Transcriptional control of the inflammatory response
Abstract
Inflammation is a multicomponent response to tissue stress, injury and infection, and a crucial point of its control is at the level of gene transcription. The inducible inflammatory gene expression programme--such as that triggered by Toll-like receptor signalling in macrophages--is comprised of several coordinately regulated sets of genes that encode key functional programmes; these are controlled by three classes of transcription factors, as well as various transcriptional co-regulators and chromatin modifications. Here, we discuss the mechanisms of and the emerging principles in the transcriptional regulation of inflammatory responses in diverse physiological settings.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
H2AK119 ubiquitylation and H3K27 trimethylation inhibit expression of TLR-signal-targeted genes.
“H2AK119 ubiquitylation and H3K27 trimethylation inhibit the expression of TLR-signal-targeted genes [127]”
From Transition from inflammation to proliferation: a critical step during wound healing (2016) · cites this paper as [127]
TLR-4 stimulation induces a rapid and robust transcriptional response which involves genes that regulate metabolic reprogramming.
“TLR-4 stimulation induces a rapid and robust transcriptional response which involves genes that regulate metabolic reprogramming (Medzhitov and Horng, 2009).”
From TET2 Regulates the Neuroinflammatory Response in Microglia (2019) · cites this paper as Medzhitov and Horng, 2009
Cites
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883 · see citing works
Interleukin-10 and the Interleukin-10 Receptor
Moore, K. W., de Waal Malefyt, R., Coffman, R. L., & O'Garra, A. (2001) · Annual Review of Immunology · doi:10.1146/annurev.immunol.19.1.683 · Cited by 6,737 · see citing works
Origin and physiological roles of inflammation
Medzhitov, R. (2008) · Nature · doi:10.1038/nature07201 · Cited by 6,618 · see citing works
Self-citationChromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098 · see citing works
Macrophage-specific PPARγ controls alternative activation and improves insulin resistance
Odegaard, J. I., Ricardo-Gonzalez, R. R., Goforth, M. H., Morel, C. R., Subramanian, V., Mukundan, L., Eagle, A. R., Vats, D., Brombacher, F., Ferrante, A. W., et al. (2007) · Nature · doi:10.1038/nature05894 · Cited by 2,107 · see citing works
Bernstein, B. E., Meissner, A., & Lander, E. S. (2007) · Cell · doi:10.1016/j.cell.2007.01.033 · Cited by 2,086 · see citing works
Negative regulation of Toll-like receptor-mediated immune responses
Liew, F. Y., Xu, D., Brint, E. K., & O'Neill, L. A. J. (2005) · Nature Reviews Immunology · doi:10.1038/nri1630 · Cited by 1,509 · see citing works
De Santa, F., Totaro, M. G., Prosperini, E., Notarbartolo, S., Testa, G., & Natoli, G. (2007) · Cell · doi:10.1016/j.cell.2007.08.019 · Cited by 965 · see citing works
Litvak, V., Ramsey, S. A., Rust, A. G., Zak, D. E., Kennedy, K. A., Lampano, A. E., Nykter, M., Shmulevich, I., & Aderem, A. (2009) · Nature Immunology · doi:10.1038/ni.1721 · Cited by 295 · see citing works
Hirotani, T., Lee, P. Y., Kuwata, H., Yamamoto, M., Matsumoto, M., Kawase, I., Akira, S., & Takeda, K. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.6.3650 · Cited by 167 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
From Monocytes to M1/M2 Macrophages: Phenotypical vs. Functional Differentiation
Italiani, P., & Boraschi, D. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00514 · Cited by 2,067 · see citing works
Transition from inflammation to proliferation: a critical step during wound healing
Landén, N. X., Li, D., & Ståhle, M. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2268-0 · Cited by 1,980 · see citing works
“, H2AK119 ubiquitylation and H3K27 trimethylation inhibit the expression of TLR-signal-targeted genes [127].”
BackgroundNF-κB, Inflammation, and Metabolic Disease
Baker, R. G., Hayden, M. S., & Ghosh, S. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2010.12.008 · Cited by 1,952 · see citing works
Suppression of inflammation by a synthetic histone mimic
Nicodeme, E., Jeffrey, K. L., Schaefer, U., Beinke, S., Dewell, S., Chung, C.-W., Chandwani, R., Marazzi, I., Wilson, P., Coste, H., et al. (2010) · Nature · doi:10.1038/nature09589 · Cited by 1,563 · see citing works
FGF/FGFR signaling in health and disease
Xie, Y., Su, N., Yang, J., Tan, Q., Huang, S., Jin, M., Ni, Z., Zhang, B., Zhang, D., Luo, F., et al. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00222-7 · Cited by 904 · see citing works
Angiotensin II revisited: new roles in inflammation, immunology and aging
Benigni, A., Cassis, P., & Remuzzi, G. (2010) · EMBO Molecular Medicine · doi:10.1002/emmm.201000080 · Cited by 757 · see citing works
Electrophilic properties of itaconate and derivatives regulate the IκBζ–ATF3 inflammatory axis
Bambouskova, M., Gorvel, L., Lampropoulou, V., Sergushichev, A., Loginicheva, E., Johnson, K., Korenfeld, D., Mathyer, M. E., Kim, H., Huang, L.-H., et al. (2018) · Nature · doi:10.1038/s41586-018-0052-z · Cited by 713 · see citing works
Kaikkonen, M. U., Spann, N. J., Heinz, S., Romanoski, C. E., Allison, K. A., Stender, J. D., Chun, H. B., Tough, D. F., Prinjha, R. K., Benner, C., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.07.010 · Cited by 672 · see citing works
Inflammation and cardiovascular disease: From mechanisms to therapeutics
Alfaddagh, A., Martin, S. S., Leucker, T. M., Michos, E. D., Blaha, M. J., Lowenstein, C. J., Jones, S. R., & Toth, P. P. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100130 · Cited by 473 · see citing works
DNA Damage-Mediated Induction of a Chemoresistant Niche
Gilbert, L. A., & Hemann, M. T. (2010) · Cell · doi:10.1016/j.cell.2010.09.043 · Cited by 428 · see citing works
Kinase inhibition in autoimmunity and inflammation
Zarrin, A. A., Bao, K., Lupardus, P., & Vucic, D. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0082-8 · Cited by 431 · see citing works
Chen, X., Barozzi, I., Termanini, A., Prosperini, E., Recchiuti, A., Dalli, J., Mietton, F., Matteoli, G., Hiebert, S., & Natoli, G. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121131109 · Cited by 397 · see citing works
Oishi, Y., Spann, N. J., Link, V. M., Muse, E. D., Strid, T., Edillor, C., Kolar, M. J., Matsuzaka, T., Hayakawa, S., Tao, J., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.11.009 · Cited by 342 · see citing works
Rubin, A. J., Parker, K. R., Satpathy, A. T., Qi, Y., Wu, B., Ong, A. J., Mumbach, M. R., Ji, A. L., Kim, D. S., Cho, S. W., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.022 · Cited by 314 · see citing works
Qiao, Y., Giannopoulou, E. G., Chan, C. H., Park, S.-H., Gong, S., Chen, J., Hu, X., Elemento, O., & Ivashkiv, L. B. (2013) · Immunity · doi:10.1016/j.immuni.2013.08.009 · Cited by 330 · see citing works
Spatial confinement downsizes the inflammatory response of macrophages
Jain, N., & Vogel, V. (2018) · Nature Materials · doi:10.1038/s41563-018-0190-6 · Cited by 271 · see citing works
Uhlenhaut, N. H., Barish, G. D., Yu, R. T., Downes, M., Karunasiri, M., Liddle, C., Schwalie, P., Hübner, N., & Evans, R. M. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.013 · Cited by 265 · see citing works
Relton, C. L., & Davey Smith, G. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000356 · Cited by 254 · see citing works
Functional inference of gene regulation using single-cell multi-omics
Kartha, V. K., Duarte, F. M., Hu, Y., Ma, S., Chew, J. G., Lareau, C. A., Earl, A., Burkett, Z. D., Kohlway, A. S., Lebofsky, R., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100166 · Cited by 224 · see citing works
Jain, N., Moeller, J., & Vogel, V. (2019) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-121224 · Cited by 237 · see citing works
Immune senescence, epigenetics and autoimmunity
Ray, D., & Yung, R. (2018) · Clinical Immunology · doi:10.1016/j.clim.2018.04.002 · Cited by 219 · see citing works
Aging impairs both primary and secondary RIG-I signaling for interferon induction in human monocytes
Molony, R. D., Nguyen, J. T., Kong, Y., Montgomery, R. R., Shaw, A. C., & Iwasaki, A. (2017) · Science Signaling · doi:10.1126/scisignal.aan2392 · Cited by 154 · see citing works
Role of Epigenetics in Inflammation-Associated diseases
Shanmugam, M. K., & Sethi, G. (2013) · Subcellular Biochemistry · doi:10.1007/978-94-007-4525-4_27 · Cited by 141 · see citing works
Cheng, F., Lienlaf, M., Perez-Villarroel, P., Wang, H.-W., Lee, C., Woan, K., Woods, D., Knox, T., Bergman, J., Pinilla-Ibarz, J., et al. (2014) · Molecular Immunology · doi:10.1016/j.molimm.2014.02.019 · Cited by 140 · see citing works
Piers, T. M., Cosker, K., Mallach, A., Johnson, G. T., Guerreiro, R., Hardy, J., & Pocock, J. M. (2020) · The FASEB Journal · doi:10.1096/fj.201902447r · Cited by 135 · see citing works
Leus, N. G. J., van der Wouden, P. E., van den Bosch, T., Hooghiemstra, W. T. R., Ourailidou, M. E., Kistemaker, L. E. M., Bischoff, R., Gosens, R., Haisma, H. J., & Dekker, F. J. (2016) · Biochemical Pharmacology · doi:10.1016/j.bcp.2016.03.010 · Cited by 131 · see citing works
ATF3 Is a Key Regulator of Macrophage IFN Responses
Labzin, L. I., Schmidt, S. V., Masters, S. L., Beyer, M., Krebs, W., Klee, K., Stahl, R., Lütjohann, D., Schultze, J. L., Latz, E., et al. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1500204 · Cited by 124 · see citing works
Gravel, M., Béland, L.-C., Soucy, G., Abdelhamid, E., Rahimian, R., Gravel, C., & Kriz, J. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0854-15.2016 · Cited by 117 · see citing works
Cheng, F., Lienlaf, M., Wang, H.-W., Perez-Villarroel, P., Lee, C., Woan, K., Rock-Klotz, J., Sahakian, E., Woods, D., Pinilla-Ibarz, J., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1302778 · Cited by 106 · see citing works
TET2 Regulates the Neuroinflammatory Response in Microglia
Carrillo-Jimenez, A., Deniz, Ö., Niklison-Chirou, M. V., Ruiz, R., Bezerra-Salomão, K., Stratoulias, V., Amouroux, R., Yip, P. K., Vilalta, A., Cheray, M., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.013 · Cited by 104 · see citing works
Type I interferons and endoplasmic reticulum stress in health and disease
(2020) · International Review of Cell and Molecular Biology · doi:10.1016/bs.ircmb.2019.10.004 · Cited by 83 · see citing works
A Perspective of AMD Through the Eyes of Immunology
Copland, D. A., Theodoropoulou, S., Liu, J., & Dick, A. D. (2018) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.18-23893 · Cited by 66 · see citing works
Regulation of mRNA stability by CCCH-type zinc-finger proteins in immune cells
Maeda, K., & Akira, S. (2017) · International Immunology · doi:10.1093/intimm/dxx015 · Cited by 64 · see citing works
The Activation of IL-1-Induced Enhancers Depends on TAK1 Kinase Activity and NF-κB p65
Jurida, L., Soelch, J., Bartkuhn, M., Handschick, K., Müller, H., Newel, D., Weber, A., Dittrich-Breiholz, O., Schneider, H., Bhuju, S., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.01.001 · Cited by 51 · see citing works
MicroRNAs As Novel Biomarkers and Potential Therapeutic Options for Inflammatory Cardiomyopathy
Aleshcheva, G., Baumeier, C., Harms, D., Bock, C.-T., Escher, F., & Schultheiss, H.-P. (2023) · ESC Heart Failure · doi:10.1002/ehf2.14523 · Cited by 17 · see citing works
Fu, R., Zu, S.-J., Liu, Y.-J., Li, J.-C., Dang, W.-Z., Liao, L.-P., Liu, L.-P., Chen, P.-Y., Huang, H.-M., Wu, K.-H., et al. (2022) · Bioengineered · doi:10.1080/21655979.2022.2066756 · Cited by 12 · see citing works
- Authors
- Medzhitov, R., & Horng, T.
- Affiliations
- Howard Hughes Medical Institute (US)
- Harvard University (US)
- Venue
- Nature Reviews Immunology
- Published
- 2009-10
- Volume
- 9
- Issue
- 10
- Pages
- 692-703
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W2090602346
- Cited by
- 1,035
- References
- 10
- Citations by year
- 2026: 31 · 2025: 36 · 2024: 45 · 2023: 56 · 2022: 67 · 2021: 60 · 2020: 68 · 2019: 61 · 2018: 74 · 2017: 80 · 2016: 76 · 2015: 69 · 2014: 69 · 2013: 80 · 2012: 62
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › NF-κB Signaling Pathways
- Keywords
- transcriptional regulation, inflammation, macrophages, gene expression, Toll-like receptor signaling, transcription factors, transcriptional coregulators, chromatin modification
- MeSH terms
- Animals, Chromatin, Gene Expression Regulation, Histones, Humans, Inflammation, Lipopolysaccharides, Protein Kinases, Transcription Factors, Signal Transduction, Cytokines
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