The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Regulatory T Cell Migration Is Dependent on Glucokinase-Mediated Glycolysis
Open accessAbstract
Migration of activated regulatory T (Treg) cells to inflamed tissue is crucial for their immune-modulatory function. While metabolic reprogramming during Treg cell differentiation has been extensively studied, the bioenergetics of Treg cell trafficking remains undefined. We have investigated the metabolic demands of migrating Treg cells in vitro and in vivo. We show that glycolysis was instrumental for their migration and was initiated by pro-migratory stimuli via a PI3K-mTORC2-mediated pathway culminating in induction of the enzyme glucokinase (GCK). Subsequently, GCK promoted cytoskeletal rearrangements by associating with actin. Treg cells lacking this pathway were functionally suppressive but failed to migrate to skin allografts and inhibit rejection. Similarly, human carriers of a loss-of-function GCK regulatory protein gene-leading to increased GCK activity-had reduced numbers of circulating Treg cells. These cells displayed enhanced migratory activity but similar suppressive function, while conventional T cells were unaffected. Thus, GCK-dependent glycolysis regulates Treg cell migration.
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Citations
Cites
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140 · cited 2×
“…antigen activation of conventional T cell involves a substantial increase of hexokinase activity, which is dependent on a transcriptional switch in HK isozyme expression from HKI to HKII, which has higher affinity for glucose (Bosca et al., 1988; Marjanovic et al., 1990; Wang et al., 2011).”
BackgroundMichalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803
Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1
Dang, E. V., Barbi, J., Yang, H.-Y., Jinasena, D., Yu, H., Zheng, Y., Bordman, Z., Fu, J., Kim, Y., Yen, H.-R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.07.033 · Cited by 1,595
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475 · cited 3×
“Importantly, costimulatory receptors also regulate T cell metabolic reprogramming to enhanced glycolysis (Frauwirth et al., 2002; Parry et al., 2005), suggesting that glycolysis and migration might be tightly linked in Treg cells.”
BackgroundRegulation and function of mTOR signalling in T cell fate decisions
Chi, H. (2012) · Nature Reviews Immunology · doi:10.1038/nri3198 · Cited by 1,035
CD8 memory T cells have a bioenergetic advantage that underlies their rapid recall ability
van der Windt, G. J. W., O’Sullivan, D., Everts, B., Huang, S. C.-C., Buck, M. D., Curtis, J. D., Chang, C.-H., Smith, A. M., Ai, T., Faubert, B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221740110 · Cited by 523
Beer, N. L., Tribble, N. D., McCulloch, L. J., Roos, C., Johnson, P. R. V., Orho-Melander, M., & Gloyn, A. L. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp357 · Cited by 401
A point mutation in CD28 distinguishes proliferative signals from survival signals.
Okkenhaug, K., Wu, L., Garza, K. M., La Rose, J., Khoo, W., Odermatt, B., Mak, T. W., Ohashi, P. S., & Rottapel, R. (2001) · Nature Immunology · doi:10.1038/86327 · Cited by 210
Self-citationExpression of a new set of glycolytic isozymes in activated human peripheral lymphocytes
Marjanovic, S., Eriksson, I., & Nelson, B. D. (1990) · Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression · doi:10.1016/0167-4781(90)90113-g · Cited by 35
Cited by
Sun, L., Su, Y., Jiao, A., Wang, X., & Zhang, B. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01471-y · Cited by 1,014
Glycolysis – a key player in the inflammatory response
Soto‐Heredero, G., Gómez de las Heras, M. M., Gabandé‐Rodríguez, E., Oller, J., & Mittelbrunn, M. (2020) · The FEBS Journal · doi:10.1111/febs.15327 · Cited by 641
When worlds collide: Th17 and Treg cells in cancer and autoimmunity
Knochelmann, H. M., Dwyer, C. J., Bailey, S. R., Amaya, S. M., Elston, D. M., Mazza-McCrann, J. M., & Paulos, C. M. (2018) · Cellular & Molecular Immunology · doi:10.1038/s41423-018-0004-4 · Cited by 535
Changes in Nutritional Status Impact Immune Cell Metabolism and Function
Alwarawrah, Y., Kiernan, K., & MacIver, N. J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01055 · Cited by 513
Saravia, J., Chapman, N. M., & Chi, H. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0220-6 · Cited by 489
Metadata
- Authors
- Kishore, M., Cheung, K. C. P., Fu, H., Bonacina, F., Wang, G., Coe, D., Ward, E. J., Colamatteo, A., Jangani, M., Baragetti, A., Matarese, G., Smith, D. M., Haas, R., Mauro, C., Wraith, D. C., Okkenhaug, K., Catapano, A. L., De Rosa, V., Norata, G. D., & Marelli-Berg, F. M.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 47
- Issue
- 5
- Pages
- 875-889.e10
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W2769148407
- Cited by
- 276
- References
- 10
- FWCI
- 8.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kishore, M., Cheung, K. C. P., Fu, H., Bonacina, F., Wang, G., Coe, D., Ward, E. J., Colamatteo, A., Jangani, M., Baragetti, A., Matarese, G., Smith, D. M., Haas, R., Mauro, C., Wraith, D. C., Okkenhaug, K., Catapano, A. L., De Rosa, V., Norata, G. D., & Marelli-Berg, F. M. (2017). Regulatory T Cell Migration Is Dependent on Glucokinase-Mediated Glycolysis. Immunity. https://doi.org/10.1016/j.immuni.2017.10.017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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