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Molecular and Cellular Biology, October 2008, p. 6066-6077, Vol. 28, No. 19
0270-7306/08/$08.00+0 doi:10.1128/MCB.00246-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
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Department of Oncology,1 London Regional Cancer Program and The Lawson Health Research Institute, Department of Biochemistry,2 Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario, Canada3
Received 13 February 2008/ Returned for modification 12 March 2008/ Accepted 4 July 2008
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Insights into the oncogenic role of ZNF217 have come primarily from studies using human epithelial cells with a finite life span. Forced expression of ZNF217 by retroviral gene transfer in human mammary epithelial cells promotes loss of senescence, immortalization, and resistance to growth inhibition by transforming growth factor β (TGF-β) (38). In addition, prolonged growth of ZNF217-immortalized cells results in chromosomal instability, as well as telomere crisis and telomerase reactivation (9). More recently, transduction of finite life span ovarian cells with a ZNF217 retrovirus has also been shown to promote cellular immortalization, increased cellular proliferation, and telomerase activity, as well as anchorage-independent cell growth (32a). ZNF217 overexpression was also shown to suppress spontaneous and doxorubicin-induced apoptosis, suggesting that ZNF217 may promote oncogenic transformation by increasing cell survival (27).
The ZNF217 protein contains eight Kruppel-like zinc fingers, suggesting that it most likely functions as a transcription factor. Molecular mapping studies using a transcription-based reporter assay and various regions of ZNF217 fused to the GAL4 DNA binding domain have identified two repression domains located within the carboxy terminus (12, 40). Biochemical purification studies in combination with mass spectrometry have identified ZNF217 as a constituent of several related transcriptional repressor complexes (12, 23, 32, 43, 44, 53). Comparative analysis of each of the purified complexes suggests that the ZNF217 complex is very similar to the CoREST complex previously implicated in neuronal differentiation (53) and consists of three core proteins: histone deacetylase 2, lysine demethylase 1 (LSD1), and the corepressor of REST (CoREST). In addition, the carboxy terminus of ZNF217 interacts directly with the C-terminal binding protein 1/2 (CtBP1/2) corepressor, and this interaction is, in part, essential for the repressor function of ZNF217 (12, 40).
CASTing (cyclic amplification and selection of targets) analysis, using degenerate oligonucleotides and the region of ZNF217 encompassing the sixth and seventh zinc fingers, has identified a core recognition sequence consisting of CAGAAY (where Y is A, G, or T) (12). This sequence has been identified within the E-cadherin promoter, and chromatin immunoprecipitation (ChIP) assays have shown that the ZNF217 complex is present on the E-cadherin promoter in breast cancer cells (12). More recently, a bioinformatics approach in conjunction with ChIP analysis was used to identify a consensus ZNF217 binding site (ATTCNAC) in ZNF217 target genes. Interestingly, 65% of the genes identified in the ChIP screen also contained the CAGAAY motif, suggesting that ZNF217 may use multiple zinc fingers to bind specific target genes (29).
In the present study, we have used a two-step approach to identify ZNF217 targets. First, we employed small intefering RNA (siRNA)-mediated gene silencing of ZNF217 coupled with microarray screening to identify genes with altered expression. Secondly, we used chromatin immunoprecipitation with directed selection and ligation (ChIP-DSL) to identify promoters directly bound by ZNF217. By comparative analysis of genes identified using both approaches, we have identified a subset of genes directly regulated by the ZNF217 complex. Our analysis has focused on the p15ink4b tumor suppressor gene as a critical ZNF217 target. ChIP analysis in both MCF-7 and HaCaT cells confirmed that the ZNF217 complex occupies a region of the p15ink4b promoter that is critically important for transcriptional activation. Stimulation of HaCaT cells with TGF-β resulted in a rapid release of ZNF217 and a concomitant recruitment of SMAD2 protein to the p15ink4b gene promoter, which preceded increases in protein expression. Importantly, ZNF217 downregulation and TGF-β stimulation have similar affects on the chromatin modifications surrounding the p15ink4b promoter, suggesting that ZNF217 and TGF-β are functioning through convergent mechanisms. Our results suggest that a coactivator/corepressor balance may constitute an important parameter regulating p15ink4b expression and establish a possible link between overexpression of ZNF217 and the loss of TGF-β stimulation at selected targets.
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RNA isolation and real-time PCR. Total cellular RNA was isolated using an RNA EZ kit (Qiagen). The quality and quantity of RNA were evaluated by measuring the optical density at 260/280. In addition, RNA quality was evaluated by agarose gel electrophoresis. For real-time PCR analysis, 0.2 µg of RNA was reverse transcribed with TaqMan reverse transcriptase (Applied Biosystems) using random hexamers to generate cDNA. All amplicons were detected using the 5' nuclease (Taqman) assay with 5'-6-carboxytetramethylrhodamine-labeled probes. Probes were already predesigned and quality tested (Applied Biosystems). Reactions were performed according to the manufacturer's recommendations (Applied Biosystems) and were run in replicates of two, in a 96-well format. Each reaction mixture included 18S RNA as a control for normalization, and reaction mixtures lacking cDNA served as negative controls. Two independent experiments were performed for each gene, and a mean value was obtained and compared to the mean expression level of each gene from cells transfected with control siRNA. Applied Biosystems 7500 real-time PCR system software was used to identify the cycle threshold (Ct) for each reaction.
RNA microarray analysis. Total RNA was extracted from MCF-7 cells transfected with ZNF217 siRNA or mock infected. Independent biological triplicates were performed for each siRNA and, including control transfections, brought the number of independent transfection experiments to nine. cDNA was prepared from control and each siRNA-transfected sample, labeled, and hybridized to an HgU133A+2 human Affymetrix DNA microarray, and a list of genes was then created for all nine experiments. The hybridization, washing, scanning, and analysis of gene chips were performed at the University of Western Ontario Genomic Centre (London, Ontario, Canada).
The average intensities of siRNA knockdowns (RNAi1 and -2) were compared to the control nontreated sample. Three biological replicates were done for each array, the data were transformed using Robust Multi-Array normalization (5), and values below 0.01 were set to 0.01. Each measurement was normalized by dividing all measurements in that sample by the 50th percentile. Ratios were then calculated for all nine samples against the median of the control samples (1, 4, and 9). A Student t test statistical analysis was conducted, and false positives were reduced using the Benjamini and Hochberg false discovery rate.
Western blot analysis.
Cells were washed twice in phosphate-buffered saline (PBS), harvested, and lysed in lysis buffer (
300 µl/10-cm plate) consisting of 20 mM Tris (pH 7.9), 300 mM KCl, 0.1% NP-40, 10% glycerol, 0.1 mM dithiothreitol, 0.5 mM EDTA, 0.5 mM EGTA, and protease inhibitor cocktail. For experiments involving detection of p15ink4b, radioimmunoprecipitation assay buffer was used to prepare the cell extracts and consisted of 50 mM Tris (pH 8.0), 150 mM NaCl, and 1% NP-40. Extracts were centrifuged for 10 min at 16,000 x g at 4°C, and the soluble extracts were retained. Samples were normalized for protein content and were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), transferred to nitrocellulose or a polyvinylidene difluoride membrane, and blocked overnight in PBS containing 0.1% Tween 20 and 5% nonfat dried milk. The appropriate antibodies were then diluted in blocking buffer, and the membrane was probed for 2 h at room temperature with rocking followed by the appropriate secondary antibody for 1 h. Proteins were detected using enhanced chemiluminescence according to the manufacturer's recommendations (Amersham).
Purification of the ZNF217 complex. ZNF217 was purified from MCF-7 cells essentially as previously described (13). Approximately 20 mg of nuclear extract was loaded onto a 10-ml phosphocellulose P11 column. The column was then washed using buffer A (20 mM Tris [pH 7.9], 0.5 mM EDTA, 10% glycerol, 0.5 mM dithiothreitol, and 100 mM KCl), and ZNF217 was eluted with buffer A containing 0.3 M KCl. The ZNF217-containing fraction was assayed by Western blotting and then loaded and reloaded five times onto an anti-ZNF217 immunoaffinity column that was generated by cross-linking affinity-purified ZNF217 antibody to protein A-Sepharose according to standard procedures (24). The column was then washed with buffer A containing 0.3 M KCl and 0.1% NP-40. Bound proteins were eluted with 100 mM glycine (pH 2.8) containing 100 mM KCl and analyzed for various proteins by Western blotting.
Chromatin immunoprecipitation assay. MCF-7 cells were cross-linked with 1% formaldehyde at room temperature for 10 min. Cross-linking was quenched by immediately washing cells twice with ice-cold PBS. Cells were washed twice with ice-cold PBS containing 0.5 mM EDTA and harvested. Cell pellets were lysed in 0.3 ml of cell lysis buffer (50 mM Tris-HCl [pH 8.1], 10 mM EDTA, 1% SDS, and protease inhibitors) and incubated on ice for 10 min. Cell lysates were sonicated to yield DNA fragments ranging in size from 300 to 1,000 bp. Approximately 450 µg of the cross-linked, sheared chromatin solution was used for immunoprecipitation. A small portion of each IP mixture was saved as input DNA (5%). Supernatants were diluted 10-fold in dilution buffer (20 mM Tris-HCl [pH 8.1], 1% Triton X-100, 2 mM EDTA, 150 mM NaCl, and protease inhibitors) and precleared with 60 µl of a 50% slurry of protein A-Sepharose containing 2.5 µg of sheared salmon sperm DNA for 2 h at 4°C. Immunoprecipitation was performed overnight at 4°C with 1.5 to 4 µg of the antibodies. A 60-µl volume of protein A-Sepharose containing 2.5 µg of salmon sperm DNA per ml was added to the solution and incubated for 1 h at 4°C. The beads were washed one time with wash buffer I (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris-HCl, 150 mM NaCl), wash buffer II (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris-HCl, 500 mM NaCl), wash buffer III (0.25 M LiCl, 1% NP-40, 1% Na-deoxycholate, 1 mM EDTA, 10 mM Tris-HCl), and twice with Tris-EDTA buffer. Immunocomplexes were extracted twice with 200 µl elution buffer (1% SDS-0.1 M NaHCO3). NaCl was added to a final concentration of 200 mM, and the cross-linking was reversed by heating at 65°C overnight. The DNA was purified using Qiagen PCR purification spin columns. For analysis by conventional PCR, conditions were as follows: an initial denaturing cycle at 94°C for 3 min, followed by 35 cycles of 94°C for 30 s, 52°C for 30 s, and 72°C for 1 min, and a final elongation step of 72°C for 10 min. For experiments involving TGF-β treatment, HaCaT cells were plated to approximately 90% confluence and treated with 150 pM TGF-β for 90 min prior to ChIP analysis.
For some experiments, DNA isolated from ChIP experiments was subjected to quantitation by real-time PCR using Brilliant Sybr green master mix (600548; Stratagene). Primers were identified using the Primer Express program (Stratagene) and tested to establish optimum reaction conditions. Reactions were performed in a 25-µl volume according to the manufacturer's recommendations. The reaction was carried out and measured using an Mx3000P real-time instrument. Standard curves were generated using total input DNA (copy number range, 8 x 105 to 8 x 101). The IP and immunoglobulin G (IgG)-based DNA copy numbers were calculated by extrapolating the respective Ct values from the standard curve. The nonimmune IgG copy number was subtracted from IP DNA copy number. The resulting IP copy number was normalized against the total input DNA by dividing the IP value by the input and expressing the IP value as a percentage of the input DNA. All measurements were done in duplicate, and an average Ct value was used to calculate copy number. Two independent real-time reactions were done for each experiment.
ChIP-DSL assay. ChIP-DSL was used to assess global promoter occupancy by ZNF217. MCF-7 cells were cross-linked with formaldehyde and subjected to a standard ChIP assay using affinity-purified anti-ZNF217 antibody. The procedures for oligonucleotide annealing, solid-phase selection ligation, and PCR amplification were performed exactly as described by the manufacturer (H20K, catalog number AK-0504; Aviva Systems Biology). The antibody-enriched DNA and the total input were biotinylated followed by annealing to the 40-mer oligonucleotide pool. The DNA-oligonucleotide complexes were then selected by binding to streptavidin-conjugated magnetic beads, while the nonannealed oligonucleotides were washed away. Correctly paired 40-mers were then ligated to form the corresponding 80-mer, which was flanked by both universal primer annealing sites (T3 and T7), giving rise to a complete amplicon. PCR was then conducted on the amplicons using fluorescently labeled T7 and regular T3 primers. Total input DNA was PCR amplified using Cy5 (green)-labeled T7 primer, and the IP sample was amplified using Cy3 (red)-labeled T7 primer. The PCR products were cohybridized to the 40-mer array (Hu20K) to derive an enrichment ratio for each target. After hybridization and washing, array slides were scanned on a One Virtek (Bio-Rad) chip reader, and the ArrayVision (v6.0) software package (Genomic Centre, London, Ontario, Canada) was used to quantify fluorescence intensity. The ChIP-on-chip intensity values were normalized using a Lowess curve, which was fit to the log intensity versus log ratio plot, and 20% of the data were used to calculate the Lowess fit at each point. Following normalization, a two-sided Student's t test was conducted with the standard deviation of the replicates used to calculate a P value. The fold change was calculated for each gene using a mean value that was calculated from all three biological replicates.
Ingenuity Pathways Systems analysis. Ingenuity Pathways Systems (http://www.ingenuity.com) analysis was employed to group statistically significant genes. Genes that had at least a single enrichment were imported into the Ingenuity systems. Only 1,215 genes were found in the system database, and only those genes were used for further analysis. The significance value associated with a function was expressed as a P value, which was calculated using the right-tailed Fisher exact test. This was done by comparing the number of genes from the gene expression profile that participated in a given function, relative to the total number of occurrences of those genes in all functional annotations stored in the Ingenuity Pathways database.
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FIG. 1. Purification of the ZNF217 complex from MCF-7 nuclear extracts. (A) Purification scheme used to purify the ZNF217 complex from MCF-7 cell nuclear extracts. ZNF217 was partially purified by passing MCF-7 cell nuclear extracts through a P11 phosphocellulose column prior to immunoaffinity chromatography using ZNF217 antibody. (B) Silver stained SDS-PAGE gel of the purified proteins. A 15-µl aliquot of the purified ZNF217 complex was analyzed by SDS-PAGE followed by silver staining. IgG represents affinity purification using a rabbit IgG nonimmune affinity column. (C) Western blotting of various proteins found in the ZNF217 complex. A 15-µl aliquot of the purified ZNF217 complex was analyzed by SDS-PAGE followed by Western blotting using various antibodies as indicated on the left of the figure.
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FIG. 2. Genome-wide expression screen to identify changes in gene expression associated with ZNF217 depletion. (A) Western blot of ZNF217-depleted MCF-7 cells. MCF-7 cells were transfected with siRNA recognizing two different regions of ZNF217 (siRNA1 and siRNA2). Cells were incubated for 72 h prior to analysis of whole-cell extracts by Western blotting using ZNF217 antibody. (B) Venn diagrams depicting the overlap in genes upregulated or downregulated from cells transfected with either siRNA1 or siRNA2. (C) Real-time PCR analysis of selected genes identified as significantly upregulated following ZNF217 or LSD1 knockdown using siRNA. Each bar represents the mean relative expression compared to the expression in cells transfected with control siRNA. (D) Western blot of selected genes significantly upregulated following ZNF217 or LSD1 gene knockdown using siRNA. MCF-7 cells were transfected with siRNA targeting either ZNF217 or LSD1. After 72 h, whole-cell extracts were prepared and proteins were analyzed by SDS-PAGE followed by Western blotting using the antibodies indicated on the left of each panel.
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FIG. 3. ChIP-DSL analysis of ZNF217 target genes in MCF-7 cells. (A) Scatter plot of specific ChIP (y axis) versus total (x axis) averaged values from three independent biological replicates, demonstrating a normal cluster distribution. Data in red indicate genes significantly enriched. (B) Venn diagram depicting the overlap in genes enriched from three independent ChIP-DSL experiments (Rep 1 to 3). A onefold change and a P value of <0.05 (calculated using Student's t test) yielded 1,431 genes common to all three replicates. (C) Ingenuity functional analysis revealed the majority of genes whose promoter regions are bound by ZNF217 to be involved in various diseases. Genes were scored with a significance value which was a log P value calculated using the Fisher exact test measuring the uniqueness of a gene within a function. (D) Targets corresponding to molecular function were also categorized, revealing approximately 25% of ZNF217 target genes are transcription factors.
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TABLE 1. Genes directly regulated by ZNF217a
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FIG. 4. ChIP analysis of selected ZNF217 targets. (A) Direct ZNF217 targets which were found significantly upregulated following ZNF217 depletion. Proliferating MCF-7 cells were cross-linked with 1% formaldehyde, and ChIP was performed with either control IgG or anti-ZNF217 antibody. The recovered DNA was then assayed by PCR using oligonucleotide primers corresponding to the promoter region of specific genes identified in the ChIP-DSL analysis. (B) Direct ZNF217 targets which were found to be significantly downregulated in ZNF217-depleted MCF-7 cells.
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As shown in Fig. 5, downregulation of ZNF217, or LSD1, using siRNA resulted in significant increases in p15ink4b levels. To confirm binding of ZNF217 to the INK4b promoter and more accurately define its binding site, we performed ChIP analysis in MCF-7 cells using pairs of oligonucleotides encompassing approximately 150-bp intervals (Fig. 6A). The promoter arrays used in the ChIP-DSL screen consisted of unique 80-mer sequences located within 1 kb upstream from the transcription start site for each gene; therefore, we restricted our analysis to this region of the p15ink4b promoter. Chip analysis indicated that ZNF217 is highly enriched within a region of the promoter encompassing nucleotides (nt) –566 to –426 (Fig. 6B). In addition, both LSD1 and CoREST were also found predominantly within this region, confirming that the p15ink4b gene is a target for the ZNF217 complex.
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FIG. 5. The p15ink4b gene is regulated by the ZNF217 complex. (A) Western blot of p15ink4b protein following ZNF217 knockdown in MCF-7 cells. MCF-7 cells were transfected with siRNA recognizing ZNF217 (siRNA1). Cells were incubated for 72 h prior to analysis of cell extracts by Western blotting using ZNF217 or p15ink4b antibody. (B) Real-time PCR analysis of the p15ink4b gene following knockdown of ZNF217 or LSD1 using siRNA. MCF-7 cells were transfected with siRNA recognizing ZNF217 (siRNA1) or LSD1. RNA was then prepared and reverse transcribed, and real-time analysis was performed. Each bar represents the mean comparative expression relative to cells transfected with control siRNA of two independent experiments.
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FIG. 6. The p15ink4b promoter is a direct target of the ZNF217 complex. (A) Schematic representation of the human p15ink4b promoter showing the nucleotide sequence encompassing the SMAD binding element (SBE1) and the FoXO3 binding element (FoXO). The underlined sequences represent consensus ZNF217 binding sites identified in reference 29 (double underline) and reference 12 (single underline). (B) ChIP analysis of the p15ink4b promoter. MCF-7 cells were cross-linked with 1% formaldehyde, and ChIP was performed with either control antibody (IgG) or the specific antibody (IP) indicated on the left. The recovered DNA was then assayed by PCR using pairs of oligonucleotides encompassing specific regions of the p15ink4b promoter (primer set 1, 3, or 4). (C) ZNF217-dependent changes in histone marks across the p15ink4b promoter. MCF-7 cells were transfected with siRNA recognizing ZNF217 (siRNA1). After 72 h, cells were cross-linked with 1% formaldehyde and ChIP was performed with either control antibody (IgG) or the histone modification-specific antibodies indicated at the bottom of the figure. The recovered DNA was then assayed by real-time PCR using pairs of oligonucleotides encompassing specific regions of the p15ink4b promoter as indicated in panel A (primer sets 1 to 4).
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Previous studies have shown that TGF-β stimulates rapid binding of SMAD, Fox0, and CEBPβ to the p15ink4b promoter, resulting in transcriptional activation of the p15ink4b gene (21, 22). Interestingly, the ZNF217 binding region of the p15ink4b promoter encompasses a SMAD binding site flanked by a forkhead binding element at nt –504 to –538. Based on the proximity of the ZNF217 binding region to the SMAD binding site, we speculated that binding of ZNF217 and SMADs may be mutually exclusive and that coregulator exchange, in response to TGF-β, is a prerequisite for transcriptional activation of the p15ink4b gene. However, in preliminary experiments upregulation of the p15ink4b gene in response to TGF-β was not observed in MCF-7 cells (data not shown). Therefore, to examine dynamic changes in ZNF217 complex assembly at the ink4b gene promoter, we used the HaCaT keratinocyte cell line, a well-established model for TGF-β-responsive events. For these experiments, HaCaT cells were stimulated with TGF-β and promoter occupancy was assessed by ChIP assay using specific antibodies recognizing either ZNF217 or SMAD2. As shown in Fig. 7A, p15ink4b protein levels were strongly upregulated upon TGF-β stimulation. Importantly, ChIP analysis indicated that stimulation with TGF-β for 90 min resulted in a rapid loss of ZNF217 and a concomitant increase in SMAD2 binding from the same region of the p15ink4b promoter (Fig. 7B).
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FIG. 7. TGF-β-inducible release of ZNF217 from the p15ink4b promoter. (A) Western blot of cells following stimulation with TGF-β. HaCaT cells were stimulated with TGF-β. After various intervals following stimulation, cell extracts were prepared and Western blotting was performed using antibodies against p15ink4b or tubulin. Lane 1 (-) shows results for cells receiving no TGF-β that were grown for 48 h prior to lysis. (B) ChIP analysis of TGF-β-stimulated HaCaT cells. HaCaT cells were stimulated with TGF-β for 90 min. Cells were then cross-linked with 1% formaldehyde, and ChIP was performed with either control antibody (IgG), SMAD2, or ZNF217 antibodies. The recovered DNA was then assayed by standard PCR (right panel) or by real-time PCR using pairs of oligonucleotides encompassing the ZNF217 binding region of the p15ink4b promoter (primer set 3). (C) TGF-β-dependent changes in histone marks. HaCaT cells were stimulated with TGF-β for 90 min. Cells were then cross-linked with 1% formaldehyde, and ChIP was performed with either control antibody (IgG) or the modification-specific antibodies indicated at the bottom of the figure. The recovered DNA was then assayed by real-time PCR using pairs of oligonucleotides encompassing specific regions of the p15ink4b promoter as indicated (primer sets 1 to 4).
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Using ChIP-DSL we were able to identify over 1,400 gene promoters bound by the ZNF217 transcription factor in a native chromatin context. Furthermore, in conjunction with siRNA knockdown and microarray analysis, we established that 54 genes are directly regulated by ZNF217. Thus, for the vast majority of the target genes identified, changes in gene expression were not correlated with ZNF217 promoter occupancy in MCF-7 cells. This was not entirely unexpected, as gene expression is dictated by the repertoire of transcription factors and coregulators that transiently occupy target promoters, and not by a single factor.
While the manuscript was in preparation, a genome-wide ChIP-chip analysis identified approximately 1,045 genes, bound by ZNF217, in MCF-7 and Ntera2 cell lines, with approximately 745 genes common to both cell types (30). However, only 54 of the target genes identified were found to be directly regulated by ZNF217. A comparison of target genes identified in our study and those from the study of Krig et al. indicated 7% overlap (73 genes), and of the 54 genes directly regulated by ZNF217, only 4 were found in our ChIP-DSL analysis. These differences are most likely attributable to variations in experimental design, the specific antibodies used which may recognize different epitopes, and more importantly, differences in the microarray platforms used. Unlike the more conventional ChIP-chip approach, which uses ligation-mediated PCR to amplify the immunoprecipitated DNA, in ChIP-DSL the DNA is not directly amplified but is used only as a template for annealing of complementary oligonucleotides corresponding to specific promoter regions. Consequently, this greatly reduces the complexity of the hybridization mixture and may avoid certain biases inherent in the ligation-mediated PCR strategy. However, CHIP-DSL can only identify targets found within 1 kb of the transcription start site. Thus, ZNF217-dependent regulatory sites located many kilobases upstream would not be detectable by ChIP-DSL.
Surprisingly, 45 of the 54 target genes we identified are downregulated upon ZNF217 knockdown, suggesting that ZNF217 may also function in transcriptional activation. This finding is consistent with recent ChIP-on-chip studies of other transcriptional repressor proteins. For example, using ChIP-DSL, recent studies have demonstrated that LSD1 is recruited to target genes which are transcriptionally active as well as repressed (18, 30). LSD1 has been shown to function in both transcriptional repression by demethylating H3-K4 and in activation of specific genes by removing the dimethyl mark from H3-K9 rather than H3-K4. Although the underlying mechanism for defining LSD1 specificity is unclear, in vitro studies have suggested that LSD1 activity is allosterically regulated through interaction with other proteins, such as CoREST, BHC80, and the ligand-bound androgen receptor (32, 37). In addition, surrounding histone marks found at specific promoters may also play a role in substrate recognition by LSD1 (16, 17). Thus, the substrate specificity of LSD1 may be an important determinant for defining the transcriptional activity of ZNF217 at selected targets.
To obtain insight into the mechanism of repression of ZNF217, we focused our analysis on the p15ink4b gene. The p15ink4b gene is found within a 35-kb stretch of DNA, the INK4 locus, which also contains p16ink4A and p14ARF, a splice variant of p16ink4A. The entire locus has been found frequently to be deleted or mutated in many types of cancer (19, 45). Interestingly, we did not detect changes in expression levels of either p16ink4A or p14ARF, based on the microarray expression analysis, indicating that the repressive effects of the ZNF217 complex are specific for p15ink4b.
In many epithelial cell lines, p15ink4b is rapidly upregulated in response to TGF-β and, under normal growth conditions, contributes to the TGF-β-dependent cytostatic program. Previous studies using HaCaT cells have shown that the induction of p15ink4b occurs predominantly at the level of transcription through a dual mechanism involving downregulation of c-myc and the recruitment of activating transcription factors to the promoter region (20, 42, 46). myc acts as a negative regulator of the p15ink4b gene by preventing the transcription factor Miz1 from activating p15ink4b transcription (42, 46). The addition of TGF-β suppresses myc expression, depleting the cellular pools of myc available for binding to Miz1 which, in turn, relieves active repression of the p15ink4b gene. Concurrently, SMAD proteins, as well as other transcription factors, bind to specific DNA elements in the promoter region and, in association with Miz1, elicit full activation of the p15ink4b gene (14, 15).
The identification of the ZNF217 complex as a negative regulator of the p15ink4b gene in breast cancer cells adds an additional layer of complexity in our understanding of the molecular events regulating p15ink4b gene transcription (Fig. 8). In MCF-7 cells the levels of p15ink4b are virtually undetectable, and downregulation of ZNF217 using siRNA resulted in a dramatic increase in p15ink4b protein levels, indicating that loss of ZNF217 alone was sufficient to relieve repression of the p15ink4b gene in this cell type. ChIP analysis indicated that ZNF217 binds a region of the promoter that has previously been shown to encompass a SMAD binding element flanked by a FoxO site (21, 22). Recent studies have shown that upregulation of p15ink4b, in response to TGF-β, is dependent on rapid binding of both SMAD proteins and FoxO3 to their respective sites. Interestingly, a CAGAAA sequence and an ATTCAA motif directly overlap the SMAD and FoXO3 binding sites, respectively. Both of these elements have been identified as putative consensus ZNF217 binding sites in independent studies (12, 29). Based on these observations, we speculated that TGF-β-dependent activation of the p15ink4b gene is dependent on release of ZNF217. This was indeed confirmed in HaCaT cells, in which treatment with TGF-β resulted in a rapid loss in ZNF217 and a concomitant increase in SMAD2 binding at nt –566 to –426, which preceded increases in p15ink4b protein expression. Collectively, these findings establish the ZNF217 complex as a novel suppressor of the p15ink4b gene (Fig. 8).
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FIG. 8. Model highlighting the role of the ZNF217 complex in p15ink4b expression. In normal proliferating epithelial cells, the ZNF217 complex is bound to the p15ink4b promoter, and expression of p15ink4b is repressed. Stimulation with TGF-β causes a release of the ZNF217 complex and a concomitant binding of activating transcription factors, which include SMADs (SM2/3 and SM4), CEBPβ, FoXO3, and SP1. Additionally, associations between adjacent transcription factors, as well as downregulation of Myc following TGF-β stimulation, may result in full activation of the p15ink4b gene.
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Similar changes in chromatin marks were also observed in HaCaT cells following stimulation with TGF-β. Importantly, the changes we have observed coincide with the release of ZNF217, indicating that loss of ZNF217 and stimulation with TGF-β are most likely part of a concerted signaling mechanism regulating the p15ink4b gene. The differences in the magnitude of the changes in covalent modifications between MCF-7 and HaCaT cells may be attributable to differences in cell types as well as experimental conditions. Covalent modifications related to a specific transcriptional outcome often involve repetitive cycles of association and dissociation of transcription factors and a large number of coregulator proteins in a sequential manner (36). Consequently, 90 min after TGF-β stimulation may not be optimal for the establishment of specific changes in chromatin structure, even though increases in SMAD2 binding and loss of ZNF217 are clearly evident by this time point. Nevertheless, the changes in chromatin marks, following loss of ZNF217, or stimulation of cells with TGF-β are quite striking and suggest that the region from nt –340 to –204 is dynamically regulated and most likely plays a critical role in determining expression of the p15ink4b gene.
Many tumors and cancer cell lines develop resistance to the growth-inhibitory effects of TGF-β, which in some cases result from loss-of-function mutations in TGF-β receptors or SMAD proteins (39). However, the majority of tumors which have lost TGF-β-dependent functional responses retain an intact TGF-β signaling mechanism, suggesting that specific downstream defects may be involved. This may include overexpression of specific proteins resulting in a deregulated transcriptional response at TGF-β-dependent target genes. The c-ski oncoprotein, which is overexpressed in a subset of leukemic patients, negatively regulates TGF-β signaling by interfering with the formation of SMAD complexes at target genes, resulting in abnormal silencing of transcription (25, 33, 34). More recently, it has been shown that excess levels of the C/EBPβ isoform liver-enriched transcriptional inhibitor protein (LIP) may, in part, account for the loss of TGF-β responsiveness (22). C/EBPβ consists of multiple isoforms, liver-enriched transcriptional activator protein 1 and 2 (LAP1/2) and LIP, which lacks regulatory domains found in LAP and functions as a dominant negative for C/EBPβ-dependent transcription. LAP binds directly to the p15ink4b promoter and is required for induction of the p15ink4b gene in response to TGF-β. A high LIP/LAP ratio has been reported in some metastatic breast cancers, and lowering of the LIP/LAP ratio by overexpression of LAP restores both TGF-β-dependent induction of p15ink4b and the growth-inhibitory response to TGF-β. Finally, it has been shown that human mammary epithelial cells aberrantly expressing ZNF217 become immortalized and develop resistance to the growth-inhibitory properties of TGF-β (38).
The identification of the p15ink4b gene as a direct target for the ZNF217 corepressor complex represents a potentially novel link between amplification of ZNF217 and the loss of TGF-β responsiveness in breast cancer. The proximity of the ZNF217 binding region to the SMAD binding region is consistent with this hypothesis and suggests that the balance between coactivators and corepressor proteins at the level of gene transcription represents a critical regulatory mechanism and an important determinant of cell growth.
This work is supported by operating grants from the Cancer Research Society of Canada and by the Canadian Institutes of Health Research.
Published ahead of print on 14 July 2008. ![]()
Supplemental material for this article may be found at http://mcb.asm.org/. ![]()
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