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Suppression of LPS-Induced TNF-α Production in Macrophages by cAMP Is Mediated by PKA-AKAP95-p105 1Alliance for Cellular Signaling, Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA 2Alliance for Cellular Signaling, Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA *These authors contributed equally to this work †Present address: Department of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA. ‡Present address: TMT Observatory Corporation, Pasadena, CA 91125, USA. §Present address: Children's Hospital Los Angeles, Los Angeles, CA 90027, USA. Present address: Xencor, Monrovia, CA 91016, USA.¶Present address: Astellas Research Institute of America, Skokie, IL 60077, USA. #Present address: Cadent Medical Communications, Irving, TX 75063, USA. **Present address: Truman College, Chicago, IL 60640, USA. ††Present address: Massachusetts General Hospital, Boston, MA 02114, USA. ‡‡Present address: Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bldg. 33, Rm. 3W20B.4, 33 North Drive, MSC-8180, Bethesda, MD 20892, USA. §§To whom correspondence should be addressed. Email: fraseri/at/niaid.nih.gov The publisher's final edited version of this article is available at Sci Signal.Abstract The activation of macrophages through Toll-like receptor (TLR) pathways leads to the production of a broad array of cytokines and mediators that coordinate the immune response. The inflammatory potential of this response can be reduced by compounds, such as prostaglandin E2, that induce the production of cyclic adenosine monophosphate (cAMP). Through experiments with cAMP analogs and multigene RNA interference (RNAi), we showed that key anti-inflammatory effects of cAMP were mediated specifically by cAMP-dependent protein kinase (PKA). Selective inhibitors of PKA anchoring, time-lapse microscopy, and RNAi screening suggested that differential mechanisms of PKA action existed. We showed a specific role for A kinase-anchoring protein 95 in suppressing the expression of the gene encoding tumor necrosis factor-α, which involved phosphorylation of p105 (also known as Nfkb1) by PKA at a site adjacent to the region targeted by inhibitor of nuclear factor κB kinases. These data suggest that crosstalk between the TLR4 and cAMP pathways in macrophages can be coordinated through PKA-dependent scaffolds that localize specific pools of the kinase to distinct substrates. INTRODUCTION The activation of Toll-like receptors (TLRs) triggers a complex cellular response that activates multiple intracellular signaling pathways (1–3). Control of the activation of these pathways in monocyte-derived cells is critical; excessive activation can lead to chronic inflammatory disorders, whereas insufficient activation can render the host susceptible to infection. In the case of the TLR pathways, several mechanisms of feedback control have been identified involving negative regulators that are induced by activation of TLRs (4–7). Bacterial pathogens have also developed mechanisms to evade the host response through the inhibition of signaling by mitogen-activated protein kinase (MAPK) and nuclear factor κB(NF-κB) proteins (8, 9), which constitute two of the major signaling pathways activated by TLRs. Macrophages represent one of the key cell types in the innate immune system. To further understand the strategies that these cells use to modulate the innate immune response, we focused on the effects of the induction of cyclic adenosine monophosphate (cAMP) production on the processes mediated by TLR activation. In previous work, we showed that all combinations of TLR ligands [lipopolysaccharide (LPS), PAM2CSK (P2C), PAM3CSK (P3C), and resiquimod-848 (R848)] when added to macrophages with ligands that induced the production of cAMP [isopreternol (ISO) and prostaglandin E2 (PGE2)] showed nonadditive outputs in the secretion of select cytokines, which suggests the existence of conserved mechanisms of crosstalk between these pathways (10, 11). The production of TLR-dependent proinflammatory cytokines such as tumor necrosis factor-α (TNF-α) and macrophage inflammatory protein 1α (MIP-1α) is substantially suppressed in the presence of PGE2 or ISO, whereas the secretion of cytokines associated with anti-inflammatory activity in macrophages, such as interleukin-10 (IL-10) and granulocyte colony-stimulating factor (G-CSF), is markedly increased in the presence of PGE2 or ISO. It is well established that cAMP elicits an anti-inflammatory effect on the immune system (12), but the cellular and molecular mechanisms underlying these effects in monocyte-derived cells have not been clearly elucidated (13–22). We chose to study the interactions between these signaling pathways to gain insight into the mechanisms used by the cell to modulate the TLR response in a context-dependent manner. Here, we showed that the effects of cAMP on LPS-induced cytokine secretion in the RAW 264.7 macrophage cell line were dependent on cAMP-dependent protein kinase (PKA) and that most of these effects also required specific localization of the kinase through A kinase-anchoring proteins (AKAPs). Moreover, differential effects of cAMP on the production of pro- and anti-inflammatory cytokines were mediated by different classes of AKAP-PKA complexes. Specific investigation of cAMP-dependent suppression of LPS-induced expression of TNF-α uncovered a pathway through which AKAP95-targeted PKA modulated the NF-κB pathway through phosphorylation of p105 (also known as Nfkb1). RESULTS Proximal mediators of the effects of PGE2 on LPS-induced expression of cytokine genes in RAW 264.7 cells To determine whether the observed effects of cAMP on LPS-induced secretion of cytokines in RAW 264.7 cells (10, 11) were observed at the level of gene transcription, we carried out real-time, reverse transcription polymerase chain reaction (RT-PCR) analysis of the abundance of TNF-α, MIP-1α, IL-10, and G-CSF messenger RNAs (mRNAs) in RAW cells stimulated with LPS, PGE2, or both ligands. The suppressive effect of PGE2 on LPS-induced secretion of TNF-α and MIP-1α secretion was also observed at the level of transcription (Fig. 1, A and B
Because PGE2 activates members of a receptor family (EP1 to EP4) that signal through a range of heterotrimeric guanine nucleotide-binding protein (G protein) families to stimulate either cAMP or Ca2+ signals (23), we wanted to confirm that the effects of PGE2 on cytokine production were mediated by cAMP. In experiments with the cell-permeable cAMP analog 8Br-cAMP, we observed a robust suppression of LPS-induced expression of TNF-α and MIP-1α and an enhancement in LPS-induced expression of IL-10 and G-CSF (Fig. 1, E and F The primary mediator of the cellular response to cAMP is the cAMP-dependent protein kinase (PKA) (24); however, studies have identified another important cellular target of cAMP, the guanine nucleotide exchange factor known as exchange protein activated by cAMP (EPAC) (25). Assessment of PKA and EPAC isoforms by microarray analysis and quantitative PCR (qPCR) assays suggested that mRNA transcripts of PKA-RIα, PKA-RIIα, PKA-RIIβ, PKA-Cα, PKA-Cβ, EPAC1, and EPAC2 were found in RAW 264.7 cells (fig. S1). Other studies of macrophages have suggested that the cAMP-dependent suppression of LPS-induced production of TNF-α is mediated by PKA, whereas the inhibition of phagocytic activity by cAMP is mediated by EPAC (13, 20, 22). The implication that PKA controls the production of TNF-α has generally been based on use of the chemical inhibitor of PKA, H-89; however, we have found that the use of H-89 in RAW cells to inhibit PKA activity gives inconsistent results, with incomplete reversal of cAMP-mediated suppression of LPS-induced production of TNF-α (10). Here, we used two approaches to address which target of cAMP was responsible for the modulation of LPS-induced expression of cytokine genes. First, we used analogs of cAMP that were developed to be selective for PKA and EPAC (26), and we determined their effect on LPS-induced production of TNF-α and MIP-1α. Suppression of LPS-induced secretion of TNF-α or MIP-1α (Fig. 1G To test this hypothesis more directly, we performed additional experiments to knockdown PKA through RNA interference (RNAi) technology. Because both the α and the β isoforms of the PKA catalytic subunit are found in RAW cells, we took advantage of our previously described vector platform for multigene RNAi (27). Because RAW cells are intractable to high-efficiency transfection with short interfering RNA (siRNA), we developed retroviral vectors that enabled the expression of multiple microRNA (miR)-based short hairpin RNAs (shRNAs) from a single transcript (Fig. 2A
To determine whether these cells displayed compromised PKA signaling, we assessed the phosphorylation status of a known substrate of PKA, the vasodilator-stimulated phosphoprotein (VASP) (29), in response to an increase in cAMP concentration. We saw no reduction in the abundance of phosphorylated VASP in response to 8Br-cAMP when either PKA-Cα or PKA-Cβ subunit was depleted, which suggested that the subunits were functionally redundant with respect to phosphorylation of VASP (Fig. 2C Distinct PKA-dependent mechanisms for modulation of LPS-induced cytokines It is well known that many of the cellular effects of PKA are controlled by localization of the kinase to specific cellular compartments. This is achieved by the specific interaction of the regulatory subunits of PKA with AKAPs, which position the kinase in close proximity to its substrate(s) (30, 31). To determine whether the PKA-dependent modulation of LPS-induced activation of macrophages required anchoring of the kinase, we used peptides designed to disrupt interactions between AKAPs and PKA. The prototypical PKA-anchoring inhibitor peptide, Ht31, primarily disrupts interactions between AKAPs and the type II PKA holoenzyme through its nanomolar affinity for the type II regulatory subunit (RII) (Fig. 3A
We then proceeded to determine how these peptides affected the ability of PGE2 to modulate LPS-induced expression of cytokine genes. The Ht31 peptide reversed the PGE2-dependent attenuation of the LPS-induced expression of TNF-α and MIP-1α, but had no effect on PGE2-dependent enhancement of LPS-induced expression of IL-10 and G-CSF (Fig.3, B to E It has been proposed that the molecular basis for cAMP-dependent suppression of the LPS-induced expression of TNF-α involves competition for transcriptional cofactors by the transcription factor cAMP response element-binding protein (CREB). A mechanism was proposed whereby activated CREB competes directly with NF-κB for common cofactors, such as CREB-binding protein (CBP)/p300, which leads to reduced NF-κB-mediated transcription of TNF-α (14, 16). To address whether this mechanism contributed to the cAMP-dependent suppression of LPS-induced expression of TNF-α in RAW cells, we generated a RAW cell line stably expressing a CREB1a-specific shRNA with the same retroviral approach described earlier. We were able to achieve consistent knockdown of about 80% of CREB1a in this cell line (fig. S3). We then compared the cAMP-dependent modulation of the expression of cytokine genes in this cell line (shCreb) to that of a control line expressing a shRNA against luciferase (shLuc). We saw no difference in the cAMP-dependent modulation of the expression of TNF-α, MIP-1α,or G-CSF in these cell lines (Fig. 3, F, G, and I Evaluation of the NF-κB pathway as a target for PKA-dependent modulation of macrophage activation LPS-induced activation of macrophages leads to stimulation of the transcription of cytokine genes through both MAPK and NF-κB pathways (1, 2). We speculated that because much of the crosstalk between the PKA and TLR4 pathways appeared to be independent of CREB, PKA might directly influence the degree of activation of the MAPK or NF-κB pathways by LPS. In experiments with phosphospecific antibodies specific for multiple MAPKs, including p38 MAPK, c-Jun N-terminal kinase (JNK), and extracellular signal-regulated kinase (ERK), we observed robust increases in phosphorylation in response to LPS; however, PGE2 had no effect on the degree of activation of any of these MAPKs (fig. S4). We next assessed activation of the canonical NF-κB pathway by measuring the LPS-induced degradation of inhibitor of NF-κB (IκBα) in RAW cells and primary bone marrow-derived macrophages (BMDMs). We observed the characteristic degradation of IκBα followed by recovery of the protein in response to LPS (35), but we did not see any substantial effect of either 8Br-cAMP or PGE2 on this process (Fig. 4, A and B
It has been proposed that the catalytic subunit of PKA has an unusual role in the LPS-induced activation of NF-κB through its cAMP-independent phosphorylation of p65 at Ser276. Ghosh and colleagues proposed that the catalytic subunit of PKA interacts directly with IkBa and that LPS-induced degradation of IκBα releases the kinase to phosphorylate Ser276 of p65 and promote its transactivation potential through the enhanced recruitment of histone acetyltransferases (36, 38). To determine if this mechanism for phosphorylation of p65 is prevalent in RAW cells, we assessed the LPS-induced phosphorylation of p65 at Ser276 in our cell lines depleted of PKA-Cα and PKA-Cβ, but we saw little effect on the phosphorylation at this site, even in cells lacking both catalytic subunits of PKA (Fig. 4C We used electrophoretic mobility shift assay (EMSA) experiments to assess the nuclear accumulation of NF-κB complexes in RAW cells stimulated with LPS for up to 4 hours. We saw robust nuclear accumulation of the canonical NF-κB p50–p65 heterodimer after 30 min of treatment, with gradual loss of the nuclear complex by 4 hours (Fig. 4E In a parallel experimental approach, we generated a RAW cell line stably expressing a green fluorescent protein (GFP)-tagged fusion of the NF-κB p65 protein, which permitted assessment of NF-κB activation by monitoring the translocation of GFP-p65 from the cytosol to the nucleus (42). Activation of these cells by LPS stimulated the nuclear translocation of GFP-p65, as measured by time-lapse confocal microscopy (Fig. 5, A to D
Identification of potential mediators of cAMP-TLR crosstalk upstream of the expression of TNF-α The effects observed with the Ht31 peptide suggested that a type II PKA-AKAP interaction might underlie the attenuation of LPS-induced expression of TNF-α by cAMP. To investigate this further, we used RNAi to target AKAPs found in RAW cells. A combination of microarray analysis, qPCR assays, and Western blot-based PKA binding analysis suggested that a group of 10 AKAP proteins were detectable in RAW cells (fig. S6). We used RNAi to deplete these proteins in RAW cells before assessing PGE2-dependent attenuation of LPS-induced expression of TNF-α. We found that the inhibition of LPS-induced expression of TNF-α by PGE2 was lost in RAW cells depleted of AKAP95 (also known as AKAP8) (Fig. 6A
We previously generated a library from macrophage mRNA and identified several candidate binding partners for AKAP95 through yeast two-hybrid experiments (http://www.signaling-gateway.org/data/Y2H/cgi-bin/y2h_int.cgi?id=18288). Several proteins identified in this screen suggested a potential role for AKAP95 in the modulation of macrophage activation pathways. We were particularly interested in the identification of a component of the NF-κB family, p105 (also known as Nfkb1), which represents both the precursor protein for p50 and, in the full-length p105 polypeptide, a protein with potential IκB function(43). A schematic of the domain structure of both AKAP95 and p105 highlights the regions of potential interaction on the basis of the protein fragments that interact in yeast (Fig. 6B Requirement for AKAP95-mediated anchoring of PKA for cAMP-dependent suppression of TNF-α expression in primary macrophages To assess the role that AKAP95-mediated targeting of PKA might play in the effects of cAMP on primary macrophages, we isolated BMDMs from mice expressing a gene-trapped mutant of AKAP95 that does not bind to PKA (45) (AKAP95GT). In BMDMs from wild-type (WT) mice, PGE2 attenuated the LPS-induced expression of TNF-α (Fig. 7A
Functional implications of PKA-mediated phosphorylation of p105 Signals that promote the activation of NF-κB in macrophages lead to phosphorylation of IκB family proteins by the IKK family (47). Accordingly, p105 is phosphorylated by IKKs on numerous Ser residues near its C terminus, which triggers its degradation through a proteasome-dependent pathway (48, 49). We noticed that murine p105 contains a consensus PKA phosphorylation site (RKLS940F) adjacent to its IKK target sites, and that this sequence is conserved in other mammalian p105 paralogs. To assess whether this sequence could be phosphorylated by PKA, we expressed and purified the sequence as a glutathione S-transferase (GST) fusion protein, which we used for in vitro kinase assays. We used the sequence around Ser157 in the VASP protein as a positive control and showed that this sequence was phosphorylated by PKA in vitro, whereas a sequence in which Ser157 was mutated to Ala was not (Fig. 8A
We assessed whether p105 could be phosphorylated by PKA in intact cells by immunoprecipitating p105 from RAW 264.7 cells in which PKA activity had been increased by treatment with either calyculin A or a combination of calyculin A and 8Br-cAMP. In experiments with a phosphospecific antibody raised against a consensus PKA sequence, we observed the appearance of a phosphoprotein of 105 kD after activation of PKA (Fig. 8C We speculated that cAMP-induced phosphorylation of p105 at Ser940 might influence the LPS-induced, IKK-mediated phosphorylation of murine p105 at an adjacent Ser residue, Ser935, which is a prerequisite for degradation of p105 (48, 49). LPS induced the phosphorylation of p105 at Ser935 in WT BMDMs, and this was attenuated by PGE2, especially at 20 and 30 min (Fig. 8, E and G DISCUSSION In this report, we investigated the mechanisms underlying crosstalk between the TLR4 and cAMP pathways in macrophages. The suppressive effect of cAMP on the activation of immune cells has been known for many years (12). In monocyte-derived cells, cAMP attenuates LPS-induced production of proinflammatory cytokines such as TNF-α (13, 15, 16, 18, 20, 22) and MIP-1α (17), whereas it enhances the production of mediators with more anti-inflammatory effects on macrophages, such as IL-10 (51) and G-CSF (52–54). Some studies have used analogs of cAMP to address the relative contributions of the most likely cAMP effectors: PKA and EPAC, to inhibiting the production of TNF-α (20, 22); however, most previous studies have used the inhibitor H-89 to implicate PKA in cAMP-mediated effects. Although potent in its inhibition of PKA, H-89 also shows strong inhibitory activities against other kinases, including MSK1, Rho-associated kinase 2 (ROCK2), S6 kinase 1, and Akt (55). Our data from experiments with selective cAMP analogs and RNAi specific for catalytic subunits of PKA showed that the effects of cAMP on LPS-induced expression of TNF-α, MIP-1α, IL-10, and G-CSF in RAW 264.7 cells were all PKA dependent; however, we found that H-89 inconsistently reversed the effects of cAMP in repeated experiments in RAW cells. This may have been caused by inhibition of some kinases (mentioned above) that can influence macrophage activation, and emphasizes that caution should be taken in interpreting results from experiments with inhibitors that can act on multiple kinases. The ability to express miRNA-based shRNAs specific for both catalytic isoforms of PKA from a single retrovirus (27) was vital to determining the contribution of PKA to the effects of cAMP on LPS-induced expression of cytokine genes (Fig. 2 Previous studies have suggested roles for AKAPs in various immune cell functions (34, 60–62), and a report identified AKAP13 as a regulator of TLR2-induced signaling in the human monocyte cell line THP-1 (63). The use of selective PKA-anchoring inhibitor peptides enabled us to assess whether specific cellular localization of either type I or type II PKA was required for cAMP-mediated modulation of the expression of LPS-induced cytokine genes. Suppression of the expression of genes encoding proinflammatory cytokines by cAMP signaling was specifically reversed by delocalization of type II PKA, whereas the cAMP-mediated enhancement of the expression of G-CSF was specifically reversed by the delocalization of type I PKA. This suggests that divergent patterns of gene transcription could result from differential localization of type I and type II PKA holoenzymes, through their association with specific AKAPs (fig. S2), to substrates that activate different regulatory circuits and influence different transcriptional outcomes. On the other hand, we showed that the PKA-dependent enhancement of LPS-induced expression of IL-10 did not depend on localization of the kinase, but, in contrast to the other cytokine genes tested, did require the presence of CREB. CREB is activated by its phosphorylation by PKA at Ser133; however, the PKA-mediated enhancement of LPS-induced expression of IL-10 did not appear to be simply a summation of its expression induced by LPS and that induced by cAMP alone. Although expression of IL-10 was CREB dependent, we detected negligible expression of IL-10 in response to cAMP induced in response to PGE2 (Fig. 1C To address potential points of crosstalk between cAMP and the TLR4 pathway, we assessed the activation state of established intermediates in the TLR4 signaling cascade. Although previous reports from studies in THP-1 cells suggested that p38 MAPK is a potential site of crosstalk (16), we found no effect of increased cAMP concentration on the LPS-induced phosphorylation of p38, JNK, or ERK proteins in RAW 264.7 cells (fig. S4). Similarly, another point of interaction between these pathways proposed from studies in THP-1 cells, cAMP-dependent attenuation of IKK activity and the subsequent degradation of IκBα (16), was not observed in our studies (Fig. 4, A and B In RAW 264.7 cells, our data suggest that cAMP had specific effects on the activation dynamics of NF-κB proteins. A slowed nuclear accumulation of the p50–p65 heterodimer in the first hour after LPS stimulation was shown by both time-lapse microscopy (Fig. 5 Our data on AKAP95 and p105 provide insight into the mechanistic basis of the early effect of cAMP on gene expression, which is of particular relevance to the amount of TNF-α released from activated macrophages in the early stages of infection. This is especially important in sepsis, in which high concentrations of TNF-α have serious pathological consequences (64). Our RNAi screen of the AKAPs found in RAW cells suggested that the targeting of PKA by AKAP95 was necessary for PGE2 to mediate suppression of LPS-induced expression of TNF-α, and the data from experiments with BMDMs derived from AKAP95GT mice, which expresses a truncated AKAP95 protein that cannot bind to PKA (45), supported the hypothesis that it was the PKA-targeting function of AKAP95 that was important in this regard. It is noteworthy that only the early suppression (30 and 60 min) by PGE2 of the expression of TNF-α was lost in the AKAP95GT mouse, whereas the suppressive effect of cAMP in BMDMs from these mice was comparable to that of BMDMs from WT mice at 2 and 4 hours (Fig. 7, C and D The initial identification of p105 as a putative binding partner for AKAP95 in the Alliance for Cellular Signaling (AfCS) yeast two-hybrid screen emphasizes the value of this data resource (http://www.signaling-gateway.org/data/Y2H/cgi-bin/y2h.cgi). Moreover, the coordinates of the p105 and AKAP95 protein fragments isolated from the yeast two-hybrid screen provided additional insight to the nature of the interaction between them (Fig. 6B The identification of a PKA phosphorylation site in the C-terminal region of p105 suggests that p105 is a candidate substrate for AKAP95-targeted PKA. This PKA site is adjacent to several well-known IKK target sites (48, 49), phosphorylation of which promote degradation of p105. Although p105 is a member of the IκB family (66), it has not been conclusively shown that it can function as a genuine IκB; that is, it has not been shown to undergo stimulus-dependent degradation to release transcription-promoting NF-κB dimers (67, 68). Although we did not directly show an IκB-type function for p105 in our study, we provided evidence that the stimulus-dependent phosphorylation of p105 by IKK was inhibited by PGE2, and that the loss of this inhibitory effect in the AKAP95GT mouse (Fig. 8F The possibility that these early complexes are not inhibited by the canonical IκB proteins is supported by the observation that PGE2 had no effect on LPS-induced degradation of IκB in primary macrophages (Fig. 4B In summary, our results provide substantial insight into the mechanisms by which cAMP promotes its anti-inflammatory effects in macrophages. They suggest that production of this second messenger leads to a pattern of signaling that can modulate the activation of macrophages through the TLR4 pathway at multiple levels (Fig. 9
MATERIALS AND METHODS Reagents Reagent sources were as follows: LPS and PGE2 (Sigma), LPS-binding protein (LBP, R&D Systems), 8Br-cAMP (Calbiochem), 8-pCPT-2′OMe-cAMP and 6Bz-cAMP (Axxora), Ht31 and Ht31c peptides (Promega), RIAD (LEQYANQLADQIIKEATE-Arg11) and scRIAD (IEKELAQQYQNADAITLE-Arg11) peptides (custom synthesized by SynBioSci Corporation, purified to >80% purity). Protocols for reagent preparation and additional procedures are provided on the AfCS Web site (http://www.signaling-gateway.org/data/ProtocolLinks.html), and are referenced by protocol number. Cell culture and ligand treatment RAW 264.7 cells were obtained from the ATCC and were cultured according to AfCS protocol PP00000159. BMDMs were isolated from either WT or AKAP95GT mice [provided by W. Frankel (45)] on the C57BL/6 background and cultured according to AfCS protocol PP00000172. Before their use in assays, RAW 264.7 cells and BMDMs were cultured for 24 hours in tissue culture-treated plates. Fresh culture medium was added to cells 1 hour before the addition of ligands, which were prepared as 10× premixes. In experiments involving Ht31 and RIAD peptides, cells were pretreated with peptides for 30 min before stimulation with ligands. Measurement of secreted cytokines RAW cells were cultured and stimulated as described above, and after 4 hours of incubation, the supernatants were harvested and centrifuged for 5 min at 300g. Aliquots were prepared and frozen until ready for cytokine measurements. G-CSF, IL-10, MIP-1α, and TNF-α were quantified with the Bio-Plex cytokine array system (Bio-Rad Laboratories, Hercules, CA) with a custom-prepared mouse cytokine assay kit for G-CSF and IL-10 and individual kits for TNF-α (Bio-Rad, 171G12221) and MIP-1α (Bio-Rad, X600004QE0). RNA interference Generation of miR-shRNAs targeting the PKA-Cα and PKA-Cβ subunits has been described previously (27). The miR-shRNA against murine CREB1a targeted the following sequence, 5′-GCAAGAGAATGTCGTAGAA-3′. The efficacy of the CREB1a miR-shRNA was initially tested by transient expression from the pEN_hUmiRc2 vector (71). The validated shRNA was subcloned into a retroviral expression platform by removal of the U6 promoter by digestion with Sal I and subsequent Gateway LR recombination to the pDS_FBneo vector (27). Production of retroviruses and creation of stable RAW cell lines were carried out as previously described (27). RAW cells were transiently transfected with AKAP-specific siRNAs following a previously described protocol (72). All siRNAs were siGenome SMARTpools purchased from Dharmacon. Quantitative PCR The abundance of mRNAs of cytokines in RAW 264.7 cells after ligand stimulation and the abundance of mRNAs targeted by RNAi were assessed by qPCR (BioRad, iCycler), following a previously described protocol (72). Sense and antisense amplification primers and probe primer sequences (where appli- cable) were as follows: TNF-a,5′-CTCAAAATTCGAGTGACAAGCCTG-3′, 5′-ATCGGCTGGCACCACTAGTT-3′,and 5′-FAM-AGCCCACGTCGTAG- CAAACCACCA-BHQ1-3′; MIP-1a,5′-CTCTGTCACCTGCTCAACATCA-3′, 5′-TGGAATCTTCCGGCTGTAGGA-3′,and 5′-TexasRed-AGGTCTC- CACCACTGCCCTTGCTG-BHQ2-3′; IL-10,5′-TCGGAAATGATC- CAGTTTTACCTG-3′,5′-TCACAGGGGAGAAATCGATGAC-3′,and 5′-TexasRed-AGCCGCATCCTGAGGGTCTTCAGC-BHQ2-3′; G-CSF,5′- CGTTCCCCTGGTCACTGTCA-3′,5′-GGGTGACACAGCTTG- TAGGTG-3′,and 5′-FAM-CGCTCTGCCACCATCCCTGCCTCT-BHQ1-3′; PKA-Ca,5′-CTCCCACCCTCCAAACTGTC-3′,5′-GACAGGGT- CAGTTGGCTACC-3′, and 5′-FAM-ACCCTCCCCAAACACCCTCCT- CAC-BHQ1-3′; PKA-Cb;5′-GATGGAATGTCTTGTCAGCATGG-3′, 5′-TCGTCCAGGAGTCCTCACTG-3′, and 5′-TexasRed-AGGCGCTCT- GACTCACTGCTGCAT-BHQ2-3′; Creb1a,5′-CCCAGCACTTCCTACA- CAGCCT-3′,5′-ATTGCCCCTGGAGTTGTTATGG-3′;and the b-actin reference, 5′-TCCATGAAATAAGTGGTTACAGGA-3′,5′-CAGAAG- CAATGCTGTCACCTT-3′,and 5′-HEX-TCCCTCACCCTCCCAAAAGC- CACC-BHQ1-3′. Nuclear translocation of p65 The complementary DNA (cDNA) encoding the GFP-p65 fusion protein wasexcisedasanNhe I-Bam HI fragment (from a plasmid provided by D. Baltimore's laboratory) and subcloned into the pIRES1-Neo plasmid (AfCS barcode M0084IR1NEOK). The GFP-p65-IRES1-Neo cassette was excisedbydigestionwithNheIand Hpa I andinsertedattheNheIand PshA I sites of the pL_UX vector (AfCS barcode M0085PLUX01A) to generate pL_Ubi-GFPp65-IRES-Neo (AfCS barcode M0375UGP65NA). Lentivirus was generated from pL_Ubi-GFPp65-IRES-Neo and used to create a stable RAW cell line as previously described (72). The GFP-p65 RAW cell line was maintained according to AfCS protocol PP00000159. Cells were plated at a density of 5 × 105 cells in 35-mm glass-bottom microwell dishes coated with poly-D-lysine (Mat Tek) the day before trans- location experiments were performed. The cells were replenished with 1.8 ml of fresh media 30 min before stimulation. Cells were pretreated with either media alone or 8Br-cAMP for 5 min before stimulation with either LPS (100 ng/ml LPS + 250 pM LBP) or LPS and 8Br-cAMP (100 mM), re- spectively. Images weretakenevery 2min from10to60 min afterstim- ulation on a confocal microscope with a 63x oil lens. GFP was excited at 488 nm and emission spectra were collected over the range 505 to 550 nm. For analysis of protein translocation data, cell and nucleus outlines were identified and input manually into a custom-written computer program; the program then extrapolated feature shapes for all frames throughout the time course, and performed fluorescence intensity integrations. Frac- tion nuclear values were computed as quotients of nuclear fluorescence to total cellular fluorescence, computed after background subtraction. Western blotting analysis The amounts of total protein in RAW 264.7 cells were determined by a previously described Western blotting protocol (72). Cytosolic and nuclear fractions were generated with the NE-PER kit (Pierce, Thermo Fisher); cytosolic and particulate fractions were isolated with a kit from Biovision (#K267-50). The following antisera were used: anti-PKA-Ca (Cell Signaling Technology, #4782), anti-PKA-Cb (Santa Cruz Biotechnology, sc-904), anti-PKA RIa (Biogenesis, 0200-0356), anti-PKA RIIb (BD #610626), anti-IkBa (Santa Cruz Biotechnology, sc-371), anti-AKAP95 [provided by V. Coghlan (44)], anti-p105 Ab1 [#1140 (66) obtained from NCI repository], anti-p105 Ab2 (Santa Cruz Biotechnology, sc-114), anti- hnRNPL (Santa Cruz Biotechnology, sc-28726) and anti-Rho GDI (BD Biosciences, R26320). The abundance of phosphorylated proteins was as- sessed by AfCS protocols PP00000177 and PP00000181 with the following antisera: anti-pVASP (Cell Signaling Technology, #3111), anti- pp65 (Cell Signaling Technology, #3037), anti-pPKA consensus (Cell Signaling Technology, #9621), and anti-pp105 (Cell Signaling Technol- ogy, #4806). Electrophoretic mobility shift assay Nuclear extracts were isolated with the NE-PER kit (Pierce). An NF-κB consensus probe (73) was biotinylated by the Biotin 3′ End DNA-Labeling Kit (Pierce). Following the LightShift Chemiluminescent EMSA kit protocol (Pierce), 6 μg of nuclear extract was incubated with 40 fmol of labeled probe. Supershift reactions were performed with antibodies against p50 (Santa Cruz Biotechnology, SC-114X) or p65 (Santa Cruz Biotechnology, SC-109X). Immunoprecipitations Mammalian expression constructs were generated for murine AKAP95 and p105 with the Gateway system as previously described (74). HEK 293 cells were transfected with FLAG-AKAP95 and Myc-p105 with Lipofectamine 2000 (Invitrogen) following the manufacturer's protocol. Protein complexes were immunoprecipitated 48 hours after transfection from detergent-soluble cell lysates with a standard protocol (75). Cytosolic and nuclear fractions were generated from RAW 264.7 cells and BMDMs with the NE-PER kit (Pierce, Thermo Fisher). Immunoprecipitations were carried out with the two antisera against p105 described above and following standard procedures (75). In vitro PKA assay GST fusion proteins representing 25 amino acid sequences encompassing Ser940 of murine p105 or Ser157 of human VASP were expressed in pGEX-4T-1 (Promega) and purified. Control proteins were generated in which these Ser residues were substituted with Ala. In vitro PKA phosphorylation reactions were performed with the Kinase-Glo assay (Promega) according to the manufacturer's protocol. Site-directed mutagenesis of p105 An entry clone encoding murine p105 was generated as previously described (74), and Ser→Ala and Ser→Asp mutations were introduced at the codon corresponding to Ser940 with the QuikChange mutagenesis kit (Stratagene). Retroviral expression constructs were generated by LR recombination (Invitrogen) to a pFB-Neo-derived destination vector incorporating an N-terminal YFP fusion. RAW cell lines stably expressing YFP-tagged WT and mutant p105 proteins were generated by retroviral infection as previously described (27). 1 Click here to view.(282K, pdf) Acknowledgments This work was supported by National Institute of General Medical Sciences Grant U54 GM062114. We thank L. Cheadle for excellent technical assistance and Alliance for Cellular Signaling colleagues for insight and advice. We are grateful to M. Covert and D. Baltimore for provision of the GFP-p65 construct, V. Coghlan for AKAP95 antisera, and W. Frankel and Y. Yang for the AKAP95GT mice. REFERENCES AND NOTES 1. Akira S, Uematsu S, Takeuchi O. Pathogen recognition and innate immunity. Cell. 2006;124:783–801. [PubMed] 2. Beutler B, Jiang Z, Georgel P, Crozat K, Croker B, Rutschmann S, Du X, Hoebe K. 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