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.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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]
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
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
Self-citationmTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity
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
Fast and SNP-tolerant detection of complex variants and splicing in short reads
Wu, T. D., & Nacu, S. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq057 · Cited by 1,894
Quintin, J., Saeed, S., Martens, J. H. A., Giamarellos-Bourboulis, E. J., Ifrim, D. C., Logie, C., Jacobs, L., Jansen, T., Kullberg, B.-J., Wijmenga, C., et al. (2012) · Cell Host & Microbe · doi:10.1016/j.chom.2012.06.006 · Cited by 1,289
Self-citationSimsek, T., Kocabas, F., Zheng, J., DeBerardinis, R. J., Mahmoud, A. I., Olson, E. N., Schneider, J. W., Zhang, C. C., & Sadek, H. A. (2010) · Cell Stem Cell · doi:10.1016/j.stem.2010.07.011 · Cited by 1,101
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
Paul, F., Arkin, Y., Giladi, A., Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Winter, D., Lara-Astiaso, D., Gury, M., Weiner, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.013 · Cited by 1,082
Self-citationGlobal analysis of the yeast lipidome by quantitative shotgun mass spectrometry
Ejsing, C. S., Sampaio, J. L., Surendranath, V., Duchoslav, E., Ekroos, K., Klemm, R. W., Simons, K., & Shevchenko, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811700106 · Cited by 1,053
Self-citationDensely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis
Novershtern, N., Subramanian, A., Lawton, L. N., Mak, R. H., Haining, W. N., McConkey, M. E., Habib, N., Yosef, N., Chang, C. Y., Shay, T., et al. (2011) · Cell · doi:10.1016/j.cell.2011.01.004 · Cited by 942
Arts, R. J. W., Novakovic, B., ter Horst, R., Carvalho, A., Bekkering, S., Lachmandas, E., Rodrigues, F., Silvestre, R., Cheng, S.-C., Wang, S.-Y., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.10.008 · Cited by 930
Self-citationTakubo, K., Nagamatsu, G., Kobayashi, C. I., Nakamura‐Ishizu, A., Kobayashi, H., Ikeda, E., Goda, N., Rahimi, Y., Johnson, R. S., Soga, T., et al. (2013) · Cell stem cell · doi:10.1016/j.stem.2012.10.011 · Cited by 864
Metabolic Regulation of Hematopoietic Stem Cells in the Hypoxic Niche
Suda, T., Takubo, K., & Semenza, G. L. (2011) · Cell Stem Cell · doi:10.1016/j.stem.2011.09.010 · Cited by 844
Toll-like Receptors on Hematopoietic Progenitor Cells Stimulate Innate Immune System Replenishment
Nagai, Y., Garrett, K. P., Ohta, S., Bahrun, U., Kouro, T., Akira, S., Takatsu, K., & Kincade, P. W. (2006) · Immunity · doi:10.1016/j.immuni.2006.04.008 · Cited by 833
A PML–PPAR-δ pathway for fatty acid oxidation regulates hematopoietic stem cell maintenance
Ito, K., Carracedo, A., Weiss, D., Arai, F., Ala, U., Avigan, D., Schafer, Z. T., Evans, R. M., Suda, T., Lee, C., et al. (2012) · Nature Medicine · doi:10.1038/nm.2882 · Cited by 768
ATP-Binding Cassette Transporters and HDL Suppress Hematopoietic Stem Cell Proliferation
Yvan‐Charvet, L., Pagler, T. A., Gautier, E. L., Avagyan, S., Siry, R., Han, S., Welch, C. L., Wang, N., Randolph, G. J., Snoeck, H. W., et al. (2010) · Science · doi:10.1126/science.1189731 · Cited by 724
Pietras, E. M., Reynaud, D., Kang, Y.-A., Carlin, D., Calero-Nieto, F. J., Leavitt, A. D., Stuart, J. M., Göttgens, B., & Passegué, E. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.05.003 · Cited by 723
Immunometabolic Pathways in BCG-Induced Trained Immunity
Arts, R. J. W., Carvalho, A., Rocca, C. L., Palma, C., Rodrigues, F. J. S., Silvestre, R., Kleinnijenhuis, J., Lachmandas, E., Gonçalves, L. G., Belinha, A., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.11.011 · Cited by 690
Self-citationPietras, E. M., Mirantes-Barbeito, C., Fong, S., Loeffler, D., Kovtonyuk, L. V., Zhang, S., Lakshminarasimhan, R., Chin, C. P., Techner, J.-M., Will, B., et al. (2016) · Nature Cell Biology · doi:10.1038/ncb3346 · Cited by 689
Passegué, E., Wagers, A. J., Giuriato, S., Anderson, W. C., & Weissman, I. L. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20050967 · Cited by 646
Exit from dormancy provokes DNA-damage-induced attrition in haematopoietic stem cells
Walter, D., Lier, A., Geiselhart, A., Thalheimer, F. B., Huntscha, S., Sobotta, M. C., Moehrle, B., Brocks, D., Bayindir, I., Kaschutnig, P., et al. (2015) · Nature · doi:10.1038/nature14131 · Cited by 619
Transcription factors in myeloid development: balancing differentiation with transformation
Rosenbauer, F., & Tenen, D. G. (2007) · Nature Reviews Immunology · doi:10.1038/nri2024 · Cited by 606 · cited 3×
“These mediators act on HSPCs and myeloid progenitors driving myelopoiesis via inducing transcriptional networks involving transcription factors (TFs) and expression of myeloid-lineage-specific genes (Boettcher and Manz, 2017; Rosenbauer and Tenen, 2007).”
BackgroundMurphy, A. J., Akhtari, M., Tolani, S., Pagler, T., Bijl, N., Kuo, C.-L., Wang, M., Sanson, M., Abramowicz, S., Welch, C., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57559 · Cited by 521
Membrane lipidome of an epithelial cell line
Sampaio, J. L., Gerl, M. J., Klose, C. D., Ejsing, C. S., Beug, H., Simons, K., & Shevchenko, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019267108 · Cited by 500
Self-citationReprogramming mitochondrial metabolism in macrophages as an anti‐inflammatory signal
Mills, E. L., & O'Neill, L. A. J. (2015) · European Journal of Immunology · doi:10.1002/eji.201445427 · Cited by 454
Liebisch, G., Binder, M., Schifferer, R., Langmann, T., Schulz, B., & Schmitz, G. (2006) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2005.12.007 · Cited by 454
Awakening dormant haematopoietic stem cells
Trumpp, A., Essers, M. A. G., & Wilson, A. (2010) · Nature reviews. Immunology · doi:10.1038/nri2726 · Cited by 453
Winkler, I. G., Barbier, V., Nowlan, B., Jacobsen, R. N., Forristal, C. E., Patton, J. T., Magnani, J. L., & Lévesque, J.-P. (2012) · Nature Medicine · doi:10.1038/nm.2969 · Cited by 439
Reshaping Data with the reshape Package
Wickham, H. (2007) · Cited by 433
LipidXplorer: A Software for Consensual Cross-Platform Lipidomics
Herzog, R., Schuhmann, K., Schwudke, D., Sampaio, J. L., Bornstein, S. R., Schroeder, M., & Shevchenko, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029851 · Cited by 414
Herzog, R., Schwudke, D., Schuhmann, K., Sampaio, J. L., Bornstein, S. R., Schroeder, M., & Shevchenko, A. (2011) · Genome biology · doi:10.1186/gb-2011-12-1-r8 · Cited by 413
Fuhrer, T., Heer, D., Begemann, B., & Zamboni, N. (2011) · Analytical Chemistry · doi:10.1021/ac201267k · Cited by 407
Self-citationM-CSF instructs myeloid lineage fate in single haematopoietic stem cells
Mossadegh‐Keller, N., Sarrazin, S., Kandalla, P. K., Espinosa, L., Stanley, E. R., Nutt, S. L., Moore, J. T., & Sieweke, M. H. (2013) · Nature · doi:10.1038/nature12026 · Cited by 392
Cell-State-Specific Metabolic Dependency in Hematopoiesis and Leukemogenesis
Wang, Y., Israelsen, W. J., Lee, D., Yu, V. W. C., Jeanson, N. T., Clish, C. B., Cantley, L. C., Heiden, M. G. V., & Scadden, D. T. (2014) · Cell · doi:10.1016/j.cell.2014.07.048 · Cited by 367
CD41 expression marks myeloid-biased adult hematopoietic stem cells and increases with age
Gekas, C., & Graf, T. (2013) · Blood · doi:10.1182/blood-2012-09-457929 · Cited by 339
Surma, M. A., Herzog, R., Vasilj, A., Klose, C. D., Christinat, N., Morin‐Rivron, D., Simons, K., Masoodi, M., & Sampaio, J. L. (2015) · European Journal of Lipid Science and Technology · doi:10.1002/ejlt.201500145 · Cited by 285
Self-citationTakizawa, H., Fritsch, K., Kovtonyuk, L. V., Saito, Y., Yakkala, C., Jacobs, K., Ahuja, A. K., Lopes, M., Hausmann, A., Hardt, W., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.06.013 · Cited by 282
Regulation of Inflammation- and Infection-Driven Hematopoiesis
Boettcher, S., & Manz, M. G. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.01.004 · Cited by 272
Harnessing the beneficial heterologous effects of vaccination
Goodridge, H. S., Ahmed, S., Curtis, N. C., Kollmann, T. R., Levy, O., Netea, M. G., Pollard, A. J., van Crevel, R., & Wilson, C. B. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.43 · Cited by 260
Self-citationvan der Meer, J. W., Barza, M. J., Wolff, S. M., & Dinarello, C. A. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.5.1620 · Cited by 243
Cell Membranes: The Lipid Perspective
Coskun, Ü., & Simons, K. (2011) · Structure · doi:10.1016/j.str.2011.10.010 · Cited by 220
Self-citationEffects of High-Dose Oral Insulin on Immune Responses in Children at High Risk for Type 1 Diabetes
Bonifacio, E. E., Ziegler, A., KLINGENSMITH, G. J., Schober, E., Bingley, P. J., Rottenkolber, M., Theil, A., Eugster, A., Puff, R., Peplow, C., et al. (2015) · JAMA · doi:10.1001/jama.2015.2928 · Cited by 198
Self-citationThe Cellular and Molecular Basis of Translational Immunometabolism
Norata, G. D., Caligiuri, G., Chavakis, T., Matarese, G., Netea, M. G., Nicoletti, A., O'Neill, L. A. J., & Marelli‐Berg, F. M. (2015) · Immunity · doi:10.1016/j.immuni.2015.08.023 · Cited by 197
Self-citationJensen, K. J., Larsen, N., Biering-Sørensen, S. R., Andersen, A., Eriksen, H. B., Monteiro, I., HOUGAARD, D. M., Aaby, P., Netea, M. G., Flanagan, K. L., et al. (2014) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiu508 · Cited by 189
Self-citationGATA-3 is required for early T lineage progenitor development
Hosoya, T., Kuroha, T., Moriguchi, T., Cummings, D. R., Maillard, I. P., Lim, K.-C., & Engel, J. D. (2009) · The Journal of Experimental Medicine · doi:10.1084/jem.20090934 · Cited by 154
BCG-induced protection: Effects on innate immune memory
Netea, M. G., & van Crevel, R. (2014) · Seminars in Immunology · doi:10.1016/j.smim.2014.09.006 · Cited by 144
Self-citationMicroglial activation underlies cerebellar deficits produced by repeated cannabis exposure
Cutando, L., Busquets-García, A., Puighermanal, E., Gomis‐González, M., Delgado-Garcia, J. M., Gruart, A., Maldonado, R. J., & Ozaita, A. (2013) · Journal of Clinical Investigation · doi:10.1172/jci67569 · Cited by 123
Zhang, H., Rodrı́guez, S., Wang, L., Wang, S., Serezani, C. H., Kapur, R., Cardoso, A. A., & Carlesso, N. (2016) · Stem Cell Reports · doi:10.1016/j.stemcr.2016.05.002 · Cited by 122
GATA-3 regulates the self-renewal of long-term hematopoietic stem cells
Frelin, C., Herrington, R., Janmohamed, S., Barbara, M., Tran, G., Paige, C. J., Benveniste, P. M., Zúñiga‐Pflücker, J. C., Souabni, A., Busslinger, M., et al. (2013) · Nature Immunology · doi:10.1038/ni.2692 · Cited by 113
Chen, C., Liu, Y., Liu, Y., & Zheng, P. (2010) · Journal of Clinical Investigation · doi:10.1172/jci43873 · Cited by 105
Secreted protein Del-1 regulates myelopoiesis in the hematopoietic stem cell niche
Mitroulis, I., Chen, L., Singh, R. P., Kourtzelis, I., Economopoulou, M., Kajikawa, T., Troullinaki, M., Ziogas, A., Ruppova, K., Hosur, K. B., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci92571 · Cited by 101
Self-citationRegulation of stress-induced hematopoiesis
Zhao, J. L., & Baltimore, D. (2015) · Current Opinion in Hematology · doi:10.1097/moh.0000000000000149 · Cited by 97
Primed and ready: understanding lineage commitment through single cell analysis
Nimmo, R. A., May, G. E., & Enver, T. (2015) · Trends in Cell Biology · doi:10.1016/j.tcb.2015.04.004 · Cited by 92
Yáñez, A., Megías, J., O’Connor, J., Gozalbo, D., & Gil, M. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024761 · Cited by 61
Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells
McDavid, A., Dennis, L., Danaher, P., Finak, G., Krouse, M., Wang, A., Webster, P., Beechem, J., & Gottardo, R. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003696 · Cited by 58
Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors
Yang, J., Tanaka, Y., Seay, M., Li, Z., Jin, J., Garmire, L. X., Zhu, X., Taylor, A., Li, W., Euskirchen, G. M., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1214 · Cited by 42
Integration of cytokine and transcription factor signals in hematopoietic stem cell commitment
Sarrazin, S., & Sieweke, M. H. (2011) · Seminars in Immunology · doi:10.1016/j.smim.2011.08.011 · Cited by 34
Genetic control of quiescence in hematopoietic stem cells
Yamada, T., Park, C. S., & Lacorazza, H. D. (2013) · Cell Cycle · doi:10.4161/cc.25416 · Cited by 32
Kaul, S., Xu, H., Zabalawi, M., Maruko, E. C., Fulp, B. E., Bluemn, T., Brzoza‐Lewis, K. L., Gerelus, M., Weerasekera, R., Kallinger, R., et al. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.116.004401 · Cited by 24
Nakai, S., & Hirai, Y. (1989) · Biotherapy · doi:10.1007/bf02171010 · Cited by 17
Musso, G. A., Mosimann, C., Panáková, D., Burger, A., Zhou, Y., Zon, L. I., & MacRae, C. A. (2015) · Genomics Data · doi:10.1016/j.gdata.2015.09.015 · Cited by 8
Cited by
Sorted by citations
Defining trained immunity and its role in health and disease
Netea, M. G., Domínguez-Andrés, J., Barreiro, L. B., Chavakis, T., Divangahi, M., Fuchs, E., Joosten, L. A. B., van der Meer, J. W. M., Mhlanga, M. M., Mulder, W. J. M., et al. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0285-6 · Cited by 2,690
Self-citationDiversity, Mechanisms, and Significance of Macrophage Plasticity
Locati, M., Curtale, G., & Mantovani, A. (2020) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012718 · Cited by 2,199
Local and systemic mechanisms linking periodontal disease and inflammatory comorbidities
Hajishengallis, G., & Chavakis, T. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-00488-6 · Cited by 1,871
Self-citationArts, R. J. W., Moorlag, S. J. C. F. M., Novakovic, B., Li, Y., Wang, S.-Y., Oosting, M., Kumar, V., Xavier, R. J., Wijmenga, C., Joosten, L. A. B., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2017.12.010 · Cited by 1,217
Self-citationWestern Diet Triggers NLRP3-Dependent Innate Immune Reprogramming
Christ, A., Günther, P. S., Lauterbach, M., Duewell, P., Biswas, D., Pelka, K., Scholz, C. J., Oosting, M., Händler, K., Bassler, K. E., et al. (2018) · Cell · doi:10.1016/j.cell.2017.12.013 · Cited by 1,133
Self-citation
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
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
