The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Neutrophil Diversity in Health and Disease
Open accessAbstract
New evidence has challenged the outdated dogma that neutrophils are a homogeneous population of short-lived cells. Although neutrophil subpopulations with distinct functions have been reported under homeostatic and pathological conditions, a full understanding of neutrophil heterogeneity and plasticity is currently lacking. We review here current knowledge of neutrophil heterogeneity and diversity, highlighting the need for deep genomic, phenotypic, and functional profiling of the identified neutrophil subpopulations to determine whether these cells truly represent bona fide novel neutrophil subsets. We suggest that progress in understanding neutrophil heterogeneity will allow the identification of clinically relevant neutrophil subpopulations that may be used in the diagnosis of specific diseases and lead to the development of new therapeutic approaches.
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Fridlender, Z. G., Sun, J., Kim, S., Kapoor, V., Cheng, G., Ling, L., Worthen, G. S., & Albelda, S. M. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.06.017 · Cited by 3,371
Self-citationThe prognostic landscape of genes and infiltrating immune cells across human cancers
Gentles, A. J., Newman, A. M., Liu, C. L., Bratman, S. V., Feng, W., Kim, D., Nair, V. S., Xu, Y., Khuong, A., Hoang, C. D., et al. (2015) · Nature Medicine · doi:10.1038/nm.3909 · Cited by 3,118
Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards
Bronte, V., Brandau, S., Chen, S.-H., Colombo, M. P., Frey, A. B., Greten, T. F., Mandruzzato, S., Murray, P. J., Ochoa, A., Ostrand-Rosenberg, S., et al. (2016) · Nature Communications · doi:10.1038/ncomms12150 · Cited by 2,751
Myeloid-derived suppressor cells coming of age
Veglia, F., Perego, M., & Gabrilovich, D. (2018) · Nature Immunology · doi:10.1038/s41590-017-0022-x · Cited by 1,767
Lood, C., Blanco, L. P., Purmalek, M. M., Carmona-Rivera, C., De Ravin, S. S., Smith, C. K., Malech, H. L., Ledbetter, J. A., Elkon, K. B., & Kaplan, M. J. (2016) · Nature Medicine · doi:10.1038/nm.4027 · Cited by 1,570
Garcia-Romo, G. S., Caielli, S., Vega, B., Connolly, J., Allantaz, F., Xu, Z., Punaro, M., Baisch, J., Guiducci, C., Coffman, R. L., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3001201 · Cited by 1,383
Neutrophil: A Cell with Many Roles in Inflammation or Several Cell Types?
Rosales, C. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00113 · Cited by 1,334
Neutrophil ageing is regulated by the microbiome
Zhang, D., Chen, G., Manwani, D., Mortha, A., Xu, C., Faith, J. J., Burk, R. D., Kunisaki, Y., Jang, J.-E., Scheiermann, C., et al. (2015) · Nature · doi:10.1038/nature15367 · Cited by 839
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Pillay, J., Kamp, V. M., van Hoffen, E., Visser, T., Tak, T., Lammers, J.-W., Ulfman, L. H., Leenen, L. P., Pickkers, P., & Koenderman, L. (2012) · Journal of Clinical Investigation · doi:10.1172/jci57990 · Cited by 828
Phenotypic Diversity and Plasticity in Circulating Neutrophil Subpopulations in Cancer
Sagiv, J. Y., Michaeli, J., Assi, S., Mishalian, I., Kisos, H., Levy, L., Damti, P., Lumbroso, D., Polyansky, L., Sionov, R. V., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.039 · Cited by 816
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Wang, H., Kim, S. J., Lei, Y., Wang, S., Wang, H., Huang, H., Zhang, H., & Tsung, A. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01933-x · Cited by 537
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
Hidalgo, A., Chilvers, E. R., Summers, C., & Koenderman, L. (2019) · Trends in Immunology · doi:10.1016/j.it.2019.04.013 · Cited by 420
Neutrophil extracellular traps: from physiology to pathology
Hidalgo, A., Libby, P., Soehnlein, O., Aramburu, I. V., Papayannopoulos, V., & Silvestre-Roig, C. (2022) · Cardiovascular Research · doi:10.1093/cvr/cvab329 · Cited by 401
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Metadata
- Authors
- Silvestre-Roig, C., Fridlender, Z. G., Glogauer, M., & Scapini, P.
- Venue
- Trends in Immunology
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 40
- Issue
- 7
- Pages
- 565-583
- ISSN
- 1471-4906 (ISSN-L)
- OpenAlex
- W2946833774
- Cited by
- 522
- References
- 130
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.