Innate immunity serves as the first line of defence against invading pathogens such as bacteria and viruses1. Toll-like receptors (TLRs) are examples of innate immune receptors, which sense specific molecular patterns from pathogens and activate immune responses2. TLR9 recognizes bacterial and viral DNA containing the cytosine–phosphate–guanine (CpG) dideoxynucleotide motif3,4. The molecular basis by which CpG-containing DNA (CpG-DNA) elicits immunostimulatory activity via TLR9 remains to be elucidated. Here we show the crystal structures of three forms of TLR9: unliganded, bound to agonistic CpG-DNA, and bound to inhibitory DNA (iDNA). Agonistic-CpG-DNA-bound TLR9 formed a symmetric TLR9–CpG-DNA complex with 2:2 stoichiometry, whereas iDNA-bound TLR9 was a monomer. CpG-DNA was recognized by both protomers in the dimer, in particular by the amino-terminal fragment (LRRNT–LRR10) from one protomer and the carboxy-terminal fragment (LRR20–LRR22) from the other. The iDNA, which formed a stem-loop structure suitable for binding by intramolecular base pairing, bound to the concave surface from LRR2–LRR10. This structure serves as an important basis for improving our understanding of the functional mechanisms of TLR9.
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Protein Data Bank
The coordinates and structure-factor data of horse TLR9 (unliganded form), TLR9–DNA1668_12mer, TLR9–iDNA4084, bovine TLR9–DNA1668_12mer, mouse TLR9 (unliganded form), TLR9–iDNA4084 (form1), TLR9–iDNA4084 (form2) and TLR9–iDNA_super have been deposited in the Protein Data Bank under the accession numbers 3WPB, 3WPC, 3WPD, 3WPE, 3WPF, 3WPG, 3WPH and 3WPI, respectively.
Janeway, C. A., Jr & Medzhitov, R. Innate immune recognition. Annu. Rev. Immunol. 20, 197–216 (2002)
Akira, S. & Takeda, K. Toll-like receptor signalling. Nature Rev. Immunol. 4, 499–511 (2004)
Bauer, S. et al. Human TLR9 confers responsiveness to bacterial DNA via species-specific CpG motif recognition. Proc. Natl Acad. Sci. USA 98, 9237–9242 (2001)
Hemmi, H. et al. A Toll-like receptor recognizes bacterial DNA. Nature 408, 740–745 (2000)
Krieg, A. M. et al. CpG motifs in bacterial DNA trigger direct B-cell activation. Nature 374, 546–549 (1995)
Ewald, S. E. et al. Nucleic acid recognition by Toll-like receptors is coupled to stepwise processing by cathepsins and asparagine endopeptidase. J. Exp. Med. 208, 643–651 (2011)
Sepulveda, F. E. et al. Critical role for asparagine endopeptidase in endocytic Toll-like receptor signaling in dendritic cells. Immunity 31, 737–748 (2009)
Park, B. et al. Proteolytic cleavage in an endolysosomal compartment is required for activation of Toll-like receptor 9. Nature Immunol. 9, 1407–1414 (2008)
Ewald, S. E. et al. The ectodomain of Toll-like receptor 9 is cleaved to generate a functional receptor. Nature 456, 658–662 (2008)
Onji, M. et al. An essential role for the N-terminal fragment of Toll-like receptor 9 in DNA sensing. Nature Commun. 4, 1949 (2013)
Lenert, P. S. Classification, mechanisms of action, and therapeutic applications of inhibitory oligonucleotides for Toll-like receptors (TLR) 7 and 9. Mediators Inflamm. 2010, 986596 (2010)
Jin, M. S. et al. Crystal structure of the TLR1–TLR2 heterodimer induced by binding of a tri-acylated lipopeptide. Cell 130, 1071–1082 (2007)
Kang, J. Y. et al. Recognition of lipopeptide patterns by Toll-like receptor 2-Toll-like receptor 6 heterodimer. Immunity 31, 873–884 (2009)
Liu, L. et al. Structural basis of toll-like receptor 3 signaling with double-stranded RNA. Science 320, 379–381 (2008)
Park, B. S. et al. The structural basis of lipopolysaccharide recognition by the TLR4-MD-2 complex. Nature 458, 1191–1195 (2009)
Tanji, H., Ohto, U., Shibata, T., Miyake, K. & Shimizu, T. Structural reorganization of the Toll-like receptor 8 dimer induced by agonistic ligands. Science 339, 1426–1429 (2013)
Yoon, S. I. et al. Structural basis of TLR5-flagellin recognition and signaling. Science 335, 859–864 (2012)
Kubarenko, A. V. et al. A naturally occurring variant in human TLR9, P99L, is associated with loss of CpG oligonucleotide responsiveness. J. Biol. Chem. 285, 36486–36494 (2010)
Peter, M. E., Kubarenko, A. V., Weber, A. N. & Dalpke, A. H. Identification of an N-terminal recognition site in TLR9 that contributes to CpG-DNA-mediated receptor activation. J. Immunol. 182, 7690–7697 (2009)
Ho, K. L. et al. MeCP2 binding to DNA depends upon hydration at methyl-CpG. Mol. Cell 29, 525–531 (2008)
Otwinowski, Z. & Minor, W. Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol. 276, 307–326 (1997)
Battye, T. G., Kontogiannis, L., Johnson, O., Powell, H. R. & Leslie, A. G. iMOSFLM: a new graphical interface for diffraction-image processing with MOSFLM. Acta Crystallogr. D 67, 271–281 (2011)
Vagin, A. & Teplyakov, A. Molecular replacement with MOLREP. Acta Crystallogr. D 66, 22–25 (2010)
Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D 60, 2126–2132 (2004)
Murshudov, G. N., Vagin, A. A. & Dodson, E. J. Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr. D 53, 240–255 (1997)
Adams, P. D. et al. PHENIX: building new software for automated crystallographic structure determination. Acta Crystallogr. D 58, 1948–1954 (2002)
Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D 66, 12–21 (2010)
DeLano, W. L. The PyMOL Molecular Graphics System. DeLano Scientific LLC. http://www.pymol.org (2008)
Schuck, P. Size-distribution analysis of macromolecules by sedimentation velocity ultracentrifugation and lamm equation modeling. Biophys. J. 78, 1606–1619 (2000)
Muta, T. & Takeshige, K. Essential roles of CD14 and lipopolysaccharide-binding protein for activation of toll-like receptor (TLR)2 as well as TLR4 reconstitution of TLR2- and TLR4-activation by distinguishable ligands in LPS preparations. FEBS J. 268, 4580–4589 (2001)
Xu, C., Bian, C., Lam, R., Dong, A. & Min, J. The structural basis for selective binding of non-methylated CpG islands by the CFP1 CXXC domain. Nat. Commun. 2, 227 (2011)
Arita, K., Ariyoshi, M., Tochio, H., Nakamura, Y. & Shirakawa, M. Recognition of hemi-methylated DNA by the SRA protein UHRF1 by a base-flipping mechanism. Nature 455, 818–821 (2008)
Avvakumov, G. V., Walker, J. R. & Xue, S. Li, Y. Duan, S., Bronner, C., Arrowsmith, C. H. & Dhe-Paganon, S. Structural basis for recognition of hemi-methylated DNA by the SRA domain of human UHRF1. Nature 455, 822–825 (2008)
Hashimoto, H., Horton, J. R., Zhang, X. & Cheng, X. The SRA domain of UHRF1 flips 5-methylcytosine out of the DNA helix. Nature 455, 826–829 (2008)
We thank the beamline staff members at the Photon Factory and SPring-8 for their assistance with data collection. This work was supported by a Grant-in-Aid from the Japanese Ministry of Education, Culture, Sports, Science, and Technology (U.O., S.U., K.M. and T.S.); the JSPS Japanese–German Graduate Externship (S.U.); the Senri-Life Science Foundation (S.U.); the Takeda Science Foundation (U.O. and T.S.); and the Mochida Memorial Foundation for Medical and Pharmaceutical Research (U.O.).
The authors declare no competing financial interests.
Extended data figures and tables
Sequence alignments are displayed for each LRR module. The agonist DNA interfaces 1 and 2 deduced from the EcTLR9–DNA1668_12mer complex are indicated by blue and yellow highlighting, respectively. The antagonist DNA interface deduced from the EcTLR9–iDNA4084 complex is indicated with boxes. The protein–protein interface in the EcTLR9–DNA1668_12mer complex is indicated by bold orange bars below each LRR module. Alignments were performed using Clustal Omega software (EMBL-European Bioinformatics Institute). Residues are coloured to indicate the degree of similarity: red residues are those with the highest similarity, followed by green, blue and black (lowest similarity).
a, DNA1668_12mer retains agonistic activity to TLR9. The NF-κB activation of wild-type mouse TLR9 induced by DNA1668 (TCCATGACGTTCCTGATGCT), DNA1668_12mer (CATGACGTTCCT), DNA1668 or DNA1668_12mer with a CpG to GpC inversion (DNA1668_GC, DNA1668_12mer_GC). DNAs were all complexed with N-[1-(2,3-Dioleoyloxy)propyl]-N, N, N-trimethylammonium methyl-sulphate (DOTAP) and added at concentration of 1 μM. The activities were analysed with an NF-κB-dependent luciferase reporter assay using HEK293T cells co-expressing mouse TLR9 and mouse Unc93B1. A two-tailed t-test was used to determine the statistical significance of differences between control (Ctrl) and stimulated cells, or between each group. **P < 0.01. Data from three independent experiments are shown. b, Horse and bovine TLR9 responses against agonistic and inhibitory DNAs. The NF-κB activation of wild-type horse (left) or bovine (right) TLR9 induced by indicated DNAs. The activities were analysed with an NF-κB-dependent luciferase reporter assay using HEK293T cells co-expressing horse or bovine TLR9 and human Unc93B1. The concentration of agonistic DNAs (DNA1668, DNA1668_GC and DNA1668_met) and inhibitory DNAs (iDNA4084 and iDNA_super) were 10 μM and 1 μM, respectively. Data represent the mean fold induction of NF-κB activity +s.d. (n = 3). A two-tailed t-test was used to determine the statistical significance of differences between control (Ctrl) and stimulated cells, or between each group. **P < 0.01. Data from three independent experiments are shown.
a, b, The oligomerization states of EcTLR9 with an unprocessed Z-loop (a) or a processed Z-loop (b) were analysed by SV–AUC at various concentrations of TLR9–DNA1668_12mer (equimolar). The weight-average sedimentation coefficients (Sw) were plotted against TLR9–DNA1668_12mer concentration to determine the Kd value for the dimerization. The dissociation constant for the dimerization of the processed TLR9 is estimated to be 20 μM.
a–e, The Fo–Fc omit difference electron densities of DNA1668_12mer bound to EcTLR9 (a) and BtTLR9 (b), iDNA4084 bound to EcTLR9 (c) and MmTLR9 (d), and iDNA_super bound to MmTLR9 (e) contoured at the 3.0σ level. The residues coloured blue in the sequence are not visible in the electron density map. The core hexamer could be unambiguously modelled into the continuous electron density map in the EcTLR9–DNA1668_12mer and BtTLR9–DNA1668_12mer complexes, whereas flanking bases were obscure or not visible. The A5–T12 loop connecting the base-paired region of iDNA_super was not visible in the electron density map, whereas the G4–A6 sequence of iDNA4084 was well defined.
a, Monomer structure of EcTLR9, derived from the EcTLR9–DNA1668_12mer complex. The structure and binding mode of TLR9 are markedly different from those of other CpG-binding proteins20,31,32,33,34. b, Monomer structure of human TLR8, derived from the human TLR8–CL097 (2-(ethoxymethyl)-1H-imidazo[4,5-c]quinolin-4-amine) complex (PDB ID: 3W3J)16. The Z-loops in TLR9 and TLR8 are oriented differently with respect to the concave face of TLR and engage in different interactions with it. The latter half of the Z-loop of TLR8 extends towards the N-terminus, whereas the Z-loop of TLR9 extends towards the C-terminus to interact with LRR15–21. TLR8 has three ordered N-glycans attached to Asn293, Asn511 and Asn590 that project into the inner space of the ring structure, whereas EcTLR9 has only one N-glycan attached to Asn731 that projects inward. As a result, the ring structure of TLR9 has more unoccupied inner space than that of TLR8, an arrangement that is suitable for ligand binding on the concave interior surface. c, Superposition of the overall ligand-induced dimer structures of EcTLR9 (DNA1668_12mer complex, green) and human TLR8 (CL097 complex, purple) by PyMol28, yielding an root-mean-square deviation (r.m.s.d.) value of 2.3 Å. d, Superposition of the overall dimer structures of EcTLR9 (DNA1668_12mer complex, green) and BtTLR9 (DNA1668_12mer complex, purple) by PyMol28, yielding an r.m.s.d. value of 0.7 Å. e, Magnified view of the CpG-binding groove of EcTLR9 and BtTLR9. The amino acid at position 109 was proline for human and serine for mouse (rodents). From the structure, Pro109 made a van der Waals contact with A at the –1 position, but its contact was somewhat close. If A is changed to T, this contact is weakened. Serine at position 109 would accommodate a larger base. f, Magnified view of the G10 of iDNA4084 recognition by TLR9 (EcTLR9–iDNA4084 complex). G10 of iDNA4084 makes three hydrogen bonds with TLR9: N2, N1 and O6 atoms of G10 with the side chains of Ser205, Asp175 and Ser151, respectively. To examine the functional importance of this base, we substituted it with other bases and examined the binding affinity by ITC. The affinity of TLR9 for G10A (Kd = 6 nM) was reduced from that of the original sequence (Kd = 3 nM), but TLR9 exhibited much lower affinity for DNAs with a pyrimidine at this position (Kd = 41 nM for G10C and Kd = 76 nM for G10T), suggesting that this position favours purine over pyrimidine. g, Superposition of iDNA4084 bound to EcTLR9 (green) and MmTLR9 (purple). The binding mode of iDNA4048 is perfectly conserved between EcTLR9 and MmTLR9.
a, Superposition of the structures of unliganded (grey), DNA1668_12mer-bound (green), and iDNA4084-bound (blue), EcTLR9. TLR9 and DNA are shown in Cα-trace and stick representation, respectively. No significant conformational change was observed upon agonistic DNA binding, as indicated by the small r.m.s.d. value of 0.8 Å between EcTLR9 (unliganded) and the EcTLR9–DNA1668_12mer complex. Instead, the conversion of EcTLR9 into the activated form appears to involve local conformational changes in the loop regions of LRR8, LRR11 and LRR18, all of which are involved in formation of the dimer. No significant structural change was induced by binding to iDNA4084, as indicated by the small r.m.s.d. values of 0.49 Å and 0.45 Å between the unliganded and iDNA4084-bound forms of EcTLR9 and MmTLR9, respectively. b, Surface representations of EcTLR9 structures in the DNA1668_12mer (upper) and iDNA4084 complexes (lower). The protein–protein interface, TLR9_DNA1668_12mer interfaces 1 and 2, and TLR9_iDNA4084 interface are shown in orange, blue, cyan and yellow, respectively. The bound DNAs are shown in stick representation with their 5′ and 3′ ends indicated. DNA1668_12mer buries approximately 1,136 Å2 and 294 Å2 of the accessible surface area of TLR9 and TLR9*, respectively, suggesting that the N-terminal binding site of TLR9 for DNA1668_12mer makes a relatively larger contribution to binding. The binding site for iDNA partially overlaps with the binding site for agonistic DNA. Specifically, LRR4 and LRR5 are both involved in the binding sites for agonistic DNA and iDNAs, although the binding modes of DNA1668_12mer and iDNA4084 are completely different: Arg152 (LRR4), Tyr179 and Lys181 (LRR5) interact with the phosphate of C11 of DNA1668_12mer but also with G8 of iDNA4084. c, Electrostatic potential map of DNA-binding region. The map was calculated at basic and acidic conditions by PyMol28. Surface colours represent the potential from –20 kBT/e (red) to 20 kBT/e (blue), where kB is the Boltzman constant and T is the absolute temperature. The DNA molecule is shown as a stick model.
Representative ITC thermograms for the ITC data are shown with their pH condition and Kd values for EcTLR9.
Gel-filtration chromatography of EcTLR9 with FITC-labelled DNA. DNA binding to TLR9 was monitored by FITC-fluorescence (excitation 495 nm, emission 520 nm). The parenthesized values indicate the ratios of the fluorescence peak height of the derivative DNA to the original DNA containing the consensus sequence of GACGTT (top left). In each experiment, 0.5 μM EcTLR9 (total volume of 45 μl) with DNA (equimolar) was injected into a Superdex 200 Increase 5/150 GL (GE healthcare) gel-filtration column. The running buffer was 10 mM 2-morpholinoethanesulfonic acid and 250 mM NaCl at pH 5.5. DNAs used in the analyses are shown in each panel. Bases that are changed from the original sequence are highlighted in red. Conversion of the purine–purine sequence (GA) at the –1 and –2 positions of the CpG motif (underlined) to AA and GG resulted in DNAs with affinities similar to the wild-type DNA, but conversion to a pyrimidine–pyrimidine sequence (TT and CC) weakened the affinity, demonstrating that a purine–purine sequence is preferable at these positions. Conversion of the base at the +1 position into C, A or G led to weaker binding, suggesting that T is preferable at the +1 position, although T is not specifically recognized.
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Ohto, U., Shibata, T., Tanji, H. et al. Structural basis of CpG and inhibitory DNA recognition by Toll-like receptor 9. Nature 520, 702–705 (2015) doi:10.1038/nature14138
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