Literature DB >> 17442932

Characterizing T cell movement within lymph nodes in the absence of antigen.

Catherine Beauchemin1, Narendra M Dixit, Alan S Perelson.   

Abstract

The recent application of two-photon microscopy to the visualization of T cell movement has presented trajectories of individual T cells within lymphoid organs both in the presence and in the absence of Ag-loaded dendritic cells. Remarkably, even though T cells largely move along conduits of the fibroblastic reticular cell network, they appear to execute random walks in lymphoid organs rather than chemotaxis. In this study, we analyze experimental trajectories of T cells using computer simulations of idealized random walks. Comparisons of simulations with experimental data provide estimates of key parameters that characterize T cell motion in vivo. For example, we find that the distance moved before turning is about twice the distance between intersections in the fibroblastic reticular cell network, suggesting that at an intersection a T cell will turn onto a new fiber approximately 50% of the time. Although the calibrated model appears to offer an accurate representation of T cell movement, it has also uncovered inconsistencies across different experimental data sets.

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Year:  2007        PMID: 17442932     DOI: 10.4049/jimmunol.178.9.5505

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  31 in total

1.  A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning.

Authors:  Thomas Riggs; Adrienne Walts; Nicolas Perry; Laura Bickle; Jennifer N Lynch; Amy Myers; Joanne Flynn; Jennifer J Linderman; Mark J Miller; Denise E Kirschner
Journal:  J Theor Biol       Date:  2007-10-18       Impact factor: 2.691

2.  Simulating T-cell motility in the lymph node paracortex with a packed lattice geometry.

Authors:  Gib Bogle; P Rod Dunbar
Journal:  Immunol Cell Biol       Date:  2008-08-19       Impact factor: 5.126

3.  How antigen quantity and quality determine T-cell decisions in lymphoid tissue.

Authors:  Huan Zheng; Bo Jin; Sarah E Henrickson; Alan S Perelson; Ulrich H von Andrian; Arup K Chakraborty
Journal:  Mol Cell Biol       Date:  2008-04-21       Impact factor: 4.272

Review 4.  Analysing immune cell migration.

Authors:  Joost B Beltman; Athanasius F M Marée; Rob J de Boer
Journal:  Nat Rev Immunol       Date:  2009-10-16       Impact factor: 53.106

5.  B cells within germinal centers migrate preferentially from dark to light zone.

Authors:  Joost B Beltman; Christopher D C Allen; Jason G Cyster; Rob J de Boer
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

6.  Defining the quantitative limits of intravital two-photon lymphocyte tracking.

Authors:  Johannes Textor; Antonio Peixoto; Sarah E Henrickson; Mathieu Sinn; Ulrich H von Andrian; Jürgen Westermann
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-06       Impact factor: 11.205

7.  Migration of Cytotoxic T Lymphocytes in 3D Collagen Matrices.

Authors:  Zeinab Sadjadi; Renping Zhao; Markus Hoth; Bin Qu; Heiko Rieger
Journal:  Biophys J       Date:  2020-12-01       Impact factor: 4.033

8.  Lymph node cortical sinus organization and relationship to lymphocyte egress dynamics and antigen exposure.

Authors:  Irina L Grigorova; Mikhail Panteleev; Jason G Cyster
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-08       Impact factor: 11.205

9.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

Review 10.  Scaling aspects of lymphocyte trafficking.

Authors:  Alan S Perelson; Frederik W Wiegel
Journal:  J Theor Biol       Date:  2008-11-18       Impact factor: 2.691

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