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Diversity within the p53 transcriptional network can arise from a matrix of changes that include target response element sequences and p53 expression level variations. We previously found that wild type p53 (WT p53) can regulate expression of most innate immune-related Toll-like-receptor genes (TLRs) in human cells, thereby affecting immune responses. Since many tumor-associated p53 mutants exhibit change-of-spectrum transactivation from various p53 targets, we examined the ability of twenty-five p53 mutants to activate endogenous expression of the TLR gene family in p53 null human cancer cell lines following transfection with p53 mutant expression vectors. While many mutants retained the ability to drive TLR expression at WT levels, others exhibited null, limited, or change-of-spectrum transactivation of TLR genes. Using TLR3 signaling as a model, we show that some cancer-associated p53 mutants amplify cytokine, chemokine and apoptotic responses after stimulation by the cognate ligand poly(I:C). Furthermore, restoration of WT p53 activity for loss-of-function p53 mutants by the p53 reactivating drug RITA restored p53 regulation of TLR3 gene expression and enhanced DNA damage-induced apoptosis via TLR3 signaling. Overall, our findings have many implications for understanding the impact of WT and mutant p53 in immunological responses and cancer therapy.
The tumor suppressor p53 is a sequence-dependent transcription factor that is critical for several signaling events in response to a variety of stress signals. Once activated, p53 orchestrates expression of many genes that regulate transient cell cycle arrest, senescence, DNA repair and cell death, which all aid in tumor suppression . The importance of p53 as a tumor suppressor is demonstrated by the fact that TP53 gene mutations are the most frequent somatic events in cancers [2, 3]. Most cancer-associated p53 mutations are missense and mostly located in the DNA binding domain of the protein, affecting its transcription factor activities. Among the different mutations that have been associated with cancer, approximately one-third retain transactivation capability [4–7]. Many of these can result in a change-of-spectrum transactivation of various p53 targets, thereby altering subsequent cellular responses such as DNA repair, genome stability and programmed cell death that facilitates tumorigenesis [4, 6, 8]. Since many tumors express mutant p53, there is a large effort to identify small molecules, such as RITA , that restore p53 tumor suppressor functions in tumor cells harboring mutant p53.
Genome-wide analyses using chromatin immunoprecipitation (ChIP) followed by next generation DNA sequencing and expression profiling have increased the list of validated p53-regulated genes beyond just regulation of cell cycle and cell fate that respond to cellular and genotoxic stresses. Several additional cellular processes that are also important to p53 tumor suppressor activities [10–12] have been revealed including genes involved in stem cell maintenance, restriction of invasion and metastasis, metabolism, autophagy and communication within the tumor microenvironment including immune responses . Recent studies have emphasized the role of p53 in influencing and modulating the human immune system against tumors [14, 15]. For example, DNA damage can trigger p53 responses that help orchestrate clearance of damaged cells via the innate immune system [16, 17].
The Toll-like receptors (TLRs) play a key role in host defense against invading pathogens, mediating immediate and early host defense responses as well as orchestrating adaptive immune responses. TLRs are membrane glycoproteins that function as primary sensors of pathogen-associated molecular patterns (PAMPS) from viruses, bacteria, fungi and parasites. The human TLR gene family consists of ten genes, TLR1 to TLR10, and each TLR recognizes distinct PAMPs. For example, TLR4 on the cell surface detects gram-negative bacterial lipopolysaccharide (LPS), and TLR3 located in endosome vesicles recognizes viral dsRNA . After ligand activation, TLRs orchestrate downstream signaling pathways involving adaptor proteins, protein kinases and effector transcription factors that ultimately induce expression of pro-inflammatory mediators including cytokines, chemokines and interferons [19, 20]. TLRs are required not only for the organization of innate responses to pathogens but also for optimal activation of the immune system against cancer . Since TLRs also can modulate adaptive immune responses, there has been an emphasis on TLR-based therapeutic approaches that enhance the efficiency of anticancer immunotherapies . However, there have been conflicting reports concerning the pro- or antitumoral role of several TLRs .
Recently, our lab and others identified TLR human gene family members as p53 targets and responsive to chromosomal stress. We also established that this responsiveness is not available in rodents. Exposure of various human immune-related primary cells as well as cancer-derived cells to common anticancer agents led to p53-dependent modulation of most TLR genes resulting in a synergistic increase of downstream responses to cognate ligands for the TLR2, TLR3 and TLR5 [23–26]. Previously, we described a small number of tumor-associated p53 mutants that when transiently expressed in human cancer cells dramatically influenced the expression of some TLR genes . However, the impact of those p53 mutations on downstream TLR signaling was not elucidated, nor was the effect of stress conditions.
Based on our previous results, we anticipated that p53 mutations might alter the p53 responsiveness of immune pathways so that a combination of immune ligand along with chemotherapeutically induced p53 might alter inflammatory and immune type responses against tumors. Here, we have addressed the consequences of p53 mutants identified in human cancers on challenges to the TLR component of the immune system. We investigated the impact of twenty-five cancer-associated p53 mutants on expression of the TLR gene family. Using the TLR3 pathway as proof-of-principle, we examined the impact of the p53 mutants on downstream immune signaling in response to a TLR3 cognate ligand and chemotherapeutic drugs. Since TLR3 along with its downstream signaling responses have anti-cancer properties including immune-mediated tumor growth suppression and a direct apoptotic effect on TLR3 expressing cancer cells [27–30], TLR3 is currently being investigated for therapeutic interventions in cancer treatment [21, 31]. We found that p53 mutants that retain the ability to transactivate TLR3, can be used together with the TLR3 agonist polyinosinic-polycytidylic acid (poly(I:C) to alter immune responses mediated by this receptor and subsequently increase TLR3-mediated apoptosis. Moreover, we demonstrate that the functional recovery of p53 activity with the reactivating drug RITA can restore p53 responsiveness of TLR3 gene expression including enhanced DNA damage-induced apoptosis via TLR3 poly(I:C) signaling.
Previously, we had established that WT p53 can modify responsiveness of most TLRs in several human cancer cell lines in a tissue-dependent manner . Since p53 mutants vary in their ability to induce transactivation from p53 targets, we assessed the potential for p53 mutant proteins expressed from vectors to modulate expression of endogenous TLR genes in two human cancer cell lines that are p53 null. A total of 25 different p53 mutants including 21 that are cancer-associated were evaluated (Supplementary Table S1). The mRNA levels expressed from the various TLRs were evaluated approximately 24 h after transfection, as described in the heat map in Figure Figure11.
Transient expression of WT p53 in SaOS2 osteosarcoma cells resulted in induction of 7 of the 10 TLR genes, while in HCT116 colon cells expression was significantly increased for only 4 genes. The responses of the established p53 target gene p21(CDKN1A) and the nontarget beta 2 microglobulin (B2M) gene were included as controls. Consistent with our previous findings, TLR8 mRNA was not detected in either cell type while TLR4 was only expressed in SaOS2 cells .
When compared to the expression profile induced by WT p53, several p53 mutants (S121F, P151H, H178Y, G279R) retain the ability to induce or repress at similar levels the expression of at least one TLR gene, while another group that included T125R, M133T, A138V, P190L, V272L, C277W and R337H exhibited a limited transactivation potential as well as change-of-spectrum of TLR genes expressed. Cell line-specific expression patterns were also observed, as for the case of TLR9. In HCT116, expression of WT p53 and several mutants resulted in a reduced TLR9 expression while in SaOS2 there was increased expression, suggesting the involvement of cell specific co-regulatory factors. The loss-of-function group of mutants R175H, G245D, G245S, R273C and G279E (depicted in blue in the Figure Figure1)1) did not induce any TLR genes in either cell line, excluding the possibility of gain-of-function activity  for these mutants towards some genes. For p21 expression, the mutants showed various transactivation profiles, supporting the diversity in transactivation activities by p53 mutants. Thus, several tumor-associated p53 mutants that retain transcriptional activities can modulate the innate immune response.
We hypothesized that some of the p53 mutants could also influence the downstream signaling mediated by TLRs in response to their cognate ligands, as described previously for WT p53 [24–26]. We identified a group of p53 mutants that changed the pattern of TLR expressed genes relative to WT p53 in at least one of the two cell lines evaluated. For example, a group of p53 mutants that included M133T, A138V, P190L and C277W have decreased ability to drive the expression of TLR3, while the activity of the other p53 variants towards TLR3 such as P151H, H178Y, G279R and R337H was similar to WT p53 (Figure (Figure1).1). Our subsequent studies reported here focus on the p53/TLR3 interactions as a model for other possible studies on p53/TLR relationships.
As shown in Figure 2A-2B, changes in TLR3 gene expression (Figure (Figure2A)2A) correlate well with differential p53 binding in the promoter region of this gene based on ChIP assays (Figure (Figure2B)2B) following expression of some of the above p53 mutants. Similar to WT p53, the p53 mutants P151H, H178Y, G279R and R337H, but not A138V, bound the TLR3 p53 response element located in the promoter region (Figure (Figure2B)2B) and enhanced TLR3 mRNA levels (Figure (Figure2A).2A). Binding by these mutant proteins was also observed at the p53 RE associated with p21 although there were relative differences, as for A138V and H178Y, suggesting that p53 mutants can have different specificities for p53 binding sequences. No binding was observed at the promoter region of the negative control GAPDH (Supplementary Figure S1). The increase in TLR3 and p21 mRNA levels induced by these p53 mutants corresponded to increases in these proteins (Figure (Figure2C).2C). The loss-of-function mutants R175H and G245S, which are unable to interact with canonical p53 binding sequences or induce TLR3 expression, were used as negative controls in these experiments and showed no binding to the TLR3 promoter region or increased TLR3 mRNA levels, as expected.
We also confirmed that P151H and R337H positively regulated TLR3 expression in a luciferase reporter assay using the promoter region of TLR3, which contains a validated binding site for p53 . Like WT p53, the expression in HCT116 p53−/− cells of P151H and R337H mutants, but not A138V, induced reporter gene expression, as shown in Figure Figure2D.2D. The p21 reporter responses were also consistent with altered binding and transactivation spectra of the A138V, P151H and R337H mutants. Taken together, p53 mutants proficient for binding to the TLR3 promoter can activate TLR3 transcription and protein expression in a manner that can be unique to each mutant and not a simple overall modulation of the WT p53 response.
TLR3 can directly trigger apoptosis in human cancer cells in response to the double-strand RNA synthetic agonist polyinosinic-polycytidylic acid (poly(I:C)) [28, 29], which is a mimic for viral double-stranded RNA that triggers an innate immune response following viral infection. In response to poly(I:C), TLR3 induces a type I interferon (IFN) along with inflammatory cytokine/chemokines. We reasoned that the combination of poly(I:C) and TLR3 downstream signaling would provide a model system for directly addressing the influence that p53 mutants might have on potential TLR signaling. We examined the effect of the p53 mutants on poly(I:C) stimulation of expression of several downstream inflammatory genes in HCT116 p53−/− cells transfected with the change-of-spectrum p53 mutants. Although TLR3 expression could be increased by WT p53 and some of the mutants (P151H and R337H), the levels were not further increased by poly(I:C) (Figure (Figure3A).3A). In HCT116 p53 null cells the basal levels of TLR3 are 50% less than in the HCT116 p53+/+ cells . Transient transfection with WT and plasmids expressing mutant p53 had no apparent influence on the expression of the IL-8 (CXCL8), IFN-β (IFNB1) and IL-6, nor did poly(I:C) (3h) on parental p53−/− cells or those transfected with the empty vector. However, like the WT p53, some of the p53 mutants could dramatically increase the poly(I:C) induced levels of IL-8, IFN-β and IL-6 mRNA. In cells expressing WT p53 and mutants P151H and R377H a significant induction of IL-8, IFN-β and IL-6 mRNA levels was observed after poly(I:C) treatment, whereas only a slight induction of cytokines resulted with A138V and G245S mutants (Figure (Figure3A).3A). Treatment with poly(I:C) had no impact on WT or p53 mutant mediated expression of the p53 target genes p21 and PUMA (BBC3) (Supplementary Figure S2). The stimulatory impact that TLR3 expression driven by p53 mutants has on the TLR3 response to poly(I:C) was also observed for secretion of the proapoptotic cytokine IL-6 as determined by ELISA (Figure (Figure3B).3B). Overall, our results show that some p53 mutants can synergistically enhance TLR3 induced immune responses.
Activation of TLR3 signaling by its agonists can induce apoptosis in human cancer cells [29, 33]. Based on the above results, we asked whether the p53 mutants that increased TLR3 levels and downstream inflammatory responses also enhanced the poly(I:C) apoptotic response. As shown in Figure Figure4A,4A, 24h exposure to poly(I:C) significantly increased the incidence of apoptosis in P151H and R337H expressing cells, as indicated by Annexin V staining, similar to WT p53. There was no increase for the A138V and G245S transfected cells. The impact of poly(I:C) on cell survival in p53 mutant expressing cells was also confirmed with a MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) based assay. The levels of cell death induced by WT p53, P151H and R337H in the presence of poly(I:C) were comparable to those detected in the isogenic HCT116 p53+/+ cells treated with poly(I:C) (Supplementary Figure S3A). Apoptosis in the p53 mutant expressing cells in response to poly(I:C) was dependent on caspase activity since the pan-caspase inhibitor z-VAD-fmk prevented the appearance of apoptotic cells (Supplementary Figure S3B). Furthermore, the poly(I:C) induced cell death in mutant p53 cells was significantly enhanced by co-treatment with the anticancer drug DXR (Figure (Figure4B)4B) when compared with either treatment alone. Overall, these data support the view that altering the TLR3 pathway, including increased TLR3 levels and downstream ligand induced activation, can potentially be exploited for cancer treatments utilizing existing mutants or WT p53 in combination with chemotherapeutic drugs.
Although p53 change-of-spectrum mutants can impact TLR expression and signaling, their frequency in tumors is low when compared with classical p53 hotspot mutants, which have lost the ability to interact with p53 binding sequences. As expected, these loss-of-function hotspot mutants do not influence TLR gene family expression (Figures (Figures11 and and2A).2A). We, therefore, investigated whether functional reactivation of endogenous loss-of-function mutants can restore p53-induced expression of TLR3 in several cancer cell lines carrying such p53 altered alleles. The cell line RAJI, which harbors the loss-of-function mutant alleles R213Q and Y234H [34–36] for p53 targets including TLR3 and p21 (Supplementary Figure S4A), was treated with the reactivating drugs RITA  and PRIMA-1  as well as with the anticancer drugs doxorubicin (DXR) and 5-fluorouracil (5FU) to induce p53.
As shown in Figure Figure5A,5A, RITA and PRIMA-1 increased the expression of the p53 targets p21 and PUMA, based on qPCR measurements at 24 after their addition to cell cultures, similar to previous reports for other p53 mutants [36, 37]. However, only RITA increased TLR3 expression. Although DXR and 5FU can activate WT p53 and even some change-of-spectrum mutants (see Figure Figure4B),4B), neither DXR nor 5FU treatment alone affected TLR3 expression in the RAJI cells. Yet, the combination of RITA, but not PRIMA, with DXR or 5FU led to a considerable increase in TLR3, p21 and PUMA expression (Figure (Figure5B,5B, Supplementary Figure S4), suggesting different mechanisms for restoring function and its potential transcriptional targets. To exclude the possibility that TLR3 was induced through p53-independent pathways activated after p53 mutant reactivation, we incubated the cells prior to RITA treatment with the p53-specific inhibitor pifithrin-α (PFT-α) . Treatment with PFT-α reduced TLR3 as well as P21 and PUMA mRNA expression to baseline levels, demonstrating the direct involvement of the p53 pathway (Figure (Figure5B5B and Supplementary Figure S4) in the RITA and RITA+DXR or RITA+5FU treated cells. The increases in expression are reflected in p53 protein occupancy at the TLR3 promoter (Figure (Figure5C5C and Supplementary Figure S4) and an increase in TLR3 protein (Figure (Figure5D).5D). RITA treatment also rescued the expression of TLR3, p21 and PUMA in other cancer cells harboring hotspot p53 mutations including R175H, R273H and R280K (Supplementary Figure S5A), although in two of the cells lines RITA treatment alone resulted in massive cell death (Supplementary Figure S5B).
Since there was significant restoration of TLR3 expression in RAJI cells after co-treatment with RITA and DNA damaging agents, we determined the effect of p53 mutant rescue by RITA on immune and apoptotic responses in RAJI cells following incubation with the TLR3 ligand poly(I:C). RITA, DXR and 5FU alone had no or just a few-fold effect on mRNA expression of IFN-α, IFN-β, TNF-α, IL-6 and IL-8, as shown in Figure 6A-6E. However, treatment with RITA led to a substantial increase in the downstream effect of poly(I:C) consistent with an impact of restored p53 on TLR3 expression. Both DXR and 5FU increased poly(I:C) signaling for some of the cytokines and this was generally additive with the effect of RITA. 5FU. The effects on apoptosis were somewhat similar. As shown in Figure Figure6F,6F, both RITA and DXR alone could increase the level of apoptosis approximately 2-3 fold, and this was increased by the addition of poly(I:C). A further, nearly additive increase was observed with the combination of poly(I:C) and RITA+DXR, reaching approximately 80% apoptosis in 24 hr. Similar results were found with poly(I:C) and RITA+5FU. Together, these results show that functional restoration of endogenous p53 mutants can increase TLR3 expression and synergize with DNA damaging agents to modulate TLR3 signaling responses in the presence of a cognate ligand.
Crosstalk between tumor cells and cells of the microenvironment is crucial for regulating tumorigenesis . Although the function of p53 as a barrier to cancer development has been extensively examined, recent studies have shown non-cell-autonomous effects of p53 in stimulating an anti-tumorigenic microenvironment . For example, Xue et al.  found that p53-dependent tumor regression in a mouse liver carcinoma model was related to induction of a senescence program through the upregulation of pro-inflammatory cytokines and activation of innate immune response, characterized by the recruitment of neutrophils, macrophages and natural killer (NK) cells. This senescence-associated phenotype identified with secretion of pro-tumorigenic cytokines and chemokines can be restrained or qualitatively modified by p53 in several cell types in mouse [39, 41]. Moreover, gene expression analyses has shown that p53 directly induces numerous genes involved in triggering the recruitment of immune cells and immune surveillance in human cells , which can involve the TLR gene family.
Besides the canonical pathogen protection functions of TLRs, they are also expressed in many cancer epithelial cells and can affect tumor growth . In addition, TLRs are activated by a wide array of endogenous molecules released from self-cells following tissue damage (known as damage-associated molecular pattern, DAMP) such as hyaluronic acid and molecules derived from necrotic and apoptotic cells including nucleic acids . Many DAMPS are generated by cancer cells in response to chemotherapeutic drugs such as DXR and cyclophosphamide . The interpretation of such signals by innate immune responding cells such as macrophages or dendritic cells can stimulate tumor-specific immune responses that in some settings enhance anticancer therapy. TLR antagonists as well as agonists of their negative regulators are now being developed for the treatment of cancer, allergies and viral infections and as vaccine adjuvants to enhance immune responses against tumors and infectious diseases [44, 45].
Since p53 can directly influence expression of the TLR gene family and downstream immune/inflammatory responses [24–26], understanding the relationship between p53 and its mutants with the immune system is expected to be important for addressing tumor progression and therapeutic approaches, especially since many therapies result in DNA damage and induction of available p53. Here, we showed differences in the TLR responsiveness to tumor-associated p53 mutants. In addition to loss or simple reduction, some mutants resulted in a change-in-spectrum with regards to induction of individual TLR genes. These results suggest differences in opportunities to exploit p53 mutant status in p53 mediated immune responses, especially if p53 could be reactivated.
Using TLR3 and the poly(I:C) agonist as a model, we have shown how p53 mutants can vary in their influence on immune and apoptotic signaling mediated by this receptor in response to a ligand, with some mutants retaining a strong p53 mediated enhancement of ligand responsiveness. The immune response stimulated via TLR3 has been proposed for development of anticancer therapies, and several poly(I:C) derived agonists of TLR3 are under clinical investigation [31, 46]. In addition, TLR3 has been implicated in the induction of apoptosis in response to genotoxic stresses or immune challenges. For example, Paone et al.,  showed that poly(I:C) treatment induced TLR3 dependent apoptosis in human prostate cancer cells. Particularly relevant to the current findings was that cell lines with mutant p53 were less responsive. Moreover, Taura et al.  reported that anticancer drugs including 5FU, cisplatin, etoposide, and interferons could increase poly(I:C)-induced cell death in HCT116 cells that are WT p53. Based on our findings, we speculate that treatment with poly(I:C) agonists alone or in the presence of traditional chemotherapeutic agents may be more effective in patients with tumors that have TLR3-enhancing p53 mutants, such as P151H and R337H compared to A138V and G245S p53 mutants (that have no effect on TLR3 responses). Additionally, the use of poly(I:C) agonists may be best for types of cancer that have a high incidence of TLR3-enhancing p53 mutants like the R337H mutation, that has been identified in subjects with Li-Fraumeni-like syndrome with pediatric adrenal cortical carcinoma, which has a significantly increased frequency in Brazil . Thus, knowing the p53 mutation status of tumor cells could be used to predict the responsiveness of cancer patients to poly(I:C) agonists in the clinic.
Based on our TLR3 results, expression profiling of other TLR gene family members in response to cancer-related p53 mutants (Figure (Figure1)1) may open additional strategies for their use in therapies. We recently demonstrated that Nutlin, an activator of WT p53 functions, can greatly enhance the TLR5 downstream mediated responses to its natural ligand flagellin . Among the mutants evaluated in the present study, P151H, H178Y and P190L resulted in increased TLR5 expression, whereas the M133T mutant down-regulated expression.
Since most of the commonly found p53 mutations are loss-of-function, pharmacological restoration of p53 function is an obvious therapeutic strategy against human cancers. Over the past decade, several small molecules have been identified that inactivate mutant p53 or restore WT p53 response in mutant p53 protein including PRIMA-1, MIRA-1, Elipticin, CDB3, WR1065, NSC319726, p53R3 and CP-31398, although their mechanisms of action in many cases remain to be clarified . In particular, RITA was found to suppress growth of cancer cell lines carrying various p53 mutations and restored the transcriptional functions of several p53 mutant alleles including R175H, R213Q, Y234H, R248W, R273H and R280K that resulted in induction of apoptosis [36, 48]. Here, we found that RITA rescued p53-induced TLR3 expression in RAJI cells, which carry two nonfunctional p53 mutant alleles (R213Q and Y234H). In the present study, we establish a new role for RITA. It synergizes with DNA damaging drugs to increase TLR3 expression, enhancing its immune and apoptotic responses mediated by to its agonist poly(I:C). Without functional reactivation of the p53 altered alleles in RAJI cells, treatment with DXR or 5FU alone has no significant effect on TLR3 expression or impact on its downstream signaling. The combination of reactivation of p53 along with enhancement of target TLR genes and exposure to appropriate TLR agonists suggests unique immune approaches to the development of anti-cancer drugs and drug combinations based on immune responses via the TLR gene family .
A profile of TLR gene expression patterns in specific tumors in response to p53 and DNA damaging agents combined with knowledge of p53 expression and mutation status in these tumors can be an important tool in cancer diagnosis and in strategies that target TLR pathway for human cancer therapy. We note that while rodents have served as excellent models systems for addressing p53 functions the lack of direct p53 responsiveness of the mouse TLR gene family precludes their use in developing human therapies based on p53 modulation of TLR responses . Given the diversity of p53 mutants in human cancers, it would be useful to understand the overall matrix that dictates immune responses mediated by the family of TLR proteins within the tumor microenvironment, consequences of various agonists and the impact of specific p53 mutant or WT proteins  following p53 activating treatments. When combined with information about p53 status and functionality, we propose that the impact of p53 activation could be additive or even synergistic in TLR targeted cancer chemotherapy. However, manipulation of TLR signaling in the context of cancer must be done judiciously, especially with regard to the effect of TLR activation on tumor cells as well as the tumor microenvironment . Choices of TLR targets would be tumor specific and depend on p53 WT or mutant status. Furthermore, downstream aspects of TLR and p53 pathways have important therapeutic implications, since many of the deleterious side effects of genotoxic chemotherapies could actually result from chemoresistance arising from p53 mutations . Strategies that overcome these effects without compromising normal p53 tumor suppressor function in the rest of the body would be valuable for cancer therapy .
SaOS2 (HTB-85), RAJI (CCL86), SKBR3 (HTB-30), SW620 (CCL227) and MDA-MB-231 (HTB-26) cells were purchased from the American Type Culture Collection (ATCC, Manassas, VA) and cultured as indicated by ATCC. HCT116 p53−/− and p53+/+ cells were a gift from Dr. Bert Vogelstein (John Hopkins University, Baltimore, MD). They were grown in McCoy's 5A supplemented with 10% FBS and 1% penicillin-streptomycin (Life Technologies, Carlsbad, CA). All cell cultures were maintained at 37°C with 5% CO2. Cells were plated 18-24h before being treated with Doxorubicin (DXR, 1μM), 5-Fluorouracil (5FU, 300μM, Sigma, St Louis, MO), RITA (1μM), or PRIMA-1MET (10μM, Cayman chemicals, Ann Arbor, MI). The TLR3 agonist poly(I:C) was from Invivogen (San Diego, CA) and was used at 5 μg/mL. Where indicated, cells were pretreated with 10 μM pifithrin-α or 20 μM pan-caspase inhibitor Z-VAD-fmk (Sigma) 3 and 2 h, respectively, prior to p53 reactivation or drug treatment.
WT p53 expression vector pC53-SN3 and WWP-Luc (p21/WAF1 promoter; Addgene plasmid # 16451) were a gift from B. Vogelstein. All of the p53 point-mutant constructs described in the text were derived from pC53-SN3 vector and prepared using the QuikChange II XL site-directed mutagenesis kit (Stratagene, La Jolla, CA) according to the manufacturer's instructions. The TLR3 promoter:luc reporter plasmid was constructed in pGL3 Basic:luciferase vector (Promega, Madison, WI) as described in reference . Sequences of all the constructs developed for this study were confirmed by DNA sequencing.
Transient transfections with p53 mutants were carried out using FuGENE 6 reagent (Promega), according to the manufacturer's instructions. Briefly, cells were plated in 6-well plates and transfected in triplicate with 1μg of p53 expression constructs. After 24 h, cells were harvested. For luciferase assays, p53−/− HCT116 cells seeded into 12-well plates were transfected with 0.25 μg of the luciferase reporter vector together with 50ng of p53 expression vector; 25 ng of pRL-TK Renilla luciferase plasmid (Promega) was used as a transfection efficiency control. Luciferase activities were measured 48 h post-transfection with a Synergy2 Multi-mode Microplate reader (Bio-Tek Instruments Inc., Winooski, VT, using the dual-luciferase assay system (Promega), according to the manufacturer's protocol. Relative luciferase activity for each construct was defined as the mean value of the firefly luciferase/Renilla luciferase ratios obtained from three independent experiments, each performed in triplicate.
Whole and nuclear protein fractions were prepared using RIPA lysis buffer and NE-PER extraction kit, respectively (ThermoScientifc, Cincinnati, OH), following manufacturer instructions. Equal amounts of whole cell or nuclear protein lysates, previously quantified using BCA protein assay kit (Thermo Scientific), were processed for western blotting as described . The following are the antibodies used in this study: p53 (DO-1); GAPDH (6C5) and tubulin (Ab:H-90) used for loading controls (Santa Cruz Biotechnology, Santa Cruz, CA); TLR3 (3643) antibody from ProSci (Poway, CA); and p21 (SX118, BD, Biosciences, San Jose CA). The membranes were probed with appropriate primary antibodies overnight at 4°C or for 2 h at room temperature followed by incubation with the appropriate HRP-linked secondary antibodies (Santa Cruz Biotechnology). Proteins were visualized using enhanced chemiluminescence reagents (Pico Reagent, Thermo Scientific).
Total RNA was extracted from cells using the RNeasy Mini Kit in the presence of DNAse (QIAGEN, Valencia, CA). Complementary DNAs (cDNA) were generated from 1 μg of purified RNA using TaqMan reverse transcription reagents (Applied Biosystems, Foster City, CA); then, TaqMan RT-PCR was performed with the HT7900 system (Applied Biosystems) using TLRs, p21 and B2M pre-validated primers, as described in [24–26].
Secreted IL-6 from treated cells was quantified using the IL-6 Human ELISA Kit from eBioscience (San Diego, CA) following the manufacturer's protocol.
ChIP assays were performed as described  in triplicate. Briefly, after treatment, the cellular material was cross-linked with methanol free 1% formaldehyde (Sigma). Then, cell lysates were sonicated using conditions that yield 200-500 bp DNA fragments using a Bioruptor XL (Diagenode, Denville, NJ). DNA-protein complexes were immunoprecipitated with 1 μg of DO-1 p53-specific monoclonal antibody per condition. Mouse Ig (Santa Cruz Biotechnology) was used as a negative control. qPCR was performed on immunoprecipitated chromatin to determine p53 enrichment occupancy on TLR3 and p21 promoter regions. Amplification of GADPH promoter region was used as a negative control. ChIP primers for TLR3, p21 and GADPH were previously described [23–24]. qPCR and melting curve analysis was performed using the SYBR® Green (Invitrogen) dye detection method on the ABI PRISM 7900 HT Sequence Detection System under default conditions. Enrichment in the ChIP samples was calculated as a fraction of the Input (%).
Briefly, after the indicated treatment, both floating and non-floating cells were collected and washed twice in PBS. The level of apoptosis was measured by flow cytometry using the Annexin V/PI assay (BD, Biosciences) according to the manufacturer's protocol using BD LSRII (BD, Biosciences) equipment. Data were collected on 10,000 cells. Apoptotic fractions were determined where cells positive for Annexin V staining but not propidium iodide were counted.
Cells were seeded into 96-well plates at 2,000 cells/well, in 100 μL of medium and incubated for 24 h. The next day, cells were exposed to the indicated drugs for the indicated times. Following treatments, the CellTiter 96 One Solution assay (Promega) was used to measure cell proliferation status, per manufacturer's instructions. Optical densities were measured using a Synergy2 Multi-mode Microplate reader (Bio-Tek Instruments). Triplicate wells were assayed for each condition.
Data were graphed and analyzed with Graphpad Prism6 software. The data presented correspond to the mean ± SD of at least three experiments where each was done in triplicate. Statistically significant differences were identified using two way ANOVA. p-values < 0.001 were considered statistically significant.
We thank Drs. Carl W. Anderson and Shepherd Schurman for critical review of the manuscript. We thank the NIEHS flow cytometry core facility.
CONFLICTS OF INTEREST
The authors have no conflict of interest to declare.
This research was supported by the Intramural Research Program of the National Institutes of Health, NIEHS Z01-ES065079 [to MAR].