The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Modulation of Myelopoiesis Progenitors Is an Integral Component of Trained Immunity
Open accessAbstract
Trained innate immunity fosters a sustained favorable response of myeloid cells to a secondary challenge, despite their short lifespan in circulation. We thus hypothesized that trained immunity acts via modulation of hematopoietic stem and progenitor cells (HSPCs). Administration of β-glucan (prototypical trained-immunity-inducing agonist) to mice induced expansion of progenitors of the myeloid lineage, which was associated with elevated signaling by innate immune mediators, such as IL-1β and granulocyte-macrophage colony-stimulating factor (GM-CSF), and with adaptations in glucose metabolism and cholesterol biosynthesis. The trained-immunity-related increase in myelopoiesis resulted in a beneficial response to secondary LPS challenge and protection from chemotherapy-induced myelosuppression in mice. Therefore, modulation of myeloid progenitors in the bone marrow is an integral component of trained immunity, which to date, was considered to involve functional changes of mature myeloid cells in the periphery.
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“Studies have shown that TII occurs not only in mature myeloid cells, as previously believed, but also in immature progenitors, and thus can be long-lived [74,76].”
From Clonal hematopoiesis and inflammation – the perpetual cycle (2023) · cites this paper as [76]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Reshaping Data with the reshape Package
Wickham, H. (2007) · Journal of Statistical Software · doi:10.18637/jss.v021.i12 · Cited by 3,251
Trained immunity: A program of innate immune memory in health and– disease
Netea, M. G., Joosten, L. A. B., Latz, E., Mills, K. H. G., Natoli, G., Stunnenberg, H. G., O’Neill, L. A. J., & Xavier, R. J. (2016) · Science · doi:10.1126/science.aaf1098 · Cited by 2,768
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Cheng, S.-C., Quintin, J., Cramer, R. A., Shepardson, K. M., Saeed, S., Kumar, V., Giamarellos-Bourboulis, E. J., Martens, J. H. A., Rao, N. A., Aghajanirefah, A., et al. (2014) · Science · doi:10.1126/science.1250684 · Cited by 2,224
Self-citationThe mystery of membrane organization: composition, regulation and roles of lipid rafts
Sezgin, E., Levental, I., Mayor, S., & Eggeling, C. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.16 · Cited by 2,124
Wilson, A., Laurenti, E., Oser, G., van der Wath, R. C., Blanco-Bose, W., Jaworski, M., Offner, S., Dunant, C. F., Eshkind, L., Bockamp, E., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.048 · Cited by 1,908
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Metadata
- Authors
- Mitroulis, I., Ruppova, K., Wang, B., Chen, L.-S., Grzybek, M., Grinenko, T., Eugster, A., Troullinaki, M., Palladini, A., Kourtzelis, I., Chatzigeorgiou, A., Schlitzer, A., Beyer, M., Joosten, L. A. B., Isermann, B., Lesche, M., Petzold, A., Simons, K., Henry, I., Dahl, A., Schultze, J. L., Wielockx, B., Zamboni, N., Mirtschink, P., Coskun, Ü., Hajishengallis, G., Netea, M. G., & Chavakis, T.
- Affiliations
- Technische Universität Dresden (DE)
- University of Pennsylvania (US)
- Center for Regenerative Therapies Dresden (DE)
- Helmholtz Munich (DE)
- University of Bonn (DE)
- Radboud University Nijmegen (NL)
- Otto-von-Guericke-Universität Magdeburg (DE)
- Biotechnologisches Zentrum (DE)
- Max Planck Institute of Molecular Cell Biology and Genetics (DE)
- ETH Zurich (CH)
- Corresponding author
- Mitroulis, Ioannis
- Chavakis, Triantafyllos
- ORCID
- Mitroulis, Ioannis
- Ruppova, Klara
- Wang, Baomei
- Chen, Lan-Sun
- Grinenko, Tatyana
- Eugster, Anne
- Palladini, Alessandra
- Kourtzelis, Ioannis
- Chatzigeorgiou, Antonios
- Schlitzer, Andreas
- Beyer, Marc
- Joosten, Leo A.B.
- Isermann, Berend
- Lesche, Mathias
- Simons, Kai
- Henry, Ian
- Dahl, Andreas
- Schultze, Joachim L.
- Wielockx, Ben
- Zamboni, Nicola
- Mirtschink, Peter
- Coskun, Ünal
- Hajishengallis, George
- Netea, Mihai G.
- Chavakis, Triantafyllos
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 172
- Issue
- 1-2
- Pages
- 147-161.e12
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC5766828
- OpenAlex
- W2783037826
- Cited by
- 1,100
- References
- 67
- Citations by year
- 2026: 134 · 2025: 147 · 2024: 127 · 2023: 128 · 2022: 123 · 2021: 148 · 2020: 134 · 2019: 90 · 2018: 67
- FWCI
- 47.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Site cant be reached (submittedVersion, cc-by-nc-nd)
- DZNE Pub (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by-nc-nd)
- Radboud Repository (Radboud University) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-nd)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- ETH Zürich Research Collection
- Funders
- ERC (DEMETINL, #310372)
- Deutsche Forschungsgemeinschaft (CH279/5-1, TR-SFB127, SFB 854/B26N)
- NIH (DE024716, DE026152)
- German Federal Ministry of Education and Research
- Netherlands Association for Scientific Research
- Netherlands Heart Foundation (CVON2012-03)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- trained immunity, myelopoiesis, hematopoietic stem and progenitor cells, β-glucan, innate immunity, IL-1β, GM-CSF, glucose metabolism, cholesterol biosynthesis, lipopolysaccharide challenge, chemotherapy-induced myelosuppression, bone marrow, myeloid lineage
- MeSH terms
- Animals, Cells, Cultured, Immunity, Innate, Immunologic Memory, Male, Mice, Inbred C57BL, Granulocyte-Macrophage Colony-Stimulating Factor, Myeloid Progenitor Cells, Myelopoiesis, beta-Glucans, Mice, Interleukin-1beta
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