The DOI matches its Crossref record; 126 of the 127 references it cites were found in a registry or an index.
Five Layers of Receptor Signaling in γδ T-Cell Differentiation and Activation
Open accessAbstract
The contributions of γδ T-cells to immunity to infection or tumors critically depend on their activation and differentiation into effectors capable of secreting cytokines and killing infected or transformed cells. These processes are molecularly controlled by surface receptors that capture key extracellular cues and convey downstream intracellular signals that regulate γδ T-cell physiology. The understanding of how environmental signals are integrated by γδ T-cells is critical for their manipulation in clinical settings. Here, we discuss how different classes of surface receptors impact on human and murine γδ T-cell differentiation, activation, and expansion. In particular, we review the role of five receptor types: the T-cell receptor (TCR), costimulatory receptors, cytokine receptors, NK receptors, and inhibitory receptors. Some of the key players are the costimulatory receptors CD27 and CD28, which differentially impact on pro-inflammatory subsets of γδ T-cells; the cytokine receptors IL-2R, IL-7R, and IL-15R, which drive functional differentiation and expansion of γδ T-cells; the NK receptor NKG2D and its contribution to γδ T-cell cytotoxicity; and the inhibitory receptors PD-1 and BTLA that control γδ T-cell homeostasis. We discuss these and other receptors in the context of a five-step model of receptor signaling in γδ T-cell differentiation and activation, and discuss its implications for the manipulation of γδ T-cells in immunotherapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“IL-12 and IL-18 promote IFN-γ production, while IL-1β and IL-23 drive them towards IL-17-producing cells (14).”
From Comparing Mouse and Human Tissue-Resident γδ T Cells (2022) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
IL-21 Regulates the Differentiation of a Human γδ T Cell Subset Equipped with B Cell Helper Activity
Caccamo, N., Todaro, M., Manna, M. P. L., Sireci, G., Stassi, G., & Dieli, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041940 · Cited by 64
RetractedSmith-Garvin, J. E., Koretzky, G. A., & Jordan, M. S. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132706 · Cited by 2,144
CTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms
Parry, R. V., Chemnitz, J. M., Frauwirth, K. A., Lanfranco, A. R., Braunstein, I., Kobayashi, S. V., Linsley, P. S., Thompson, C. B., & Riley, J. L. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.21.9543-9553.2005 · Cited by 1,931
Sutton, C. E., Lalor, S. J., Sweeney, C. M., Brereton, C. F., Lavelle, E. C., & Mills, K. H. G. (2009) · Immunity · doi:10.1016/j.immuni.2009.08.001 · Cited by 1,553
The DNA damage pathway regulates innate immune system ligands of the NKG2D receptor
Gasser, S., Orsulic, S., Brown, E. J., & Raulet, D. H. (2005) · Nature · doi:10.1038/nature03884 · Cited by 1,308
Controlling Natural Killer Cell Responses: Integration of Signals for Activation and Inhibition
Long, E. O., Kim, H. S., Liu, D., Peterson, M., & Rajagopalan, S. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-075005 · Cited by 1,258
Chemnitz, J. M., Parry, R. V., Nichols, K. E., June, C. H., & Riley, J. L. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.173.2.945 · Cited by 1,246
Interleukin-2 at the Crossroads of Effector Responses, Tolerance, and Immunotherapy
Liao, W., Lin, J., & Leonard, W. J. (2013) · Immunity · doi:10.1016/j.immuni.2013.01.004 · Cited by 1,107
Regulation of Cutaneous Malignancy by γδ T Cells
Girardi, M., Oppenheim, D. E., Steele, C. R., Lewis, J. M., Glusac, E. J., Filler, R. B., Hobby, P., Sutton, B. J., Tigelaar, R. E., & Hayday, A. (2001) · Science · doi:10.1126/science.1063916 · Cited by 1,068
Natural and synthetic non-peptide antigens recognized by human γδ T cells
Tanaka, Y., Morita, C. T., Tanaka, Y., Nieves, E., Brenner, M. B., & Bloom, B. R. (1995) · Nature · doi:10.1038/375155a0 · Cited by 1,003
Research works printed but not linked: 1
- Biswas, 2000, Engagement of CD30 shapes the secretion of cytokines by human gamma delta T cells, Eur J Immunol, 30, 2172, 10.1002/1521-4141(2000)30:182172::aid-immu21723.0.co;2-5 · DOI
Cited by
Sorted by citations
Early Immune Pathology and Persistent Dysregulation Characterise Severe COVID-19
Bergamaschi, L., Mescia, F., Turner, L., Hanson, A., Kotagiri, P., Dunmore, B. J., Ruffieux, H., Sa, A. D., Huhn, O., Morgan, M. D., et al. (2020) · Immunity · doi:10.1016/j.immuni.2021.05.010 · Cited by 334
“Similar, though less well defined, bystander phenomena occur in CD4, MAIT, and gd T cell responses (Holzapfel et al., 2014; Ribeiro et al., 2015; Ussher et al., 2018).”
Shandilya, S., Kumar, S., Jha, N. K., Kesari, K. K., & Ruokolainen, J. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2021.09.005 · Cited by 310
NF-kappaB: Two Sides of the Same Coin
Pires, B. R. B., Silva, R. C. M. C., Ferreira, G. M., & Abdelhay, E. S. F. W. (2018) · Genes · doi:10.3390/genes9010024 · Cited by 243
Almeida, A. R. M., Correia, D. V., Fernandes‐Platzgummer, A., da Silva, C. L., da Silva, M. G., Anjos, D. R., & Silva‐Santos, B. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0597 · Cited by 238
“In contrast, key inhibitory and exhaustion-associated molecules such as PD-1, CTLA-4, or CD94 (24) were expressed either at very low levels or not expressed at all (Fig.”
BackgroundSelf-citationLawand, M., Déchanet‐Merville, J., & Dieu‐Nosjean, M. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00761 · Cited by 240
Metadata
- Authors
- Ribeiro, S. T., Ribot, J. C., & Silva-Santos, B.
- Affiliations
- University of Lisbon (PT)
- ORCID
- Ribot, Julie C.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2015-01-26
- Volume
- 6
- Pages
- 15-15
- ISSN
- 1664-3224 (ISSN-L)
- PMC
- PMC4306313
- OpenAlex
- W2027271725
- Semantic Scholar
- d2d3632814aa56e04fe85192b8fcd093a630672b
- Cited by
- 116
- References
- 127
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 7 · 2023: 4 · 2022: 15 · 2021: 21 · 2020: 15 · 2019: 13 · 2018: 13 · 2017: 8 · 2016: 4 · 2015: 2
- FWCI
- 0.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Immunology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Funders
- Fundação para a Ciência e a Tecnologia (SFRH/BD/84123/2012)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Immune Cell Function and Interaction
- Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
- Keywords
- γδ T cells, receptor signaling, T cell activation, T cell differentiation, costimulatory receptors, CD27, CD28, cytokine receptors, interleukin-2 receptor, IL-7 receptor, IL-15 receptor, NK cell receptors, NKG2D, cytotoxicity, inhibitory receptors, PD-1, BTLA, T cell homeostasis, immunotherapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review