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Monitoring cellular movement in vivo with photoconvertible fluorescence protein “Kaede” transgenic mice
Open accessAbstract
Kaede is a photoconvertible fluorescence protein that changes from green to red upon exposure to violet light. The photoconversion of intracellular Kaede has no effect on cellular function. Using transgenic mice expressing the Kaede protein, we demonstrated that movement of cells with the photoconverted Kaede protein could be monitored from lymphoid organs to other tissues as well as from skin to the draining lymph node. Analysis of the kinetics of cellular movement revealed that each subset of cells in the lymph node, such as CD4+T, CD8+T, B, and dendritic cells, has a distinct migration pattern in vivo. Thus, the Kaede transgenic mouse system would be an ideal tool to monitor precise cellular movement in vivo at different stages of immune response to pathogens as well as in autoimmune diseases.
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Chemokines, sphingosine-1-phosphate, and cell migration in secondary lymphoid organs
Cyster, J. G. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115628 · Cited by 856
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Zitvogel, L., Ayyoub, M., Routy, B., & Kroemer, G. (2016) · Cell · doi:10.1016/j.cell.2016.03.001 · Cited by 478
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Rojas, O. L., Pröbstel, A.-K., Porfilio, E. A., Wang, A. A., Charabati, M., Sun, T., Lee, D. S. W., Galicia, G., Ramaglia, V., Ward, L. A., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.035 · Cited by 382
Kolodin, D., van Panhuys, N., Li, C., Magnuson, A. M., Cipolletta, D., Miller, C. M., Wagers, A., Germain, R. N., Benoist, C., & Mathis, D. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.03.005 · Cited by 365
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Schnell, A., Huang, L., Singer, M., Singaraju, A., Barilla, R. M., Regan, B. M. L., Bollhagen, A., Thakore, P. I., Dionne, D., Delorey, T. M., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.018 · Cited by 268
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Fidelle, M., Rauber, C., Alves Costa Silva, C., Tian, A.-L., Lahmar, I., de La Varende, A.-L. M., Zhao, L., Thelemaque, C., Lebhar, I., Messaoudene, M., et al. (2023) · Science · doi:10.1126/science.abo2296 · Cited by 243
Hampton, H. R., Bailey, J., Tomura, M., Brink, R., & Chtanova, T. (2015) · Nature Communications · doi:10.1038/ncomms8139 · Cited by 211
Self-citationLymphatic system: An active pathway for immune protection
Liao, S., & von der Weid, P. Y. (2015) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2014.11.012 · Cited by 174
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Hanna, B. S., Wang, G., Galván-Peña, S., Mann, A. O., Ramirez, R. N., Muñoz-Rojas, A. R., Smith, K., Wan, M., Benoist, C., & Mathis, D. (2023) · Immunity · doi:10.1016/j.immuni.2023.01.033 · Cited by 126
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Brown, F. D., & Turley, S. J. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1402520 · Cited by 129
Immunology of the ageing kidney
Sato, Y., & Yanagita, M. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0185-9 · Cited by 126
Park, C. O., Fu, X., Jiang, X., Pan, Y., Teague, J. E., Collins, N., Tian, T., O'Malley, J. T., Emerson, R. O., Kim, J. H., et al. (2018) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.09.042 · Cited by 125
Leucocyte trafficking via the lymphatic vasculature—mechanisms and consequences
Jackson, D. G. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00471 · Cited by 120
Kotsiliti, E., Leone, V., Schuehle, S., Govaere, O., Li, H., Wolf, M. J., Horvatic, H., Bierwirth, S., Hundertmark, J., Inverso, D., et al. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.04.037 · Cited by 108
A dynamic atlas of immunocyte migration from the gut
Galván-Peña, S., Zhu, Y., Hanna, B. S., Mathis, D., & Benoist, C. (2024) · Science Immunology · doi:10.1126/sciimmunol.adi0672 · Cited by 74
Bryce, S. A., Wilson, R. A. M., Tiplady, E. M., Asquith, D. L., Bromley, S. K., Luster, A. D., Graham, G. J., & Nibbs, R. J. B. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1501542 · Cited by 71
Martens, R., Permanyer, M., Werth, K., Yu, K., Braun, A., Halle, O., Halle, S., Patzer, G. E., Bošnjak, B., Kiefer, F., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14921-w · Cited by 55
Callus γδ T cells and microbe-induced intestinal Th17 cells improve fracture healing in mice
Dar, H. Y., Perrien, D. S., Pal, S., Stoica, A., Uppuganti, S., Nyman, J. S., Jones, R. M., Weitzmann, M. N., & Pacifici, R. (2023) · Journal of Clinical Investigation · doi:10.1172/jci166577 · Cited by 48
Metadata
- Authors
- Tomura, M., Yoshida, N., Tanaka, J., Karasawa, S., Miwa, Y., Miyawaki, A., & Kanagawa, O.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-08-05
- Volume
- 105
- Issue
- 31
- Pages
- 10871-10876
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2116959117
- Cited by
- 413
- References
- 1
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- green
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