The structure function of the death domain of human IRAK-M
© Du et al.; licensee BioMed Central Ltd. 2014
Received: 8 April 2014
Accepted: 21 November 2014
Published: 7 December 2014
IRAK-M is an inhibitor of Toll-like receptor signaling that acts by re-directing IRAK-4 activity to TAK1 independent NF-κB activation and by inhibition of IRAK-1/IRAK-2 activity. IRAK-M is expressed in monocytes/macrophages and lung epithelial cells. Lack of IRAK-M in mice greatly improves the resistance to nosocomial pneumonia and lung tumors, which entices IRAK-M as a potential therapeutic target. IRAK-M consists of an N-terminal death domain (DD), a dysfunctional kinase domain and unstructured C-terminal domain. Little is known however on IRAK-M’s structure-function relationships.
Since death domains provide the important interactions of IRAK-1, IRAK-2 and IRAK-4 molecules, we generated a 3D structure model of the human IRAK-M-DD (residues C5-G119) to guide mutagenesis studies and predict protein-protein interaction points. First we identified the DD residues involved in the endogenous capacity of IRAK-M to activate NF-κB that is displayed upon overexpression in 293T cells. W74 and R97, at distinct interfaces of the IRAK-M-DD, were crucial for this endogenous NF-κB activating capacity, as well as the C-terminal domain (S445-E596) of IRAK-M. Resulting anti-inflammatory A20 and pro-inflammatory IL-8 transcription in 293T cells was W74 dependent, while IL-8 protein expression was dependent on R97 and the TRAF6 binding motif at P478. The IRAK-M-DD W74 and R97 binding interfaces are predicted to interact with opposite sides of IRAK-4-DD’s. Secondly we identified DD residues important for the inhibitory action of IRAK-M by stable overexpression of mutants in THP-1 macrophages and H292 lung epithelial cells. IRAK-M inhibited TLR2/4-mediated cytokine production in macrophages in a manner that is largely dependent on W74. R97 was not involved in inhibition of TNF production but was engaged in IL-6 down-regulation by IRAK-M. Protein-interactive residues D19-A23, located in between W74 and R97, were also observed to be crucial for inhibition of TLR2/4 mediated cytokine induction in macrophages. Remarkably, IRAK-M inhibited TLR5 mediated IL-8 production by lung epithelial cells independent of W74 and R97, but dependent on D19-A23 and R70, two surface-exposed regions that harbor predicted IRAK-2-DD interaction points of IRAK-M.
IRAK-M employs alternate residues of its DD to inhibit the different inflammatory mediators induced by varying TLRs and cells.
Interleukin-1 receptor-associated kinase M (IRAK-M) is a member of the IRAK protein family , a family of proteins that is crucially involved in signaling initiated by the cytokines IL-1 and IL-18 and in Toll-like receptor activation . Activation of the receptors leads to dimerization of the adaptor protein MyD88, and subsequent recruitment of IRAK-4 and other IRAK’s to form multimers (myddosomes) by homo- and heteromeric interactions of the death domains present in these IRAK’s ,. Binding and phosphorylation events triggered by IRAK-4 result in hyper- and auto-phosphorylation of IRAK-1 and formation of IRAK-1/TRAF-6 complexes which dissociate from the receptor to activate TAB2/3 and TAK-1 . TAB/TAK/TRAF6 activity leads to IκBα phosphorylation and ubiquitination, culminating in nuclear factor-κB (NF-κB) activation and transcription of inflammatory genes . IRAK-2 hyperphosphorylation and TAB/TAK/TRAF6 activity leads to specific IRAK-2 dependent mRNA stabilization and translational control of pro-inflammatory mediators -. All IRAK family members mediate activation of NF-κB and MAPK  and the phenotype of IRAK-1, IRAK-2 and IRAK-4 deficient mice or cells is one of decreased production of inflammatory mediators . In contrast, IRAK-M deficient mice or cells display an increased inflammatory response , illustrating the essentially different function of IRAK-M.
Structurally, IRAK-M consists of a kinase domain (KD) flanked by an N-terminal death domain (DD) involved in binding to other IRAK family members and an unstructured C-terminal domain (CTD) with a TRAF6 binding motif ,. IRAK-1 and IRAK-4 contain active kinase domains, but IRAK-M and IRAK-2 lack the critical active site aspartate residue and appear devoid of kinase activity ,. It has been reported that IRAK-M inhibits IRAK signaling by binding to the IRAK-1/IRAK-4 dimer assembled on the receptor-bound MyD88, thereby preventing IRAK-1/TRAF6 downstream signaling . However, also other mechanisms have been put forward by which IRAK-M may inhibit inflammation in a more active manner, such as through IRAK-M dependent stabilization of MKP-1  and down-regulation of the non-canonical NF-κB pathway . Only recently it was shown that murine IRAK-M is redundant with IRAK-1/2 with respect to NF-κB activation through a unique IRAK-4/IRAK-M mediated MEKK3 pathway . This pathway specifically induces IRAK-M dependent transcription of negative regulators such as A20, IκBα, SOCS-1 and SHIP . Furthermore, IRAK-M was shown to inhibit the IRAK-2 dependent mRNA stabilization/translation of cytokines and chemokines . Increased host responses caused by lack of IRAK-M are favorable for the clinical outcome in bacterial pneumonia -, but also in tumor models  and bone marrow transplantation  which implies that inhibition of IRAK-M might have therapeutic potential. Different from the other IRAK’s, IRAK-M expression is rather restricted to certain cell types such as monocytes/macrophages and lung epithelial cells , and IRAK-M is up-regulated under inflammatory conditions and associated with LPS tolerance ,.
Zhou et al. showed that the conserved W74 residue in the DD of murine IRAK-M was crucial for the interaction with IRAK-4 and NF-κB activation. Here we show that both the DD as well as the CTD of IRAK-M are important for the endogenous NF-κB activation capacity of human IRAK-M upon overexpression in 293T cells. We investigated the structure-function relationships of the human IRAK-M DD by mutagenesis of predicted protein interaction sites. We identified at least 3 sites on the DD of IRAK-M which are involved in IRAK-M’s function. Two of these, located on opposite sides of the death domain and constellated by W74/Q78/F18 and R97/Y105 respectively, are predicted to interact with different sides of the IRAK-4 DD. Both sites and the interactive area in between these sites formed by the surfacing stretch D19 to A23 were observed to be involved in the capacity of IRAK-M to inhibit TLR mediated cytokine production in human macrophages. Thus, we identified and characterized the primary interactive sites on the DD of IRAK-M on the basis of a structural model.
Homology model of the human IRAK-M death domain
Functional analysis of DD mutagenesis after transient overexpression of IRAK-M variants in 293T cells
Mutation of R97 and Y105 in the interactive area of helix6, revealed that also R97 is of major importance in the NF-κB activating activity of IRAK-M in 293T cells while single mutation at Y105 exerts only a modest effect on NF-κB (Figure 2B). However, combined R97/Y105 mutation reduced NF-κB to the level of the death domain deletion mutant which identifies these residues as a second crucial binding site for the NF-κB activating activity of IRAK-M in 293T cells (Figure 2B).
IRAK-M has been reported to induce transcription of genes that do not rely on transcript stabilization such as the anti-inflammatory mediator A20 . A20 transcription was induced by IRAK-M in 293T cells in a manner that appears primarily dependent on W74 (Figure 2C). Although R97 was involved in over 80% of the induced NF-κB (Figure 2B), the R97Q mutant generated the full A20 transcript potential. Importantly, while single mutation of R97 and Y105 did not impact on A20 transcript levels the R97Q/Y105A double mutant displayed significantly reduced levels of A20 mRNA, indicating a partial role of these helix 6 residues in A20 transcript expression.
Overexpression of IRAK-M in 293T cells also induced IL-8 secretion which involves NF-κB dependent transcription and translation . The IL-8 production induced by the different DD-mutants in 293T cells (Figure 2D) occurred analogous to the NF-κB activity (Figure 2B). In line with the reduced NF-κB and IL-8 protein production capacity of the helix 1/4-5 mutants W74A, P22A-A23S and F18A/Q78A, the IL-8 transcript levels induced by these mutants were markedly reduced indicating pivotal involvement of these adjacent residues in transcription. In contrast IL-8 transcript production was not affected by mutation of R97, while IL-8 protein production by the R97Q mutant was 85% reduced (Figure 2D) indicating a role for this site in helix 6 in translation by a different pathway. Combined mutation of R97 and Y105 resulted in decreased IL-8 transcript levels (Figure 2D), but the relative impact on IL-8 protein production by the R97Q/Y105A mutation was importantly larger than that of the helix 1 mutants F18A and P22A-A23S with similar transcript levels (Figure 2D). The latter also points to involvement of the binding site in helix 6 of IRAK-M in protein translation. Remarkably, the R70Q mutant displayed significant hyperactivity with regard to IL-8 transcription and translation compared to WT IRAK-M. The combined D19-P21/P22-A23 mutant induced IL-8 protein and transcript levels equally well as WT IRAK-M.
Functional analysis of C-terminal domain mutants after transient overexpression of IRAK-M variants in 293T cells
Deletion of the CTD of IRAK-M resulted in a partial reduction of the A20 mRNA levels induced by IRAK-M. The TRAF6 binding site at P478 was not involved in the expression of A20 transcripts (Figure 3C). Remarkably, truncation of the IRAK-M CTD at K526 somewhat potentiated A20 transcript levels in 293T cells.
The reduced capacity of the IRAK-M CTD-∆ mutant to activate NF-κB was associated with an almost complete loss of IL-8 production (Figure 3D). Interestingly, the TRAF6 binding motif at P478 appeared essential for IL-8 production by IRAK-M, this while NF-κB was hardly affected by the P478G substitution (Figure 3B and D). For comparison the DD-mutants D19-A21 and P22A-A23S mutant were studied simultaneously. These mutants displayed NF-κB levels comparable to the P478G mutant and CTD-∆ mutant, however the CTD mutants displayed a much larger effect on IL-8 protein production compared to these DD-mutants. NF-κB, IL-8 transcription and translation correlated well for the D19-A21 and P22A-A23S mutants. The TRAF6 binding site mutant P478G however induced IL-8 transcripts as efficient as WT IRAK-M, while IL-8 protein levels induced by this mutant are 80% reduced (Figure 3D) which indicates involvement of the TRAF6 binding site in IL-8 translation upon transfection of IRAK-M in 293T cells. IL-8 transcription was induced by the CTD-∆ mutant (Figure 3D) albeit at a lower level than was observed for WT IRAK-M, which may indicate a role for the CTD in IL-8 transcription or mRNA stabilization in 293T cells. Truncation of the CTD of IRAK-M at position 526 did not significantly affect IL-8 transcript levels or protein expression.
Modeling of putative IRAK-M-DD tetramer and protein docking in the myddosome structure
We observed that the IRAK-M-DD R70Q variant displays hyper-reactivity towards IL-8 production when expressed in 293T cells (Figure 2D). Structure analysis of the DD-model indicated that the R70Q variant may actually form an extra hydrogen bond with R54 of IRAK-4 (Figure 4D). Remarkably, the extra interaction with IRAK-4 of R70Q led to increased transcript and protein levels of IL-8 without an increase in total NF-κB (Figure 2B,D).
Unbiased docking of the IRAK-M-DD tetramer to the free side of the IRAK-2-DD tetramer in 3MOP (see Figure 4F) indicated the W74 side to be plausibly involved in protein-protein contacts (Figure 4E) without involvement of R97. R70 is predicted to be involved in the interaction with IRAK-2 (Figure 4E), but different from the interaction gain with IRAK-4, the R70Q mutant is predicted to lose the IRAK-2 interaction points at position 70 of IRAK-M.
Potency of IRAK-M-DD mutants to inhibit TLR signaling in macrophages
Overexpression of WT IRAK-M in human THP-1 derived macrophages significantly inhibited TLR2 and TLR4 induced TNF and IL-6 production in a death domain dependent manner (Figure 5B). Mutation of the residues D19-P21, P22-A23, W74 and Q78 resulted in partially or completely restored TNF and IL-6 production in macrophages (Figure 5B). In contrast, single or combined mutation of R97 and Y105 in helix 6 did not or hardly influence TNF production induced by respectively TLR2 or TLR4 when compared to WT IRAK-M (Figure 5B). Single R97Q mutation even resulted in increased capacity of IRAK-M to inhibit Pam3CSK4 induced TNF production, when compared to WT IRAK-M . Pam3CSK4 induced IL-6 release was however partially restored by R97 and Y105 mutation and more so in case of the R97Q/Y105A double mutant. Remarkably, mutation of R97 and combined R97/Y105 mutation reduced the capacity of IRAK-M to inhibit LPS induced IL-6 production considerably and the helix 6 interaction appeared equally important for inhibition of LPS induced IL-6 by IRAK-M as the D19-P21, P22-A23 and W74 type of interactions (Figure 5B). Although the steady state expression level of the D19-A23 mutant is low in macrophages (Figure 5A) this mutant still reduced LPS mediated TNF and IL-6 production significantly compared to the eGFP-control (Figure 5B). These results indicate that IRAK-M inhibits cytokine production in macrophages with a dominant role for W74 and surrounding residues in controlling TNF production, and a differential role for the helix 6 residues R97 and Y105 which appear to control LPS mediated IL-6 by IRAK-M in cooperation with residues on the other side of the putative IRAK-M tetramer.
Potency of IRAK-M-DD mutants to inhibit TLR5 and IL-1β signaling in lung epithelial cells
IRAK-M has been reported to be expressed in lung epithelial cells . Lung epithelial cells are relatively unresponsive to TLR2 and TLR4 agonist, but react potently to MyD88/IRAK dependent IL-1 receptor and TLR5 stimulation , which we could confirm with the lung epithelial cell line H292. The most prominent inflammatory mediator produced by these cells is IL-8. TLR5 is activated by Flagellin derived from the flagella of certain Gram-negative bacteria such as P. aeruginosa. In this respect it is noteworthy that IRAK-M−/− mice are protected from P. aeruginosa pneumonia under immunocompromised conditions caused by cecal ligation and puncture . TLR5 mediated IL-8 production by H292 lung epithelial cells after Flagellin stimulation was significantly inhibited by WT IRAK-M (Figure 6B). The inhibition of TLR5 mediated IL-8 production by IRAK-M was completely death domain dependent since the DD-deletion mutant showed no effect on IL-8 production. The R70Q mutation was associated with partially restored IL-8 production. Mutagenesis of the D19-A23 stretch resulted in complete restoration of chemokine production. Interestingly mutation of key residue W74 did not influence the inhibitory effect exerted by IRAK-M on TLR5 mediated IL-8 production. Remarkably R97 and Y105 mutagenesis prominently enforced the inhibitory capacity of IRAK-M to inhibit TLR5 mediated IL-8 production (Figure 6B), an effect that was also observed for some other mutants (P22A-A23S and Q78A). The inhibitory action of IRAK-M and mutants on Flagellin induced IL-8 release was in line with the level of induced IL-8 transcripts indicating an inhibitory control in this setting by IRAK-M on IL-8 transcription and/or transcript stabilization (Figure 6C).
In contrast to the inhibition of TLR5 stimulated IL-8 expression, the IL-1β stimulated IL-8 expression by H292 lung epithelial cells was enhanced by WT IRAK-M (Figure 6B). The latter is however consistent with the notion that IRAK-M may substitute for IRAK-1 in IL-1β signaling . Most DD-mutants did not show this stimulatory effect, interestingly however the DD-deletion mutant which lacks the entire DD also displayed some unexplained stimulation of IL-1β driven IL-8 expression.
To evaluate whether the dampening of TLR5 mediated IL-8 production by IRAK-M was caused by increased mRNA expression of negative feedback inhibitors such as A20  we determined A20, SHIP-1 and SOCS-3 transcript levels in H292 cells that overexpressed WT or mutant IRAK-M proteins after 3 hours of stimulation. Instead of inducing A20 levels, IRAK-M appeared to inhibit Flagellin induced A20 and SOCS-3 expression in H292 cells (Additional file 1: Figure S5), and while IRAK-M seemed to up regulate basal SHIP-1 levels, this effect however appeared to be retained by the DD-deletion mutant that did not inhibit IL-8 release. Thus, our results suggest that IRAK-M regulates TLR5 mediated responses in lung epithelial cells by inhibition of the forward signaling to IL-8 induction, not by increase of negative feedback inhibitors. Remarkably however Flagellin-induced A20 expression appeared importantly higher in the case of the W74A mutant compared to WT IRAK-M, while IL-1β induced A20 expression appeared reduced for the R97 and R97/Y105 mutants (Additional file 1: Figure S5).
It should be mentioned that we modeled the interactions of IRAK-M with other IRAK family members as if IRAK-M forms homotetramers and interacts as such with homotetramers of IRAK-4 and IRAK-2. This is based on the experimentally verified homotetramer formation observed for the isolated death domains of MyD88/IRAK-4/IRAK-2 when co-crystallized . Full-length proteins may however interact differently, for instance the intermediate domain that extends immediately from the DD’s of MyD88 and IRAK-1 are extremely important for function ,. Also in this regard we show here that the C-terminal domain of IRAK-M is functional and contains an active TRAF6 binding site (Figure 3).
With respect to structure-based predictions the results with the R70Q IRAK-M mutant are of major importance. As may be inferred from protein docking experiments, the R70Q mutant tetramers may form an extra hydrogen bond with R54 of IRAK-4 tetramers, but loose the R70 interaction points with IRAK-2. In line with its increased IRAK-4 interaction, the R70Q mutant displayed hyperactivity towards IL-8 transcription compared to WT when overexpressed in 293T cells. IL-8 transcription in this in vitro setting is primarily W74 driven and indeed the IRAK-4 interaction predicted to be enforced by the R70Q variant involves the W74 interface. Also IL-8 protein expression was increased in 293T in case of the R70Q mutant. Translation induced by IRAK-M in 293T cells appears primarily R97 driven, presumably through a MyD88 type of interaction of IRAK-M with IRAK-4, which may drive IRAK-2 activity to translation of inflammatory genes  as depicted in Figure 7B. However, this potential IRAK-2 translational activity induced by IRAK-M will be, as in the myddosome, also open for inhibition by IRAK-M. The predicted loss of an interaction site of the IRAK-M R70Q mutant with IRAK-2 will relieve this IRAK-2 inhibition which contributes to the observed increased IL-8 protein expression. The observations of a “gain of function” mutant in this regard confirm the quality and predictive power of our IRAK-M-DD model.
To display an altered anti-inflammatory capacity of the IRAK-M DD mutants we introduced them in THP-1 macrophages and H292 lung epithelial cells. Zhou et al. showed that W74 is involved in IRAK-4 binding and NF-κB activating activity of IRAK-M when macrophages are stimulated with a viral type TLR7 agonist. Here we show that W74 is dominantly involved in the capacity of IRAK-M to reduce TLR2 and TLR4 mediated cytokine release in macrophages. To our knowledge this is the first demonstration that W74 is involved in the inhibitory actions of IRAK-M. Also surrounding residues of W74 (F18/Q78, D19-P21, P22-A23, R70) displayed major contributions to the capacity of IRAK-M to inhibit TNF and IL-6 production by Pam3CSK4 and LPS in macrophages. However, the D19-A23 mutant remained able to reduce LPS induced TNF and IL-6 production, which is in line with the dominant role of W74 in this feature and an active mode of action of IRAK-M as proposed by Zhou et al.. Mutation of R97 and Y105 in helix 6 had little effect on the capacity of IRAK-M to inhibit TLR2/4 stimulated TNF production in macrophages, but did exert a major drop in the potency of IRAK-M to inhibit LPS stimulated IL-6 production. Thus, the involvement of residues R97/Y105 of IRAK-M to inhibit cytokine produced in macrophages is dependent on the trigger and cytokine evaluated. Analogously, TNF and IL-6 expression are differentially regulated, with TNF being identified as a primary response gene . The observation that W74 as well as R97 are involved in the inhibition TLR mediated of IL-6 production indicates an important role for the R97 type of interaction with IRAK-4 that could either compete for MyD88 binding to IRAK-4 or provide a special NF-κB signal to express anti-inflammatory inhibitors.
In contrast to the importance of residues W74 and R97 in aforementioned activities of IRAK-M these residues were not implicated in the inhibition by IRAK-M of TLR5 mediated IL-8 production by lung epithelial cells (Figure 6B). Since W74 of IRAK-M is pivotal for IRAK-4 interaction  it appears that the functionality of IRAK-M in the inhibition of TLR5 mediated IL-8 in these epithelial cells is independent of its interaction with IRAK-4. The R97 mutant displayed even a robust increased inhibitor potency on TLR5 mediated IL-8 production, which may be related to the reduced IRAK-4 binding possibilities of this mutant and therefore potentially increased IRAK-2 binding events. Interestingly increased expression of the inhibitor A20 by IRAK-M as reported  was not associated with the inhibitory effect of IRAK-M in the lung epithelial cell experiments presented here (Additional file 1: Figure S5). Taken together it appears that the inhibitory action of IRAK-M on TLR5 mediated IL-8 production in lung epithelial cells is mainly the result of inhibition of the functions of IRAK-2. In line, posttranscriptional processes are reported to dominate TLR5 mediated IL-8 production in epithelial cells  and transcript stabilization and translation are pathways induced via IRAK-2 .
The differential importance of the alternate DD sites of IRAK-M in their inhibitory functioning under varying conditions is probably due to distinct limiting factors in the involved pathways. Recent discoveries such as the cell specific regulation of IL-6 production by TLR dependent autophosphorylation of IRAK-4  may turn out to be pivotal in our understanding of IRAK-M as an inhibitor of IRAK-4 dependent processes. It should be stressed that while we used a theoretical 3D model to rationalize the in vitro experiments, our results show the involvement of the different residues of IRAK-M at the functional level only. Additional studies are needed to confirm or refute the potential interactions predicted by our protein modeling studies.
A naturally occurring P22L IRAK-M mutant is reported to be associated with early onset asthma . Residue P22 is predicted to be involved in IRAK-2/4 and M tetramer interactions (Figure 4 and Additional file 1: Figure S3b). The enhanced propensity of individuals with the P22L mutation to develop asthma is in line with the observed decreased capacity of IRAK-M with mutations in this region (P22A-A23S mutant) to down-regulate IL-6 expression in macrophages upon TLR2/4 stimulation (Figure 5B).
From the overexpression experiment in 293T cells it could be concluded that residues D19-A21 and P22-A23 are involved in both positive and negative effects on signaling events. This is consistent with our finding that the D19-A21 as well as the P22-A23 mutant IRAK-M proteins lack capacity to inhibit cytokine expression in macrophages (Figure 5B). This would involve reduced IRAK-4 interaction of IRAK-M at L20, P21, P22 and A23 as well as reduced IRAK-2 interaction of IRAK-M at D19 and P22.
Interestingly, the relative high NF-κB activity of the D19-A23 IRAK-M mutant (Figures 2B and 3B) is associated with low protein levels of this mutant in proficient cells (Figures 5A and 6A). For IRAK-1 it has been suggested that an intramolecular interaction of the death domain with the end of its CTD keeps IRAK-1 in a silent mode before phosphorylation events trigger its activation . IRAK-1 that lacks the end of its CTD is easily activated and instable . In the context of IRAK-M one could hypothesize a role of the D19-A23 stretch in the stability of IRAK-M either by interaction with its own CTD or specific interaction/repelling with/of other IRAK or associated molecules. The lower observed steady state levels of the IRAK-M mutant protein with the modified D19-A23 stretch (Figures 4A and 5A) would be consistent with faster turnover through increased kinetics of activation and subsequent degradation events. In this respect, blotting experiments with the IRAK-M K526stop mutant that lacks the C-terminal epitope recognized by the used C-terminal anti-IRAK-M antibody, showed clearly that both the low and high molecular bands observed upon expression of IRAK-M are specific IRAK-M derived products. These products appear to display the continuous modification and degradation of WT IRAK-M as well as the mutants (Figures 2A, 5A, 6A). The phenotype observed with the K526stop mutant was increased A20 transcription (Figure 3C) which could support the proposed presence of a regulatory element in the very C-terminal end of IRAK-M analogues to the CTD of IRAK-1 .
We compared the homologous residues involved in the function of IRAK-M with those of other IRAK family members (Additional file 1: Figure S6). The stretch F18-A23 in IRAK-M, which is involved in NF-κB activating activity as well as inhibitory activity (Figures 2, 3, 5 and 6), is least conserved among IRAK proteins (Additional file 1: Figure S6D). Major difference with IRAK-2 is that A23 in IRAK-M is a bulky and aromatic tryptophan at the homologous position in IRAK-2 (W11) (Additional file 1: Figure S6A and B). Furthermore the negative charge provided in IRAK-M by D19 is absent in IRAK-2 (Q7). In IRAK-4 this negative charge is also lacking at the homologous position (C13), instead a positive charge is provided in IRAK-4 in this area by R12 in the homologous position of the aromatic phenylalanine (F18) in IRAK-M (compare Additional file 1: Figure S6E1 and E3). Undoubtedly these differences will contribute to the divergent functions of the different homologous DD. The residues in the D19-A23 stretch are predicted IRAK-M interaction points with IRAK-M itself (P22, A23), with IRAK-4 (L20, P21, P22, A23), and IRAK-2 (D19, P22) (Figure 4).
A rare naturally occurring R97Q IRAK-M mutant has been reported (rs185025028). Here we show that the R97 binding interface can be of importance for the functioning of IRAK-M depending on the cell type, stimulus and readout. As mentioned, the R97Q mutation has a phenotype with regard to the functioning of IRAK-M in macrophages (lower potency to inhibit TLR4 elicited IL-6) and lung epithelial cells (higher potency to inhibit TLR5 elicited IL-8). It will be interesting to see whether the R97Q genotype is associated with altered disease phenotype or outcome. R97 plays an important role in the functioning of IRAK-M in cooperation with Y105. R97 is conserved in IRAK-2, but not in IRAK-4. Y105 appears to be unique for IRAK-M (Additional file 1: Figure S6D), and may be involved in the specific functionality of IRAK-M. Our protein docking simulations did not predict an interaction point of Y105 of IRAK-M with the death domains of IRAK-2 or IRAK-4, we speculate that potentially Y105 is involved in interaction of IRAK-M with other mediators such as MEKK3 or IRAK-1.
In conclusion, the present study presents a major improvement of our knowledge of the structure function relationships of the DD of IRAK-M. We have provided detailed information on the function of individual regions and amino acid residues in the IRAK-M DD and present an theoretical structural model that may integrate the currently known structure-function data of IRAK-M. Our findings may guide and support the targeting of the DD of human IRAK-M in efforts to generate treatment strategies to boost the host response in immunocompromised patients.
Homology modeling and interactive surface prediction
Template selection and alignment
The primary sequence of human IRAK-M consists of 596 amino acids. In order to determine the domain boundaries of the DD and in order to include the complete domain region, we applied multiple sequence analysis of IRAK-M from different species. The death domain could be modeled from C5 to G119 and potential templates for the IRAK-M DD were selected through PSI-BLAST of the protein data bank (PDB) . PSI-BLAST (PSSM: 0.005) resulted in 12 available coordinate files, with sequence identities between 24% and 30% with the IRAK-M death domain sequence. Based on sequence alignment score and structure quality of potential template structures (resolution and R-factor) a final template was selected. We selected 2A9I (DD of mouse IRAK-4),  as a template, based on its sequence identity (28.7%). Moreover, 2A9I is a high resolution structure of 1.7 Å which was optimized by the PDB_REDO server with a structural quality of 0.619. The alignment between template and the IRAK-M sequence was performed by ICM-Pro (MolSoft)  with default scoring parameters and refined based on secondary structure prediction, amino acid features and the 3D structure of the template (Figure 1A and Additional file 2: Table S2).
Backbone generation and loop modeling
For the initial construction of the models we employed the ICM Pro molecular modeling package Molsoft as well as LOOPY . ICM-Pro was used to generate the backbone coordinates for the models, from the refined sequence alignment between template and query structure, except in several variable (loop) regions, for which we used LOOPY. If the template and target had identical residues also the side chain coordinates could be included. Side chains were minimized by steepest descent and simulated annealing minimization with a fixed backbone conformation and next optimized without any restraint using the ICM Pro package.
MD simulation and quality check
The optimized model structure was further refined using a short MD simulation in explicit water (density 0.997, pH 7.0) for 500 picoseconds, employing the Yasara-Whatif twin package. The YAMBER3 force field was used, periodic boundaries and long range Coulomb interactions were included with a cutoff of 7.86Å. Every 25 ps, a simulation snapshot was saved, and in total, 20 snapshots were produced. Every snapshot and template were submitted for online structure quality check at http://nihserver.mbi.ucla.edu/SAVES_3/, using PROCHECK, WHATIF, VERIFY-3D, ERRAT and PROVE. The snapshot with the best total energy was selected as the starting point for a 100 ns MD simulation, with the AMBER03 force field periodic boundaries and long range Coulomb interactions were included with a cutoff of 7.86 Å in explicit water (Density 0.997, pH 7.0). The resulting energies, RMSD, residues' flexibility, hydrogen bonds and Ramachandran plots from the MD simulation were calculated.
Evaluation of the structural quality (Additional file 2: Table S3) of the final death domain model indicated that 92.1% of the residues were located in most favored zones and the remaining 7.9% were present in allowed regions as analyzed by inspection of a Ramachandran plot. Conformation Z-scores of both the model and the template were low, though the model’s side chain planarity and inter atomic distances were good. The structure’s non-bonding interactions were qualified as good in both the model and the template. The residue environment in the model is not better than that in template, but both of them are qualified as reasonable. A 100 ns MD simulation was performed to analyze the structural stability, amino acid fluctuation, and potential energy changes of the IRAK-M death domain (Additional file 1: Figure S1). During the MD simulation, the total energy (combined by bond, angle, planarity, coulomb, VdW) was stable while the conformation of the model changed during the simulation until 10 ns and then stabilized. The fluctuation of each residue during the MD simulation was calculated, and we observed that the loop between helix3 and helix4 was flexible. The number of hydrogen bonds, known to be important for protein stability and function , was generally consistent in the model during the simulation. A107 and N104 form hydrogen bonds with each other and thus connect helix 6 with the C-terminal loop.
Prediction of protein-protein contacts
A consensus approach was used to predict protein-protein interactions for the model structure generated by application of several structural bioinformatics methods. We employed: Optimal Docking Area (ODA) , Cons-PPISP  and PPI-Pred . For each of these methods, a prediction score was obtained for all residues in the death domain of IRAK-M and a consensus was generated from the different methods applied, taking into account the accessibility of the residue. Several important residues for the interaction between the IRAK-4 DD and the DD of MyD88 have been predicted on basis of an earlier published model of the death domain: Q29, E92, F93, F94 at the surface of helix 2 and helix 5 . Furthermore, residues which potentially interact with IRAK-1 in the N-terminus and the end of the helix 4: R12, C13, E69, D73, T76 were also predicted using PPI-Pred. T66 in the death domain of IRAK-1 is critical for interaction with signaling molecules reported by Neumann and coworkers . In our model of the IRAK-M DD, the following residues in the homologous positions were found: C35, R47, E59, D63, T69, Q78, D85, R96, R97 respectively. Taking into account their flexibility and accessibility (Figure 1B), the residues, Q78, F18, D19, P21, P22, A23, W74, L20, R70, S75, R97, Y105, A77, L101, in order of likelihood, were predicted as potential sites of interaction with IRAK-M ligands.
Combined with residue spatial fluctuations as determined from MD simulation, hydrogen bond network analysis and homologue analysis, we proposed the mutagenesis of selected residues which we hypothesized to be involved in protein-protein interaction (Figure 1C).
Mutagenesis and expression of human IRAK-M mutants
Human IRAK-M and IRAK-1 mammalian expression vectors (pUNO) containing a blasticidin resistance element were obtained from Invivogen (Toulouse, France). IRAK-M mutants were generated by site-directed mutagenesis with the QuickChange kit (Stratagene, La Jolla, CA) as recommended by the manufacturer with primers containing the desired mutations. Creation of an IRAK-M mutant which lacks the entire death domain was accomplished by introduction of a second SacII site (aaacta -> ccgcgg) in the ORF at codon position 103–105. SacII restriction of this mutated plasmid releases a fragment by cleavage at the introduced site and at the endogenous SacII site in codon 7–9 of the ORF. Ligation of the plasmid generates an ORF that encodes for amino acid 1–9 connected to 105–596 without introduction of additional amino acids. Constructs were subjected to DNA sequencing to confirm the mutations and check of the appropriate CDS. 293T cells, maintained in DMEM containing 10% FCS, were transfected using Lipofectamine 2000 (Invitrogen) as recommended by the manufacturer with the plasmids for protein expression and induction of NF-κB activation and IL-8 release essentially as described . Lentiviral expression was obtained by introduction of WT IRAK-M in the pHEF vector and virus production in 293T cells as described ,. The different IRAK-M Death Domain mutations were introduced in the constructed lentiviral human IRAK-M/IRES-eGFP expression system by restriction digestion of the pUNO-IRAK-M mutants with AgeI and BstB1 to obtain the mutated region which was ligated in the pHEF-IRAK-M vector which was digested with Xma1 (compatible overhang with Age1) and BstB1 to open up and remove the WT sequence. Non-replicating lentivirus production for transduction and expression of these mutants in cells was performed according to standard procedures . Cell lines were transduced with the generated lentiviral constructs by standard procedures  with addition of polybrene. After lentiviral transduction with only eGFP as control, WT IRAK-M or the mutants, the populations of cells expressing the transgene were selected by cell sorting using the GFP signal as described .
The monocyte cell line THP-1 and transduced cultures were maintained in RPMI with 10% FCS and pen/strep. The bronchial type lung epithelial cell line H292, which is devoid of IRAK-M transcripts, was maintained as well as the transduced cultures in IMDM with 10% FCS and pen/strep.
Westernblotting for IRAK-M was performed with 1 μg/ml monospecific rabbit anti-human IRAK-M antibodies directed against the C-terminal (Cell Signaling) or polyclonal mouse anti-full length human IRAK-M (Abnova) essentially as described . B-actin antibodies were from Cell Signaling.
Activation of NF-κB was determined 24 hours after transfection by cotransfection of a Firefly Luciferase NF-κB driven reporter construct and a Renilla Luciferase CMV driven construct on cell samples lysed with lysis buffer supplied with the DualGlo kit (Promega) used to determine the Firefly and Renilla luciferase activity in the same sample as recommended by the manufacturer.
For IL-8 expression by transfected 293T cells, the cells were washed 24 hours after transfection and fresh culture medium was placed on the cells and supernatant was harvested 24 hours later and stored at −20°C for ELISA. Transduced H292 cells were plated in 96-wells cell culture plates (50.000 cells/well) and grown to confluency in 3 days and the medium was refreshed 24 hours before stimulation. Immediately before stimulation cells were washed again with medium again and cells were stimulated with 2 ng/ml IL-1β (Miltenyi Biotec) or 25 ng/ml Flagellin (Invivogen) for 6 hours and supernatant was collected and stored at −20°C for ELISA. IL-8 was determined using the duoset capture and biotinylated detecting antibody as recommended by the manufacturer (Invitrogen).
TNF and IL-6
The monocyte cell line THP-1 and transduced cultures were maintained in RPMI with 10% FCS and pen/strep and matured to adherent macrophages and stimulated as described under conditions that will induce LPS tolerance after a previous exposure to LPS . Supernatant of matured THP-1 cells stimulated with 1 ng/ml LPS (ultrapure, Invivogen) or 500 ng/ml Pam3CSK4 (Invivogen) for 6 hour was collected and stored at −20°C for determination of TNF and IL-6 by CBA (BD Biosciences) as described .
IL-8, A20, SHIP and SOCS-3 mRNA expression
IL-8 and negative regulators of inflammation were determined at the mRNA level by RT-qPCR as described .
The formation of IRAK-M-DD tetramer and the preparation of IRAK-4-DD tetramer, IRAK-2-DD tetramer and the complex of IRAK-2/IRAK-4/MyD88
Four IRAK-M-DD modules were superimposed onto either IRAK-2 (3D packing quality: −1.231) or IRAK-4 (3D packing quality: −1.241) DD tetramers respectively in the crystallographic model (3MOP,  by utilizing ICM-Pro Molsoft. The coordinates of four superimposed IRAK-M-DD were merged into one coordinate file of an IRAK-M-DD tetramer. The two obtained IRAK-M-DD tetramers were highly similar (Additional file 1: Figure S3A) with an all atom RMSD value of 1.05 Å. With the slightly higher 3D packing quality we used the IRAK-2-DD derived tetramer for further protein-protein docking studies. We first analyzed the atomic interactions (contact distance <=4 Å) between the individual IRAK-M monomers in the IRAK-M-DD tetramer (Additional file 1: Figure S3B). Next, IRAK-4 tetramer, IRAK-2 tetramers and IRAK-2/IRAK-4/MyD88 complex were retrieved from the crystallographic model 3MOP, with all hydrogen atoms added according to the protonation state at pH=7, which means that all acidic residues (Asp and Glu) are deprotonated and all basic residues (Lys and Arg) are protonated.
Hex protein docking  was applied to dock the IRAK-M-DD tetramer to IRAK-4-DD tetramer, IRAK-2-DD tetramer and IRAK-2/IRAK-4/MyD88 complex respectively. We analyzed 100 docking events for IRAK-4-DD tetramer binding to IRAK-M-DD and found that 63% of the docked poses were to the W74 exposing side of the IRAK-M-DD tetramer and 37% to the R97 exposing side of the IRAK-4-DD tetramer. The IRAK-M/IRAK4-DD complex was then docked with another IRAK-M-DD tetramer and the docked results showed that the sandwich IRAK-M/IRAK-4/IRAK-M complex was formed, where the W74 exposing site of IRAK-M tetramer docked with the bottom surface (IRAK-2 tetramer binding surface in 3MOP) of IRAK-4 tetramer and the R97 exposing site of IRAK-M tetramer docked with the top surface (MyD88 binding surface in 3MOP) of IRAK-4 tetramer.
Docking of the IRAK-M-DD tetramer to the IRAK-2-DD tetramer indicated that in a vast majority (83%) this would lead to a W74 exposing side (IRAK-M-DD tetramer) interaction and only in 17% in an interaction with the R97 exposing side. The IRAK-M-DD tetramer was docked to the bottom surface of the IRAK-2-DD tetramer from the IRAK-2/IRAK-4/MyD88 complex (Additional file 1: Figure S4F). The atomic interactions (contact distance <=4 Å) between IRAK-M-DD tetramer and the 3MOP structure were analyzed (Additional file 1: Figure S4E).
Differences between WT and mutant protein were calculated by Mann–Whitney U test. Values are expressed as mean ± SEM. A p<0.05 was considered to represent a statistical significant difference.
This work was supported by grants from the Transnational University Limburg (to GN), and by a grant from the China Scholarship Council to Jiangfeng Du (grant no. 2008630114).
- Wesche H, Gao X, Li X, Kirschning CJ, Stark GR, Cao Z: IRAK-M is a novel member of the Pelle/interleukin-1 receptor-associated kinase (IRAK) family. J Biol Chem. 1999, 274: 19403-19410. 10.1074/jbc.274.27.19403.PubMedView ArticleGoogle Scholar
- Muzio M, Ni J, Feng P, Dixit VM: IRAK (Pelle) family member IRAK-2 and MyD88 as proximal mediators of IL-1 signaling. Science. 1997, 278: 1612-1615. 10.1126/science.278.5343.1612.PubMedView ArticleGoogle Scholar
- Lin SC, Lo YC, Wu H: Helical assembly in the MyD88-IRAK4-IRAK2 complex in TLR/IL-1R signalling. Nature. 2010, 465: 885-890. 10.1038/nature09121.PubMedPubMed CentralView ArticleGoogle Scholar
- Nagpal K, Plantinga TS, Sirois CM, Monks BG, Latz E, Netea MG, Golenbock DT: Natural loss-of-function mutation of myeloid differentiation protein 88 disrupts its ability to form Myddosomes. J Biol Chem. 2011, 286: 11875-11882. 10.1074/jbc.M110.199653.PubMedPubMed CentralView ArticleGoogle Scholar
- Takeuchi O, Akira S: Pattern recognition receptors and inflammation. Cell. 2010, 140: 805-2. 10.1016/j.cell.2010.01.022.PubMedView ArticleGoogle Scholar
- Darnay BG, Ni J, Moore PA, Aggarwal BB: Activation of NF-kappaB by RANK requires tumor necrosis factor receptor-associated factor (TRAF) 6 and NF-kappaB-inducing kinase. Identification of a novel TRAF6 interaction motif. J Biol Chem. 1999, 274: 7724-7731. 10.1074/jbc.274.12.7724.PubMedView ArticleGoogle Scholar
- Ye H, Arron JR, Lamothe B, Cirilli M, Kobayashi T, Shevde NK, Segal D, Dzivenu OK, Vologodskaia M, Yim M, Du K, Singh S, Pike JW, Darnay BG, Choi Y, Wu H: Distinct molecular mechanism for initiating TRAF6 signalling. Nature. 2002, 418: 443-447. 10.1038/nature00888.PubMedView ArticleGoogle Scholar
- Wan Y, Xiao H, Affolter J, Kim TW, Bulek K, Chaudhuri S, Carlson D, Hamilton T, Mazumder B, Stark GR, Thomas J, Li X: Interleukin-1 receptor-associated kinase 2 is critical for lipopolysaccharide-mediated post-transcriptional control. J Biol Chem. 2009, 284: 10367-10375. 10.1074/jbc.M807822200.PubMedPubMed CentralView ArticleGoogle Scholar
- Kobayashi K, Hernandez LD, Galan JE, Janeway CA Jr, Medzhitov R, Flavell RA: IRAK-M is a negative regulator of Toll-like receptor signaling. Cell. 2002, 110: 191-202. 10.1016/S0092-8674(02)00827-9.PubMedView ArticleGoogle Scholar
- Flannery S, Bowie AG: The interleukin-1 receptor-associated kinases: critical regulators of innate immune signalling. Biochem Pharmacol. 2010, 80: 1981-1991. 10.1016/j.bcp.2010.06.020.PubMedView ArticleGoogle Scholar
- Su J, Xie Q, Wilson I, Li L: Differential regulation and role of interleukin-1 receptor associated kinase-M in innate immunity signaling. Cell Signal. 2007, 19: 1596-1601. 10.1016/j.cellsig.2007.02.009.PubMedPubMed CentralView ArticleGoogle Scholar
- Su J, Zhang T, Tyson J, Li L: The interleukin-1 receptor-associated kinase M selectively inhibits the alternative, instead of the classical NFkappaB pathway. J Innate Immun. 2009, 1: 164-174. 10.1159/000158541.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhou H, Yu M, Fukuda K, Im J, Yao P, Cui W, Bulek K, Zepp J, Wan Y, Kim TW, Yin W, Ma V, Thomas J, Gu J, Wang JA, DiCorleto PE, Fox PL, Qin J, Li X: IRAK-M mediates Toll-like receptor/IL-1R-induced NFκB activation and cytokine production. EMBO J. 2013, 32: 583-596. 10.1038/emboj.2013.2.PubMedPubMed CentralView ArticleGoogle Scholar
- Deng JC, Cheng G, Newstead MW, Zeng X, Kobayashi K, Flavell RA, Standiford TJ: Sepsis-induced suppression of lung innate immunity is mediated by IRAK-M. J Clin Invest. 2006, 116: 2532-2542.PubMedPubMed CentralGoogle Scholar
- Hoogerwerf JJ, Van Der Windt GJ, Blok DC, Hoogendijk AJ, De Vos AF, van 't Veer C, Florquin S, Kobayashi KS, Flavell RA, Van Der Poll T: Interleukin-1-receptor-associated kinase M deficient mice demonstrate an improved host defense during gram-negative pneumonia. Mol Med. 2012, 18: 1067-1075. 10.2119/molmed.2011.00450.PubMedPubMed CentralView ArticleGoogle Scholar
- van der Windt GJ, Blok DC, Hoogerwerf JJ, Lammers AJ, de Vos AF, van 't Veer C, Florquin S, Kobayashi KS, Flavell RA, van der Poll T: Interleukin 1 receptor-associated kinase m impairs host defense during pneumococcal pneumonia. J Infect Dis. 2012, 205: 1849-1857. 10.1093/infdis/jis290.PubMedView ArticleGoogle Scholar
- Xie Q, Gan L, Wang J, Wilson I, Li L: Loss of the innate immunity negative regulator IRAK-M leads to enhanced host immune defense against tumor growth. Mol Immunol. 2007, 44: 3453-3461. 10.1016/j.molimm.2007.03.018.PubMedPubMed CentralView ArticleGoogle Scholar
- Hubbard LL, Ballinger MN, Thomas PE, Wilke CA, Standiford TJ, Kobayashi KS, Flavell RA, Moore BB: A role for IL-1 receptor-associated kinase-M in prostaglandin E2-induced immunosuppression post-bone marrow transplantation. J Immunol. 2010, 184: 6299-6308. 10.4049/jimmunol.0902828.PubMedPubMed CentralView ArticleGoogle Scholar
- Balaci L, Spada MC, Olla N, Sole G, Loddo L, Anedda F, Naitza S, Zuncheddu MA, Maschio A, Altea D, Uda M, Pilia S, Sanna S, Masala M, Crisponi L, Fattori M, Devoto M, Doratiotto S, Rassu S, Mereu S, Giua E, Cadeddu NG, Atzeni R, Pelosi U, Corrias A, Perra R, Torrazza PL, Pirina P, Ginesu F, Marcias S,et al: IRAK-M is involved in the pathogenesis of early-onset persistent asthma. Am J Hum Genet. 2007, 80: 1103-1114. 10.1086/518259.PubMedPubMed CentralView ArticleGoogle Scholar
- van 't Veer C, van den Pangaart PS, van Zoelen MA, de Kruif M, Birjmohun RS, Stroes ES, de Vos AF, van der Poll T: Induction of IRAK-M is associated with lipopolysaccharide tolerance in a human endotoxemia model. J Immunol. 2007, 179: 7110-7120. 10.4049/jimmunol.179.10.7110.PubMedView ArticleGoogle Scholar
- Lasker MV, Gajjar MM, Nair SK: Molecular structure of the IL-1R-associated kinase-4 death domain and its implications for TLR signaling. J Immunol. 2005, 175: 4175-4179. 10.4049/jimmunol.175.7.4175.PubMedView ArticleGoogle Scholar
- Hoffmann E, Dittrich-Breiholz O, Holtmann H, Kracht M: Multiple control of interleukin-8 gene expression. J Leukoc Biol. 2002, 72: 847-855.PubMedGoogle Scholar
- Ioannidis I, Ye F, McNally B, Willette M, Flaño E: Toll-like receptor expression and induction of type I and type III interferons in primary airway epithelial cells. J Virol. 2013, 87: 3261-3270. 10.1128/JVI.01956-12.PubMedPubMed CentralView ArticleGoogle Scholar
- Burns K, Janssens S, Brissoni B, Olivos N, Beyaert R, Tschopp J: Inhibition of interleukin 1 receptor/Toll-like receptor signaling through the alternatively spliced, short form of MyD88 is due to its failure to recruit IRAK-4. J Exp Med. 2003, 197: 263-268. 10.1084/jem.20021790.PubMedPubMed CentralView ArticleGoogle Scholar
- Li X, Commane M, Jiang Z, Stark GR: IL-1-induced NFkappa B and c-Jun N-terminal kinase (JNK) activation diverge at IL-1 receptor-associated kinase (IRAK). Proc Natl Acad Sci U S A. 2001, 98: 4461-4465. 10.1073/pnas.071054198.PubMedPubMed CentralView ArticleGoogle Scholar
- Hargreaves DC, Horng T, Medzhitov R: Control of inducible gene expression by signal-dependent transcriptional elongation. Cell. 2009, 138: 129-145. 10.1016/j.cell.2009.05.047.PubMedPubMed CentralView ArticleGoogle Scholar
- Yu Y, Zeng H, Lyons S, Carlson A, Merlin D, Neish AS, Gewirtz AT: TLR5-mediated activation of p38 MAPK regulates epithelial IL-8 expression via posttranscriptional mechanism. Am J Physiol Gastrointest Liver Physiol. 2003, 285: G282-G290.PubMedView ArticleGoogle Scholar
- Cushing L, Stochaj W, Siegel M, Czerwinski R, Dower K, Wright Q, Hirschfield M, Casanova JL, Picard C, Puel A, Lin LL, Rao VR: Interleukin 1/Toll-like receptor-induced autophosphorylation activates interleukin 1 receptor-associated kinase 4 and controls cytokine induction in a cell type-specific manner. J Biol Chem. 2014, 289: 10865-10875. 10.1074/jbc.M113.544809.PubMedPubMed CentralView ArticleGoogle Scholar
- Nguyen T, De Nardo D, Masendycz P, Hamilton JA, Scholz GM: Regulation of IRAK-1 activation by its C-terminal domain. Cell Signal. 2009, 21: 719-726. 10.1016/j.cellsig.2009.01.010.PubMedView ArticleGoogle Scholar
- Westbrook J, Feng Z, Chen L, Yang H, Berman HM: The protein data bank and structural genomics. Nucleic Acids Res. 2003, 31: 489-491. 10.1093/nar/gkg068.PubMedPubMed CentralView ArticleGoogle Scholar
- Abagyan R, Frishman D, Argos P: Recognition of distantly related proteins through energy calculations. Proteins. 1994, 19: 132-140. 10.1002/prot.340190206.PubMedView ArticleGoogle Scholar
- Joosten K, Cohen SX, Emsley P, Mooij W, Lamzin VS, Perrakis A: A knowledge-driven approach for crystallographic protein model completion. Acta Crystallogr D Biol Crystallogr. 2008, 64: 416-424. 10.1107/S0907444908001558.PubMedPubMed CentralView ArticleGoogle Scholar
- Morozov AV, Kortemme T: Potential functions for hydrogen bonds in protein structure prediction and design. Adv Protein Chem. 2005, 72: 1-38. 10.1016/S0065-3233(05)72001-5.PubMedView ArticleGoogle Scholar
- Fernandez-Recio J, Totrov M, Skorodumov C, Abagyan R: Optimal docking area: a new method for predicting protein-protein interaction sites. Proteins. 2005, 58: 134-143. 10.1002/prot.20285.PubMedView ArticleGoogle Scholar
- Chen H, Zhou HX: Prediction of interface residues in protein-protein complexes by a consensus neural network method: test against NMR data. Proteins. 2005, 61: 21-35. 10.1002/prot.20514.PubMedView ArticleGoogle Scholar
- Bradford JR, Westhead DR: Improved prediction of protein-protein binding sites using a support vector machines approach. Bioinformatics. 2005, 21: 1487-1494. 10.1093/bioinformatics/bti242.PubMedView ArticleGoogle Scholar
- Mendoza-Barberá E, Corral-Rodríguez MA, Soares-Schanoski A, Velarde M, Macieira S, Messerschmidt A, López-Collazo E, Fuentes-Prior P: Contribution of globular death domains and unstructured linkers to MyD88. IRAK-4 heterodimer formation: an explanation for the antagonistic activity of MyD88s. Biochem Biophys Res Commun. 2009, 380: 183-187. 10.1016/j.bbrc.2009.01.069.PubMedView ArticleGoogle Scholar
- Neumann D, Kollewe C, Pich A, Cao P, Resch K, Martin MU: Threonine 66 in the death domain of IRAK-1 is critical for interaction with signaling molecules but is not a target site for autophosphorylation. J Leukoc Biol. 2008, 84: 807-813. 10.1189/jlb.0507290.PubMedView ArticleGoogle Scholar
- Seppen J, Rijnberg M, Cooreman MP, Oude Elferink RP: Lentiviral vectors for efficient transduction of isolated primary quiescent hepatocytes. J Hepatol. 2002, 36: 459-465. 10.1016/S0168-8278(01)00308-7.PubMedView ArticleGoogle Scholar
- van Lent AU, Dontje W, Nagasawa M, Siamari R, Bakker AQ, Pouw SM, Maijoor KA, Weijer K, Cornelissen JJ, Blom B, Di Santo JP, Spits H, Legrand N: IL-7 enhances thymic human T cell development in "human immune system" Rag2−/−IL-2Rgammac−/− mice without affecting peripheral T cell homeostasis. J Immunol. 2009, 183: 7645-7655. 10.4049/jimmunol.0902019.PubMedView ArticleGoogle Scholar
- Kobayashi H, Nolan A, Naveed B, Hoshino Y, Segal LN, Fujita Y, Rom WN, Weiden MD: Neutrophils activate alveolar macrophages by producing caspase-6-mediated cleavage of IL-1 receptor-associated kinase-M. J Immunol. 2011, 186: 403-410. 10.4049/jimmunol.1001906.PubMedPubMed CentralView ArticleGoogle Scholar
- Martin M, Katz J, Vogel SN, Michalek SM: Differential induction of endotoxin tolerance by lipopolysaccharides derived from Porphyromonas gingivalis and Escherichia coli. J Immunol. 2001, 167: 5278-5285. 10.4049/jimmunol.167.9.5278.PubMedView ArticleGoogle Scholar
- de Vos AF, Pater JM, van den Pangaart PS, de Kruif MD, van 't Veer C, van der Poll T: In vivo lipopolysaccharide exposure of human blood leukocytes induces cross-tolerance to multiple TLR ligands. J Immunol. 2009, 183: 533-542. 10.4049/jimmunol.0802189.PubMedView ArticleGoogle Scholar
- Ghoorah AW, Devignes MD, Smaïl-Tabbone M, Ritchie DW: Protein docking using case-based reasoning. Proteins. 2013, ᅟ: ᅟ-doi:10.1002/prot.24433. [Epub ahead of print]Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.