ABSTRACT
In mammals, the circadian clock coordinates various cell physiological processes, including the inflammatory response. Recent studies suggested a crosstalk between these two pathways. However, the mechanism of how inflammation affects the circadian clock is not well understood. Here, we investigated the role of the proinflammatory transcription factor NF-κB in regulating clock function. Using a combination of genetic and pharmacological approaches, we show that perturbation of the canonical NF-κB subunit RELA in the U2OS cellular model altered core clock gene expression. While RELA activation shortened period length and dampened amplitude in these cells, its inhibition lengthened period length and caused amplitude phenotypes. NF-κB perturbation also altered circadian rhythms in the master suprachiasmatic nucleus (SCN) clock and locomotor activity. We show that RELA, like the clock repressor CRY1, potently repressed the transcriptional activity of BMAL1/CLOCK at the circadian E-box cis-element. Biochemical and biophysical analysis showed that RELA competes with coactivator CBP/p300 for binding to the transactivation domain of BMAL1. This mechanism is further supported by chromatin immunoprecipitation analysis showing that the binding sites of RELA, BMAL1 and CLOCK converge on the E-boxes of clock genes. Taken together, these data support a significant role for NF-κB in directly regulating circadian clock function and highlight mutual regulation between the circadian and inflammatory pathways.
INTRODUCTION
Endogenous circadian clocks allow organisms to coordinate behavior, physiology and metabolism to align with the external light-dark cycle (Bass, 2016). Circadian clocks are present in virtually all cells of the body and are coordinated by the master clock in the suprachiasmatic nucleus (SCN) of the hypothalamus (Liu et al., 2007a; Mohawk et al., 2012). The SCN receives photic inputs and relays the light/dark information to peripheral tissues via neural and endocrine signals. In this manner, the SCN coordinates the peripheral oscillators into a coherent timing system (Mohawk et al., 2012). The circadian clock regulates physiological functions in various tissues in mammals, including the immune and inflammatory responses (Labrecque and Cermakian, 2015; Richards and Gumz, 2013; Skarke et al., 2017). Given the physiological importance of circadian timing, it is not surprising that its disruption is associated with a variety of pathological conditions and disease states, including sleep and neuropsychiatric disorders, metabolic syndrome, cardiovascular diseases, and cancer (Takahashi et al., 2008; Zandra E. Walton et al., 2018; Wulff et al., 2010).
In individual cells, the molecular clock is based on a transcriptional/translational negative feedback mechanism, in which activators drive the expression of their own repressors (Takahashi, 2017). More specifically in mammals, the bHLH-PAS domain-containing transcriptional activators BMAL1 and CLOCK form a heterodimeric complex, which binds to the circadian E-box cis-elements to activate transcription of target genes, including Period (PER1, 2, 3) and Cryptochrome (CRY1, 2). The PER/CRY proteins form their own complexes, and upon translocation to the nucleus, suppress BMAL1/CLOCK activity. This core loop interacts with at least two other feedback loops mediated by the circadian D-box and RORE cis-elements. These loops serve to stabilize the core loop and increase system robustness. The molecular clock regulates thousands of output genes that govern cell physiology, largely in a tissuespecific manner (Takahashi, 2017; Zhang et al., 2014).
While the core clock mechanism is well understood and significant progress has been made in characterizing clock outputs, there exist additional clock components and modifiers. In an effort to identify additional clock factors, we carried out a genome-wide RNAi screen in a human U2OS cell model and identified hundreds of genes whose knockdown impacted clock function (Zhang et al., 2009). These genes represent many cellular processes and signaling pathways that serve as inputs and link cellular functions to the clock (Morris et al., 2020; Zhang et al., 2009). These input pathways reflect the extensive interplay between the clock and cell physiology. Several emerging examples include nutrient/energy levels and redox stress (Morris et al., 2020; Reinke and Asher, 2019). In this study, we focused on how the pro-inflammatory nuclear factor-kappa B (NF-kappaB or NF-κB) pathway impacts clock function. NF-κB transcription factors play critical roles in inflammation and immunity, as well as cell proliferation, differentiation, and survival (Oeckinghaus and Ghosh, 2009; Zhang et al., 2017). NF-κB consists of a family of five related transcription factors: RELA (p65), RELB, c-Rel, NFKB1 (p105/p50), and NFKB2 (p100/p52). RELA and RELB each contain a transactivation domain and form dimers with p50 and p52, respectively, with the RELA/p50 complex representing the canonical pathway.
Proinflammatory stimuli such as tumor necrosis factor alpha (TNFα), interleukin 1 (IL-1) and bacterial lipopolysaccharides (LPS) induce the canonical NF-κB pathway. Upon stimulation, the cytosolic RELA/p50 complex translocates to the nucleus to mount a rapid response through transcriptional induction of target genes (Oeckinghaus and Ghosh, 2009; Wu and Shi, 2013; Zhang et al., 2017). As a gatekeeper, inhibitor of NF-κB (IκBα, encoded by NFKBIA) serves as a repressor of NF-κB by virtue of masking its nuclear localization signal and preventing its nuclear entry. IκBα is regulated by the IκB kinase complex (IKK1, IKK2, and NEMO) that phosphorylates and targets IκBα for proteasomal degradation, thereby freeing RELA/p50 to enter the nucleus. In the non-canonical RELB/p52 pathway, the p100 is phosphorylated by IKK1 and then converted to p52; the RELB/p52 dimer subsequently translocates to the nucleus (Oeckinghaus and Ghosh, 2009; Zhang et al., 2017). In this manner, RELA and RELB use different mechanisms to regulate distinct physiological functions.
Here, we characterized the effect of the canonical RELA pathway on the circadian clock. Using genetic and pharmacological approaches, we show that RELA activation altered the expression patterns of core clock genes, resulting in altered circadian rhythms in cellular models and the SCN clock, as well as circadian locomotor behavior. RELA potently repressed E-box-mediated BMAL1/CLOCK transcriptional activity at a steady-state level. Biochemical and biophysical assays revealed a direct interaction between the REL homology domain (RHD) of RELA and the C-terminal regulatory domain (CRD) of BMAL1, centering on the transactivation domain (TAD). Our data suggest that NF-κB competes with CRY1 and coactivator CBP/p300 for binding to the BMAL1 TAD. Together, these results support a significant role for NF-κB in modulating circadian clock function. Given that inflammation and innate immunity are under the control of the circadian clock (Labrecque and Cermakian, 2015; Man et al., 2016), our findings highlight the mutual regulation between these two pathways.
RESULTS
NF-κB alters circadian rhythms in a cellular clock model
Our functional genomic screen identified the NF-κB pathway as a clock modifier in U2OS cells (Zhang et al., 2009). For example, knockdown of NFKBIA (inhibitor of NF-κB, aka IκBα) and IKBKB (IκBα kinase beta, aka IKK-β or IKK2, which activates NF-κB) in these cells caused short and long periods, respectively (Fig. S1A). Consistent with the effect of IκBα knockdown and resultant NF-κB pathway activation, overexpression of a constitutively active IKK2 mutant, IKK2-S177/181E (or IKK2CA) (Mercurio et al., 1997), resulted in an even shorter period length, compared to WT IKK2 (Fig. S1B). Consistent with the IKK2 knockdown effect, continuous exposure to the IKK2 inhibitor TPCA-1 (Du et al., 2012) (Fig. 1A), the naturally-occurring steroidal lactone, withaferin A (WA) (Kaileh et al., 2007) (Fig. S1C), or the orally-bioavailable NF-κB inhibitor, CAT-1041 (Hammers et al., 2016) (Fig. S1D) also caused longer periods in these cells, compared to DMSO control. Taken together, our genetic and pharmacological data support a role for NF-κB in regulating cell-autonomous circadian clocks.
To more directly assess the effect of NF-κB on the clock function, we tested whether overexpression of the canonical NF-κB subunit RELA affects circadian oscillations. For this, we used the adenoviral system to overexpress the mouse Rela gene in U2OS cells. Compared to cells transduced with the empty vector (Ad), cells expressing Ad-Rela were only transiently rhythmic during the first few cycles, with a short period length, and displayed significantly decreased amplitude (Fig. 1B). These results suggest that NF-κB affects clock function.
NF-κB alters core clock gene expression in U2OS cells
To determine how RELA affected circadian oscillations, we measured the expression patterns of core clock genes by quantitative PCR. We focused on the time window of 1.5-2.5 days (or 36-60 h) post synchronization when the clock phenotype was apparent but still maintained rhythmicity. As expected, IL-6 and TNFα, the two classic NF-κB targets, were significantly upregulated in Ad-Rela cells, compared to Ad control (Fig. 1C), suggesting that the exogenous RELA is functional in these cells. The expression patterns of most of the core clock genes in these cells were altered (Figs. 1C and S1E). RELA drastically reduced DBP and PER3 expression at all circadian times. This result is consistent with previous reports showing that LPS and TNFα, known to induce NF-κB activation, caused low levels of DBP in the liver and lung (Cavadini et al., 2007; Haspel et al., 2014; Hong et al., 2018). DBP and PER3 are known to be regulated by the E-box (Baggs et al., 2009; Liu et al., 2008; Takahashi, 2017; Ueda et al., 2005). Further, PER3 is also regulated by the D-box and the blunted DBP (D-box activator) likely contributed to the low PER3 expression. In contrast, BMAL1 was dramatically elevated at all circadian times (Fig. 1C). BMAL1 is known to be controlled by the RORE cis-element and its expression in Ad-Rela cells may be explained by high levels of the RORE activator RORC and low levels of the RORE repressor NR1D1: while NR1D1 was down-regulated during peak hours (36-40 h), its expression was abnormally high during trough hours (52-56 h); in contrast, RORC and RORA levels were abnormally high throughout the circadian cycle (Figs. 1C and S1E). These expression patterns are consistent with previously reported cytokine effects (Cavadini et al., 2007; Haspel et al., 2014; Hong et al., 2018) and with the network features of the molecular clockwork (Baggs et al., 2009; Liu et al., 2008; Ueda et al., 2005).
NF-κB alters circadian rhythms in the SCN clock and locomotor behavior
The NF-κB effect on cell-autonomous clocks raised the possibility that it also affects the master SCN clock. Indeed, we show that treatment with TPCA-1 in SCN explants derived from PER2::LUC fusion (Per2Luc) knockin mice (Yoo et al., 2004) caused long period length (Fig. 2A). To further test this, we infected SCN slices with Ad-Rela. Compared to controls that showed slightly reduced amplitude, SCN slices transduced with Ad-Rela displayed significantly lower amplitude and rapid loss of rhythmicity, and the period length was significantly shorter during the first few cycles of transient rhythms (Fig. 2B).
Circadian animal behavior is an overt output of the SCN clock (Ko et al., 2010; Liu et al., 2007b; Mohawk et al., 2012). The NF-κB effect on the SCN clock raises the possibility that NF-κB affects the circadian locomotor activity. To test this, we obtained the Camk2a-CreER;LSL-Ikk2CA mouse line. In the LSL-Ikk2CA line, the LoxP-Stop-LoxP (LSL) cassette prevents expression of the constitutively active Ikk2-S177E/S181E (Ikk2CA) (Sasaki et al., 2006). In the Camk2a-CreER line, CreER is conditionally expressed in neural tissues including forebrain, the hypothalamus and the SCN (Izumo et al., 2014; Madisen et al., 2010). Tamoxifen treatment induced deletion of the floxed LSL stop cassette and consequently conditional expression of IKK2CA (Fig. 2C), leading to constitutive NF-κB activation (Sasaki et al., 2006). We performed the wheel-running locomotor activity assay to assess circadian behavioral phenotypes. Control and Ikk2CA mice were entrained to the standard 12h/12h light/dark (LD) cycle for 2 weeks, followed by release to constant darkness (DD) to monitor their endogenous locomotor activity. Like the control mice, Ikk2CA mice were able to entrain to the LD cycle (Fig 2C). Under the LD condition, Ikk2CA mice displayed significantly higher total activity (WT control: 16.72 ± 3.14, n = 6; Ikk2CA: 20.61 ± 4.02, n = 6; p = 0.0914) and dark phase activity than WT controls (WT control: 32.29 ± 7.17, n = 6; Ikk2CA: 43.17 ± 6.43, n = 6; p = 0.0279) (Fig. 2C), indicative of an altered diurnal locomotor behavior. Under the DD condition, the circadian period in Ikk2CA mice was longer than in the controls (Fig 2C; WT control: 23.47 h ± 0.06, n = 6; Ikk2CA: 23.71 h ± 0.04, n = 6; p = 0.0076), indicative of an altered SCN clock function. The period phenotype is modest but significant as observed in other mutant models such as Clock−/−, Nr1d1−/−, and Chrono−/− mice (Anafi et al., 2014; Debruyne et al., 2006; Preitner et al., 2002).
NF-κB represses BMAL1/CLOCK transcriptional activity
The dramatic reduction of E-box genes such as DBP in cells overexpressing RELA raises the possibility that NF-κB more directly affects E-box transcription. To determine the RELA effect on E-box transcription, we performed steady-state reporter assays in transiently transfected HEK 293T cells. We used the Per2::Luc and 3xE-box::Luc reporters, in which Luciferase (Luc) expression is driven either by the mouse Per2 promoter that contains the E-boxes or by three tandem E-box repeats, respectively (Khan et al., 2012; Ramanathan et al., 2012; Yoo et al., 2005). As expected, BMAL1 and CLOCK activated E-box transcription and CRY1 effectively repressed it in both reporters (Fig. 3A). However, both RELA and RELB effectively repressed BMAL1/CLOCK activity, with a potency that is comparable to CRY1 (Fig. 3A). RELB was previously shown to repress E-box expression (Bellet et al., 2012) and our results show that RELA displayed higher E-box repression than RELB. It is noted that, RELA and RELB, known as transcriptional activators, did not activate E-box transcription (Fig. S2A).
There is a considerable level of endogenous NF-κB in 293T cells. We reason that this basal activity would repress E-box transcription. In support of this notion, we show that shRNA knockdown of endogenous RELA relieved this repression, leading to significantly higher levels of reporter activity (Fig. 3B). Similar to RNAi knockdown, inhibition of endogenous IKK2 with TPCA-1 also relieved its repression of BMAL1/CLOCK activity (Fig. 3C). Other inhibitors of the NF-κB pathway such as GSK143, Bay11-7082 and CAT-1041 had similar effects (Fig. S2B).
CRY1 and CRY2 are the canonical repressors of BMAL1/CLOCK. It is possible that NF-κB’s E-box repression is dependent on CRY1 or CRY2. To test this, we performed the reporter assay in Cry1−/−;Cry2−/− mouse fibroblasts (Khan et al., 2012). In these Cry-deficient cells, the endogenous BMAL1 and CLOCK activated the 3xE-box::Luc reporter, which was further upregulated by cotransfected BMAL1 and CLOCK and suppressed by RELA (Fig. 3D). These results indicate that NF-κB represses E-box transcription in a CRY-independent manner.
NF-κB regulates clock genes at the BMAL1/CLOCK-E-box loci
Our data support a model that NF-κB is recruited to the E-boxes of clock genes to repress BMAL1/CLOCK transcription. To test this prediction, we performed chromatin immunoprecipitation (ChIP) and quantitative PCR to determine the action of the endogenous RELA on clock genes including PER2 and DBP that have validated E-boxes (Koike et al., 2012; Ueda et al., 2005). We show that, compared to IgG control, RELA displayed enriched binding to the E-boxes in the promoters of DBP and PER2 (Fig. 3E).
Our data are consistent with a recent study showing that NF-κB targeted Per2 and Dbp in the mouse liver upon LPS treatment (Hong et al., 2018). Given the rich ChIP-seq data in the study (Hong et al., 2018), we mined the publicly accessible datasets to further define how NF-κB coordinates with BMAL1/CLOCK to regulate the E-box genes. ChIP-seq analysis revealed different gene cohorts targeted exclusively by RELA or by BMAL1/CLOCK, but not both. For example, the canonical NF-κB targets such as Nfkb1, Nfkb2, Nfkbia, and Rela, displayed significant RELA binding (Fig. S3A-B and Table S1). Importantly, these genes were not targeted by BMAL1 or CLOCK and no consensus E-boxes were found in the regulatory regions. Similarly, other genes such as Ccne1, Gmfb, Atxn3 and Aven, contain E-boxes but not NF-κB-RE, and these sites were bound by BMAL1 and CLOCK, not by RELA.
Among the peaks bound by BMAL1 (6,114), CLOCK (22,247) and RELA (13,740), 1647 showed binding by all three factors, representing triple overlapping binding. All the core clock genes that are known to be regulated by BMAL1 and CLOCK via the E-box are represented in this cohort, including Per1, Per2, Per3, Cry1, Cry2, Dbp, Nr1d1/Rev-erbα, Nr1d2/Rev-erbβ, Rorc/Rorγ, and Ciart/Chrono (Fig. 3F, Fig. S3C-D and Table S1), as well as Tef, Nfil3/E4bp4, Bhlhe40/Dec1 and Bhlhe41/Dec2 (Table S1). Among these genes, Per1 and Per2 peaks harbor both E-box and NF-κB-RE (Fig. S3C and Table S1), suggesting that their transcription may be regulated by RELA either directly through binding to NF-κB-RE or indirectly through binding to the BMAL1/CLOCK complex. Importantly, however, the triple binding peaks in other clock genes contain E-boxes only, but no consensus NF-κB-REs, indicative of indirect RELA binding on these chromatin sites. These data strongly support our model that NF-κB indirectly represses E-box transcription through complex formation with BMAL1/CLOCK at the E-box.
NF-κB interacts with BMAL1 in the BMAL1/CLOCK complex
Given that many genes (e.g. TNFα, IL-6, BMAL1) are upregulated by RELA (Fig. 1C), NF-κB’s repression on the E-box is unlikely caused by general transcriptional repression. Although known as an activator in the inflammatory response, RELA can repress transcription of some target genes in an HDAC-dependent manner (Perkins, 2007). However, inhibition of HDACs with chemical inhibitors such as nicotinamide and valproic acid did not attenuate RELA repression of E-box transcription (Fig. S2C), arguing against an HDAC-dependent mechanism. Previous studies detected interactions between RELA and CLOCK at NF-κB target genes (Spengler et al., 2012), and between RELB and the BMAL1/CLOCK complex (Bellet et al., 2012). Our data also show that RELA associated with the E-boxes of clock genes (Fig. 3E). As the 3xE-box::Luc reporter does not contain NF-κB cis-response elements and alone is not responsive to NF-κB, it is likely that NF-κB affects E-box transcription via an indirect mechanism. In light of these observations, we hypothesize that RELA repression occurs through direct interactions with BMAL1 and/or CLOCK.
We show that Myc-RELA interacts with Flag-BMAL1 by co-immunoprecipitation (co-IP) and Western Blot analysis (Fig. 4A). The RELA and CLOCK interaction was weak but appeared stronger in the presence of BMAL1 (Fig. S4A-C). Co-IP detected an endogenous interaction between BMAL1 and RELA in WT and Clock−/− cells, but not in Bmal1−/− cells (Figs. 4B and S4D). These results suggest that the complex formation is dependent on BMAL1, but not CLOCK, and the RELA and CLOCK interaction occurred indirectly through BMAL1.
Using electrophoretic gel mobility shift assay (EMSA), we show that both endogenous and ectopically expressed BMAL1 and CLOCK formed a complex with a radio-labeled 14 bp E-box duplex probe (Figs. 4C and S4E). As shown, this ternary complex at the E-box required both BMAL1 and CLOCK, as the complex was absent in mouse fibroblasts deficient in Bmal1 or Clock (Fig. S4E). This binding was effectively competed out with 100-fold excess of unlabeled (or cold) wild type E-box oligomer, but not with cold mutated E-box, confirming the specificity of the E-box complex formation (Fig. S4E). The complex in the EMSA did not show a noticeable difference with or without Myc-RELA, suggesting that RELA itself does not disrupt the BMAL1/CLOCK:E-box complex (Fig. 4C, lanes 1-2). An anti-Myc antibody, but not normal IgG, significantly decreased the complex signal, suggesting that Myc-RELA is part of the BMAL1/CLOCK:E-box complex (Fig. 4C, compare lane 4 with lane 6). The complex was reduced by the anti-Myc antibody, likely caused by a supershift that was not revealed in the gel. Indeed, anti-RELA antibody caused similar changes for both endogenous and exogenous RELA (Fig. 4C, compare lanes 4 and 8, and lanes 3 and 7). Taken together, these data support a model in which NF-κB binds directly to the BMAL1/CLOCK:E-box complex to repress E-box transcription rather than inducing disassembly of the complex.
The RELA RHD domain interacts with the BMAL1 C-terminal regulatory domain
NF-κB functions primarily as a transcriptional activator (Perkins, 2007). We asked whether the NF-κB effect on the E-box is dependent on its transcriptional activity. NF-κB contains an N-terminal Rel homology domain (RHD) and C-terminal transactivation domain (TAD) (Oeckinghaus and Ghosh, 2009; Zhang et al., 2017) (Fig. S5A). Mutation of Serine 281 within the RHD to glutamate (S281E) abolishes NF-κB transcriptional activity (Maier et al., 2003). Using the steady-state reporter assay, we show that RELA-S281E lost its transcriptional activity to induce the NF-κB-RE::dLuc reporter, but was still able to repress the 3xE-box::Luc reporter, despite weaker repression than WT RELA (Fig. S5B). To determine which RELA domain underlies its repression, we generated two truncation constructs, RELA-RHD and RELA-TAD. We found that RELA-RHD, but not RELA-TAD, retains E-box repression activity in the 3xE-box::Luc reporter assay (Fig. S5B). Taken together, these results suggest that the classic NF-κB transcriptional activator activity is not required for its repression of the E-box.
Since RELA and BMAL1/CLOCK form a complex on the E-box, we next determined the specific domains that underlie the interaction. Co-IP detected an interaction between BMAL1 and the RELA RHD, but not the TAD (Fig. 4E). Conversely, we asked which BMAL1 region associates with RELA. The N-terminal core domain (NCD) of BMAL1 contains the bHLH and PAS domains, responsible for dimerization and DNA binding (Huang et al., 2012). Our recent studies found that part of the C-terminal regulatory domain (CRD) coordinates binding to CRY1 and coactivator CBP/p300, and their dynamic interactions plays a critical role in enabling circadian oscillations (Gustafson et al., 2017; Xu et al., 2015). Intriguingly, we show that, like CRY1, RELA also interacted with the BMAL1 CRD (Fig. 4F). These data suggest that RELA impacts clock function likely through competitive binding with CBP/p300. To test this hypothesis, we performed co-IP and Western blot analysis and showed that V5-BMAL1 interacts with both Myc-RELA and CBP. Importantly, Myc-RELA was able to effectively compete with CBP for BMAL1 binding, with increasing amounts of Myc-RELA correlating with decreased amounts of CBP (Fig. 4G). These results further support the mechanism in which RELA competes with CBP for binding to the BMAL1 CRD.
NF-κB binds to the BMAL1 C-terminal transactivation domain
In our previous study, we showed that CRY1 and CBP compete for binding to the transactivation domain (TAD) within the BMAL1 CRD and the shared binding sites center on the IxxLL helical motif within the α-helix of the TAD and on a second cluster of residues in the distal C terminus (Gustafson et al., 2017; Xu et al., 2015) (Fig. 4H). Our results showing that NF-κB binds to the BMAL1 TAD raised the possibility that the same IxxLL motif is involved. To determine the precise binding site of NF-κB on the BMAL1 TAD, we collected 15N HSQC NMR spectra of 15N-labeled TAD in the presence or absence of the RELA RHD and showed that titration of the RELA RHD led to dose-dependent chemical-shift perturbations at residues within the helical motif of the TAD and the distal C terminus, overlapping directly with regions that bind CRY1 and CBP (Fig. 4H). These results confirm the direct interaction between BMAL1 and NF-κB and demonstrate that CBP, CRY1 and NF-κB binding all converge on overlapping binding sites on the BMAL1 TAD.
DISCUSSION
NF-κB is a circadian clock modifier
Our genome-wide RNAi screen uncovered many genes, representing various cellular pathways and functions, that input to and modify the clock (Zhang et al., 2009). The past decade has seen several examples of the integration of circadian clocks directly with cell physiology: AMP-activated protein kinase (AMPK) (Lamia et al., 2009), mTOR and autophagy in response to nutrient and growth signals (Feeney et al., 2016; Lipton et al., 2017; Ramanathan et al., 2018; Toledo et al., 2018; Zandra E Walton et al., 2018), NAD+-dependent deacetylase sirtuin-1 (SIRT1) (Asher et al., 2008; Nakahata et al., 2009, 2008; Ramsey et al., 2009), oxidative stress inducible transcription factor NRF2 (Rey et al., 2016; Wible et al., 2018), and hypoxia inducible factor HIF1α (Adamovich et al., 2017; Peek et al., 2017; Wu et al., 2017). In the present study, we identified NF-κB as a clock modifier and characterized the mechanism of how NF-κB regulates circadian clock function. NF-κB appears to bind to the regulatory sequences of core clock genes to affect their expression even under non-stress conditions. We show that it represses E-box transcription through direct binding to the BMAL1 TAD. In the U2OS cellular clock model, NF-κB activation and inhibition shortened and lengthened circadian rhythm period lengths, respectively, whereas suboptimal NF-κB activity correlated with low amplitude phenotypes (Figs. 1–2 and S1). NF-κB perturbation also altered the SCN clock and circadian behavioral rhythms, as seen in Ikk2CA (Fig. 2) and Ikk2−/− mice (Hong et al., 2018). Taken together, basal NF-κB activity under normal conditions is critical for maintenance of circadian homeostasis and increased NF-κB activity impacts the clock function.
The long period phenotype in Ikk2CA mice (NF-κB constitutive activation) is mechanistically consistent with the short period phenotype observed in Ikk2−/− mice (Hong et al., 2018). However, these behavioral phenotypes (e.g. long period in Ikk2CA mice) are surprising, as cells and SCN explants showed short period phenotype. This phenotypic difference between animal behavior and cell and tissue clocks (as in U2OS and SCN) suggest possible involvement of systemic signals such as those in the neuroendocrine and autonomic neural systems. Of relevance, there exists a reciprocal regulation between innate immunity and sleep disturbance (Irwin, 2015), and constitutive NF-κB activation or inactivation may alter neuroimmunology at the organismal level, contributing to cell/tissue non-autonomous behavioral phenotypes.
Mechanisms of E-box repression by NF-κB
NF-κB could affect clock function by several mechanisms: binding to NF-κB-REs present in clock genes to directly upregulate gene expression, recruiting HDACs to modify chromatin and repress transcription (Perkins, 2007), and interacting with BMAL1/CLOCK bound at the E-box to indirectly repress gene expression. While upregulation of canonical NF-κB targets via the NF-κB-RE correlated with increased RNA Pol II binding and increased H3K27 acetylation, NF-κB repression of BMAL1/CLOCK activity at the E-box was correlated with decreased Pol II binding and decreased H3K27 acetylation (Hong et al., 2018). It was suggested in that study that LPS affected the clock repressors such as Per, Cry, E4bp4 and Nr1d1, not the Bmal1, Clock, Dbp and Ror activators. Importantly, however, the high-resolution ChIP-seq data revealed that most of the BMAL1/CLOCK/RELA triple binding peaks, including not only the clock repressors but also the activators such as Dbp, Tef and Rorc, contain only E-boxes, suggesting indirect binding of NF-κB at the E-box (Figs. 3 and S3, Table S1). This is evident in the 3xE-box::Luc reporter assay, in which the promoter sequence, unlike the endogenous genes, does not contain NF-κB-REs or other confounding factors (Fig. 3). Further, genes such as Bmal1 and Clock that are not regulated via the E-box did not show RELA binding. Intriguingly, RELA displayed binding peaks at the E-boxes in saline controls, independent of LPS treatment. Some of these peaks were slightly shifted by LPS and even displayed decreased binding for all three factors (Figs. 3 and S3) (Hong et al., 2018). These observations suggest that LPS-induced NF-κB has some remodeling effect on the BMAL1/CLOCK-E-box complex. Future studies are needed to investigate how BMAL1, CLOCK and NF-κB coordinate to regulate E-box transcription.
Compared to NF-κB transcriptional activation, its repression mechanism is much less understood (Oeckinghaus and Ghosh, 2009; Perkins, 2006). Of relevance, acetylation of RELA by CBP/p300 at specific sites can have both positive and negative effects on DNA binding and transcription, and so do phosphorylation and dephosphorylation. Interestingly, RELA can also recruit HDACs that modify chromatin to repress transcription (Perkins, 2007). However, HDAC inhibitors did not affect RELA repression of BMAL1/CLOCK (Fig. S2C), suggesting that HDAC activity is not required for E-box repression. Our work showed that the BMAL1 CRD coordinates interactions with CRY1 and CBP/p300 which plays a key role in enabling circadian oscillations (Gustafson et al., 2017; Xu et al., 2015). In this study, we show that, like CRY1, RELA also interacts with the BMAL1 CRD. Thus, RELA impacts clock function likely through competitive binding with CRY repressors. Recent studies have made important progresses in our mechanistic understanding of CRY repression which involves dynamic interactions with the BMAL1 CRD and CLOCK PAS domains (Fribourgh et al., 2020; Gustafson et al., 2017; Michael et al., 2017; Xu et al., 2015). As repressors of BMAL1/CLOCK at the E-box, RELA and CRY may share some aspects of the repression mechanism which warrant future studies.
NF-κB underlies mutual regulation between circadian clocks and inflammation
Both the innate and adaptive immunological functions have prominent circadian rhythms, including gene expression, synthesis and secretion of cytokines and chemokines, and immune cell functions (Labrecque and Cermakian, 2015; Man et al., 2016). Within innate immunity, recent studies have documented prominent circadian rhythms in monocytes and macrophages (Labrecque and Cermakian, 2015). Toll-like receptors and cytokine and chemokine display circadian oscillations. Several lines of evidence support circadian regulation of NF-κB activity. First, key players in the NF-κB pathway (e.g., IκBα) are rhythmically expressed in several peripheral tissues including the liver and lung, exhibiting a circadian phase similar to Per1 (Koike et al., 2012; Zhang et al., 2014). Second, CLOCK was shown to be recruited by RELA at the NF-κB-RE to influence NF-κB target genes (Spengler et al., 2012), adding another layer of circadian regulation of NF-κB activity. NF-κB signaling was altered in Clock mutant mice and in Cry-deficient mice (Lee and Sancar, 2011; Spengler et al., 2012). In a different twist, RELA activation was shown to be regulated through CRY repression of adenylyl cyclase and consequently inhibition of PKA-mediated RELA phosphorylation (Narasimamurthy et al., 2012). RORα, a key activator of the RORE loop, upregulates IκBα expression, thereby hindering NF-κB nuclear translocation and activity (Delerive et al., 2001). Third, the NF-κB-RE::dLuc reporter assay showed that NF-κB displays circadian activities in the liver (Spengler et al., 2012). These studies support mutual regulation between the circadian and the inflammatory pathways.
Several studies in recent years have demonstrated the effects of inflammation on clock function. Inflammation induced by endotoxin treatment with LPS, IL-1 or TNFα altered clock gene expression in the SCN (Cavadini et al., 2007; Okada et al., 2008), the lung (Haspel et al., 2014; Yang et al., 2014), liver (Cavadini et al., 2007; Hong et al., 2018; Okada et al., 2008), and fibroblasts (Cavadini et al., 2007), as well as locomotor activity (Hong et al., 2018; Leone et al., 2012, 2006; Marpegán et al., 2005; Paladino et al., 2014). LPS-induced lung and liver inflammation caused a reprograming of core clock genes and outputs and led to a short period length phenotype (Haspel et al., 2014; Hong et al., 2018), consistent with our data. In a mouse model of chronic obstructive pulmonary disease (COPD), cigarette smoke exposure combined with viral infection disrupts clock function and leads to enhanced inflammatory responses in the lung and reduced locomotor activity (Sundar et al., 2015). Further, endotoxin was shown to suppress clock gene expression in human peripheral blood leukocytes (Haimovich et al., 2010). At the molecular level, both RELA and RELB can directly interact with BMAL1 and repress BMAL1/CLOCK activity, thus providing a mechanistic basis for the inflammatory effect on circadian clock function.
EXPERIMENTAL PROCEDURES
Plasmids
The expression constructs pLV7-CAG-1xFlag-Bmal1 (full length), 1xFlag-Bmal1-NCD containing the bHLH, PAS-A and PAS-B domains, 1xFlag-Bmal1-CRD containing the G and H domains, Bmal1-V5, and 3xFlag-Clock were cloned as described previously (Ramanathan et al., 2018; Xu et al., 2015). The plasmids encoding Flag-Rela (plasmid #20012), Flag-Relb (#20017), Flag-p50(#20018) and Flag-p52 (#20019) were obtained from Addgene. Rela-S281E mutant was generated with primers 5’-tctgat cgcgagctcgaggagcccatggagttc-3’ and 5’-gaactccat gggctcctcgag ctcgcgatcaga-3’. The PCR product was inserted into p3xFlag-CMV-10 vector at HindIII and EcoRI sites. Rela-RHD was generated with primers 5’-agctaagcttatggacgatctgtttcc-3’ and 5’-agctgcggc cgcttacatgatactcttgaaggtctc-3’, Rela-TAD with 5’-agctaagcttgagacctt caagagtatcatg-3’ and 5’-agctgcggccgcttaggagctgatctgactcaa-3’. The amplified products were cloned into p3xFlag-CMV-10 vector at HindIII and NotI sites. pLV7-CAG-Ikk2 WT and Ikk2-S177/181E were generated as previously described (Mercurio et al., 1997; Ramanathan et al., 2018). The pGL3-Per2::Luc and pGL3-3xE-box::Luc reporters used in 293T transient transfection reporter assay were described previously (Khan et al., 2012; Ukai-Tadenuma et al., 2011; Xu et al., 2015).
For adenoviral gene expression, pShuttle-CMV (Addgene #16403) and AdEasier-1 cells (#16399) were purchased from Addgene. Full length Rela gene was inserted into pShuttle-CMV with SalI and NotI to obtain pShuttle-CMV-Rela. pShuttle-CMV and pShuttle-CMV-Rela were linearized with PmeI, and transformed into competent AdEasier-1 bacterial cells for recombination. The recombinants are named Ad for vector control and Ad-Rela for Rela. Recombinant adenoviruses were prepared and used as described previously (Luo et al., 2007).
Animal and wheel-running locomotor activity assay
Mice were housed in the animal facility at the University of Florida. All animal experiments were conducted according to the National Institutes of Health Guide for the Care and Use of Laboratory Animals and approved by the Institutional Animal Care and Use Committee at the University of Florida. SCN organotypic slices were dissected and cultured in explant medium as previously described (Liu et al., 2007b; Ramanathan et al., 2018).
Mice conditionally expressing constitutively active IKK2 (Ikk2CA) in neural tissues including the forebrain and SCN (Camk2a-CreER;LSL-Ikk2CA mice, abbreviated as Ikk2CA mice) were generated by crossing the LSL-Ikk2CA mice (in which a LoxP-flanked STOP cassette prevents transcription of Flag-tagged Ikk2CA and EGFP) (Sasaki et al., 2006) with the Camk2a-CreER mice (Madisen et al., 2010) (gift of Dr. Sylvain Dore, Department of Anesthesiology). Both lines were obtained from the Jackson Laboratory. Mice of ~3 months old were treated with either corn oil (control) or tamoxifen (75 mg per kilogram of body weight) via i.p. injection for 5 consecutive days. Mice were used for experiments 2 weeks after tamoxifen treatment. Western blot with anti-Flag antibody was performed to determine transgene expression.
Mice were individually housed in cages equipped with running wheels and locomotor activities were recorded as previously described (Liu et al., 2007b; Ramanathan et al., 2018). Briefly, mice were entrained to a standard 12hr/12hr light/dark cycle for 2 weeks days and then released to constant darkness (DD) for 2-3 weeks. Wheel-running activities were recorded and analyzed using the ClockLab program (Actimetrics).
Cell culture, transfection and steady-state reporter assays
Cell culture and growth conditions for HEK 293T, U2OS and MMH-D3 cells were performed as previously described (Ramanathan et al., 2014; Xu et al., 2015; Zhang et al., 2009). Briefly, 293T and U2OS cells were maintained in Dulbecco’s Modified Eagle Medium (DMEM) (HyClone) supplemented with 10% fetal bovine serum. MMH-D3 cells were grown in RPMI Medium1640 (HyClone) supplemented with 10% fetal bovine serum, 16 ng/ml insulin like growth factor-II (IGF-II), 55 ng/ml epidermal growth factor (EGF), and 10 μg/ml Insulin, as previously described (Ramanathan et al., 2014; Ramanathan and Liu, 2018). For the reporter assay, 293T cells were cultured and seeded in 96-well plates, and transfected with desired plasmids using Lipofectamine 2000 (Invitrogen). Cells were harvested 24 h later and assayed with the Dual-Glo Luciferase Assay System (Promega). Firefly luciferase activity was normalized to Renilla luciferase as an internal control for transfection efficiency, as detailed in our previous studies (Khan et al., 2012; Sato et al., 2006; Xu et al., 2015).
Bioluminescence recording and data analysis
We used a LumiCycle luminometer (Actimetrics) for luminescence recording as previously described (Ramanathan et al., 2018, 2012; Wible et al., 2018). Briefly, cells were grown to confluence in 35-mm dishes and synchronized with 200 nM dexamethasone before bioluminescence recording. For adenoviral infection, the cells were first synchronized with dexamethasome and then infected with adenovirus for 4 h, followed by the bioluminescence rhythm assay. The recording medium contained 1x DMEM, 10 mM HEPES, 144 mM NaHCO3, 1% fetal bovine serum, 1x B-27 and 0.5 mM luciferin, buffered to pH 7.4. Three independent dishes/samples were used for each condition. Raw luminescence data (counts/s) as a function of time (days) were analyzed with the LumiCycle Analysis program (version 2.53, Actimetrics) to determine circadian parameters. Briefly, raw data were fitted to a linear baseline, and the baseline-subtracted data were fitted to a sine wave (damped), from which period length and goodness-of-fit and damping constant were determined. For samples that showed persistent rhythms, goodness-of-fit of 90% was usually achieved. For amplitude analysis, raw data from day 3 to day 5 were fitted to a linear baseline, and the baseline-subtracted (polynomial number = 1) data were fitted to a sine wave, from which amplitude values were obtained.
Quantitative PCR analysis
For quantitative PCR (qPCR) analysis, U2OS cells were synchronized using 200 nM dexamethasone for 2 h and infected with adenovirus expressing Ad vector control or Ad-Rela. 4 h later, cells were changed to regular DMEM culture medium. After 36 h, cells were harvested at 4 h intervals for a complete circadian cycle. RNA extraction, reverse transcription, and quantitative real-time PCR were performed as previously described (Ramanathan et al., 2018, 2014; Wible et al., 2018). SYBR Green PCR master mix (Thermo Scientific) was used in qPCR. The primers used in qPCR analysis are listed in Table S2. Transcript levels for each gene were normalized to GAPDH and values were expressed as percentage of expression in control cells.
Electrophoretic mobility shift assay
Electrophoretic mobility super-shift assay (EMSA) was performed as done previously (Wang et al., 2015). In brief, 20 μg of total cell extract was incubated with 32P-labeled double-stranded oligonucleotides containing an E-box (CGCGCAAAGCCATGTGCTTCCCCCT) at room temperature for 20 min. The samples were resolved on acrylamide gel electrophoresis and quantified with a Cyclone phosphoimager (Perkin Elmer). For supershift assay, cell extracts were incubated with 1 μg of antibody in 10 μl of EMSA reaction buffer on ice for 30 min, followed by procedures for EMSA. Oct1 oligonucleotide (Promega) was used as control. Wild type and mutant E-box sequences used as cold competition probes are listed in Table S3.
Immunoprecipitation and immunoblotting
Cell lysate preparation and immunoblotting were performed as previously described (Lee, 2007a, 2007b; Ramanathan et al., 2018; Wang et al., 2015) with minor modifications. Briefly, cells were harvested by trypsinization and immediately lysed in RIPA lysis buffer containing cocktails of proteases inhibitors (Roche) and phosphatase inhibitors (Sigma). The primary antibodies used in this experiment are as following: guinea pig antibodies against BMAL1 and CLOCK from Choogon Lee’s lab; rabbit antibodies against RELA (Cell Signaling), Myc (Cell Signaling), Flag (Sigma), HA (Sigma); and Actin and Tubulin were from Santa Cruz Biotech.
Immunoprecipitation was performed as previously described (Lee, 2007c) with minor modifications. In brief, cells were lysed in 10% PBS and 90% IP lysis buffer (20 mM Tris, pH 7.0, 250 mM NaCl, 3 mM EDTA, 3 mM EGTA, 0.5% Nonidet P-40, 2 mM DTT, 0.5 mM PMSF, 20 mM β-glycerol phosphate, 1 mM sodium orthovanadate, 1 μg/ml leupeptin, 1 μg/ml aprotinin, 10 mM p-nitrophenyl phosphate, and 10 mM sodium fluoride). 5% of total lysate was used as input control samples. The rest of the lysate was incubated with 1 μg of primary antibody on a rotator at 4°C overnight. Next day, protein G-sepharose was added to the mixture and incubated at 4°C for 4 hr. Finally, protein G-sepharose enriched complexes were resolved on SDS-PAGE and analyzed by Western blot analysis.
Chromatin immunoprecipitation (ChIP) was performed as previously described (Lee, 2007c; Wang et al., 2015) with minor modifications. U2OS cells were synchronized using 200 nM dexamethasone for 2 hours and then infected by adenovirus of Ad vector control or Ad-Rela. 4 hours later, cells were changed to regular DMEM culture medium. After 36 hours, cells were fixed for 10 min at room temperature in 1x PBS containing 0.5% formaldehyde and quenched with 0.125 M glycine for 15 min. After washing with cold PBS, the cells were scraped into 1x PBS in a 15 mL conical tube and pelleted at 1,500 rpm for 10 min at 4°C. The pellet was suspended and lysed in lysis buffer (5 mM PIPES, pH 8.0, 85 mM KCl, 0.5% Nonidet P-40) for 10 min on ice. Cell lysates were sonicated with eight 20-second pulses with 20-second pauses. Cell nuclei were pelleted at 1,300 rpm for 10 min at 4°C and resuspended in 1 mL nuclei lysis buffer (50 mM Tris-Cl, pH 8.0, 10 mM EDTA, 1% SDS, supplemented with protease inhibitors), followed by incubation on ice for 10 min and then sonication with six 15-second pulses with 45-second pauses. The samples were centrifuged at 15,000 rpm at 4°C for 5 min and supernatants were used for ChIP. Primers used in qPCR to amplify the E-box region of PER2 and DBP genes were designed based on previous studies (Ueda et al., 2005) and are listed in Table S4.
NMR spectroscopy
All proteins were expressed in Escherichia coli Rosetta2 (DE3) cells from a pET22b vector backbone. Recombinant proteins for RELA-RHD (1-318) and BMAL1 TAD (579-626) were cloned from the mouse Rela or Bmal1 genes, and each had an N-terminal TEV-cleavable His-GST tag. Cells were grown in Luria Broth media (for natural abundance RELA-RHD) or M9 minimal media with 15N-ammonium chloride for uniform incorporation of the stable isotope for NMR of BMAL1 TAD. All cultures were grown at 37°C until an O.D.600 of ~0.8 was reached, after which expression was induced with addition of 0.5mM IPTG. Cultures were grown at 18°C for an additional 16-20 hours. Cell pellets for the BMAL1 TAD were lysed in buffer containing 50 mM Tris, pH 7.5, 300 mM NaCl and 20 mM imidazole for affinity purification using Ni-NTA resin (Qiagen) as we have done previously (Xu et al., 2015). Imidazole-eluted protein was buffer exchanged to a low-imidazole buffer by desalting column or diafiltration with an Amicon stirred-cell concentrator under nitrogen pressure. The His-GST tag was removed via TEV protease overnight at 4°C. Cleaved protein was separated from TEV and the His-GST tag with a Ni-NTA column and proteins were further purified by size-exclusion chromatography on Superdex 75 16/600 (GE Life Sciences) in NMR buffer (10 mM MES, pH 6.5, and 50 mM NaCl). For RELA-RHD, cells were lysed using a high-pressure extruder (Avestin) in buffer containing 50 mM Tris, pH 7.5, 300 mM NaCl, 1mM EDTA, 5 mM BME. Affinity purification was carried out with Glutathione Sepharose 4B resin (GE Healthcare). The His-GST tag was removed via TEV protease overnight at 4°C and cleaved protein was separated from the TEV and the His-GST tag with a Ni-NTA column. Protein was further purified with size-exclusion chromatography on HiLoad 16/600 Superdex 75 prep grade column (GE Healthcare) in NMR buffer. Proteins were aliquoted and frozen in liquid nitrogen for long-term storage at −80°C.
NMR experiments were conducted on a Varian INOVA 600-MHz spectrometer at 25 °C equipped with 1H, 13C, 15N triple-resonance, z-axis pulsed-field-gradient probes. All NMR data were processed with NMRPipe/NMRDraw (Delaglio et al., 1995). Chemical-shift assignments were obtained from previous work in the lab (Xu et al., 2015). Concentrated RELA-RHD protein was added stepwise to 100 μM 15N-TAD protein for the 15N HSQC titration. Each sample was concentrated to 300 μL final volume and adjusted to a final concentration of 10% (v/v) D2O. 15N HSQC titration data were analyzed with CCPNMR (Vranken et al., 2005) with chemical-shift perturbations defined by the equation Δδtot = [(Δδ1H)2 + (χ(Δδ15N)2]½ and normalized with the scaling factor χ = 0.15, established from estimates of atom-specific chemical-shift ranges in a protein environment (Farmer et al., 1996).
ChIP-sequencing analysis
We obtained previously reported ChIP-seq data with antibodies targeting on the RELA/p65 subunit of NF-κB, CLOCK, BMAL1, and their input sample (no specific antibody) of mouse liver treated with LPS from GEO (GSE117488) (Hong et al., 2018). For comparison, we also obtained NF-κB antibody ChIP-seq data and its input sample from mice treated with saline. Each condition contained two biological replicates. The raw fastq reads were aligned to Mus musculus genome assembly (mm10) using Bowtie 2 with sensitive-local option (Langmead and Salzberg, 2012), which can automatically trim the mismatched nucleotide bases (low quality or adaptors) from the end of a read. The biological replicates of the aligned reads were merged together before further analyses. FindPeaks function in the Homer software (Heinz et al., 2010) was deployed to perform peak calling for the NF-κB, CLOCK, and BMAL1 samples with their respective input sample as background control. Significant peaks were declared using the default false discovery rate threshold 0.1%. The comparison of the peaks from NF-κB, CLOCK, and BMAL1 samples were conducted using the mergePeaks function in Homer. Selected peaks were visualized using UCSC genome browser (Karolchik et al., 2003). The peak sequences of ~200 bp were used for transcription factor binding motif search using the JASPAR program with a relative profile score threshold of 85% or above (Fornes et al., 2020).
CONFLICT OF INTEREST
The authors declare that they have no conflicts of interest with the contents of this article.
ACKNOWLEDGEMENT
Funding was provided by the National Institute of Neurological Disorders and Stroke (R01 NS054794-06 to ACL and JBH), the National Science Foundation (IOS 1656647 to ACL), the National Cancer Institute (R01 CA149251 to ZW), and American Cancer Society (RSG-13-186-01-CSM to ZW).
Abbreviations
- NF-κB
- nuclear factor kappa B
- SCN
- suprachiasmatic nucleus
- IKK
- IκB kinase
- IκBα
- inhibitor of NF-κB
- Luc
- luciferase
- RHD
- Rel homology domain
- CRD
- C-terminal oscillation regulatory domain
- TAD
- transactivation domain