The DOI matches its Crossref record; 184 of the 184 references it cites were found in a registry or an index.
A cold-blooded view of adaptive immunity
Open accessAbstract
The adaptive immune system arose 500 million years ago in ectothermic (cold-blooded) vertebrates. Classically, the adaptive immune system has been defined by the presence of lymphocytes expressing recombination-activating gene (RAG)-dependent antigen receptors and the MHC. These features are found in all jawed vertebrates, including cartilaginous and bony fish, amphibians and reptiles and are most likely also found in the oldest class of jawed vertebrates, the extinct placoderms. However, with the discovery of an adaptive immune system in jawless fish based on an entirely different set of antigen receptors — the variable lymphocyte receptors — the divergence of T and B cells, and perhaps innate-like lymphocytes, goes back to the origin of all vertebrates. This Review explores how recent developments in comparative immunology have furthered our understanding of the origins and function of the adaptive immune system. Adaptive immunity arose 500 million years ago in cold-blooded vertebrates. Here, Martin Flajnik discusses how recent discoveries in fish, amphibians and reptiles have improved our understanding of the origins and functions of adaptive immune systems.
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.
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
Tolerance, Danger, and the Extended Family
Matzinger, P. (1994) · Annual Review of Immunology · doi:10.1146/annurev.iy.12.040194.005015 · Cited by 4,820
Lemaitre, B., Nicolas, E., Michaut, L., Reichhart, J.-M., & Hoffmann, J. A. (1996) · Cell · doi:10.1016/s0092-8674(00)80172-5 · Cited by 4,043
Muramatsu, M., Kinoshita, K., Fagarasan, S., Yamada, S., Shinkai, Y., & Honjo, T. (2000) · Cell · doi:10.1016/s0092-8674(00)00078-7 · Cited by 3,474
The Immunoglobulin Superfamily: Domains For Cell Surface Recognition
Williams, A. (1988) · Annual Review of Immunology · doi:10.1146/annurev.immunol.6.1.381 · Cited by 2,254
Structure and function of the spleen
Mebius, R. E., & Kraal, G. (2005) · Nature Reviews Immunology · doi:10.1038/nri1669 · Cited by 2,238
Revy, P., Muto, T., Levy, Y., Geissmann, F., Plebani, A., Sanal, O., Catalan, N., Forveille, M., Dufourcq-Lagelouse, R., Gennery, A., et al. (2000) · Cell · doi:10.1016/s0092-8674(00)00079-9 · Cited by 1,647
Targeted nucleotide editing using hybrid prokaryotic and vertebrate adaptive immune systems
Nishida, K., Arazoe, T., Yachie, N., Banno, S., Kakimoto, M., Tabata, M., Mochizuki, M., Miyabe, A., Araki, M., Hara, K. Y., et al. (2016) · Science · doi:10.1126/science.aaf8729 · Cited by 1,349
The immune system evolved to discriminate infectious nonself from noninfectious self
Janeway, C. A. (1992) · Immunology Today · doi:10.1016/0167-5699(92)90198-g · Cited by 1,342
Six-of-the-best: unique contributions of γδ T cells to immunology
Vantourout, P., & Hayday, A. (2013) · Nature Reviews Immunology · doi:10.1038/nri3384 · Cited by 1,232
The Atlantic salmon genome provides insights into rediploidization
Lien, S., Koop, B. F., Sandve, S. R., Miller, J. R., Kent, M. P., Nome, T., Hvidsten, T. R., Leong, J. S., Minkley, D. R., Zimin, A., et al. (2016) · Nature · doi:10.1038/nature17164 · Cited by 1,047
Cited by
γδ T cells in tissue physiology and surveillance
Ribot, J. C., Lopes, N., & Silva-Santos, B. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-00452-4 · Cited by 532
Advances in the Evolutionary Understanding of MHC Polymorphism
Radwan, J., Babik, W., Kaufman, J., Lenz, T. L., & Winternitz, J. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.01.008 · Cited by 333
Nakatani, Y., Shingate, P., Ravi, V., Pillai, N. E., Prasad, A., McLysaght, A., & Venkatesh, B. (2021) · Nature Communications · doi:10.1038/s41467-021-24573-z · Cited by 151
English, H., Hong, J., & Ho, M. (2020) · Antibody Therapeutics · doi:10.1093/abt/tbaa001 · Cited by 61
Phagocytosis: what’s on the menu?
Lancaster, C. E., Ho, C. Y., Hipolito, V. E. B., Botelho, R. J., & Terebiznik, M. R. (2019) · Biochemistry and Cell Biology · doi:10.1139/bcb-2018-0008 · Cited by 49
Metadata
- Authors
- Flajnik, M. F.
- Venue
- Nature Reviews Immunology
- Published
- 2018-03-19
- Volume
- 18
- Issue
- 7
- Pages
- 438-453
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W2790505494
- Cited by
- 348
- References
- 184
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A cold-blooded view of adaptive immunity. https://app.cochat.ai/papers/10.1038/s41577-018-0003-9
- The paper
- Flajnik, M. F. (2018). A cold-blooded view of adaptive immunity. Nature Reviews Immunology. https://doi.org/10.1038/s41577-018-0003-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.