The chromosome 9p21 (Chr9p21) locus of coronary artery disease has been identified in the first surge of genome-wide association and is the strongest genetic factor of atherosclerosis known today. Chr9p21 encodes the long non-coding RNA (ncRNA) antisense non-coding RNA in the INK4 locus (ANRIL). ANRIL expression is associated with the Chr9p21 genotype and correlated with atherosclerosis severity. Here, we report on the molecular mechanisms through which ANRIL regulates target-genes in trans, leading to increased cell proliferation, increased cell adhesion and decreased apoptosis, which are all essential mechanisms of atherogenesis. Importantly, trans-regulation was dependent on Alu motifs, which marked the promoters of ANRIL target genes and were mirrored in ANRIL RNA transcripts. ANRIL bound Polycomb group proteins that were highly enriched in the proximity of Alu motifs across the genome and were recruited to promoters of target genes upon ANRIL over-expression. The functional relevance of Alu motifs in ANRIL was confirmed by deletion and mutagenesis, reversing trans-regulation and atherogenic cell functions. ANRIL-regulated networks were confirmed in 2280 individuals with and without coronary artery disease and functionally validated in primary cells from patients carrying the Chr9p21 risk allele. Our study provides a molecular mechanism for pro-atherogenic effects of ANRIL at Chr9p21 and suggests a novel role for Alu elements in epigenetic gene regulation by long ncRNAs.
Chromosome 9p21 is the strongest genetic factor for coronary artery disease and encodes the long non-coding RNA (ncRNA) ANRIL. Here, we show that increased ANRIL expression mediates atherosclerosis risk through trans-regulation of gene networks leading to pro-atherogenic cellular properties, such as increased proliferation and adhesion. ANRIL may act as a scaffold, guiding effector-proteins to chromatin. These functions depend on an Alu motif present in ANRIL RNA and mirrored several thousand-fold in the genome. Alu elements are a family of primate-specific short interspersed repeat elements (SINEs) and have been linked with genetic disease. Current models propose that either exonisation of Alu elements or changes of cis-regulation of adjacent genes are the underlying disease mechanisms. Our work extends the function of Alu transposons to regulatory components of long ncRNAs with a central role in epigenetic trans-regulation. Furthermore, it implies a pivotal role for Alu elements in genetically determined vascular disease and describes a plausible molecular mechanism for a pro-atherogenic function of ANRIL at chromosome 9p21.
Citation: Holdt LM, Hoffmann S, Sass K, Langenberger D, Scholz M, Krohn K, et al. (2013) Alu Elements in ANRIL Non-Coding RNA at Chromosome 9p21 Modulate Atherogenic Cell Functions through Trans-Regulation of Gene Networks. PLoS Genet 9(7): e1003588. doi:10.1371/journal.pgen.1003588
Editor: Mark I. McCarthy, University of Oxford, United Kingdom
Received: February 12, 2013; Accepted: May 9, 2013; Published: July 4, 2013
Copyright: © 2013 Holdt et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by MSD SHARP & DOHME scholarship (MSD-Stipendium 2010-Arteriosklerose, Wilhelm-Stoffel-Stipendium; LMH), and LIFE – Leipzig Research Center for Civilization Diseases, Universität Leipzig (LMH SH DL MS KK KF FB SG GS PFS JT DT). LIFE is funded by the European Union, the European Regional Development Fund (ERDF) and the Free State of Saxony within its initiative of excellence. Part of the study was funded by a grant from the German Ministry of Education and Research through NGFN-plus (DT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The chromosome 9p21 (Chr9p21) locus is the strongest genetic risk factor of atherosclerosis known today, yet, the responsible mechanisms still remain unclear. Chr9p21 lacks associations with common cardiovascular risk factors, such as lipids and hypertension, indicating that the locus exerts its effect through an alternative mechanism –. The risk region spans ∼50 kb of DNA sequence and does not encode protein-coding genes but the long non-coding RNA (ncRNA) antisense non-coding RNA in the INK4 locus (ANRIL; Figure 1A) , . CDKN2BAS or CDKN2B-AS1 are used as synonyms for ANRIL. The closest neighbouring genes are the cyclin-dependent kinase inhibitors CDKN2A and CDKN2B, which are located ∼100 kb proximal of the Chr9p21 atherosclerosis risk region. While these genes are expressed in atherosclerotic lesions , the majority of studies in humans speak against a cis-regulation of CDKN2A and CDKN2B by Chr9p21 (reviewed by ). Studies in mice revealed no effect on atherosclerosis development , . In contrast, a clear association of ANRIL with the Chr9p21 genotype has been established in several studies, even though the direction of effects is still a matter of dispute , , , –. Moreover, a correlation of ANRIL expression with atherosclerosis severity has been described , . Based on these clinical and experimental data, ANRIL must be considered as a prime functional candidate for modifying atherosclerosis susceptibility at the Chr9p21 locus.
(A) Chr9p21 haplotype structure (HapMap CEU, r2) and core atherosclerosis region (between rs12555547 and rs1333050). (B) Exons of initially discovered ANRIL transcripts and their relative position in the Chr9p21 region. *A full list of currently annotated ANRIL isoforms is given in Figure S1B. (C) ANRIL transcripts identified by RACE and PCR amplification (L1-L17). 4 major isoform groups with 4 distinct transcriptions ends were identified. Frequency of exon occurrence/isoform group is color-coded and given in %. ANRIL1-4 denote highly expressed consensus transcripts harbouring exons found in >50% transcripts of the respective isoform group (red). Dotted lines indicate positions of transcript-specific qRT-PCR assays. (D) Study design of ANRIL expression and association with Chr9p21. (E) Association of ANRIL isoforms with Chr9p21 in human PBMC, whole blood and vascular tissue (effect, % change/risk allele defined by rs10757274, rs2383206, rs2383297, and rs10757278).
ANRIL belongs to the family of long ncRNAs, which are arbitrarily defined and distinguished from short ncRNA, such as microRNA, by their length of >200 bp –. Long ncRNAs have been implicated in diverse functions in gene regulation, such as chromosome dosage-compensation, imprinting, epigenetic regulation, cell cycle control, nuclear and cytoplasmic trafficking, transcription, translation, splicing and cell differentiation , –. These effects are mediated by RNA-RNA, RNA-DNA or RNA-protein interactions –. Previous mechanistic work on ANRIL in prostate tissue and cell lines has focused on its role in cis-suppression of CDKN2A and CDKN2B , . Using RNAi against ANRIL, these studies showed impaired recruitment of chromobox homolog 7 (CBX7), a member of Polycomb repressive complex 1 (PRC1) , and of suppressor of zeste 12 (SUZ12), a member of PRC2 , to the Chr9p21 region. PRCs are multiprotein complexes, responsible for initiating and maintaining epigenetic chromatin modifications and thereby controlling gene expression . Yap et al found that knock-down of ANRIL decreased trimethylation of lysine 27 residues in histone 3 (H3K27me3) and was associated with increased CDKN2A expression, while CDKN2B remained unchanged . In contrast, Kotake et al showed that shRNA-mediated ANRIL knock-down disrupted SUZ12 binding to the Chr9p21 locus and led to increased CDKN2B expression whereas CDKN2A remained unaffected . While results of ANRIL knock-down are conflicting with regard to expression of CDKN2A and CDKN2B, both studies demonstrated a significant reduction of cell proliferation , , a key mechanism in atherogenesis . In these studies, however, potential effects of ANRIL knock-down on trans-regulation were not investigated.
Sato et al transiently over-expressed one specific ANRIL transcript in HeLa cells and found effects on expression levels of various genes in trans . Even though the molecular mechanisms were not investigated in that work, this finding was of interest because trans-regulation of target genes has been proposed as a key mechanism for biological effects of other long non-coding RNA such as HOTAIR –. It is believed that these long ncRNAs mediate their effects through targeting epigenetic modifier proteins to specific sites in the genome , , . Taken together, the previously available data suggested that ANRIL might influence gene expression by modulating chromatin modification and thereby affect cardiovascular risk.
The aim of the present study was to investigate the role of ANRIL in gene regulation and cellular functions related to atherogenesis on a mechanistic level. To this end, we performed genome-wide expression analyses in cell lines over-expressing distinct ANRIL transcripts that were associated with Chr9p21. We studied the molecular mechanisms of ANRIL-mediated gene regulation by investigating ANRIL binding to epigenetic effector proteins and their distribution across the genome. Using bioinformatics studies, we identified a regulatory motif characteristic for ANRIL-regulated genes. Finally, the functional relevance of the motif was confirmed by deletion and mutagenesis and results were validated in primary human cells from patients with and without the Chr9p21 atherosclerosis risk allele.
ANRIL isoforms trans-regulate target genes and modulate mechanisms of atherogenesis
Using rapid amplification of cDNA ends (RACE) and subsequent PCR experiments, we identified four major groups of ANRIL transcripts in human peripheral blood mononuclear cells (PBMC) and the monocytic cell line MonoMac (Figure S1, Figure 1C). Consensus transcripts designated ANRIL1-4, comprising the most frequently occurring exon-combinations and most strongly expressed in MonoMac cells (Figure S1E), are shown in Figure 2A. Association of these transcripts with Chr9p21 was confirmed in PBMC (n = 2280) and whole blood (n = 960) of patients with and without coronary artery disease (CAD) in the Leipzig LIFE Heart Study  and in endarterectomy specimens (n = 193) (Figures 1D and 1E). The Chr9p21 risk allele was associated with increased ANRIL expression (Figure 1E) and different isoforms were positively correlated with each other (Figure S2). Using an assay detecting a common exon-exon boundary present in the majority of ANRIL isoforms (Ex1-5), we found a 26% overall increase of ANRIL expression per CAD-risk allele (P = 2.04×10−33) in PBMC of the Leipzig LIFE Heart Study. Strongest isoform specific effects were found for ANRIL2 (5% increase per risk allele; P = 0.002) and ANRIL4 (8% increase per risk allele; P = 3.02×10−6) (Figure 1E). To investigate the functional role of distinct ANRIL transcripts, we generated stably over-expressing cells lines (Figure 2B, Figure S3). ANRIL over-expression led to significant changes of gene expression in trans as determined by genome-wide mRNA expression analysis (Figure 2C). 219 transcripts were down- and 708 transcripts were up-regulated in ANRIL1-4 cell lines with average fold-changes smaller than 0.5 and greater than 2 compared to vector control, respectively (Table S1 and Table S2). These genes were distributed across the genome and there was no evidence for regulation of CDKN2A/B in the Chr9p21 region (Figure S4). Gene set enrichment analysis predicted an effect of ANRIL over-expression on movement/adhesion, growth/proliferation and cell death/apoptosis (Table 1), which are central mechanisms of atherogenesis . We therefore aimed to experimentally validate these predictions in ANRIL over-expressing cell lines. Studies confirmed that ANRIL led to increased cell adhesion with strongest effects observed for cell lines over-expressing ANRIL4 (Figures 2D–2F). Over-expression of ANRIL further promoted cell growth and metabolic activity (Figures 2G–2I). Apoptosis, as determined by flow cytometric analysis of AnnexinV-positive cells (Figure 2J), caspase-3 activity (Figure 2K) and caspase-3 immunohistochemical staining (Figure 2L) was attenuated. Greatest biological effects were consistently found in cell lines over-expressing isoforms ANRIL2 and 4, the same isoforms, which also revealed the strongest associations with the Chr9p21 risk genotype (Figure 1E). Moreover, we demonstrated a dose-dependent effect on these mechanisms in independently established cell lines over-expressing these isoforms (Figure S5). Effects on cell adhesion, proliferation and apoptosis could be reversed by RNAi-mediated knock-down of ANRIL as shown in ANRIL2 and ANRIL4 cell lines (Figures 2M–2O, Figure S6), further supporting a pivotal role of ANRIL in these pro-atherogenic cellular functions.
(A) Consensus transcripts of 4 ANRIL isoform groups identified by RACE and PCR (Figure S1). Dotted lines indicate positions of transcript-specific qRT-PCR assays. (B) RT-PCR confirmation of ANRIL over-expression in stable ANRIL1-4 cell lines. 3–4 cell lines per ANRIL isoform were established, no effect on house-keeping gene expression was found (beta-actin (BA); glyceraldehyde-3-phosphate dehydrogenase (GAPDH)). (C) Heatmap of ANRIL trans-regulated transcripts corresponding to panel B. Transcripts with average down- (<0.5-fold, red) and up- (>2-fold, green) regulation relative to vector control are shown. (D–F) Adhesion of ANRIL over-expressing cell lines to PBS-, Matrigel-, and collagen-coated wells (P<0.01 for comparison of ANRIL1, 2, 3, 4 vs. vector control). (G–I) Cell proliferation and metabolic activity determined by (G) absolute cell numbers, (*/# P<0.05 for ANRIL2 and ANRIL4 vs. vector control), (H) glucose utilisation, and (I) viability assay. (J–L) Apoptosis determined by (J) AnnexinV-positive cells, (K) caspase activity, and (L) caspase-3 staining. (H–K) P<0.05 for ANRIL2 and ANRIL4 vs. vector control. (M–O) Reversal of effects by RNAi against ANRIL (*P<0.05; SCR- scrambled control). (D–K) At least triplicate measurements per pool of 3–4 biological replicates were performed. For details on experimental setup and P-values please see Table S3. (M–O) n = 3/group. Validation of siRNA knock-down is shown in Figure S6. Error bars indicate s.e.m.
PRC but not CoREST/REST proteins bind to ANRIL and are recruited to target gene promoters upon ANRIL over-expression
To systematically identify ANRIL-associated epigenetic effector proteins, we next screened ANRIL binding to Polycomb group (PcG) proteins (AEBP2, BMI1, CBX7, EED, EZH2, JARID2, MEL18, PHF1, PHF19, RBAP46, RING1B, RYBP, SUZ12, YY1) and CoREST/REST (CoREST, REST, LSD1) using RNA immunoprecipitation (RIP) in nuclear extracts from ANRIL2 and 4 cells (Figures 3A–3B). ANRIL did not bind to CoREST/REST repressor proteins but bound to PRC1 proteins CBX7and RING1B and to PRC2 proteins EED, JARID2, RBAP46, and SUZ12. ANRIL also bound to PRC-associated proteins RYBP and YY1 which have been shown to induce gene expression , . To investigate genome-wide distribution of Polycomb complexes, we chose CBX7  and SUZ12  as representative PcG proteins and performed chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) in ANRIL2 cells. Analysis of PcG distribution patterns in ANRIL-target gene promoters revealed reduced SUZ12 and CBX7 occupancy compared to not-regulated genes, following a wave-shaped binding pattern (Figure 3C and Figure S7). Reduced SUZ12 and CBX7 binding, as well as identical occupancy pattern, was replicated in publicly available data from BGO3 cells (Figure 3D). Over-expression of ANRIL increased SUZ12 and CBX7 binding to promoters of up-regulated genes (Figures 3E–3F), concordant with a recently described role of PRCs in regulation of active genes . In further support, RNAi against CBX7 and SUZ12 largely reversed expression patterns not only of ANRIL-repressed, but also induced genes in ANRIL2 cells (Figure 3G). Whereas ANRIL binding to CBX7 and SUZ12 has previously been demonstrated in the context of cis-repression , , our experiments now extent the role of these proteins to ANRIL-mediated trans-regulation of gene networks pivotal in atherogenesis.
(A, B) RNA immunoprecipitation (RIP) followed by qRT-PCR demonstrating ANRIL binding to PRC but not to CoREST/REST proteins in (A) ANRIL2 and (B) ANRIL4 cells. Copies of ANRIL relative to input control are given in (A) blue and (B) red, nuclear ncRNA U1 (white) was used as negative control. rIgG/mIgG/gIgG- rabbit/mouse/goat IgG controls. Error bars indicate s.e.m. (C,D) SUZ12 binding in promoters of ANRIL up-(green), down-(red), and not (black) regulated genes in (C) vector control cell line and (D) in BGO3 cells (GSM602674). TSS- transcription start site. (E, F) Effect of ANRIL over-expression on (E) SUZ12 and (F) CBX7 binding in promoters of up-regulated genes (vector control- dotted line vs. ANRIL2- straight line). (G) Reversal of ANRIL trans-regulation by RNAi against SUZ12 and CBX7 in ANRIL2 cells. SCR- scrambled siRNA control.
Genome-wide PRC binding is dependent on an Alu motif marking promoters of ANRIL target-genes and contained within ANRIL RNA transcripts
To address, which additional factors might be relevant for ANRIL-mediated trans-regulation, we performed bioinformatic analyses of promoter regions of ANRIL up- and down-regulated target genes. To this end, we used the MEME algorithm searching for differences in motif abundance and identified two partially overlapping DNA motifs (Figure 4A). Combined analysis of all trans-regulated genes validated the core motif CACGCCTGTAATCCCAGCACTTTGG (Figure 4A). The identified motif is an Alu-DEIN element ,  with approximately 60.000 copies per human genome . Since MEME does not provide information whether a motif is enriched or depleted, we quantitatively tested motif occurrence and found a significant depletion in up- and down-regulated genes compared to genes not regulated by ANRIL over-expression (4 vs. 6 occurrences per 5 kb promoter, respectively, P<10−15; Figure 4B). These data were consistent with decreased PcG occupancy in target-gene promoters (Figures 3C–3D). Notably, strong enrichment of PcG binding was found ∼150 bp downstream of the Alu motif compared to random DNA control (Figure 4C). This finding was replicated in the independent dataset for SUZ12 in BGO3 cells (Figure 4D) suggesting Alu element-dependent binding of PcG proteins as a general mechanism. Due to the repetitive nature of the investigated Alu motif, the significant spatial coherence between the motif and PcG occupancy was not detected when analyses were masked for repetitive elements (Figure 4E). Importantly, the same Alu motif which was found in the DNA promoter sequence of ANRIL-regulated genes was also present in ANRIL transcripts (Figure S8). Here, it was predicted to form a stem-loop structure in ANRIL RNA (Figure 4F) suggesting RNA-chromatin interactions as a potential effector mechanism . Using RIP, we show that ANRIL co-immunoprecipitates with H3 and trimethylated lysine 27 of histone 3 (H3K27me3) (Figure 4G). These results speak further in favor of ANRIL-chromatin interaction at genomic sites where PRC-mediated epigenetic histone methylation takes place.
(A) DNA motif in promoters (5 kb) of trans-regulated genes representing an Alu-DEIN repeat . (B) Number of Alu motifs in promoters of trans- and not regulated transcripts (n per 5 kb). (C) ChIP-seq enrichment of SUZ12 and CBX7 binding distal to Alu motif, demonstrating a specific spatial relation of motif occurrence to PcG protein binding. RPM- reads per million mapped reads, CTR- random DNA control sequence. (D) Motif-associated SUZ12 signal peaks in an independent data set from BGO3 cells. The actual signal peak only becomes apparent, if a multiple matching policy is adopted. (E) Using a strict unique-matches only policy, a substantial signal reduction is seen downstream of the motif. Please note differences in y-axis scaling in (D, E). (F) Secondary RNA structure prediction for ANRIL2 using the Vienna RNA package . Within the minimum free energy structure, the Alu-DEIN motif is located in a stem-loop structure (arrow). (G) RIP demonstrating ANRIL binding to histone H3 (H3) and trimethylated lysine 27 of histone 3 (H3K27me3) in ANRIL2 (blue) and ANRIL4 (red) cells. U1 was used as negative control. mIgG/rIgG- mouse/rabbit IgG control. Error bars indicate s.e.m.
Alu motif in ANRIL ncRNA is essential for trans-regulation and pro-atherogenic functions
To validate the functional relevance of Alu sequences implemented in ANRIL transcripts, we generated stably over-expressing cell lines devoid of exons containing these sequences (Figure 5A, Figure S9). Over-expression of mutant isoforms ANRIL2a-c and ANRIL4a,b reversed expression changes of representative transcripts that were otherwise induced (TSC22D3; Figure 2C and Figure 5B) or suppressed (COL3A1; Figure 2C and Figure 5C) in ANRIL2 and 4 cells. Increased cell adhesion in ANRIL2 and 4 was abolished in cell lines lacking the Alu motif (Figure 5D). Consistent with this finding, ANRIL2a-c and ANRIL4a,b cell lines showed increased apoptosis and proliferated more slowly compared to ANRIL2 and 4 (Figures 5E–5F). To exclude that depletion of whole exons led to significant changes in ANRIL secondary structure and thus impaired ANRIL function, we next generated cell lines stably over-expressing ANRIL isoforms with single-base mutations of 25%, 33%, and 100% of nucleotides in the identified Alu motif (Figure 5G, Figure S9). Over-expression of these ANRIL isoforms confirmed the important role of the Alu motif by reversing expression changes of ANRIL trans-regulated genes (TSC22D3, Figure 2C and Figure 5H; COL3A1, Figure 2C and Figure 5I) compared to ANRIL2 cells. Moreover, ANRIL-mediated effects on adhesion, apoptosis and proliferation were attenuated (Figures 5J–5L), further supporting the functional relevance of ANRIL Alu motifs in pro-atherogenic cellular functions.
(A) Cell lines over-expressing variants of ANRIL2 (ANRIL2a, 2b, 2c) and ANRIL4 (ANRIL4a, 4b) devoid of Alu motif sequences highlighted by boxes. Validation of over-expression using qRT-PCR assays. (B) Reversal of up-regulation (TSC22D3) and (C) down-regulation (COL3A1) of ANRIL target-gene mRNA expression in ANRIL2a-2c and ANRIL4a,4b compared to ANRIL2 and ANRIL4. Reversal of (D) cell adhesion, (E) apoptosis, and (F) proliferation in cell lines over-expressing mutant ANRIL isoforms. (G) Stable cell lines containing mutated forms of the Alu motif in ANRIL2. Positions of nucleotide exchanges (0, 25%, 33%, and 100%) in the 48 base-pair Alu motif are indicated in red. (H,I) Reversal of trans-regulation in mutant cell lines compared to ANRIL2. (J) Cell adhesion, (K) apoptosis, and (L) proliferation in mutant cell lines. (B,C,H,I,F,L) 3–4 biological replicates/isoform.(D,E,J,K) quadruplicate measurements per pool of 2–3 biological replicates. Error bars indicate s.e.m.
Validation of ANRIL-associated gene networks and pro-atherogenic cell functions in primary cells of patients of the Leipzig LIFE Heart Study
To investigate whether findings from cell culture studies could be translated into the human situation, we investigated genome-wide transcript expression in PBMC from 2280 subjects of the Leipzig LIFE Heart Study and associated gene expression with the Chr9p21 haplotype and ANRIL expression. While no transcripts were significantly associated with Chr9p21 on a genome-wide level, gene set enrichment analyses of genes correlated with ANRIL expression (n = 5066; P value≤0.01) and associated at a nominal significance level with Chr9p21 (n = 1698; P-value≤0.05) revealed comparable pathways to those identified in ANRIL over-expressing cell lines (Table 2). We next investigated adhesion and apoptosis in PBMC from patients, which were either homozygous for the protective or the CAD-risk allele at Chr9p21 (Figures 6A–6B). Consistent with our earlier cell culture studies, the risk allele, which was associated with increased expression of linear ANRIL transcripts (Figure 1), led to increased adhesion (P = 0.001; Figure 6A) and decreased apoptosis (P = 0.001; Figure 6B) compared to PBMCs from carriers of the protective allele.
(A) PBMC from carriers of the Chr9p21 CAD-risk allele defined by rs10757274, rs2383206, rs2383297, and rs10757278 (n = 8) showed increased adhesion (P = 0.001) and (B) decreased apoptosis (P = 0.008) compared to cells of carriers of the protective allele (n = 8). (C) Schematic of molecular scaffolding by ANRIL mediated through potential chromatin-RNA interaction by Alu motifs.
Here we show that the same ANRIL isoforms, which were up-regulated in patients carrying the Chr9p21 atherosclerosis risk haplotype, modulate gene networks in trans leading to pro-atherogenic cellular properties. At the molecular level, we provide strong evidence for an Alu sequence (Figure 4A) as the key regulatory element responsible for ANRIL-mediated trans-regulation (Figure 6C). This Alu motif was not only expressed in ANRIL RNA transcripts but also marked promoters of target-genes and was associated with epigenetic effector protein binding. Depletion and mutagenesis of the motif reversed trans-regulation and normalized cellular functions. More generally, the proposed mechanism of ANRIL in atherogenesis highlights a novel role of Alu elements in epigenetic trans-regulation of gene networks, which might be relevant for other long ncRNAs as well.
To the best of our knowledge, this is the first study investigating the role of distinct ANRIL isoforms in several key mechanisms of atherogenesis using stable over-expression and knock-down approaches (Figure 1 and Figure 2). All investigated ANRIL isoforms had more or less pronounced effects on cellular functions (Figure 2, Table S3), but strongest effects were consistently found in cell lines over-expressing ANRIL isoforms which were up-regulated in patients carrying the Chr9p21 risk allele (Figure 1). These effects were also dose-dependent (Figure S5). Importantly, results from cell culture studies were validated in primary cells from patients with and without the Chr9p21 risk haplotype (Figure 6). So far, mechanistic work on ANRIL has focused on cell proliferation using RNAi approaches , , , . In these studies down-regulation of ANRIL led to decreased proliferation in different cell culture models, which is well in line with our observation of increased proliferation in stable ANRIL over-expressing cell lines (Figure 2). Network analyses of trans-regulated genes in the present study indicated that in addition to proliferation, cell adhesion and apoptosis were also affected in ANRIL cell lines. These predictions were functionally validated revealing that ANRIL over-expression led to increased adhesion and decreased apoptosis. Again, effects were greatest for those isoforms showing the strongest associations with the Chr9p21 risk genotype and could be reversed by RNAi against ANRIL (Figure 2). Moreover, the direction of atherogenic cell functions (increased cell adhesion, increased proliferation and decreased apoptosis) nicely fits with evidence for a potential pro-atherogenic role of ANRIL from patient studies , . Taken together, our data provide a plausible mechanism for pro-atherogenic functions of Chr9p21-associated ANRIL transcripts.
In previous studies, it has been shown that long ncRNA may affect gene expression of target genes –, –. Among the best studied examples is the long ncRNA HOTAIR, which is transcribed from the HOXC cluster and was shown to repress genes in the HOXD cluster in trans , . A potential role of ANRIL in trans-regulation has previously been postulated by Sato et al, investigating genome-wide mRNA expression in HeLa cells upon transient over-expression of a single ANRIL isoform . In the current work, we used a model of stable over-expressing cell lines and found evidence for trans-regulation of distinct gene networks that overlapped between different ANRIL isoforms (Table 1). To translate these finding to patients with coronary artery disease, we performed pathway analysis of genes that were correlated with ANRIL expression and associated with the Chr9p21 risk genotype in 2280 participants of the Leipzig LIFE Heart Study. While no transcript was associated with Chr9p21 at a genome-wide level of significance, we found almost identical pathways in patients with high ANRIL expression and high genetic risk at Chr9p21 as in stable ANRIL over-expressing cell lines (Table 2). The lack of significant associations of gene expression with Chr9p21 has also been observed by Zeller et al  and might be explained by the rather subtle modulation of ANRIL by Chr9p21 with slighter effects on trans-regulation as opposed to stronger over-expression in the investigated cell culture models. Nevertheless, permanently elevated ANRIL levels might activate the observed gene networks leading to subtle changes of cellular functions (Figure 6) and thereby increasing cardiovascular risk over time.
On the mechanistic level, it has been postulated that long ncRNA may serve as a scaffold, guiding effector-proteins to chromatin –, –. Indeed, previous work has demonstrated ANRIL binding to CBX7  and SUZ12 , which are proteins contained in PRC1 and PRC2, respectively. Both previous papers focused on ANRIL-mediated cis-repression of CDKN2A and CDKN2B using RNAi but did not investigate potential trans-regulatory effects , . In the current work, we found no effect of ANRIL over-expression on expression of CDKN2A and CDKN2B (Figure S4). Thus, the spatial coherence of ANRIL transcription with adjacent protein-coding genes might be relevant for cis-suppression.
This is the first study systematically investigating ANRIL binding to 17 different proteins contained in chromatin modifying complexes PRC1, PRC2 and CoREST/Rest (Figure 3). We demonstrated binding to predominantly inhibitory (CBX7, RING1B, EED, JARID2, RBAP46, SUZ12)  and potentially activating factors (RYBP, YY1) , . CBX7 and SUZ12 were selected as representative proteins for PRC1 and 2, respectively, and were followed up in genome-wide ChIP-seq experiments (Figure 3 and Figure 4). Notably, ANRIL over-expression was accompanied with changes of CBX7 and SUZ12 distribution in ANRIL target-gene promoters (Figure 3). The role of PRCs in ANRIL-mediated gene regulation was further proven by RNAi against CBX7 and SUZ12 which reversed trans-regulation of down- and also of up-regulated target genes in ANRIL cells (Figure 3G). Induction of gene expression through PcG proteins might seem at odds with the current understanding of PRC-mediated gene silencing. However, binding of PcG proteins in active genes has been described in earlier studies . Moreover, Morey et al demonstrated reduced gene repression in distinct PRC1 compexes containing RYBP, which was shown to associate with ANRIL (Figure 3) . Alternatively, ANRIL-bound activating factors RYBP and YY1 may directly activate gene expression ,  or ANRIL might bind other activating epigenetic effector proteins . Taken together, we demonstrate a central role of PRC1 and PRC2 but not CoREST/Rest in ANRIL-mediated repression and induction of genes but additional work is clearly warranted to unravel the complex nature of these trans-regulatory mechanisms.
A key limitation in the current understanding of long ncRNA function, in particular with regard to their trans-regulatory effects, is the lack of knowledge about specific regulatory sequences or structural motifs. These sequences might be responsible for targeting long ncRNA to distinct regulatory sites in the genome. Here, we provide first evidence for an important role of Alu motifs in this process, which mark the promoters of ANRIL trans-regulated genes (Figure 4). Additionally, genome-wide ChIP-seq analysis revealed binding of ANRIL-associated PcG effector proteins in close proximity to the Alu motif. Importantly, the same Alu motif was included in ANRIL ncRNA transcripts and predicted to be located in a central stem-loop like structure (Figure 4F). Additional evidence for ANRIL binding to chromatin comes from its association with histone H3 and H3K27me3 (Figure 4G). In previous work, Alu-like, CG- and GA-rich sequences were proposed as potential RNA-DNA interaction sites associated with RNA:DNA:DNA triplex formation , . Paradoxically, Alu occurrence was significantly depleted in ANRIL-regulated genes, suggesting that a certain spatial patterning or additional co-factors in promoter regions rather than motif abundance alone might be relevant (Figure 4, Figure 6C). Functional relevance of the motif was proven by depletion and mutagenesis in ANRIL RNA, which reversed trans-regulation and pro-atherogenic cellular properties (Figure 5). Thus, our data suggest that ANRIL may bind to chromatin through interaction via its Alu motif, thereby guiding PRC proteins to ANRIL-regulated genes (Figure 6C).
Despite long consideration as “genomic junk”, Alu elements are coming into the focus of intense research. Alu enrichment occurred over the course of evolution  and integration at genomic sites was associated with maturation and gain-of-function of ncRNAs . Alu elements as well as distal ANRIL exons are not conserved in the orthologous chromosomal region on mouse chromosome 4, which might be an explanation for the lack of effect on atherosclerosis when deleting that region . Recent work by Jeck et al has also demonstrated preferred inclusion of Alu motifs in non-coding RNA lariats which are commonly thought to represent inactive forms of ncRNAs . Whether implementation of Alu motifs in ncRNA lariats leads to silencing of the effector sequences or not remains to be determined.
In summary, our work extends the function of Alu motifs to regulatory components of ncRNAs with a central role in ncRNA-mediated epigenetic trans-regulation. Furthermore, it implies a pivotal role for Alu elements in genetically determined vascular disease and describes a plausible molecular mechanism for pro-atherogenic ANRIL function at Chr9p21.
Materials and Methods
The Leipzig LIFE Heart Study has been approved by the Ethics Committee of the Medical Faculty of the University Leipzig (Reg. No 276-2005) and was described previously . RNA from peripheral blood mononuclear cells (PBMC; n = 2280) and whole blood (n = 960) from the same patients of this study was isolated as described . Human endarteryectomy specimens (n = 193) were collected in an independent cohort of patients undergoing vascular surgery and the utilization of human vascular tissues was approved by the Ethics Committee of the Medical Faculty Carl Gustav Carus of the Technical University Dresden (EK316122008) .
Genotyping of single nucleotide polymorphisms rs10757274, rs2383206, rs2383297, and rs10757278 in 2280 probands of the Leipzig LIFE Heart Study and in vascular tissue was performed as described , .
Initial screening of human cell lines MonoMac, THP1, U937, HEK293, HepG2, CaCo2, and Hutu80 for Chr9p21 gene expression (MTAP, CDKN2A, CDKN2B, ANRIL, qRT-PCR assays were described in ) revealed that MonoMac and HEK293 cells expressed all Chr9p21 transcripts (data not shown). This suggested that these genes might be functionally relevant in these cells whereas all other investigated cell lines were lacking expression of at least one of the Chr9p21 transcripts. HEK293 cells (DMSZ, ACC305) were cultured in DMEM (Life Technologies) containing 10% fetal calf serum (FCS, Biochrom), 1% penicillin/streptomycin (P/S, Life Technologies). MonoMac cells (DSMZ, ACC124) were cultured in RPMI 1640 (Biochrom) containing 10% FCS, 1% P/S, 1% MEM (Life Technologies), and 1% OPI (Sigma). Cryopreserved PBMC (n = 32) were thawed, cultured in RPMI 1640 (Biochrom) containing 10% FCS, 1% P/S and functional assays were performed within 48 hours.
Generation of stable cell lines
ANRIL isoforms were cloned in the bicistronic pBI-CMV2 (Clontech) or pTRACER-SV40 (Life Technologies) vectors allowing parallel expression of a green fluorescent protein (GFP) and ANRIL transcripts. Using Lipofectamine 2000 (Life Technologies), HEK293 cells were either co-transfected with ANRIL-pBI-CMV2 vectors/empty vector control and neomycin-encoding vector or transfected with ANRIL-pTRACER vectors/empty vector control encoding a GFP-Zeocin resistance gene. Transfected cells were selected with geneticindisulfate (G418, Roth) or Zeocin (Life Technologies). After 2 weeks, stably transfected cells were selected by flow cytometry and over-expression of ANRIL was validated by quantitative RT-PCR. On average, 2–4 cell lines were generated per ANRIL isoform and vector control, respectively.
Cell culture functional assays
Cell adhesion assays were performed in 96-well plates coated with collagen (Roche), Matrigel (BD) or PBS. Cells were allowed to adhere for 40 min, quadruplicate measurements/cell line were performed. Numbers of adherent cells were determined using CellTiter-Blue/CellTiter-Glo (Promega) in relation to standard curves of the respective cell line. PBMC adhesion assays were performed accordingly. Quadruplicate measurements/subject were performed. Cellular proliferation was either determined by counting absolute cell numbers (trypan blue staining) or viability assays (CellTiter-Blue/CellTiter-Glo, Promega). Glucose in the cell culture supernatants was determined using standard chemistry (Roche). Apoptosis was determined using flow-cytometric detection of AnnexinV positive cells (GFP-Certified Apoptosis/Necrosis Detection Kit, ENZO), caspase-3 activity (Caspase-3/CPP32 Fluorometric Assay Kit, BioVision; CaspaseGlo 3/7, Promega) and caspase-3 staining.
siRNA knock-down of ANRIL (n272158, Life Technologies), CBX7 (s23926, Life Technologies), SUZ12 (s23967, Life Technologies) was performed using Lipofectamine 2000 (Life Technologies). Knock-down efficiency was determined by quantitative RT-PCR and Western blotting.
Rapid amplification of cDNA ends (RACE) and sequencing of ANRIL
10 µg RNA from human PBMC and from MonoMac cells were reverse transcribed using the ExactSTART Eukaryotic mRNA 5′- & 3′-RACE Kit (Epicentre Biotechnologies) according to the manufacturer's instructions. RACE PCR reactions were prepared using Advantage 2 Polymerase Mix (Clontech) and subcloned (pCR2.1-TOPO Vector, Life Technologies). Primers used for RACE experiments are listed in Table S4. Amplification of full-length isoforms was performed using primers listed in Table S5 (schematic in Figure S1). Sequencing of PCR products was performed with an automated DNA sequencer (Applied Biosystems).
RNA from cell lines ANRIL1-4 and vector control cell line, siRNA-treated ANRIL2 cells, and RNA from PBMC (n = 2280) was labeled and hybridized to Illumina HumanHT-12 v4 BeadChips. Arrays were scanned with an Illumina iScan microarray scanner. Bead level data preprocessing was done in Illumina GenomeStudio.
Antibodies against AEBP2 (11232-2-AP, Proteintech), BMI1 (05-637, Millipore), CBX7 (ab21873, Abcam), EED (03-196, Millipore), EZH2 (ACC-3147, Cell Signaling), JARID2 (NB100-2214, Novus Biologicals), MEL18 (ab5267, Abcam), PHF1 (sc-101107, Santa Cruz), PHF19 (11895-1-AP, Proteintech), RBAP46 (MA1-23277, Thermo Scientific), RING1B (NBP1-49966, Novus Biologicals), RYBP (NBP1-97742, Novus Biologicals), SUZ12 (ab12073, Abcam), YY1 (NBP1-46218, Novus Biologicals), LSD1 (39186, Active Motif), REST (07-579, Millipore), CoREST (07-455, Millipore), H3 (ab1791, Abcam), H3K27me3 (ab6002, Abcam), rabbit control IgG (kch-504-250, Diagenode), mouse control IgG (kch-819-015, Diagenode), and goat control IgG (sc-2346, Santa Cruz) were used.
The immunoprecipitation reaction followed with some modifications previously described protocols , : 2×107 ANRIL2, ANRIL4 and vector control cells were treated with 0.1% formaldehyde for 10 min at 23°C. Nuclear extracts were preincubated with non-immune IgG and tRNA (100 µg/ml) for 1 h and primary antibodies and control IgG reacted overnight at 4°C. The immunoprecipitates were washed 3× with low-salt, 3× with high-salt and 1× Li-salt buffers. The retrieved RNA was quantitated, reverse transcribed using random hexamer primers, and analyzed by qRT-PCR with ANRIL-specific primers (Ex1-5 assay, Table S6). U1-specific primers were used as negative control (Table S6).
Chromatin immunoprecipitation and next-generation sequencing
2–5×107 ANRIL2 and vector control cells were fixed with 1% formaldehyde for 10 min at 23°C. Cross-linking reaction was stopped by adding glycine to a final concentration of 0.125 M for 5 min followed by three washes with ice-cold PBS. Cells were harvested, suspended in 50 mM Hepes-KOH, pH 7.5, 100 mM NaCl, 1 mM EDTA, pH 8.0, 0.5 mM EGTA, pH 8.0 and incubated for 10 min at 4°C. Cells were washed with 10 mM Tris-HCl, pH 8.0, 200 mM NaCl, 1 mM EDTA, pH 8.0, 0.5 mM EGTA, pH 8.0 for 10 min, pelleted by centrifugation and the nuclei lysed in 10 mM Tris-HCl, pH 8.0, 200 mM NaCl, 1 mM EDTA, pH 8.0, 0.5 mM EGTA pH 8.0, 0.1% Na-Deoxycholate, 0.5% N-lauroylsarcosine for 10 min at 4°C. Samples were sonicated with Diagenode Bioruptor UCD-300TO (High level, 8×5 cycles 30 sec on/30 sec off, 4°C), centrifuged at 15,000× g for 10 min at 4°C and the supernatant was shock-frozen in liquid nitrogen and stored at −80°C. Nuclear extracts were preadsorbed with non-immune IgG for 1 h and treated with SUZ12, CBX7, and control IgG antibodies overnight at 4°C. Precipitates were processed with the HighCell#ChIP kit (Diagenode) and Illumina DNA sequencing libraries were generated using the ChIP-seq Sample Preparation Kit (IP-102-1001, Illumina). Purity and quantity was measured on an Agilent Technologies 2100 Bioanalyzer. Sequencing was performed with the Illumina Genome Analyzer II platform.
Bioinformatics and statistical analysis
Processing of genome-wide expression data.
Illumina HumanHT-12 v4 BeadChips arrays were used for expression profiling. For data from cell lines, bead level data preprocessing was done in Illumina GenomeStudio followed by quantile normalization and background reduction according to standard procedures in the software. Preprocessing of genome-wide expression data in PBMC of the Leipzig LIFE Heart Study comprised selection of expressed features, outlier detection, normalization, and batch correction as described , .
Genotyping quality of SNPs rs10757274, rs2383206, rs2383207, and rs10757278 was determined as described  and haplotypes were inferred using fastphase 1.2.9. Associations of haplotypes with expression profiles, and correlation with ANRIL (Ex1-5, Ex18-19) were calculated using robust linear regression models as described (please refer to Supplemental Materials in ) with the R software for statistical computing .
Gene set enrichment analysis.
Genome-wide expression profiling in ANRIL over-expressing cell lines 1–4 was used to identify transcripts with expression changes of <0.5 and >2 compared to vector control in each cell line. Please refer to legend of Table 1 for absolute numbers of transcripts per analysis. Association of genome-wide expression data with Chr9p21 haplotypes revealed 1698 transcripts with P<0.05, correlation of transcript expression with ANRIL assays Ex1-5 and Ex18-19 revealed 5066 transcripts with P<0.01. Gene set enrichment analysis was performed separately for each dataset using the Ingenuity Pathways Analysis (www.ingenuity.com) to identify most significantly enriched biological functions. Comparison of pathways between different analyses was performed according to standard procedures in the software (Table 1, Table 2). Levels of significance were determined using Fisher's exact tests implemented in the software.
Comparison of groups.
Normality of distribution was tested using the Kolmogorov-Smirnov test implemented in the PRISM statistical software (GraphPad). Comparison of multiple groups was done using ANOVA, and Tukey was performed as post-test. Comparison of 2 groups was done using a t-test.
ChIP-seq reads were aligned to the H. sapiens assembly version hg18 (NCBI36) genome using the segemehl aligner  with a minimum required accuracy of 85%. Best mapping reads were retained for downstream analysis of SUZ12, CBX7 samples, and input DNA (for read numbers see Table S7) to account for ChIP-seq signals in repetitive regions (Figure 3 and Figure 4). After mapping, the read counts were normalized to the total number of mapped reads in each library, converted to WIG-files and analyzed using sitepro from the CEAS package  to test for specific enrichments in vicinity to the previously detected motif. To find signals close to the predicted binding sites, a region of 10,000 nts (–span 10000), a base specific resolution of the resulting plot (–pf-res 1) and the usage of the direction of the motifs (–dir) were set.
The MEME package  was used to search for differences in motifs abundance in promoters (5 kb) of differentially regulated genes. To analyze the promoter regions, the width of expected motif was set between 8 and 30 (-minw 8 and –maxw 30), the expected occurrence to ‚zero or one' (-mod zoops) and the maximum number of motifs to search for to 1 (-nmotifs 1). A bootstrapping approach was chosen to overcome computational limitations to test for motif occurrence within promoters of differentially and not-regulated genes. Promoter sequences of up-, down- and not-regulated genes were chopped into pieces of 100 nt. 250 chops of each group were repeatedly sampled and scanned for motif occurrences using the FIMO tool  of the MEME package. The process was repeated 1000 times for each of the three groups and a p-value of 1e−4 (–output-pthresh 1e-4) was used. Differences in motif occurrence in ANRIL up- and down- and not-regulated gene sets were evaluated using the Kolmogorov-Smirnov test provided by the R software for statistical computing .
ChIP-seq data are deposited in the Sequence Read Archive (SRA) under accession number SRA052089.1. BGO3 (GSM602674) data are publicly available at (http://www.ncbi.nlm.nih.gov/geo).
Rapid amplification of cDNA ends (RACE) and PCR experiments. (A) Initially and (B) currently annotated ANRIL transcripts and exon labeling. (C) Position of 5′- and 3′-RACE primers. RNA from human peripheral blood mononuclear cells (PBMC) and monocytic cell line MonoMac was used. Exon 7b (22.046.252-22.047.065 bp; NCBI36/hg18), exon 13b (22.077.273-22.077.650 bp;NCBI36/hg18). (D) Positions of PCR primers used for amplification of full-length ANRIL isoforms. (E) PCR products and summary of sequencing results of ANRIL isoforms (common forward primer in exon 1, reverse primers in exon 7b, 13, 13b, or 20). ANRIL isoforms 1–4 showed strongest expression and are highlighted in gel. LM- DNA Molecular Weight Marker X (Roche).
Pearson correlation coefficients for expression levels of different ANRIL isoforms in peripheral mononuclear cells of patients of the Leipzig LIFE Heart Study (n = 2280). The following qRT-PCR assays were used: ANRIL Ex7b (isoform 1), Ex7-13 (isoform 2), Ex10-13b (isoform 3), Ex 18-19 (isoform 4), and Ex1-5 (all isoforms). Coefficients between 0.20 and 0.30 are highlighted in grey, coefficients greater than 0.30 are highlighted in black.
Absolute quantification of ANRIL expression in stably over-expressing cell lines ANRIL1-4, vector control, and HEK cells. (A) Graphical summary of exons included in ANRIL1-4 isoforms. ANRIL expression levels were determined by qRT-PCR assays (B) Ex1 (ANRIL1-4), (C) Ex7b (ANRIL1), (D) Ex10-13b (ANRIL3), (E) Ex18-19 (ANRIL4). Cell lines lacking over-expression of respective isoform are highlighted in red. 3–4 cell lines/isoform, quadruplicate measurements/cell line. Error bars indicate s.e.m.
mRNA expression of Chr9p21 genes CDKN2A and CDKN2B in ANRIL1-4 cell lines. mRNA expression of CDKN2A transcripts (A) p16INK4a, (B) p14ARF, and (C) CDKN2B (p15INK4b) was not significantly altered in cell lines ANRIL1-4 compared to control. Copies of each transcript were normalized to 106 copies of the house-keeping gene beta-actin (BA). (A–C) 4 replicates/isoform. Error bars indicate s.e.m.
Dose-dependency of cellular phenotypes in independently established ANRIL2 and 4 over-expressing cell lines. (A) ANRIL expression levels were determined by qRT-PCR assay Ex1. ANRIL2 and ANRIL4 cell lines with high (ANRIL2h, ANRIL4h) and low (ANRIL2l, ANRIL4l) expression and vector (v) control. (B) Adhesion, (C) proliferation, and (D) apoptosis in independently established ANRIL cell lines. Error bars indicate s.e.m.
siRNA-mediated knockdown of ANRIL expression in ANRIL2 and ANRIL4 cells. (A) Corresponds to Figure 2M and O, (B) corresponds to Figure 2N. ANRIL expression levels were determined by qRT-PCR assays spanning exon 7–13 (ANRIL2) and exon 6–16 (ANRIL4), respectively, and were normalized to 106 copies of the house-keeping gene beta-actin (BA). P-values for differences of expression compared to SCR (scrambled) control are given. Error bars indicate s.e.m.
CBX7 binding in promoters of ANRIL trans-regulated genes in vector control cell line. Up-(green), down-(red), and not (black) regulated transcripts. TSS- transcription start site.
Alu-DEIN core motif in ANRIL2 and ANRIL4 RNA transcripts. (A) Sequence of core motif and reverse-complementary motif sequence found in ANRIL4 and ANRIL2 transcripts, respectively. One core motif per ANRIL isoform was identified. (B) ANRIL2 isoform with highlighted motif sequence in exon 7. (C) ANRIL4 isoform with highlighted motif sequence in exons 1/16/18.
Absolute quantification of ANRIL expression in stably over-expressing cell lines ANRIL2, 2a–c, ANRIL4, 4a, 4b, ANRIL2*25/*33/*100, vector control, and HEK cells. (A) Graphical summary of exons included in ANRIL2, 2a–c, ANRIL4, 4a, 4b isoforms. ANRIL expression levels were determined by qRT-PCR assays (B) Ex1 and (C) Ex5-6. (D) Graphical summary of exons included in ANRIL2 and ANRIL 2 cell lines with 25% (*25), 33% (*33), and 100% (*100) nucleotide exchanges in the 48 base-pair Alu motif (Figure 5G). (E) ANRIL expression levels were determined by qRT-PCR assay Ex1. Cell lines lacking over-expression of respective isoform are highlighted in red. 2–4 cell lines/isoform, quadruplicate measurements/cell line. Error bars indicate s.e.m.
ANRIL target-genes with average down-regulation <0.5 fold compared to vector control (n = 219).
ANRIL target-genes with average up-regulation >2 fold compared to vector control (n = 708).
Experimental setup and P-values of experiments shown in Figure 2.
ANRIL RACE primers.
Primers used for PCR amplification of ANRIL transcripts.
Quantitative RT-PCR primers and probes.
Mapping of ChIP-seq reads.
We thank K. Kothe, M. Fritsche, K. Ullrich, C. Döhring, K. Olischer, A. Schink, F. Jeromin, C. Gebhardt, M. Oehlert, and M. Siegemund for their technical assistance, and M. Gericke, Institute of Anatomy, University Leipzig, for help with immunohistochemical caspase-3 staining.
Conceived and designed the experiments: LMH KS DT. Performed the experiments: LMH KS KK KF AS WW. Analyzed the data: LMH SH KS DL MS PFS DT. Contributed reagents/materials/analysis tools: LMH SH DL FB SG GS GG HB IB PFS JT DT. Wrote the paper: LMH DT. Critically revised and approved the final version of the manuscript: LMH SH KS DL MS KK KF AS WW FB SG GS GG HB IB PFS JT DT.
- 1. Helgadottir A, Thorleifsson G, Manolescu A, Gretarsdottir S, Blondal T, et al. (2007) A common variant on chromosome 9p21 affects the risk of myocardial infarction. Science 316: 1491–1493. doi: 10.1126/science.1142842
- 2. McPherson R, Pertsemlidis A, Kavaslar N, Stewart A, Roberts R, et al. (2007) A common allele on chromosome 9 associated with coronary heart disease. Science 316: 1488–1491. doi: 10.1126/science.1142447
- 3. Yap KL, Li S, Munoz-Cabello AM, Raguz S, Zeng L, et al. (2010) Molecular interplay of the noncoding RNA ANRIL and methylated histone H3 lysine 27 by polycomb CBX7 in transcriptional silencing of INK4a. Mol Cell 38: 662–674. doi: 10.1016/j.molcel.2010.03.021
- 4. Samani NJ, Erdmann J, Hall AS, Hengstenberg C, Mangino M, et al. (2007) Genome-wide association analysis of coronary artery disease. New Engl J Med 357: 443–453. doi: 10.1056/nejmoa072366
- 5. Folkersen L, Kyriakou T, Goel A, Peden J, Malarstig A, et al. (2009) Relationship between CAD risk genotype in the chromosome 9p21 locus and gene expression. Identification of eight new ANRIL splice variants. PLoS One 4: e7677. doi: 10.1371/journal.pone.0007677
- 6. Holdt LM, Beutner F, Scholz M, Gielen S, Gabel G, et al. (2010) ANRIL expression is associated with atherosclerosis risk at chromosome 9p21. Arterioscler Thromb Vasc Biol 30: 620–627. doi: 10.1161/atvbaha.109.196832
- 7. Holdt LM, Sass K, Gabel G, Bergert H, Thiery J, et al. (2011) Expression of Chr9p21 genes CDKN2B (p15(INK4b)), CDKN2A (p16(INK4a), p14(ARF)) and MTAP in human atherosclerotic plaque. Atherosclerosis 214: 264–270. doi: 10.1016/j.atherosclerosis.2010.06.029
- 8. Holdt LM, Teupser D (2012) Recent studies of the human chromosome 9p21 locus, which is associated with atherosclerosis in human populations. Arterioscler Thromb Vasc Biol 32: 196–206. doi: 10.1161/atvbaha.111.232678
- 9. Fuster JJ, Molina-Sanchez P, Jovani D, Vinue A, Serrano M, et al. (2012) Increased gene dosage of the Ink4/Arf locus does not attenuate atherosclerosis development in hypercholesterolaemic mice. Atherosclerosis 221: 98–105. doi: 10.1016/j.atherosclerosis.2011.12.013
- 10. Kim JB, Deluna A, Mungrue IN, Vu C, Pouldar D, et al. (2012) Effect of 9p21.3 coronary artery disease locus neighboring genes on atherosclerosis in mice. Circulation 126: 1896–1906. doi: 10.1161/circulationaha.111.064881
- 11. Cunnington MS, Santibanez Koref M, Mayosi BM, Burn J, Keavney B (2010) Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression. PLoS Genet 6: e1000899. doi: 10.1371/journal.pgen.1000899
- 12. Jarinova O, Stewart AF, Roberts R, Wells G, Lau P, et al. (2009) Functional analysis of the chromosome 9p21.3 coronary artery disease risk locus. Arterioscler Thromb Vasc Biol 29: 1671–1677. doi: 10.1161/atvbaha.109.189522
- 13. Liu Y, Sanoff HK, Cho H, Burd CE, Torrice C, et al. (2009) INK4/ARF transcript expression is associated with chromosome 9p21 variants linked to atherosclerosis. PLoS One 4: e5027. doi: 10.1371/journal.pone.0005027
- 14. Kapranov P, Cheng J, Dike S, Nix DA, Duttagupta R, et al. (2007) RNA maps reveal new RNA classes and a possible function for pervasive transcription. Science 316: 1484–1488. doi: 10.1126/science.1138341
- 15. Mattick JS (2009) The genetic signatures of noncoding RNAs. PLoS Genet 5: e1000459. doi: 10.1371/journal.pgen.1000459
- 16. Mercer TR, Dinger ME, Mattick JS (2009) Long non-coding RNAs: insights into functions. Nat Rev Genet 10: 155–159. doi: 10.1038/nrg2521
- 17. Hung T, Chang HY (2010) Long noncoding RNA in genome regulation: prospects and mechanisms. RNA Biol 7: 582–585. doi: 10.4161/rna.7.5.13216
- 18. Lee JT (2012) Epigenetic regulation by long noncoding RNAs. Science 338: 1435–1439. doi: 10.1126/science.1231776
- 19. Wapinski O, Chang HY (2011) Long noncoding RNAs and human disease (vol 21, pg 354, 2011). Trends in Cell Biology 21: 561–561. doi: 10.1016/j.tcb.2011.08.004
- 20. Kotake Y, Nakagawa T, Kitagawa K, Suzuki S, Liu N, et al. (2011) Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15(INK4B) tumor suppressor gene. Oncogene 30: 1956–1962. doi: 10.1038/onc.2010.568
- 21. Margueron R, Reinberg D (2011) The Polycomb complex PRC2 and its mark in life. Nature 469: 343–349. doi: 10.1038/nature09784
- 22. Lusis AJ (2000) Atherosclerosis. Nature 407: 233–241. doi: 10.1038/35025203
- 23. Sato K, Nakagawa H, Tajima A, Yoshida K, Inoue I (2010) ANRIL is implicated in the regulation of nucleus and potential transcriptional target of E2F1. Oncol Rep 24: 701–707. doi: 10.3892/or_00000910
- 24. Khalil AM, Guttman M, Huarte M, Garber M, Raj A, et al. (2009) Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc Natl Acad Sci U S A 106: 11667–11672. doi: 10.1073/pnas.0904715106
- 25. Rinn JL, Kertesz M, Wang JK, Squazzo SL, Xu X, et al. (2007) Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129: 1311–1323. doi: 10.1016/j.cell.2007.05.022
- 26. Tsai MC, Manor O, Wan Y, Mosammaparast N, Wang JK, et al. (2010) Long noncoding RNA as modular scaffold of histone modification complexes. Science 329: 689–693. doi: 10.1126/science.1192002
- 27. Bracken AP, Helin K (2009) Polycomb group proteins: navigators of lineage pathways led astray in cancer. Nat Rev Cancer 9: 773–784. doi: 10.1038/nrc2736
- 28. Beutner F, Teupser D, Gielen S, Holdt LM, Scholz M, et al. (2011) Rationale and design of the Leipzig (LIFE) Heart Study: phenotyping and cardiovascular characteristics of patients with coronary artery disease. PLoS One 6: e29070. doi: 10.1371/journal.pone.0029070
- 29. Gonzalez I, Busturia A (2009) High levels of dRYBP induce apoptosis in Drosophila imaginal cells through the activation of reaper and the requirement of trithorax, dredd and dFADD. Cell Res 19: 747–757. doi: 10.1038/cr.2009.29
- 30. Gregoire S, Karra R, Passer D, Deutsch MA, Krane M, et al. (2013) Essential and Unexpected Role of YY1 to Promote Mesodermal Cardiac Differentiation. Circ Res 112: 900–910. doi: 10.1161/circresaha.113.259259
- 31. Brookes E, de Santiago I, Hebenstreit D, Morris KJ, Carroll T, et al. (2012) Polycomb associates genome-wide with a specific RNA polymerase II variant, and regulates metabolic genes in ESCs. Cell Stem Cell 10: 157–170. doi: 10.1016/j.stem.2011.12.017
- 32. Rudiger NS, Gregersen N, Kielland-Brandt MC (1995) One short well conserved region of Alu-sequences is involved in human gene rearrangements and has homology with prokaryotic chi. Nucleic Acids Res 23: 256–260. doi: 10.1093/nar/23.2.256
- 33. Deininger PL, Jolly DJ, Rubin CM, Friedmann T, Schmid CW (1981) Base sequence studies of 300 nucleotide renatured repeated human DNA clones. J Mol Biol 151: 17–33. doi: 10.1016/0022-2836(81)90219-9
- 34. Weibrecht I, Gavrilovic M, Lindbom L, Landegren U, Wahlby C, et al. (2012) Visualising individual sequence-specific protein-DNA interactions in situ. N Biotechnol 29: 589–598. doi: 10.1016/j.nbt.2011.08.002
- 35. Congrains A, Kamide K, Katsuya T, Yasuda O, Oguro R, et al. (2012) CVD-associated non-coding RNA, ANRIL, modulates expression of atherogenic pathways in VSMC. Biochem Biophys Res Commun 419: 612–616. doi: 10.1016/j.bbrc.2012.02.050
- 36. Congrains A, Kamide K, Oguro R, Yasuda O, Miyata K, et al. (2012) Genetic variants at the 9p21 locus contribute to atherosclerosis through modulation of ANRIL and CDKN2A/B. Atherosclerosis 220: 449–455. doi: 10.1016/j.atherosclerosis.2011.11.017
- 37. Gupta RA, Shah N, Wang KC, Kim J, Horlings HM, et al. (2010) Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 464: 1071–1076. doi: 10.1038/nature08975
- 38. Nagano T, Mitchell JA, Sanz LA, Pauler FM, Ferguson-Smith AC, et al. (2008) The Air noncoding RNA epigenetically silences transcription by targeting G9a to chromatin. Science 322: 1717–1720. doi: 10.1126/science.1163802
- 39. Zhao J, Sun BK, Erwin JA, Song JJ, Lee JT (2008) Polycomb proteins targeted by a short repeat RNA to the mouse X chromosome. Science 322: 750–756. doi: 10.1126/science.1163045
- 40. Zeller T, Wild P, Szymczak S, Rotival M, Schillert A, et al. (2010) Genetics and beyond–the transcriptome of human monocytes and disease susceptibility. PLoS One 5: e10693. doi: 10.1371/journal.pone.0010693
- 41. Simon JA, Kingston RE (2009) Mechanisms of polycomb gene silencing: knowns and unknowns. Nat Rev Mol Cell Biol 10: 697–708. doi: 10.1038/nrm2763
- 42. Morey L, Aloia L, Cozzuto L, Benitah SA, Di Croce L (2013) RYBP and Cbx7 Define Specific Biological Functions of Polycomb Complexes in Mouse Embryonic Stem Cells. Cell Rep 3: 60–69. doi: 10.1016/j.celrep.2012.11.026
- 43. Houseley J, Rubbi L, Grunstein M, Tollervey D, Vogelauer M (2008) A ncRNA modulates histone modification and mRNA induction in the yeast GAL gene cluster. Mol Cell 32: 685–695. doi: 10.1016/j.molcel.2008.09.027
- 44. Buske FA, Mattick JS, Bailey TL (2011) Potential in vivo roles of nucleic acid triple-helices. RNA Biol 8: 427–439. doi: 10.4161/rna.8.3.14999
- 45. Chu C, Qu K, Zhong FL, Artandi SE, Chang HY (2011) Genomic maps of long noncoding RNA occupancy reveal principles of RNA-chromatin interactions. Mol Cell 44: 667–678. doi: 10.1016/j.molcel.2011.08.027
- 46. Cowley M, Oakey RJ (2013) Transposable Elements Re-Wire and Fine-Tune the Transcriptome. PLoS Genet 9 (1) e1003234. doi: 10.1371/journal.pgen.1003234
- 47. Amaral PP, Mattick JS (2008) Noncoding RNA in development. Mamm Genome 19: 454–492. doi: 10.1007/s00335-008-9136-7
- 48. Visel A, Zhu Y, May D, Afzal V, Gong E, et al. (2010) Targeted deletion of the 9p21 non-coding coronary artery disease risk interval in mice. Nature 464: 409–412. doi: 10.1038/nature08801
- 49. Jeck WR, Sorrentino JA, Wang K, Slevin MK, Burd CE, et al. (2013) Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA 19: 141–157. doi: 10.1261/rna.035667.112
- 50. Bernstein BE, Kamal M, Lindblad-Toh K, Bekiranov S, Bailey DK, et al. (2005) Genomic maps and comparative analysis of histone modifications in human and mouse. Cell 120: 169–181. doi: 10.1016/j.cell.2005.01.001
- 51. Niranjanakumari S, Lasda E, Brazas R, Garcia-Blanco MA (2002) Reversible cross-linking combined with immunoprecipitation to study RNA-protein interactions in vivo. Methods 26: 182–190. doi: 10.1016/s1046-2023(02)00021-x
- 52. Johnson WE, Li C, Rabinovic A (2007) Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8: 118–127. doi: 10.1093/biostatistics/kxj037
- 53. Schmid R, Baum P, Ittrich C, Fundel-Clemens K, Huber W, et al. (2010) Comparison of normalization methods for Illumina BeadChip HumanHT-12 v3. BMC Genomics 11: 349. doi: 10.1186/1471-2164-11-349
- 54. Ihaka R, Gentleman R (1996) R a language for data analysis and graphics. J Comp Graph Stat 5: 299–314. doi: 10.1080/10618600.1996.10474713
- 55. Hoffmann S, Otto C, Kurtz S, Sharma CM, Khaitovich P, et al. (2009) Fast mapping of short sequences with mismatches, insertions and deletions using index structures. PLoS Comput Biol 5: e1000502. doi: 10.1371/journal.pcbi.1000502
- 56. Shin H, Liu T, Manrai AK, Liu XS (2009) CEAS: cis-regulatory element annotation system. Bioinformatics 25: 2605–2606. doi: 10.1093/bioinformatics/btp479
- 57. Bailey TL, Boden M, Buske FA, Frith M, Grant CE, et al. (2009) MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res 37: W202–208. doi: 10.1093/nar/gkp335
- 58. Tacker M, Fontana W, Stadler PF, Schuster P (1994) Statistics of RNA melting kinetics. Eur Biophys J 23: 29–38. doi: 10.1007/bf00192203