The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Heterogeneity of Ly6Chi Monocytes Controls Their Differentiation into iNOS+ Macrophages or Monocyte-Derived Dendritic Cells
Open accessAbstract
Inflammation triggers the differentiation of Ly6C hi monocytes into microbicidal macrophages or monocyte-derived dendritic cells (moDCs). Yet, it is unclear whether environmental inflammatory cues control the polarization of monocytes toward each of these fates or whether specialized monocyte progenitor subsets exist before inflammation. Here, we have shown that naive monocytes are phenotypically heterogeneous and contain an NR4A1- and Flt3L-independent, CCR2-dependent, Flt3 + CD11c − MHCII + PU.1 hi subset. This subset acted as a precursor for FcγRIII + PD-L2 + CD209a + , GM-CSF-dependent moDCs but was distal from the DC lineage, as shown by fate-mapping experiments using Zbtb46 . By contrast, Flt3 − CD11c − MHCII − PU.1 lo monocytes differentiated into FcγRIII + PD-L2 − CD209a − iNOS + macrophages upon microbial stimulation. Importantly, Sfpi1 haploinsufficiency genetically distinguished the precursor activities of monocytes toward moDCs or microbicidal macrophages. Indeed, Sfpi1 +/− mice had reduced Flt3 + CD11c − MHCII + monocytes and GM-CSF-dependent FcγRIII + PD-L2 + CD209a + moDCs but generated iNOS + macrophages more efficiently. Therefore, intercellular disparities of PU.1 expression within naive monocytes segregate progenitor activity for inflammatory iNOS + macrophages or moDCs.
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Cites
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245
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 · cited 1×
“Furthermore, R1 and R2 expressed a macrophage signature (e.g., Fcgr3 and Csf3r; Figure S1K; Gaut- ier et al., 2012) while clustering close to each other (Figures 1G and 1H) apart from the DC-committed precursors.”
Self-citationRegulation of B lymphocyte and macrophage development by graded expression of PU.1
DeKoter, R. P., & Singh, H. (2000) · Science · doi:10.1126/science.288.5470.1439 · Cited by 749
Meredith, M. M., Liu, K., Darrasse-Jeze, G., Kamphorst, A. O., Schreiber, H. A., Guermonprez, P., Idoyaga, J., Cheong, C., Yao, K.-H., Niec, R. E., et al. (2012) · Journal of Experimental Medicine · doi:10.1084/jem.20112675 · Cited by 524
Self-citationPU.1 regulates the commitment of adult hematopoietic progenitors and restricts granulopoiesis
Dakic, A., Metcalf, D., Di Rago, L., Mifsud, S., Wu, L., & Nutt, S. L. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20050075 · Cited by 297
DeKoter, R. P., Walsh, J. C., & Singh, H. (1998) · The EMBO Journal · doi:10.1093/emboj/17.15.4456 · Cited by 296 · cited 2×
“1 might boost the expression of growth factor receptors required for the development of moDCs (e.g., CSFR2A; DeKoter et al., 1998).”
Carotta, S., Dakic, A., D'Amico, A., Pang, S. H. M., Greig, K. T., Nutt, S. L., & Wu, L. (2010) · Immunity · doi:10.1016/j.immuni.2010.05.005 · Cited by 279
Essential role of the IRF8-KLF4 transcription factor cascade in murine monocyte differentiation
Kurotaki, D., Osato, N., Nishiyama, A., Yamamoto, M., Ban, T., Sato, H., Nakabayashi, J., Umehara, M., Miyake, N., Matsumoto, N., et al. (2013) · Blood · doi:10.1182/blood-2012-06-437863 · Cited by 252
Brass, A. L., Zhu, A. Q., & Singh, H. (1999) · The EMBO Journal · doi:10.1093/emboj/18.4.977 · Cited by 204 · cited 2×
“PU.1 can bind to Ets binding sites on its own, but PU.1 also cooperates with IRF4 or IRF8 at Ets-IRF composite response elements called EICEs (Brass et al., 1999).”
Balance of MafB and PU. 1 specifies alternative macrophage or dendritic cell fate
Bakri, Y., Sarrazin, S., Mayer, U. P., Tillmanns, S., Nerlov, C., Boned, A., & Sieweke, M. H. (2005) · Blood · doi:10.1182/blood-2004-04-1448 · Cited by 187
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Dick, S. A., Macklin, J. A., Nejat, S., Momen, A., Clemente-Casares, X., Althagafi, M. G., Chen, J., Kantores, C., Hosseinzadeh, S., Aronoff, L., et al. (2019) · Nature Immunology · doi:10.1038/s41590-018-0272-2 · Cited by 883
Yáñez, A., Coetzee, S. G., Olsson, A., Muench, D. E., Berman, B. P., Hazelett, D. J., Salomonis, N., Grimes, H. L., & Goodridge, H. S. (2017) · Immunity · doi:10.1016/j.immuni.2017.10.021 · Cited by 470
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Tcyganov, E., Mastio, J., Chen, E., & Gabrilovich, D. I. (2018) · Current Opinion in Immunology · doi:10.1016/j.coi.2018.03.009 · Cited by 398
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Goudot, C., Coillard, A., Villani, A.-C., Gueguen, P., Cros, A., Sarkizova, S., Tang-Huau, T.-L., Bohec, M., Baulande, S., Hacohen, N., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.016 · Cited by 382
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
Mildner, A., Schönheit, J., Giladi, A., David, E., Lara-Astiaso, D., Lorenzo-Vivas, E., Paul, F., Chappell-Maor, L., Priller, J., Leutz, A., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.04.018 · Cited by 317
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Myeloid cell heterogeneity in cancer: not a single cell alike
Kiss, M., Van Gassen, S., Movahedi, K., Saeys, Y., & Laoui, D. (2018) · Cellular Immunology · doi:10.1016/j.cellimm.2018.02.008 · Cited by 159
Amorim, A., De Feo, D., Friebel, E., Ingelfinger, F., Anderfuhren, C. D., Krishnarajah, S., Andreadou, M., Welsh, C. A., Liu, Z., Ginhoux, F., et al. (2022) · Nature Immunology · doi:10.1038/s41590-021-01117-7 · Cited by 140
Giladi, A., Wagner, L. K., Li, H., Dörr, D., Medaglia, C., Paul, F., Shemer, A., Jung, S., Yona, S., Mack, M., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0661-1 · Cited by 130
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Hou, X., Chen, G., Bracamonte-Baran, W., Choi, H. S., Diny, N. L., Sung, J., Hughes, D., Won, T., Wood, M. K., Talor, M. V., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.007 · Cited by 83
GM-CSF: Master regulator of the T cell-phagocyte interface during inflammation
Ingelfinger, F., De Feo, D., & Becher, B. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2021.101518 · Cited by 61
Long, H., Lichtnekert, J., Andrassy, J., Schraml, B. U., Romagnani, P., & Anders, H.-J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1194988 · Cited by 46
Role of NR4A family members in myeloid cells and leukemia
Boulet, S., Le Corre, L., Odagiu, L., & Labrecque, N. (2022) · Current Research in Immunology · doi:10.1016/j.crimmu.2022.02.001 · Cited by 17
Metadata
- Authors
- Menezes, S., Melandri, D., Anselmi, G., Perchet, T., Loschko, J., Dubrot, J., Patel, R., Gautier, E. L., Hugues, S., Longhi, M. P., Henry, J. Y., Quezada, S. A., Lauvau, G., Lennon-Duménil, A.-M., Gutiérrez-Martínez, E., Bessis, A., Gomez-Perdiguero, E., Jacome-Galarza, C. E., Garner, H., Geissmann, F., Golub, R., Nussenzweig, M. C., & Guermonprez, P.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 45
- Issue
- 6
- Pages
- 1205-1218
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W2561257582
- Cited by
- 291
- References
- 11
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
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