Temporal dynamics of TNFA and BCL3 gene transcription

Stimulation of cells with the inflammatory cytokine TNFα induces transcription of multiple genes through the NF-κB signalling pathway. Following TNFα treatment, synthesis of TNFA and BCL3 transcripts was measured in HT1080 cells (Figure 1A) and shown to be reduced in cells treated with an inhibitor of NF-κB nuclear movement (SN50; Figure 1B), used here under conditions where ~50% decrease in DNA binding of NF-κB is seen [11]. In cell populations treated with higher levels of SN50 much higher levels of cell death were observed (not shown).

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Figure 1. Temporal dynamics of TNFA and BCL3 gene transcription in TNFα treated HT1080 cells.

HT1080 cells were treated with TNFα and signalling through NF-κB monitored. Expression of TNFA and BCL3 was assessed using qRT-PCR (A; n=3) to measure fold-changes in mRNA (relative to t=0) and shown to be dependent on nuclear translocation of NF-κB using the inhibitor SN50 (B; n=3). Transient over expression of BCL-3 from a constitutive promoter significantly reduced TNFA transcription (C; n=3) and siRNA-induced depletion of BCL-3 (inset) prior to TNFα treatment significantly increased TNFA transcription (D; 3h time points are shown; n=3). Temporal changes in BCL-3 occupancy at a distal (-869) κB site in the TNFA promoter (E; n=3) correlated with increased expression of BCL-3 (F), which though present throughout HT1080 cells was enriched in nuclei (G; 3h time-point shown). Error bars show standard deviation: *P<0.05; **P<0.01.

https://doi.org/10.1371/journal.pone.0077015.g001

The sharp decrease in TNFα mRNA levels in the continued presence of stimulatory signal (Figure 1A) suggests an active mechanism for attenuating TNFA transcription. We confirmed this attenuation by over-expressing BCL-3 using plasmid-based transient expression [12]. After 1h stimulation with TNFα, transfected cells exhibited >60-fold increase in BCL3 transcript levels relative to untransfected cells, with >10-fold decrease in TNFA transcript levels (Figure 1C). Furthermore, when RNA interference was used to inhibit BCL3 transcription concomitant changes in TNFA (increased) and BCL3 (decreased) transcription were seen (Figure 1D). To further explore the role of BCL-3 in transcriptional attenuation, we monitored the occupancy of BCL-3 and p65 at a distal κB site (-869) within the TNFA promoter (Figure 1E), using post-induction time points that reflect peak (60 min) and near basal (180 min) levels of TNFA gene transcription. A dramatic increase in BCL-3 bound at the distal κB site at the later time point correlated with a weak displacement of p65 at this site (Figure 1E). Delayed binding of BCL-3 at the TNFA promoter correlated with expression of BCL-3 protein (Figure 1F), which showed little increase above basal levels until ~180 min after TNFα treatment. At this time, BCL-3 was clearly, though not uniquely, localised within nuclei (Figure 1G). While BCL-3 is generally assumed to have a predominantly nuclear localisation, similar patterns have been observed in NIH 3T3 [13] and NTera-2 [8] cells.

Delayed induction and activation of BCL3 transcription

Patterns of TNFA expression are determined by the rates of TNFA transcription and accumulation of BCL-3. As timing of expression of BCL-3 will define the rate of its accumulation we mapped expression at higher temporal resolution. Notably, while qPCR shows TNFA transcript levels to be significantly above basal levels at 30 min following TNFα treatment the equivalent increase in BCL3 transcription was delayed until at least 60 min (Figure 2A). Using chromatin immuno-precipitation (ChIP), we established that the TNFA gene promoter had bound RNA polymerase II (RNAP) in unstimulated cells whereas no polymerase was present on the BCL3 promoter (Figure 2B). However, under these conditions neither gene had RNAP within the protein coding region, implying that polymerase is bound on the TNFA promoter but without engaging RNA synthesis; note that this apparent promoter association reflects a steady state localisation and is also compatible with abortive cycles of transcription initiation and RNA polymerase binding at the TNFA promoter. Such bound but stalled RNAP allows rapid gene transcription once NF-κB signalling is induced [14,15].

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Figure 2. Chromatin remodelling is required for BCL3 transcription.

Following TNFα treatment of HT1080 cells clear differences in the induction dynamics of TNFA and BCL3 expression were seen (A). ChIP analysis showed RNAP to be bound at the TNFA promoter (30) prior to TNFα treatment (B) but not within the protein coding region (Cds). At this time, RNAP at the BCL3 promoter is not detectable and binding is clearly delayed, concomitant with a clear increase in promoter-associated histone H3 acetylation (C). Changes at the BCL3 promoter correlated with dynamics of association of NF-κB (p56; D) and chromatin accessibility measured qualitatively (E) and quantitatively (F) by qRT-PCR. Clear changes in chromatin structure at the Xcm1 site shown were seen at 90 min following TNFα treatment and in control cells treated with TSA (400 nm for 12 h). Error bars show standard deviation: *P<0.05; **P<0.01.

https://doi.org/10.1371/journal.pone.0077015.g002

The binding of RNAP at the BCL3 TSS was assayed at 0-90 min after TNFα treatment, by which time the rate of BCL3 transcription was greatest. Binding of RNAP increased up to this 90 min end-point (Figure 2C). A concomitant increase in acetylation of promoter associated histone H3 was also seen (Figure 2C), consistent with chromatin remodelling required for gene transcription. Cells pre-treated with the histone deacetylase inhibitor TSA, to artificially increase levels of histone acetylation, showed significantly increased levels of BCL3 transcription at 30 min after TNFα treatment (P<0.01; Figure S1A).

Differential binding of NF-κB at the BCL3 and TNFA gene promoters

Induction of TNFA and BCL3 transcription by NF-κB/p65 is dependent predominantly on promoter proximal κB sites [5,12]. Binding of p65 at TSS proximal locations was assayed by ChIP following TNFα treatment and clear temporal differences in promoter occupancy seen, with binding at the TNFA gene TSS occurring preferential at early times. Notably, promoter proximal binding of p65 was significantly higher for TNFA until ~60 min, after which time no significant differences were seen (Figure 2D). This delayed binding of p65 at the BCL3 gene promoter correlates with the dynamics of promoter associated RNAP, acetylated histone H3 (Figure 2C) and RNA synthesis (Figure 2A) and suggests that BCL3 transcription is dependent on chromatin remodelling.

The accessibility of chromatin to DNA binding proteins can be assayed by the relative access of restriction enzymes to DNA and resultant cutting as a surrogate reporter of chromatin structure. Using a restriction endonuclease site within the BCL3 proximal κB site (Figure 2E) we monitored changes in the promoter structure following TNFα treatment. Nuclei were extracted from cells treated with and without TNFα, exposed to XcmI and cutting of the restriction site assessed by PCR. Following incubation with TNFα for 90 min (Figure 1A), when BCL3 transcription is strongly induced, almost all sites were cut, and so accessible, while the target site is inaccessible in untreated cells (Figure 2E). TSA enhanced chromatin accessibility at the BCL3 promoter (compare lanes 1 and 3 in Figure 2E) is consistent with hyperacetylation of histone and an open chromatin structure. When this assay was performed at different times following TNFα treatment and relative chromatin ‘accessibility’ determined using q-PCR a clear increase in chromatin accessibility was seen after an initial refractory period of ~30 min (Figure 2F).

Localisation of p65 following TNFα treatment

Following cytokine induction, the NF-κB sub-unit p65 is released from complexes in the cytoplasm and able to move to the nucleus and activate target gene expression [4]. IκB proteins are early target genes and their expression helps to switch signalling off by returning p65 to the cytoplasm. In some cell types, if cytokine is present for long periods, p65 oscillates in and out of nuclei with a period of ~100 min [16]. Nuclear translocation of p65 was confirmed in HT1080 cells using immuno-cytochemistry, with fluorescence signal, which was initially excluded from the nucleus, showing robust nuclear accumulation from 45-90 min (Figure 3A and B; P<0.01). At later time points the nuclear p65 signal was no longer significantly greater than that in unstimulated cells (Figure 3A and B; P>0.05). As the rate at which p65 enters the nucleus and the duration of its occupancy will dictate the transcriptional responses of target genes, we also monitored HT1080 cells expressing p65-dsRed by time-lapse microscopy. Following TNFα-activated NF-κB signalling, p65 quickly became nuclear, with almost all dsRed-p65 occupying the nucleus at ~30-50 min, before returning to the cytoplasm at ~100 min (Figure 3C and D and S2A). This data defines the time window during which NF-κB target genes will be exposed to optimal levels of nuclear-localised transcription factor.

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Figure 3. Nuclear localisation of p65/NF-κB following TNFα treatment.

HT1080 cells were treated with TNFα and the distribution of NF-κB (p65 subunit) visualised by indirect immuno-flourescence (A,B) or live cell imaging of p65-dsRed (C,D) at the times shown. Time-lapse imaging shows that p65 accumulates in nuclei from 20-40 min before returning to the cytoplasm (C,D) and this is confirmed for endogenous p65 in fixed cells (B). Error bars show standard deviation: *P<0.05; **P<0.01.

https://doi.org/10.1371/journal.pone.0077015.g003

Modelling the induced BCL-3 inhibition of TNFA transcription

To assess the effect of delayed BCL3 transcription on TNFA transcription, we created an ODE model for transcriptional regulation of these genes that also incorporates chromatin remodelling events (Supporting Information S1). Relative levels of nuclear p65, acetylated H3, chromatin accessibility, p65 bound at the BCL3 gene promoter, RNAP bound at the BCL3 gene promoter and BCL3 mRNA levels are shown over 90 minutes following TNFα stimulation; a value of 0 is assigned at t=0 and 1 assigned to the maximal average value occurring in this time frame, with all other values expressed as a fraction of the maximal value (Figure 4A). Acetylated H3 increased, after a delay, following p65 nuclear translocation and this was followed, in turn, by elevated chromatin accessibility, promoter associated p65, RNAP and finally mRNA synthesis (Figure 4A). A representation of the processes involved in NF-κB-induced BCL3 transcription is shown in Figure 4B. Rates of histone acetylation, chromatin ‘opening’ and facilitated BCL3 transcription are assumed to be dependent on levels of nuclear NF-κB, histone acetylation and chromatin accessibility, respectively. The rates used (Supporting Information S2) were fitted (Figure 4C) to experimentally observed rates (Figure 4A) and the modelled induction of BCL3 transcription placed within the context of subsequent protein production and inhibition of TNFA transcription (Figure 4B). Simulated outputs of TNFA and BCL3 transcription (Figure 4D) show a strong, qualitative correspondence to the patterns of synthesis observed experimentally (Figure 1A).

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Figure 4. Modelling TNFα induced transcription at the BCL3 and TNFA promoters.

A model linking TNFA and BCL3 expression shows how the timing of events that regulate BCL3 transcription (A; data from Figures 1and 2) can be recapitulated using an ODE model (B; Information S2 for parameters) that mimics the data in simulations (C,D). During pulsatile stimulation, the separation of two TNFα treatments only weakly affects the nuclear localisation of NF-κB (E; p65 as in Figure 3B) while dramatically influencing the time-dependent expression of TNFA, as a result of promoter-bound BCL-3 (F). This behaviour is reproduced by the model (G).

https://doi.org/10.1371/journal.pone.0077015.g004

BCL-3 attenuates TNFA transcription

During a natural inflammatory response cytokine signalling is likely to be pulsed rather than continuous, based on local changes in cytokine concentration. This raises questions about the role of BCL-3 in attenuating TNFA transcription at different stages of the inflammatory response. To address this, cells were stimulated with TNFα for 180 minutes (by which time TNFA transcription attenuates; Figure 1A), washed to remove the cytokine and subsequently grown for 180, 360 and 720 min, before BCL-3 bound at the TNFA promoter was measured (Figure 4E; right axis). In parallel cultures (Figure S2B and C), cells were treated with a second 60 min pulse of TNFα and induction of TNFA transcription measured (Figure 4E; left axis). Consistent with BCL-3 attenuating TNFA transcription, high levels of TNFA transcription correlated with increased separation of the TNFα pulses, with longer pulse separations correlating with reduced BCL-3 bound at the TNFA promoter (Figure 4E). In this scenario, the observed differences in TNFA transcription arise despite similarities in nuclear NF-κB levels following the second TNFα treatment (Figure 4F), consistent with promoter accessibility and not transcription factor concentration being a key determinant of TNF synthesis. Our model that incorporates a chromatin-based time delay in BCL-3 expression recreates this behaviour (compare simulation Figure 4G with data Figure 4E; Figure S2D). These experiments show that when signalling through NF-κB is activated by TNFα the elapse time between consecutive pulses can have a profound influence on temporal levels and patterns of TNF synthesis, which is dependent on the amount of BCL-3 bound to the TNFA promoter at the time of induction.

Delayed BCL-3 production regulates TNFA transcription kinetics

A model capable of recreating patterns of BCL-3/TNFA transcription provides a tool to assess the functional significance of the differential response times of BCL3 and TNFA transcription induced by NF-κB. To asses the impact of the delayed BCL-3 expression biologically, we used a simplified ‘non-delay model’ in which BCL3 and TNFΑ transcription were activated together in response to nuclear NF-κB (Figure 5A). In these simulations, we also compared how changes in TNFα mRNA predicted by the time-delayed model – and validated experimentally – corresponded with models in which the concentration of BCL-3 was altered but without invoking a time delay. The rapid induction of BCL-3 synthesis in the simplified non-delay model quickly attenuates TNFA transcription, resulting in dramatically reduced cytokine expression in comparison to the delay model (Figure 5B). As expected, in the simplified model, decreasing the rate of BCL3 gene transcription (Supporting Information S2, parameter k112) was seen to correlate with an increase in the initial TNFA transcript pulse (Figure 5C). When different rates of BCL3 transcription were simulated, it was necessary to reduce the rate 100-fold in order to produce levels of TNFA expression comparable to those seen in the time-delayed model (Figure 5C). As expected for a transcriptional suppressor, these simulation show that manipulation of BCL-3 concentration is able to modulate TNFA transcription. However, while substantially reducing BCL3 transcription can partially mimic TNFA transcription seen for the time-delayed model, this behaviour is restricted to changes in gene expression that result from a single cycle of NF-κB translocation. Notably, when double (or multiple) pulses of signalling through NF-κB are induced the patterns of TNFA transcription seen for the non-delay model are clearly different to those for the time-delay model (Figure 5D), with the latter corresponding to the experimental data (Figure 4). Hence, delaying transcription of BCL3, relative to TNFA, gives a high level of TNFα in the primary response, which is then attenuated by BCL-3-induced inhibition of TNFA gene expression. Such a genetic circuit allows cells to react efficiently to local inflammatory cues in order to propagate potentially small or transitory signals but crucially limits the duration of the primary response.

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Figure 5. Modelling the influence of delayed BCL3 expression on TNFA transcription.

The ODE model shown in Figure 4B was simplified by removing the chromatin remodelling step (A) to simulate how this delay influences TNFA transcription (B-D). At different times following TNFα stimulation, the output from this model (B, solid line) is lower than with the time-delayed model (B, dashed line), though differences can be partly recapitulated simply by reducing expression of BCL-3, when both a single (C) or double (D) pulse of TNFα is used. This model motif can be represented by an Incoherent Feed-forward Loop (E), to test a simplified version of the TNFA transcription/BCL-3 model with time-delayed or continuous induction (with decreasing magnitude, red numbers) of BCL3 transcription (F). Simulations for TNFA mRNA (G) and BCL-3 protein (H) are shown (solid lines) and compared to the chromatin delay model (dashed lines).

https://doi.org/10.1371/journal.pone.0077015.g005

Architecture of I-FFL motif structures that generate distinctive output kinetics

When a single activating factor drives both positive and negative influences on the same output an incoherent feed-forward loop (I-FFL) is generated (Figure 5E). Such motifs have previously been shown to create pulse-like transcriptional responses [17]. In this study, we addressed how altering the timing of the activating and suppressing inputs of such a FFL defines its output. In our example, the activating input (NF-κB→TNFA transcription) responds more rapidly than the inhibitory input (NF-κB→BCL-3, which inhibits TNFA transcription) based on a refractory period that delays synthesis of BCL3 transcripts. This delay represents the time required to remodel chromatin at the BCL3 promoter, a process which we show is an essential prerequisite for transcription complex assembly (Figure 3).

A simplified model of BCL-3/TNFA interactions (Figure 5F), in which nuclear NF-κB levels are constant (200nM) rather than transitory, allows induced model components to reach stable steady state conditions (other than zero). In this model, BCL3 transcription is either delayed by chromatin remodelling or induced without delay in response to nuclear NF-κB, but with different rates of transcription (Parameter k112; range 0.005-1). Without delay, low rates of BCL3 transcription result in an initial peak of TNFA transcription but with a high stable steady state (Figure 5G). This reflects the low steady state expression of BCL-3 (Figure 5H) and consequent weak attenuation of TNFA transcription. In contrast, delayed production of BCL-3 (Figure 5H – dashed line) mimics experimental data, with an immediate peak of expression and strong attenuation at later times producing distinctive ‘shark’s fin’ TNFA transcription kinetics (Figure 5G – dashed line). The characteristic pulse-like response of an I-FFL is, therefore, defined by the induction kinetics of the inhibitor. In this example, the delay in inhibitor production effectively uncouples the response rate and the final magnitude of inhibition. This pattern of control is likely to have important implications during an immune response, where it is necessary to mount a rapid initial response that is subsequently attenuated in order to limit pathological side-effects.

Differential regulation of TNFA and BCL3 expression

In this study, we show that the transcription of two genes induced by NF-κB is initiated at different times and demonstrate, using mathematical modelling, how this differential induction can have a profound effect on gene expression. TNFA is an early NF-κB target gene [18], which is regulated by the IκB family protein BCL-3 [1]. TNFA and BCL3 display distinct response profiles following signalling, with a rapid induction in TNFA transcription and delayed transcription of BCL3 (Figure 1). To understand the temporal regulation of TNFA expression, we showed that the TNFA promoter is constitutively primed for RNA synthesis whereas chromatin remodelling of the BCL3 promoter is required for NF-κB binding (Figure 2). With this circuitry, an initial but transient burst of TNFA expression is attenuated once BCL-3 begins to accumulate (Figure 2). The expression of these genes was shown to be dictated by the chromatin state at their promoters and consequent accessibility of transcription factors and RNAP to DNA (Figure 2). Chromatin remodelling is a multi-step process [20,21], which involves processes such as histone acetylation, recruitment of remodelling complexes, nucleosome re-positioning and pre-initiation complex formation. At promoters, changes in chromatin structure can significantly impact on the timing of gene expression [19]. TNFA transcription rapidly responds to TNFα-induced NF-κB signalling (Figure 1). However, we have shown that a major negative regulator of TNFA transcription, BCL-3, exhibits far slower transcriptional induction (Figure 2), which required chromatin remodelling before NF-κB is able to bind at the promoter of this gene. This behaviour has been recreated with a mathematical model using experimentally verified parameter values (Supporting Information S2). Model simulations demonstrated the biological importance of time-delayed BCL-3 synthesis as a means of regulating TNFα output (Figure 4 and 5), so that a rapid initial synthesis of TNFα is coupled to robust subsequent inhibition.

Delayed expression of BCL3 involves chromatin remodelling

By delaying expression of inhibitory BCL-3, the time taken to express sufficient protein to inhibit TNFA transcription can be uncoupled from the magnitude of the inflammatory response. Hence, rapid and sizeable initial pulses of TNFA mRNA are permitted before a robust later inhibition of transcription (mediated by BCL-3) is seen. Cells are consequently able to produce relatively large but strictly transient bursts of cytokine in response to an initial stimulation. Using simulations in which transcription of TNFA and BCL3 were activated simultaneously, changes in the maximal BCL-3 transcription rate (parameter k112) can recreate the initial TNFA pulse size when the maximal promoter rate is decreased to 1/100^th of that used in the chromatin delay model (Figure 5B). However, while initial TNFA transcript levels are comparable to levels in the delayed transcription model, down-regulation of TNFA transcription as a response to subsequent NF-κB signalling is less pronounced – resulting in high, persistent levels of TNFA mRNAs (Figure 5D). Such a scenario would lead to excessive cytokine signalling and could result in associated inflammatory disorders.

Chromatin structure is well known to contribute to the hierarchy of genomic features that control eukaryotic gene expression. Different classes of gene promoters with different characteristic patterns of transcription initiation have been described [22] and the ability of some promoters to occupy transiently active or inactive states contributes to the innate stochasticity of expression [23,24]. During inflammation, activated NF-κB must access binding sites in gene promoters to drive target gene expression. In some cases promoters are constitutively open [25] and these may be primed with RNA polymerase prior to induction (Figure 2). In other situations changes in chromatin structure represent a rate-limiting step that regulates expression of key genes based on cell lineage [26]; IL-4 expression in Th2 lymphocyte cells was shown to involve a stochastic chromatin remodelling step such that only a fraction of the Th2 cell population were see to express IL-4 following antigen stimulation. Such cell type-dependent chromatin effects are likely to be extremely important in generating heterogeneity in a physiological setting [27]. The BCL3 promoter analysed in our in vitro study is shown to be inaccessible to RNA polymerase at the time of TNFα addition so that remodelling of the promoter chromatin must precede activation of BCL3 transcription. While we show, based on chromatin accessibility (Figure 2), that chromatin remodelling within the BCL3 promoter occurs at a cell population level over a period of 30-90 minutes post TNFα treatment, analysis of the molecular complexities of this process was beyond the scope of our study.

Regulatory principles of an incoherent feed-forward loop

When a single activating factor has both positive and negative regulatory influences on the same output event an incoherent feed-forward loop is formed (I-FFL – a schematic is shown in Figure 5E). Such motifs have previously been shown to create pulse-like transcriptional responses [17]. In this study we have addressed the issue of relative timing in the two legs (- and +; relating to their effect on the production of output) of such a feed-forward loop. We have shown how the positive leg of the feed-forward loop (NF-κB→TNFA transcription) responds more rapidly than the inhibitory leg (NF-κB→BCL-3 which inhibits TNFA transcription) which, as result of chromatin remodelling events required to produce BCL3 mRNA, experiences a delay before acting.

A simplified model of BCL-3/TNFA interactions in which nuclear NF-κB levels are constant (200 nM), rather than transitory, allows induced model components to reach stable steady state conditions (other than zero) (Figure 5F). In this scenario, the transcriptional induction of BCL3 occurs either via a chromatin mediated delay or immediately, but with varied levels of magnitude (from 1 to 0.005; Figure 5F). Reducing the maximal transcription rate of the BCL3 gene clearly causes an increase in the initial TNFA mRNA peak but also occurs with an associated higher stable steady state (Figure 5G); this behaviour is explained by the BCL-3 protein levels produced. Lower BCL3 transcription rates reduce rates of BCL-3 protein production but also reduce the final steady state of protein accumulation (Figure 5H). As a result, inhibition of TNFA transcription is reduced so that an increase in steady state mRNA levels is seen. In contrast, delayed production of BCL-3 (Figure 5H) produces a robust initial expression of TNFA but efficient inhibition at later times.

In conclusion, our data describe the characteristics pulse-like output of an I-FFL in which the robust inflammatory response defined by expression of TNFα is subsequently switched off by BCL-3. Both TNFA and BCL3 promoters are controlled by NF-κB, with a chromatin-dependent delay in expression of BCL-3 defining the duration of optimal TNFα synthesis. In a recent study, Buetti-Dinh et al. showed how a non-monotonous response (i.e. a bell shape response at steady state, which is equivalent to pulse generation during a transient response) characterises the control of gene expression using multiplicative interactions between activators and inhibitors [28]. Notably, while pulsatile behaviour was shown to be a robust, innate feature of feed-forward loops, the pulse peak is reflected by the combination of parameter values, with a relatively flat response seen for many parameter combinations. In comparison, our analysis emphasises how uncoupling the inhibitory component of the feed-forward loop with a time delay serves to enhance the pulsing behaviour. In addition, in the I-FFL described herein, the different rates of turnover of TNFA and BCL3 mRNAs (Supporting Figure S1B and Supporting Information S2) accentuate the rapid increase and subsequent inhibition of TNFα synthesis. These observations emphasise how timing contributes to the flow of information through genetic network, with features such as chromatin remodelling and mRNA turnover acting as discrete temporal regulators to control gene expression.

Cell line and stimulation

HT1080 cells (ATCC, LGC Standards, Teddington, Middlesex, UK) were grown in DMEM media (Invitrogen Gibco^TM Ltd., Paisley, UK) supplemented with 10% FBS and 1% NEAA at 37°C with 5% CO₂ and stimulated with a saturating dose (10 ng/ml) of human recombinant TNFα (Merck, Darmstadt, Germany) unless otherwise stated. As required, cells were treated with SN50 (30 μg/ml for 1 h before TNFα stimulation; Merck, Darmstadt, Germany) or trichostatin A (TSA; for 12 hours prior to TNFα stimulation using concentrations shown; Sigma-Aldrich Company Ltd., Dorset, UK). Rates of mRNA decay were measured by inhibiting transcription with actinomycin D (0.2 μg/ml; Sigma-Aldrich Company Ltd., Dorset, UK).

qRT-PCR

RNA was extracted using QiaShredder homogenisers and RNAeasy kit (Qiagen Ltd., Crawley, UK) and converted to cDNA with High Capacity cDNA Reverse Transcription Kit (Applied Biosystems Ltd., Warrington, UK). RT-PCR was preformed with an Applied Biosystems 7300 Real Time PCR System (Applied Biosystems Ltd., Warrington, UK), ABI Power SYBR® Green PCR Master Mix and using primer sets (Applied Biosystems Ltd., Warrington, UK): TNFα-FOR (CTCTTCTGCCTGCTGCACTT), TNFα-REV (GCTGGTTATCTCTCAGCTCCA); BCL-3-FOR (CCCTATACCCCATGATGTGC), BCL-3-REV (GGTGTCTGCCGTAGGTTGTT) and Cyclophilin A primers [16]. All primers were obtained from Sigma-Aldrich Company Ltd., Dorset, UK.

Western blots

Whole cell protein extracts (10 ng/lane) were used in Western blot. BCL-3 was detected with a Rabbit polyclonal primary antibody (sc-185; Santa Cruz Biotechnology, Heidelberg Germany) and Goat Anti-Rabbit IgG (H+L)-HRP Conjugate (Cat # 172-1019; Bio-Rad Laboratories) secondary antibody. β-actin was detected with mouse monoclonal antibody (A1978; Sigma-Aldrich, Dorset, UK) and Goat Anti-Mouse IgG (H+L)-HRP Conjugate (Cat # 172-1011; Bio-Rad Laboratories, Hemel Hempstead, UK) secondary antibody.

Molecular biology and Microscopy

BCL-3 over-expression vector was obtained from Allan Brasier’s Laboratory [12] and the p65dsRed plasmid has been previously described [16]. Transfection was performed using ExGen500 (Fermentas, St Leon-Rot, Germany) following the routine procedure. Samples were analysed 48 h following transfection. For time-lapse imaging, cells were grown on 35 mm tissue culture dishes (Iwaki, Japan) in 3 ml of media, visualised using a Zeiss LSM 710 confocal laser scanning microscope and nuclear/total fluorescence levels determined using CellTracker software version 0.6 [29].

For immuno-labelling, cells were grown on cover slips (22 mm diameter; Scientific Laboratory Supplies Ltd, Wilford, UK) and fixed with 4% paraformaldehyde (10 min; Electron Microscopy Sciences). After rinsing in PBS, samples were washed with 1% Triton X-100 in PBS (15 min; Sigma-Aldrich), washed 3x with PBS and 3x with PBS+ (PBS, 0.1% Tween-20, 1% BSA). Cover slips were incubated with PBS+ (30 min) prior to incubation with p65 binding antibody (1:500 in PBS+; 4°C for 16 h; #3034; Cell Signalling Technology). Cover slips were washed 3x in PBS and 3x in PBS+ and incubated with Cy^TM3-conjugated AffiniPure Donkey Anti-Rabbit IgG (H+L) secondary antibody (1:1000 in PBS+; 30 min; Jackson Immuno Research Laboratories, Inc.). Cover slips were finally washed 3x in PBS+, 3x in PBS and mounted in Vectorshield containing DAPI (Vector Labs). Images were collected using Zeiss LSM 710 confocal laser scanning microscope.

ChIP

Analysis by ChIP was performed as described [30]. Chromatin was sonicated using a Cole Palmer Ultrasonic processor. Primers for amplifying at the distal TNFA promoter κB site (Figure 1E) were Distal κB site-FOR (GGCTCTGAGGAATGGGTTAC) and Distal κB site- REV (GAGGTCCTGGAGGCTCTTTC). Primers amplifying the TNFA gene TSS were TNF TSS-FOR (GGACAGCAGAGGACCAGCTA) and TNF TSS-REV (GTCCTTTCCAGGGGAGAGAG). Primers amplifying the BCL-3 gene TSS were BCL-3 TSS-FOR (GGGCCAGAAAGACAAAAACA) and BCL-3 TSS-REV (CCCAGGGGTTTCCTGGAC). Antobodies used are as follows: Anti-mouse IgG (12-371), Anti-p65 C terminus (06-418), Anti-RNA polymerase II (050623), anti-acetyl histone 3 (06-599, all Millipore) and anti-BCL-3 (sc-185; Santa Cruz Biotechnology).

Chromatin accessibility assay

Cells were stimulated with TNFα, trypsinised, spun down, washed 2x with cold PBS, cell membranes were then lysed with a Cell Lysis buffer (5 mM PIPES pH 8.0; 85 mM KCl; 0.5% Nonidet P-40). Nuclei were re-suspended in NE Buffer 2 (New England BioLabs Ltd., Hitchin, UK) and incubated with XcmI enzyme (New England BioLabs Ltd., Hitchin, UK; 37°C; 1 h), the reaction was then terminated (65°C; 30 min), followed by genomic DNA extraction. DNA was quantified in a qRT-PCR reaction (10 min at 95°C; 40 cycles - 95°C 15 seconds/58°C 1 min) with the primers XcmIsite-FOR (GGGCCAGAAAGACAAAAACA) and XcmIsite-REV (CCACTCACCGGGGTAGTAAA).

Data analysis modelling and graphical representation

Model data was generated using MATLAB R2010a (MathWorks) and data was plotted using GraphPad Prism 5 (GraphPad Software, Inc). P values were calculated using Students T test, assuming a normal distribution of data. Error bars show standard deviation.