The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Pattern Recognition Receptors and the Host Cell Death Molecular Machinery
Open accessAbstract
Pattern Recognition Receptors (PRRs) are proteins capable of recognizing molecules frequently found in pathogens (the so-called Pathogen-Associated Molecular Patterns-PAMPs), or molecules released by damaged cells (the Damage-Associated Molecular Patterns-DAMPs). They emerged phylogenetically prior to the appearance of the adaptive immunity and, therefore, are considered part of the innate immune system. Signals derived from the engagement of PRRs on the immune cells activate microbicidal and pro-inflammatory responses required to eliminate or, at least, to contain infectious agents. Molecularly controlled forms of cell death are also part of a very ancestral mechanism involved in key aspects of the physiology of multicellular organism, including the elimination of unwanted, damaged or infected cells. Interestingly, each form of cell death has its particular effect on inflammation and on the development of innate and adaptive immune responses. In this review article, we discuss some aspects of the molecular interplay between the cell death machinery and signals initiated by the activation of PRRs by PAMPs and DAMPs.
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
Galluzzi, L., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., Agostinis, P., Alnemri, E. S., Altucci, L., Amelio, I., Andrews, D. W., et al. (2018) · Cell Death & Differentiation · doi:10.1038/s41418-017-0012-4 · Cited by 6,680
Gout-associated uric acid crystals activate the NALP3 inflammasome
Martinon, F., Pétrilli, V., Mayor, A., Tardivel, A., & Tschopp, J. (2006) · Nature · doi:10.1038/nature04516 · Cited by 5,326
NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals
Duewell, P., Kono, H., Rayner, K. J., Sirois, C. M., Vladimer, G., Bauernfeind, F. G., Abela, G. S., Franchi, L., Nuñez, G., Schnurr, M., et al. (2010) · Nature · doi:10.1038/nature08938 · Cited by 4,026
Circulating mitochondrial DAMPs cause inflammatory responses to injury
Zhang, Q., Raoof, M., Chen, Y., Sumi, Y., Sursal, T., Junger, W., Brohi, K., Itagaki, K., & Hauser, C. J. (2010) · Nature · doi:10.1038/nature08780 · Cited by 3,812
Caspase-11 cleaves gasdermin D for non-canonical inflammasome signalling
Kayagaki, N., Stowe, I. B., Lee, B. L., O’Rourke, K., Anderson, K., Warming, S., Cuellar, T., Haley, B., Roose-Girma, M., Phung, Q. T., et al. (2015) · Nature · doi:10.1038/nature15541 · Cited by 3,686
Calreticulin exposure dictates the immunogenicity of cancer cell death
Obeid, M., Tesniere, A., Ghiringhelli, F., Fimia, G. M., Apetoh, L., Perfettini, J.-L., Castedo, M., Mignot, G., Panaretakis, T., Casares, N., et al. (2007) · Nature Medicine · doi:10.1038/nm1523 · Cited by 3,216
Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores
Liu, X., Zhang, Z., Ruan, J., Pan, Y., Magupalli, V. G., Wu, H., & Lieberman, J. (2016) · Nature · doi:10.1038/nature18629 · Cited by 3,202
Chemotherapy drugs induce pyroptosis through caspase-3 cleavage of a gasdermin
Wang, Y., Gao, W., Shi, X., Ding, J., Liu, W., He, H., Wang, K., & Shao, F. (2017) · Nature · doi:10.1038/nature22393 · Cited by 3,199
Fadok, V. A., Bratton, D. L., Konowal, A., Freed, P. W., Westcott, J. Y., & Henson, P. M. (1998) · Journal of Clinical Investigation · doi:10.1172/jci1112 · Cited by 3,166 · cited 1×
“In addition, it is well established that recognition of apoptotic cells by macrophages, in particular, results in the production of anti-inflammatory molecules, such as TGF-β and PGE2 (11).”
BackgroundCryopyrin activates the inflammasome in response to toxins and ATP
Mariathasan, S., Weiss, D. S., Newton, K., McBride, J., O'Rourke, K., Roose-Girma, M., Lee, W. P., Weinrauch, Y., Monack, D. M., & Dixit, V. M. (2006) · Nature · doi:10.1038/nature04515 · Cited by 3,080
Cited by
Qin, S., Xiao, W., Zhou, C., Pu, Q., Deng, X., Lan, L., Liang, H., Song, X., & Wu, M. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01056-1 · Cited by 1,703
PARP Inhibitors: Clinical Relevance, Mechanisms of Action and Tumor Resistance
Rose, M., Burgess, J. T., O’Byrne, K., Richard, D. J., & Bolderson, E. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.564601 · Cited by 719
Blevins, H. M., Xu, Y., Biby, S., & Zhang, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.879021 · Cited by 587
NLRP12-PANoptosome activates PANoptosis and pathology in response to heme and PAMPs
Sundaram, B., Pandian, N., Mall, R., Wang, Y., Sarkar, R., Kim, H. J., Malireddi, R. K. S., Karki, R., Janke, L. J., Vogel, P., et al. (2023) · Cell · doi:10.1016/j.cell.2023.05.005 · Cited by 423
The multiple myeloma microenvironment is defined by an inflammatory stromal cell landscape
de Jong, M. M. E., Kellermayer, Z., Papazian, N., Tahri, S., Hofste op Bruinink, D., Hoogenboezem, R., Sanders, M. A., van de Woestijne, P. C., Bos, P. K., Khandanpour, C., et al. (2021) · Nature Immunology · doi:10.1038/s41590-021-00931-3 · Cited by 250
Metadata
- Authors
- Amarante-Mendes, G. P., Adjemian, S., Branco, L. M., Zanetti, L. C., Weinlich, R., & Bortoluci, K. R.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2018-10-16
- Volume
- 9
- Pages
- 2379-2379
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2896767268
- Cited by
- 749
- References
- 55
- FWCI
- 18.49
- Type
- journal article
- Language
- en
- Open access
- gold
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: Pattern Recognition Receptors and the Host Cell Death Molecular Machinery. https://app.cochat.ai/papers/10.3389/fimmu.2018.02379
- The paper
- Amarante-Mendes, G. P., Adjemian, S., Branco, L. M., Zanetti, L. C., Weinlich, R., & Bortoluci, K. R. (2018). Pattern Recognition Receptors and the Host Cell Death Molecular Machinery. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2018.02379
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.
