this study we present a computational approach to the generation of the major geometric structures of an idealized murine lymph node LN. In this generation, we consider the major compartments such as the subcapsular sinus, B cell follicles, trabecular and medullar sinuses, blood vessels and the T cell zone with a primary focus on the fibroblastic reticular cell FRC network. Confocal microscopy data of LN macroscopic structures and structural properties of the FRC network have been generated and utilized in the present model. The methodology sets a library of modules that can be used to assemble a solid geometric LN model and subsequently generate an adaptive mesh model capable of implementing transport phenomena. Overall, based on the use of high-resolution confocal microscopy and morphological analysis of cell 3D reconstructions, we have developed a computational model of the LN geometry, suitable for further investigation in studies of fluid transport and cell migration in this immunologically essential organ. View Full-Text

Keywords: lymph node; FRC network; geometric model; computational method lymph node; FRC network; geometric model; computational method





Author: Alexey Kislitsyn 1,†, Rostislav Savinkov 1,†, Mario Novkovic 2,†, Lucas Onder 2 and Gennady Bocharov 3,*

Source: http://mdpi.com/



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