The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Inflammatory Type 2 cDCs Acquire Features of cDC1s and Macrophages to Orchestrate Immunity to Respiratory Virus Infection
Open accessAbstract
Summary The phenotypic and functional dichotomy between IRF8+ type 1 and IRF4+ type 2 conventional dendritic cells (cDC1s and cDC2s, respectively) is well accepted; it is unknown how robust this dichotomy is under inflammatory conditions, when additionally monocyte-derived cells (MCs) become competent antigen-presenting cells (APCs). Using single-cell technologies in models of respiratory viral infection, we found that lung cDC2s acquired expression of the Fc receptor CD64 shared with MCs and of IRF8 shared with cDC1s. These inflammatory cDC2s (inf-cDC2s) were superior in inducing CD4+ T helper (Th) cell polarization while simultaneously presenting antigen to CD8+ T cells. When carefully separated from inf-cDC2s, MCs lacked APC function. Inf-cDC2s matured in response to cell-intrinsic Toll-like receptor and type 1 interferon receptor signaling, upregulated an IRF8-dependent maturation module, and acquired antigens via convalescent serum and Fc receptors. Because hybrid inf-cDC2s are easily confused with monocyte-derived cells, their existence could explain why APC functions have been attributed to MCs.
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
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Sallusto, F., & Lanzavecchia, A. (1994) · The Journal of Experimental Medicine · doi:10.1084/jem.179.4.1109 · Cited by 5,129
Batf3 Deficiency Reveals a Critical Role for CD8α + Dendritic Cells in Cytotoxic T Cell Immunity
Hildner, K., Edelson, B. T., Purtha, W. E., Diamond, M., Matsushita, H., Kohyama, M., Calderon, B., Schraml, B. U., Unanue, E. R., Diamond, M. S., et al. (2008) · Science · doi:10.1126/science.1164206 · Cited by 2,081
the Immunological Genome Consortium, Gautier, E. L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S., Helft, J., Chow, A., Elpek, K. G., et al. (2012) · Nature Immunology · doi:10.1038/ni.2419 · Cited by 1,972
Dendritic cells, monocytes and macrophages: a unified nomenclature based on ontogeny
Guilliams, M., Ginhoux, F., Jakubzick, C., Naik, S. H., Onai, N., Schraml, B. U., Segura, E., Tussiwand, R., & Yona, S. (2014) · Nature Reviews Immunology · doi:10.1038/nri3712 · Cited by 1,819
Self-citationSerbina, N. V., & Pamer, E. G. (2006) · Nature Immunology · doi:10.1038/ni1309 · Cited by 1,669
A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
Lun, A. T. L., McCarthy, D. J., & Marioni, J. C. (2016) · F1000Research · doi:10.12688/f1000research.9501.2 · Cited by 1,574
Differential Antigen Processing by Dendritic Cell Subsets in Vivo
Dudziak, D., Kamphorst, A. O., Heidkamp, G. F., Buchholz, V. R., Trumpfheller, C., Yamazaki, S., Cheong, C., Liu, K., Lee, H.-W., Park, C. G., et al. (2007) · Science · doi:10.1126/science.1136080 · Cited by 1,455
Hammad, H., Chieppa, M., Perros, F., Willart, M. A., Germain, R. N., & Lambrecht, B. N. (2009) · Nature Medicine · doi:10.1038/nm.1946 · Cited by 1,139
Self-citationAn optical marker based on the UV-induced green-to-red photoconversion of a fluorescent protein
Ando, R., Hama, H., Yamamoto-Hino, M., Mizuno, H., & Miyawaki, A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202320599 · Cited by 1,027
Cited by
Cabeza-Cabrerizo, M., Cardoso, A., Minutti, C. M., Pereira da Costa, M., & Reis e Sousa, C. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-061020-053707 · Cited by 757
Dendritic Cell Regulation of T Helper Cells
Yin, X., Chen, S., & Eisenbarth, S. C. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101819-025146 · Cited by 447
Duong, E., Fessenden, T. B., Lutz, E., Dinter, T., Yim, L., Blatt, S., Bhutkar, A., Wittrup, K. D., & Spranger, S. (2022) · Immunity · doi:10.1016/j.immuni.2021.10.020 · Cited by 372
Cottam, M. A., Caslin, H. L., Winn, N. C., & Hasty, A. H. (2022) · Nature Communications · doi:10.1038/s41467-022-30646-4 · Cited by 216
Dynamics of monocyte-derived macrophage diversity in experimental myocardial infarction
Rizzo, G., Gropper, J., Piollet, M., Vafadarnejad, E., Rizakou, A., Bandi, S. R., Arampatzi, P., Krammer, T., DiFabion, N., Dietrich, O., et al. (2023) · Cardiovascular Research · doi:10.1093/cvr/cvac113 · Cited by 165
Metadata
- Authors
- Bosteels, C., Neyt, K., Vanheerswynghels, M., van Helden, M. J., Sichien, D., Debeuf, N., De Prijck, S., Bosteels, V., Vandamme, N., Martens, L., Saeys, Y., Louagie, E., Lesage, M., Williams, D. L., Tang, S.-C., Mayer, J. U., Ronchese, F., Scott, C. L., Hammad, H., Guilliams, M., & Lambrecht, B. N.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 52
- Issue
- 6
- Pages
- 1039-1056.e9
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W3023852946
- Cited by
- 412
- References
- 96
- FWCI
- 16.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Inflammatory Type 2 cDCs Acquire Features of cDC1s and Macrophages to Orchestrate Immunity to Respiratory Virus Infection. https://app.cochat.ai/papers/10.1016/j.immuni.2020.04.005
- The paper
- Bosteels, C., Neyt, K., Vanheerswynghels, M., van Helden, M. J., Sichien, D., Debeuf, N., De Prijck, S., Bosteels, V., Vandamme, N., Martens, L., Saeys, Y., Louagie, E., Lesage, M., Williams, D. L., Tang, S.-C., Mayer, J. U., Ronchese, F., Scott, C. L., Hammad, H., . . . Lambrecht, B. N. (2020). Inflammatory Type 2 cDCs Acquire Features of cDC1s and Macrophages to Orchestrate Immunity to Respiratory Virus Infection. Immunity. https://doi.org/10.1016/j.immuni.2020.04.005
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.
