Species-specific Regulation of Toll-like Receptor 3 Genes in Men and Mice
Open accessAbstract
Toll-like receptor 3 (TLR3) belongs to a family of evolutionary conserved innate immune recognition molecules and recognizes double-stranded RNA, a molecular pattern associated with viral infections. Earlier studies suggested a differential expression pattern in men and mice; the molecular basis for this observation, however, was unknown. Here we demonstrate that species-specific differences in tissue expression and responses to lipopolysaccaride (LPS) coincide with the presence of different, evolutionary non-conserved promoter sequences in both species. Despite the overall unrelatedness of TLR3 promoter sequences, mRNA expression of both TLR3 orthologues was induced by interferons, particularly by interferon (IFN)-beta. The basal and IFN-beta-induced activation of promoters from both species largely depended on similar interferon regulatory factor (IRF) elements, which constitutively bound IRF-2 and recruited IRF-1 after stimulation. In murine macrophages, IFN-beta-induced TLR3 up-regulation required IFNAR1, STAT1, and in part IRF-1, but not the Janus kinase (Jak) family member Tyk2. We also show that LPS specifically up-regulates TLR3 expression in murine cells through the induction of autocrine/paracrine IFN-beta. In humans, however, IFN-beta-induced up-regulation of TLR3 was blocked by pretreatment with LPS, despite the efficient induction of IRF-1. Our findings reveal a mechanistic basis for the observed differences as well as similarities in TLR3 expression in men and mice. The IFN-beta-TLR3 link further suggests a role of TLR3 in innate and adaptive immune responses to viral infections. It will be interesting and important to clarify whether the observed differences in the transcriptional regulation of TLR3 influence innate immune responses in a species-specific manner.
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?
Previous studies found IRF2 activates transcription of some genes involved in the innate immune response.
“Previous studies found IRF2 activates transcription of some genes involved in the innate immune response (23, 44 -46).”
The citation lists haven’t been fetched yet
References 30 · Cited by 202
- Authors
- Heinz, S., Haehnel, V., Karaghiosoff, M., Schwarzfischer, L., Müller, M., Krause, S. W., & Rehli, M.
- Affiliations
- University of Regensburg (DE)
- University of Vienna (AT)
- Corresponding author
- Rehli, Michael
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2003-06
- Volume
- 278
- Issue
- 24
- Pages
- 21502-21509
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W1996790111
- Cited by
- 202
- References
- 30
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3 · 2022: 4 · 2021: 12 · 2020: 5 · 2019: 10 · 2018: 3 · 2017: 8 · 2016: 7 · 2015: 9 · 2014: 11 · 2013: 5 · 2012: 13
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- TLR3, species-specific gene regulation, promoter, interferon-beta, interferon regulatory factors, IRF1, IRF2, IFNAR1, STAT1, lipopolysaccharide, double-stranded RNA, innate immunity, viral infection, macrophages, human-mouse comparison
- MeSH terms
- Animals, Base Sequence, Cell Nucleus, Cells, Cultured, DNA, DNA Mutational Analysis, DNA-Binding Proteins, Exons, Gene Expression Regulation, Humans, Lipopolysaccharides, Membrane Glycoproteins, Models, Genetic, Molecular Sequence Data, Monocytes, Phosphoproteins, Plasmids, Promoter Regions, Genetic, Protein-Tyrosine Kinases, Proteins, Receptors, Cell Surface, Repressor Proteins, RNA, Double-Stranded, RNA, Messenger, Species Specificity, Transcription Factors, Transcription, Genetic, Transfection, Signal Transduction, Up-Regulation, Interferon-beta, DNA, Complementary, Evolution, Molecular, Reverse Transcriptase Polymerase Chain Reaction, Interferon Regulatory Factor-2, Interferon Regulatory Factor-1, Toll-Like Receptors, Toll-Like Receptor 3, Mice, TYK2 Kinase
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