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1 Biological Engineering Division and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts; and 2 Laboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, Maryland
| ABSTRACT |
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| INTRODUCTION |
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Wild-type p53 is a critical cellular gatekeeper for growth and division that mediates DNA damage-induced cell-cycle arrest and apoptosis (5) through, at least in part, the transcriptional activation of p21WAF1, an inhibitor of cyclin-dependent kinases (6) . Biochemical mechanisms underlying apoptotic responses activated by p53 remain incompletely characterized, although its transcriptional activity is clearly involved, as evidenced by the fact that most TP53 mutations in human cancer are missense and map to the DNA binding domain of the protein (7) . Among the many genes transcriptionally up-regulated in response to p53 activation, early studies showed the involvement of p53-inducible genes (PIG; Ref. 8 ), as well as Bax (9) , Fas/CD95 (4) , and death receptor 5 (DR5; Ref. 10 ) in apoptosis, whereas others indicated that neither Bax nor DR5 were absolutely required (11 , 12) and argued that Fas/CD95 may be a downstream target of p53 (13 , 14) . Recent evidence suggests that death receptor 4 (DR4) may also be regulated by p53, and its expression induced by DNA damage (15) . Lately, global analysis of gene expression after p53 activation has yielded numerous novel p53 transcriptional target genes, including some with clear proapoptotic properties, such as the BH3-only proteins BBC3 (PUMA; Refs. 16 , 17 ) and PMAIP1 (NOXA; Ref. 18 ), the apoptotic protease-activating factor APAF-1 (19 , 20) , and the serine protease PRSS25 (HTRA2; Ref. 21 ). Still, neither the single-gene approach nor gene expression profiling alone has been shown to accurately reflect the complex network of responses that characterizes an apoptotic program.
Mitochondria play a central role in apoptotic events through release of the proapoptotic factors cytochrome c, Smac, apoptosis-inducing factor (AIF), and endonuclease G (3) . The Bcl-2 family of proteins, comprising both antiapoptotic (Bcl-2 and Bcl-x/L) and proapoptotic (Bax, Bak, Bid, NOXA, and PUMA) members, integrates diverse cell death signals and regulates the integrity of mitochondrial membrane (3 , 22) . Activated p53 can directly or indirectly modulate the expression of these and other proteins that control mitochondrial membrane permeability and, therefore, the release of mitochondrial proteins during apoptosis (23) . We previously found that NO· treatment resulted in mitochondrial membrane depolarization and cytochrome c release in a pair of closely related human lymphoblastoid cells harboring either wild-type (TK6 cells) or mutant p53 (WTK1 cells), but the apoptotic response was substantially different in the two cell types (24) . In this study, we explore the involvement of the Bcl-2 family of proteins in NO·-induced cell death as well as release of the mitochondrial proapoptotic factors Smac, AIF, and endonuclease G. Smac promotes caspase activation by binding to inhibitors of apoptosis proteins (IAPs) and suppressing their antiapoptotic activity (25) . AIF and endonuclease G translocate from mitochondria to nuclei during apoptosis, where they induce caspase-independent chromatin condensation and large-scale (50 kb) DNA cleavage (26, 27, 28) .
The IAP family proteins X-chromosome-linked inhibitor of apoptosis (XIAP) and cellular inhibitor of apoptosis protein-1 (cIAP-1) are potent suppressors of apoptosis that act by directly inhibiting distinct caspases (29) . Their caspase-inhibiting activity is negatively regulated by Smac (25) . IAP family proteins also possess ubiquitin protein ligase (E3) activity and mediate their own ubiquitination and degradation in apoptosis induced by dexamethasone or etoposide in mouse thymocytes (30) . Our previous study suggested that XIAP protein is down-regulated by p53 in NO·-induced apoptosis in human lymphoblasts (24) . Additionally, two recent reports indicated that the IAP family member survivin is transcriptionally repressed by wild-type p53 and participates in p53-dependent apoptosis (31 , 32) .
We previously showed that apoptosis induced by NO· was delayed and greatly reduced in magnitude in WTK1 cells compared with TK6 cells (24) . Separately, we also found that peroxynitrite generated by SIN-1 decomposition induced time-dependent apoptosis in TK6 cells but not in WTK1 cells (33) . Other investigators have reported that p53 was involved in, but not required for, ionizing radiation-induced caspase-3 activation and apoptosis in the same cell lines (34) . We conducted the present study to characterize more completely the signaling pathways affected by NO· exposure in TK6 and WTK1. We found that induction of apoptosis by NO· treatment in TK6 cells correlated with activation of both mitochondria-dependent and Fas/CD95 (but not DR4 and -5)/caspase-8-dependent pathways. The involvement of both pathways was evidenced by transcriptional up-regulation of p53 target genes. Moreover, levels of IAP, AIF, Fas/CD95, Bid, Bcl-2, and Bcl-x/L proteins, but not of Bax, Bak, DR4, and DR5 proteins, were affected by NO· in p53-wild-type TK6 cells but remained unchanged in p53-mutant WTK1 cells. Apoptosis was much delayed and diminished in WTK1 cells, although they still showed an early transcriptional response to NO· and release of certain apoptogenic factors. Therefore, a complex network of p53-dependent and -independent pathways are modulated by NO· exposure and contribute to the apoptotic response in lymphoblastoid cells.
| MATERIALS AND METHODS |
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NO· Treatment.
NO· treatment was as described previously (24)
. Briefly, cells at a density of 4 x 105 cells/ml in 100 ml of custom RPMI 1640 without calcium nitrate (Life Technologies) and calf serum were exposed to pure NO· gas (Matheson, Gloucester, MA) by diffusion through Silastic tubing (0.025-inch inner diameter; 0.047-inch outer diameter; Dow Corning, Midland, MI) delivery system. NO· diffuses through this permeable membrane at a constant rate, and was delivered through 30-cm-long tubing into the medium of well-stirred cell suspensions for 2 h. Cells similarly exposed to argon gas served as negative controls. Total dose (and rate) of NO· delivered under these conditions was 390 µmol (533 nM/s), calculated from the nitrite plus nitrate content of the medium as determined by automated analysis using the Griess reagent [N-(1-napthy)-ethylenediamine and sulfanilic acid] (35)
. At the end of treatment, cells were collected by centrifugation, washed once, resuspended in fresh culture medium containing 10% heat-inactivated calf serum, and incubated at 37°C. At the indicated times, cells were washed in cold PBS, harvested, and stored at 80°C for RNA or protein extraction.
cDNA Microarray Hybridization.
Cells were lysed with TRIzol reagent (Invitrogen, Carlsbad, CA), and total RNA was extracted according to the manufacturers instructions at 0, 6, 12, and 24 h after NO· treatment. Fluorescently labeled cDNA probes were generated with 40 µg of total RNA by a single round of reverse transcription in the presence of aminoallyl-dUTP (Sigma, St. Louis, MO), followed by a coupling reaction to Cy3 or Cy5 monofunctional N-hydroxysuccinimide ester (Amersham Pharmacia, Piscataway, NJ). Complex probes (usually containing untreated Cy3-labeled cDNA and NO·-treated Cy5-labeled cDNA) were denatured, hybridized to glass slides featuring 9180 cDNA clones based on the Hs Unigene build #131 platform (7102 "named" genes, 1179 expressed sequence tag clones, and 122 Incyte clones), and printed by the National Cancer Institute Microarray Facility, Advanced Technology Center, Gaithersburg, MD. After overnight incubation at 42°C, the slides were washed successively in 1x SSC0.1% SDS, 1x SSC, and 0.2x SSC for 2 min each, then rinsed in 0.5x SSC and spin-dried. The two fluorescent intensities were measured simultaneously with a GenePix 4000A scanner, and the acquired image was processed with GenePix Pro 3.0 software (Axon Instruments, Union City, CA). The basic raw data and derived ratio measurements were then uploaded to the National Cancer Institute MicroArray Database system for normalization and data extraction in formats compatible with microarray analysis tools.
cDNA Microarray Analysis and Statistics.
After determination of the overall quality of the arrays by visual inspection and signal-to-background ratios, spot size and intensity filters were applied to all measurements in each array. Hybridization quality replicates consisting of the same RNA samples applied to two independent arrays as well as exposure reproducibility replicates consisting of separate samples simultaneously exposed on parallel delivery systems or completely independent exposures (done on different days from freshly grown cells) were used to minimize random fluctuations in gene expression. The overall array similarity was assessed by Pearson correlation coefficient. Hybridization quality replicates showed Pearson correlation coefficients >0.8, whereas the correlation among completely independent exposures of the same cell line showed Pearson correlation coefficients of 0.60.7.
Unsupervised and supervised analysis algorithms were used to identify genes and signaling pathways affected by NO· exposure. For unsupervised analysis of expression trends across time points in both cell lines, genes were selected based on an arbitrary threshold of up- or down-regulation of their normalized Cy5:Cy3 ratios and were subjected to hierarchical clustering analysis using CLUSTER and TREEVIEW software (36) . We used the BRB Array Tools software developed by the Biometric Research Branch of the National Cancer Institute for the supervised analysis. This is an integrated package for the visualization and statistical analysis of cDNA microarray gene expression data. We used the Class Comparison Tool based on univariate F tests to identify genes differentially expressed between TK6 and WTK1 at 24 h after NO· exposure. The permutation distribution of the F statistic, based on 1000 random permutations, was also used to confirm statistical significance.
Quantitative Real-Time Reverse Transcription-PCR.
For validation of cDNA microarray results, cDNA was prepared by reverse transcription with oligo(dT) primer (Promega, Madison, WI) using 4 µg of total RNA extracted at 0, 6, 12, and 24 h after NO· treatment. Each PCR was carried out in triplicate in a 20-µl volume using Sybr Green Mastermix (Applied Biosystems, Foster City, CA) on the ABI Prism 7700 Sequence Detection System with standard parameters. The sequences of the primers used were as follows: BBC3 forward, 5'-GACTGTGAATCCTGTGCTCTGC-3'; BBC3 reverse, 5'-CGTCGCTCTCTCTAAACCTATGC-3'; PPM1D forward, 5'-TCGCTTGTCACCTTGCCAT-3'; PPM1D reverse, 5'-TGTGCTAGGAAGACCCGTCAT-5'; PMAIP1 forward, 5'-GCTCCAGCAGAGCTGGAAGT-3'; PMAIP1 reverse, 5'-GAAGTTTCTGCCGGAAGTTCA-3'; PIG3 forward, 5'-CGCTGAAATTCACCAAAGGTG-3'; and PIG3 reverse, 5'-AACCCATCGACCATCAAGAGC-3'. Dissociation curves and no-cDNA controls were generated for each primer pair to detect nonspecific amplification. A standard curve was generated for each primer pair as well as for glyceraldehyde-3-phosphate dehydrogenase (GAPDH; using in this case a predeveloped TaqMan assay), to which gene expression levels were normalized by a comparative threshold cycle method. Finally, a ratio was calculated comparing normalized gene expression values in treated versus untreated control for each cell line.
Antibodies.
Antibodies used for immunoblotting were purchased as follows: monoclonal anti-caspase 8, rabbit antihuman p53-phosphoserine 15, and monoclonal antibodies against XIAP, FADD, Bid, Bax, Bcl-x/L, Smac, caspase 10, caspase 3, and poly(ADP-ribose) polymerase (PARP) were from Cell Signaling Technology (Beverly, MA); affinity-purified rabbit antihuman/mouse cIAP-1 and rabbit antihuman survivin were from R&D Systems (Minneapolis, MN); rabbit anti-AIF and anti-endonuclease G were from ProSci Incorporated (Poway, CA); mouse anti-heat shock protein 60 monoclonal and rabbit anti-Fas, -DR4, and -DR5 were from StressGen Biotechnologies Corp (Victoria, BC, Canada); monoclonal antihuman p53 antibody (Ab-6), anti-Bcl-2 (Ab-3), anti-MDM2 (Ab-2), and antiactin (Ab-1) were from Oncogene (Cambridge, MA); purified mouse antihuman caspase 9 monoclonal was from PharMingen (San Diego, CA); affinity-purified rabbit antihuman Bak was from R&D Systems and Santa Cruz Biotechnology (Santa Cruz, CA); and goat and rabbit antimouse IgG conjugated to horseradish peroxidase were from Bio-Rad (Hercules, CA).
Whole-Cell Extract and Cytosolic and Mitochondrial Fraction Preparation.
Cells were lysed in 100 µl of cold CHAPS Cell Extract Buffer [50 mM Pipes-KOH (pH 6.5), 2 mM EDTA, 0.1% CHAPS, 20 mg/ml leupeptin, 10 mg/ml pepstatin A, and 10 mg/ml aprotinin, supplemented with 5 mM DTT and 1 mM phenylmethylsulfonyl fluoride; Cell Signaling Technology] for 30 min on ice, and then were subjected to three freezethaw cycles in liquid nitrogen and a 37°C water bath. The whole-cell lysate was centrifuged at 14,000 rpm for 10 min at 4°C, and the protein concentration in the resulting supernatant was measured with Bio-Rad protein assay before immunoblotting analysis. Cytosolic fractions were prepared as described previously (24)
and stored at 80°C for Smac analysis. Mitochondrial pellets separated from the cytosolic fraction were lysed with 100 µl of buffer B [50 mM HEPES (pH 7.4), 1% (v/v) NP40, 10% (v/v) glycerol, 1 mM EDTA, and 2 mM DTT] supplemented with a fresh cocktail of protease inhibitors (Roche Diagnostics GmbH, Mannheim, Germany). Samples were vortex-mixed from time to time during the 20-min incubation period on ice. Cellular debris was removed by centrifugation at 22,000 x g for 15 min at 4°C, and the resulting supernatants containing mitochondrial proteins were saved for AIF and endonuclease G analysis.
Western Blot Analysis.
For Western blot analysis, 50 µg of proteins from the whole-cell lysate or the cytosolic or mitochondrial fractions were denatured, resolved on 15% SDS-PAGE gels, and electrotransferred at 180 mA for 1 h onto a polyvinylidene difluoride membrane (Bio-Rad). Blots were probed with appropriate primary antibodies overnight at 4°C, followed by a secondary goat antirabbit or mouse IgG conjugated to horseradish peroxidase and determination of supersignal ultrachemiluminescence (Pierce, Rockford, IL) by exposure to Hyperfilm ECL (Amersham Pharmacia, Piscataway, NJ; Ref. 24
). All primary antibodies were diluted to a concentration of 1:1000 except for anti-Fas (1:2000), and -DR4 (1:1500); anti-cIAP-1, -survivin, and -AIF were used at a concentration of 1 µg/ml. To control for protein loading, membranes were stripped and reprobed with antiactin (1:10,000 dilution) or anti-heat shock protein 60 antibody (1 µg/ml). Densitometric values for appropriate bands on Western blots were quantified by Scion Image ß 4.02 software.3
Statistical Analysis.
Data values for quantitative real-time reverse transcription-PCR and Western blotting are expressed as means ± SD. Statistical analysis was performed with a two-tailed Students t test, and P < 0.05 was considered statistically significant.
| RESULTS |
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For the analysis of temporal patterns of gene expression, 136 genes were selected based on an arbitrary threshold of 2-fold up- or down-regulation of normalized Cy5:Cy3 ratios in at least one of the time points in either TK6 or WTK1 cells, using averaged gene expression values for duplicate arrays at each time point, and a criterion of genes present (after spot size and intensity filters) in at least 80% of the averaged arrays. Fig. 1
shows a graphic view in pseudo-color of gene expression clusters generated through a hierarchical algorithm that groups genes according to the similarities in their patterns of expression. In this type of analysis, genes belonging to a similar functional category tend to cluster together. Three main clusters that are specific for NO· treatment (not present in cells treated with argon) and correlate with length of incubation after exposure can be clearly distinguished in this display. The first group of genes (cluster I) represents an early transcriptional response that may not require protein synthesis and is independent of wild-type p53 (i.e., genes induced in both TK6 and WTK1 cells). Their expression peaks at 6 h after exposure and declines at later time points. The genes in the second group (cluster II) are induced with opposite kinetics (their expression rises steadily and peaks at 24 h after exposure) and are preferentially up-regulated in p53-wild-type TK6 cells. Lastly, there is a small cluster of genes (cluster III) with strong activation only in TK6 cells at 24 h after exposure. Many of the genes in cluster I code for transcription factors and include several C2H2-type and Kruppel-like zinc finger proteins; BATF, a basic leucine zipper protein that belongs to the AP-1/ATF superfamily of transcription factors; and HIF1A, the basic helix-loop-helix protein that activates transcription of hypoxia-inducible genes. Cluster II features several known p53 target genes, such as CDKN1A (p21WAF1), MDM2, PPM1D (WIP1), ENC1 (PIG10), GADD45, TNFRSF6 (Fas/CD95), and PMAIP1 (NOXA). No single category characterizes the genes in cluster III, which include the DNA replication and repair factor PCNA and the Bcl-2-interacting protein BNIP2. Taken together, these data indicate that there are distinct signaling pathways activated by NO· exposure that differ in terms of their dependence on wild-type p53.
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Protein Expression Changes Associated with NO· Exposure.
The stabilization and activation of p53 protein as a transcription factor is characterized by the appearance of post-translationally modified forms of the protein, which are detectable with epitope-specific antibodies. The most characteristic post-translational modification after NO· exposure is phosphorylation at Ser-15 (37)
which interferes with p53 binding to MDM2 and its subsequent degradation. MDM2 is also a p53 transcriptional target, creating a negative feedback loop that ensures down-regulation of the p53 DNA damage response (38
, Table 1
). Wild-type p53 protein levels increased progressively in TK6 cells through 24 h after NO· treatment, reaching a maximum elevation of 200% compared with argon-treated cells; the high basal level of mutant p53 protein in WTK1 cells showed no further increase after the same treatment (Table 2)
. Accumulation of p53 was accompanied by phosphoserine 15 modification (Supplementary Data Fig. 1). Conversely, MDM2 protein declined gradually, with maximum losses of 58% in TK6 cells and 21% in WTK1 cells 24 h after NO· treatment (Table 2)
. These findings, together with greater decreases in pro-caspase 3 and full-length PARP levels (Table 2)
, are consistent with our previous observations of faster and more pronounced apoptosis in TK6 cells than in WTK1 cells (24)
and with the finding that NO· treatment can induce elevated expression of wild-type p53 through an initial down-regulation of MDM2 that is independent of p53 (39)
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NO· treatment resulted in an 1830% reduction of Bcl-2 protein and a 1663% reduction of Bcl-x/L protein over periods of 424 h in TK6 cells, but neither protein level was altered in WTK1 cells (Table 2)
. In contrast, levels of the proapoptotic Bax and Bak proteins remained unchanged in both cell lines after NO· treatment (Table 3)
.
| DISCUSSION |
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In particular, the BH3-only proteins NOXA and PUMA are known to contribute directly to mitochondrial membrane depolarization, followed by release of cytochrome c and apoptosis (22) . A strong induction of PUMA in TK6 cells is consistent with its essential role in mediating p53-induced apoptosis in colorectal cancer cells, in which genetic disruption of BBC3 completely abrogates apoptosis induced by exogenous p53 or by DNA damage (40) . NOXA was up-regulated at early time points in WTK1 cells as well as TK6 cells, which indicates a p53-independent mechanism and may explain the fact that these cells show mitochondrial release of cytochrome c and Smac after NO· exposure, although WTK-1 cells are less sensitive to apoptosis (24) . The WIP1 phosphatase participates in a negative feedback loop that suppresses the activation of p53 and p38 mitogen-activated protein kinase after treatment with UV radiation (41) . The induction of WIP1 in TK6 cells was more pronounced after exposure to NO· or ionizing radiation than to doxorubicin (20) , suggesting that activation of some p53 targets, such as WIP1, may be unique to certain DNA-damage response stress pathways. The oxidoreductase homolog PIG3 is involved in the modulation of oxidative stress (8 , 42) , and its strong induction in TK6 cells may contribute to the increased oxidative stress that characterizes NO· metabolism (42 , 43) .
The present study offers further support for the proposal that TNFRSF6 is a p53-regulated gene (4)
by showing evidence from both mRNA and protein analyses that activated p53 in TK6 cells up-regulated Fas/CD95. In contrast, levels of the DR4 and DR5 proteins as well as their adaptor protein FADD were not affected by p53 status, conflicting with reports that DR4 and DR5 are DNA damage-inducible, p53-up-regulated genes (10
, 15)
and with the modest up-regulation of TNFRSF10B (DR5) observed in the microarray analysis. Others have demonstrated both p53-dependent and -independent regulation of DR5 gene expression in response to genotoxic stress and tumor necrosis factor
(12)
. These discrepancies suggest that modulation of DR4 and DR5 by activated p53 may be inducer- and cell-type-specific or that they show delayed kinetics compared with Fas/CD95. Fas/CD95 activates caspases 8 and 10, which cleave Bid to truncated Bid, which in turn translocates onto mitochondria and leads to release of mitochondrial proapoptotic proteins and apoptosis (44)
.
Our data reveal that the IAP family proteins XIAP, cIAP-1, and survivin were down-regulated by functional p53 in TK6 cells, confirming and extending our earlier findings regarding the effects of NO· treatment on XIAP expression (24)
and suggesting that these IAP family members are important intermediaries in the p53-dependent apoptotic response in these cells. NO· delivered from donor drugs has been shown to down-regulate levels of XIAP and cIAP-1 in lipopolysaccharide/IFN-
-stimulated RAW 264.7 macrophages expressing wild-type p53 (45)
. The relevance of these findings is underscored by observations that both overexpression of IAP proteins and p53 mutations are associated with progressive development of many cancers (29
, 32
, 46)
and that down-regulation of XIAP induces apoptosis in chemoresistant human ovarian cancer cells (47)
. We found no evidence for NO·-mediated transcriptional regulation of IAP genes in TK6 cells through either cDNA microarray or real-time PCR studies (data not shown). However, the serine protease PRSS25 (HTRA2) was transcriptionally up-regulated in TK6 cells, albeit with a low statistical significance (data not shown). This was also the case for other p53 target genes, such as GADD45 (Table 1)
and APAF-1 (data not shown). The HTRA2 protein interacts with and cleaves various IAP proteins, relieving caspase inhibition and activating apoptosis (21
, 48)
. Thus, the modulation of IAP proteins by p53 may occur through different pathways in specific systems. Further research will be required to evaluate these and other possible mechanisms.
NO· treatment induced cytochrome c (24) and Smac release from mitochondria into cytosol in both TK6 and WTK-1 cells, but loss of the mitochondrial AIF and endonuclease G proteins was observed only in TK6 cells. These data indicate that complex mechanisms control release of mitochondrial proapoptotic factors but suggest that expression and/or release of AIF and endonuclease G proteins may be modulated by p53. p53 modulation may be mediated through regulation of Bcl-2, which has been shown to prevent mitochondrialnuclear redistribution of AIF (26 , 49) . APAF-1 has been identified as a p53 response gene (19 , 20) and may thus contribute to the difference in apoptotic responses observed in TK6 and WTK1 cells. Cytochrome c, APAF-1, and caspase 9 interact to form the apoptosome, leading to the proteolytic activation of caspase-9 and subsequent activation of the executioner caspase cascade. Consistently, the present data revealed that pro-caspase 9 protein levels were reduced in TK6 cells but not in WTK1 cells after NO· treatment, possibly due to failure of p53-dependent up-regulation of APAF-1 (24) .
Bcl-2 family proteins are essential regulators of apoptosis in various in vivo and in vitro experimental models (50
, 51)
. Our data show that NO· treatment resulted in reduction of Bcl-2 and Bcl-x/L proteins in TK6 but not in WTK1 cells, supporting the notion that mitochondrial function in apoptosis in these cells may be modulated by p53 through regulation of Bcl-2 family genes, which in turn control mitochondrial transition pores and release of mitochondrial proapoptotic factors. We consistently observed a higher release of mitochondrial cytochrome c (24)
, AIF, and endonuclease G (Fig. 4)
in TK6 cells than in WTK1 cells. Further work will be required to determine whether mitochondrial dysfunction and apoptosis induced by NO· involve translocation of Bax and Bak proteins from cytosol to mitochondria in these cells.
p53-independent events such as NOXA expression and cytochrome c and Smac release may be involved in apoptotic processes through a complex network of p53-dependent and -independent transcriptional regulation and protein interactions. Mitochondria and downstream cascades modulated by Bcl-2 and IAP families are possible intersections of p53-dependent and -independent apoptosis. Consistent with another report (34) , in an earlier related study, we found that the apoptotic response was reduced and delayed in WTK-1 cells compared with TK6 cells treated with NO· (24) . This may in part be due to the direct involvement of p53 as a transcription factor as well as a "damage sensor" in the regulation of cell proliferation and death. In addition, the mutant p53 of WTK-1 cells may also exhibit so-called "gain of function" effects in apoptosis (52) .
Taking into account presently accepted models of apoptosis, the present findings, along with our previous work (24)
, suggest that several signaling pathways leading to apoptosis are activated by NO· in TK6 cells, as summarized in Fig. 6
. NO·-induced DNA damage is followed by activation of p53, which in turn up-regulates mitochondrial permeability proteins such as PUMA and NOXA and down-regulates expression of Bcl-2 and Bcl-x/L proteins, leading to mitochondrial depolarization and release of the mitochondrial proapoptotic proteins cytochrome c, Smac, AIF, and endonuclease G. The impact of p53 activation is enhanced by concurrent down-regulation of MDM2. Cytochrome c binds to p53-regulated APAF-1, leading to recruitment and activation of initiator pro-caspase 9 to form the apoptosome, ultimately leading to activation of effector caspase 3, PARP cleavage, and apoptosis. Activated p53 also directly up-regulates expression of Fas/CD95, but not DR4 or -5, which subsequently activates caspases 8 and 10, followed by Bid cleavage and translocation onto mitochondria, further enhancing mitochondrial dysfunction. AIF and endonuclease G translocate from mitochondria into nuclei, resulting in caspase-independent apoptosis. p53 may further promote apoptosis through indirect down-regulation of the IAP proteins, which inhibit distinct caspases via HTRA2 and together with Smac eliminate IAP inhibition. Additionally, NO· may also damage mitochondria directly, although it is not possible to assess the effect of mitochondrial damage to the apoptotic phenotype in our current study. Despite the DNA damage, transcriptional activation of early genes, and release of apoptogenic factors caused by NO· treatment of WTK1 cells harboring mutant p53, no significant caspase 3 activation and PARP cleavage occurred in these cells. Thus, absence of functional p53 in WTK-1 cells is the most salient feature associated with the apoptotic response in this model.
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Note: C-Q. Li and A. Robles contributed equally to this work. Supplementary data for this article can be found at Cancer Research Online (http://cancerres.aacrjournals.org).
Requests for reprints: Gerald Wogan, Massachusetts Institute of Technology, Biological Engineering Division and Department of Chemistry, Room 26-009, 77 Massachusetts Avenue, Cambridge, MA 02139-4307. Phone: (617) 253-3188; Fax: (617) 258-9733; E-mail: wogan{at}mit.edu
3 Downloaded from http://www.scioncorp.com. ![]()
4 The original data will be available on the National Center for Biotechnology Information Gene Expression Omnibus public database (http://www.ncbi.nlm.nih.gov/geo) as GSE1064. ![]()
5 http://linus.nci.nih.gov/BRB-ArrayTools.html. ![]()
Received 6/25/03. Revised 1/14/04. Accepted 3/ 2/04.
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