Open Access

Natural antisense transcript of natriuretic peptide precursor A (NPPA): structural organization and modulation of NPPA expression

BMC Molecular Biology200910:81

DOI: 10.1186/1471-2199-10-81

Received: 25 March 2009

Accepted: 11 August 2009

Published: 11 August 2009

Abstract

Background

Mammalian transcriptome contains a large proportion of diverse and structurally complex noncoding RNAs. One class of such RNAs, natural antisense transcripts (NATs), are derived from the opposite strand of many protein-coding genes. Although the exact structure and functional relevance of most of the NATs is unknown, their emerging role as gene expression regulators raises the hypothesis that NATs might contribute to development of complex human disorders. The goal of our study was to investigate the involvement of NATs in regulation of candidate genes for blood pressure.

Results

First we analysed blood pressure candidate genes for the presence of natural antisense transcripts. In silico analysis revealed that seven genes (ADD3, NPPA, ATP1A1, NPR2, CYP17A1, ACSM3, SLC14A2) have an antisense partner transcribed from the opposite strand. We characterized NPPA and its antisense transcript (NPPA-AS) in more detail. We found that NPPA-AS is expressed in a number of human tissues as a collection of alternatively spliced isoforms and that NPPA-AS and NPPA can form RNA duplexes in vivo. We also demonstrated that a specific NPPA-AS isoform is capable of down-regulating the intron-retained NPPA mRNA variant. We studied the evolutionary conservation of NPPA-AS and were able to detect the presence of Nppa-as transcript in mouse.

Conclusion

Our results demonstrate functional interaction of NPPA-AS with NPPA at the RNA level and suggest that antisense transcription might be an important post-transcriptional mechanism modulating NPPA expression.

Background

A number of large-scale transcriptional mapping studies have shown that the mammalian transcriptome is extremely complex not only due to alternative splicing but also (and maybe primarily) because of the abundance of noncoding and often overlapping transcriptional units [14]. This has raised the hypothesis of RNA-based regulatory system that has allowed the elaboration and expansion of phenotypic complexity of multicellular organisms [5]. It appears that the transcription from both strands in eukaryotic genomes is widespread [610], resulting in a large pool of complementary RNAs, or natural sense-antisense transcript pairs. The diversity and extent of antisense transcription suggests that this may be an important and common mechanism of gene expression modulation (recently reviewed in [1113]).

Depending on the methodological approach and criteria for antisense transcript detection, the estimates of the proportion of transcripts involved in formation of sense-antisense pairs varies from 20 to 40% [2, 610]. Majority of the natural antisense transcripts (NATs) originate from the opposite DNA strand of the same locus as the sense transcript (cis-NATs). In some cases, NATs can be transcribed from different loci on the genome (trans-NATs) [14]. Although high-throughput studies have investigated expression pattern and evolution of antisense transcripts on a genome-wide scale, the direct regulatory role of NATs has been demonstrated only in a few cases. The mode of NAT action includes very different mechanisms like transcriptional interference [15], RNA masking [16], and epigenetic silencing by triggering heterochromatin formation [17]. In addition, other double-stranded RNA dependant mechanisms like RNA editing or RNA interference may be involved. It has been shown that bidirectionally transcribed loci in mouse can produce endogenous siRNAs [14] and therefore may regulate gene expression by means of RNAi. In the case of Zeb2 (zinc finger E-box binding homeobox 2) expression regulation, a NAT masks one of the 5' splice sites of Zeb2 pre-mRNA, thereby causing the retention of regulatory intron that is necessary for the translation of Zeb2 protein [16]. Strong phenotypic effect of antisense transcription was shown in a specific case of thalassemia which is caused by a deletion leading to aberrant antisense transcription and silencing of a neighboring gene by CpG island methylation [18]. The potential role of NATs in the regulation of gene expression raises the hypothesis that they might contribute to complex genetic human disorders such as cardiovascular disease, cancer, diabetes or mental disorders.

The goal of the present study was to investigate whether natural antisense transcripts are involved in regulation of candidate genes for hypertension. We proposed that the functional variation of candidate genes might be affected by the interaction with regulatory factors, including non-coding antisense RNAs. We focused on the genes with demonstrated role in familial forms of hypo- and hypertension from a salt-water homeostasis pathway [1921].

We identified seven genes that are associated with cis-NATs (ADD3, NPPA, ATP1A1, NPR2, CYP17A1, ACSM3, SLC14A2). Detailed analysis was carried out for NPPA (natriuretic peptide precursor A) and its natural antisense transcript, NPPA-AS. NPPA codes for a precursor of atrial natriuretic peptide (ANP) that protects the cardiovascular system from the volume and pressure overload by decreasing vascular smooth muscle tone. Common genetic variants at the NPPA locus that are associated with the higher ANP concentration are also associated with lower blood pressure and reduced risk of hypertension [22]. In addition, NPPA expression is tightly regulated during the embryonic heart development [23, 24], suggesting that complex regulatory mechanisms control the activity of NPPA.

Results

Natural antisense transcripts associated with candidate genes for blood pressure regulation

We first identified candidate genes [see Additional file 1 – Table S1] with the evidence of antisense transcription by screening them against published sense-antisense pairs [8] and scanning for expressed sequence tags (ESTs) on opposite strand using UCSC Genome Browser http://genome.ucsc.edu/. We found that seven (ADD3, NPPA, ATP1A1, NPR2, CYP17A1, ACSM3, SLC14A2) out of 38 genes tested had multiexon NATs supported by a number of ESTs with canonical GT-AG splice donor-acceptor sites (Table 1). The antisense transcripts (indicated by suffix -AS, that stands for 'antisense') differ from each other in their organization and complementarity in respect to sense mRNA [see Additional file 2 – Figure S1]. The 5'-most exons of antisense transcript for adducin 3, ADD3-AS, have complementarity to 5' UTR exons of the sense gene (5'-5' overlap). In other cases, the overlap pattern is more complex, involving one or several internal exons and intron-exon boundaries. In two cases, the transcript from opposite strand has been annotated as a protein-coding mRNA: (i) NPR2 3'-most exon is partially complementary to SPAG8 [see Additional file 2 – Figure S1D] and (ii) EXOD1 is transcribed from opposite strand of ACSM3 [see Additional file 2 – Figure S1F]. In addition, the open reading frame (ORF) is predicted for one of the isoforms of ADD3-AS and NPPA-AS (99 and 121 amino acids, respectively). Taken together, these data indicate that antisense transcripts associated with blood pressure candidate genes have diverse structure and various relationships to their sense partners.
Table 1

Hypertension candidate genes associated with antisense transcripts.

Gene

Antisense overlap*

Antisense mRNA/ESTs§

Antisense ORF

ADD3(adducin 3)

chr10:111,746,098-111,885,313

2 exons, both 5' UTR

U92992 (total 17 ESTs)

3 exons, 99 aa

NPPA(natriuretic peptide precursor A)

chr1:11,828,363-11,830,422

3 exons

BU732528 (total 12 ESTs)

1 exon, 121 aa

ATP1A1(Na+/K+ -ATPase alpha 1 subunit)

chr1:116,717,359-116,748,919

3 coding exons

AK309389 (total 27 ESTs)

 

NPR2(natriuretic peptide receptor B)

chr9:35,782,406-35,799,728

1 exon (coding and 3' UTR)

SPAG8 (total 37 ESTs)

8 exons, 501 aa

CYP17A1(cytochrome P450, family 17)

chr10:104,580,278-104,587,280

3 coding exons

BX100578 (total 6 ESTs)

 

ACSM3(acyl-coenzyme A synthetase)

chr16:20,682,813-20,715,980

1 coding exon

EXOD1 (total 49 ESTs)

11 exons, 328 aa

SLC14A2(solute carrier family 14, member 2)

chr18:41,046,958-41,517,058

1 noncoding 5' UTR exon

AK126075 (total 12 ESTs)

 

* Number of sense gene exons involved in sense-antisense complementarity. § A gene symbol or a GenBank accession of a representative EST or mRNA and a total number of ESTs in antisense cluster. ORF – open reading frame (only ORFs larger than 90 aa are shown), UTR – untranslated region, aa – amino acids.

Structure and expression of NPPA in human tissues

For further studies we selected NPPA and its antisense transcript, NPPA-AS (Figure 1A). This sense-antisense pair was selected for functional studies because (i) NPPA-AS is represented by a cluster of alternatively spliced ESTs and overlaps with the exons, introns as well as with intron-exon boundaries of NPPA, raising the hypothesis that it could have a posttranscriptional regulatory role in NPPA expression and (ii) NPPA has a compact size, consisting of only three exons and spanning ~2 kb on human chromosome 1p36.22 that makes it a good model system for examination of the functional role of antisense transcription.
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Figure 1

Splicing isoforms and expression pattern of NPPA and NPPA-AS. (A) Genomic structure of NPPA and its antisense transcript, NPPA-AS (represented by several overlapping ESTs). Arrowheads indicate the direction of transcription, vertical lines depict the overlap between sense and antisense exons. The length of complementary region is shown in basepairs. Coding regions of NPPA and putative NPPA-AS ORF are represented as black boxes, noncoding exons and UTRs as white boxes. (B) The expression analysis of NPPA demonstrates the presence of intron-retained variants (NPPA+Intr1+2, 1820 bp and NPPA+Intr1, 722 bp) in a number of tissues. PCR reactions were performed using the primers NPPA-F and NPPA-R (indicated by arrows labeled F and R on Figure 1C) and resolved on an agarose gel. Expected size of correctly spliced NPPA product is 600 bp. The shorter product in testis (457 bp) represents a testis-specific isoform of antisense transcript NPPA-AS.9, which was not represented by ESTs in the databank and therefore could not be avoided when designing primers. (C) The schematic depiction of NPPA and NPPA-AS splicing isoforms, the products of 3' RACE reactions and their location on the genomic sequence. The gray block arrows indicate the direction of transcription. (D) NPPA-AS is widely expressed as a complex combination of alternatively spliced isoforms. Upper panel: the agarose gel showing the reactions performed using primers NPPA-AS-F4 and NPPA-AS-R1 (indicated by arrows labeled F4 and R1 on Figure 1C) on the panel of tissue-specific cDNAs. Lower panel: Isoform 3'RACE.2 is expressed only in testis. PCR was performed using primers NPPA-AS-F1 and NPPA-AS-R5 (indicated by arrows labeled F1 and R5 on Figure 1C). The band corresponds to the expected size of 405 bp.

We investigated the expression of NPPA using commercial Human Multiple Tissue cDNA panels MTC I and II (Figure 1B, C). Consistent with previous studies [2325], the strongest expression of NPPA was detected in heart, but several tissues contained additional alternative products. Sequencing of these products revealed that the largest NPPA band detected in many tissues (1820 bp) represents the isoform of NPPA with retained both introns (further referred to as NPPA+Intr1+2). Visual inspection of the agarose gel (Figure 1B) indicates that the expression of this unspliced form and correctly spliced NPPA appear to be inversely correlated. Alternative product of 722 bp that was observed in liver, testis and leukocytes contains the retained intron 1 (NPPA+Intr1). In addition, a product shorter than correctly spliced NPPA mRNA (457 bp) was detected in testis. Sequencing of this product revealed that its sequence and splicing pattern are similar to the transcripts originating from the opposite strand, suggesting that this is actually an isoform of NPPA-AS, which was not represented by any of the ESTs in the database. To ensure that the amplification of NPPA+Intr1+2 is not caused by genomic DNA contamination, additional PCR experiments were performed with several primers that detect only NPPA-AS, but not NPPA [see Additional file 2 – Figure S2]. Because NPPA and NPPA-AS are both transcribed from the same genomic locus, contamination with the genomic DNA should result in amplification of unspliced NPPA-AS as well. However, these reactions yielded only the products corresponding to correctly spliced NPPA-AS, indicating no presence of the genomic contamination and demonstrating that the NPPA+Intr1+2 isoform indeed represents mRNA with retained introns.

NPPA-AS is expressed as a collection of alternatively spliced isoforms

Next, we characterized the structure and expression profile of NPPA-AS in human tissues using the panel of tissue-specific cDNAs (Figures 1C, D). Sequencing of eight identified isoforms confirmed that they all are spliced according to GT-AG consensus rule [see Additional file 2 – Figures S3 and S4]. It appears that NPPA-AS isoforms are not a result of alternative usage of different exons, but rather almost every exon displays at least two alternative splice donor/acceptor sites (Figure 1C). Majority of the alternative splicing events occur at the acceptor site of the intron. In addition, clearly identifiable polypyrimidine tract is located close to the splice acceptor site of all introns.

Next, we mapped the 3' end of NPPA-AS by RACE using RNA from HeLa cell line. We designed the gene-specific primers that would identify the 3' variants that are important in respect of complementarity with NPPA. Sequencing of the 3' RACE products identified two alternative 3' ends of NPPA-AS. One of the RACE products confirmed the presence of 3'-terminal exon that was predicted based on EST sequences CD368210 and BU732528 (3'RACE.1, Figure 1C). In addition, we identified a novel 3'-terminal exon that overlaps with the second intron and third exon of NPPA (3'RACE.2, Figure 1C). Expression analysis of the 3'RACE.2 isoform showed that among the sixteen tissues analysed, it is expressed only in testis (Figure 1D). Isoform 3'RACE.1 contains a suboptimal AGTAAA poly(A) signal 16 nucleotides upstream of the cleavage site, in the position where the majority of poly(A) signals are located [26]. 3'RACE.2 isoform does not contain a detectable polyadenylation signal, but an A-rich element (AAAGAGAACACAGACATA), similar to the element found in PAPOLG gene [27], that is also lacking any poly(A) signal variant, is located 19 nucleotides upstream of polyadenylation site. This suggests that in addition to alternative splicing, the processing of the NPPA-AS transcript might be regulated also at the level of polyadenylation.

Primary sequence of NPPA-AS is not evolutionarily conserved

To address the evolutionary conservation of NPPA-AS, we first asked whether Nppa gene in mouse is associated with similar natural antisense transcript. Two ESTs (GenBank:BQ771223 and CO043998 representing the 5' and 3' end of the IMAGE clone 6400656) at the Nppa locus originate from the opposite strand and therefore may represent Nppa-as in mouse. These ESTs are isolated from the brain of the mouse at embryonic day 12.5. Both ESTs follow the GT-AG splicing consensus, and CO043998 contains a canonical polyadenylation signal AATAAA as well as a short poly(A) tail. RT-PCR using RNA isolated from mouse tissues showed weak expression of Nppa-as in brain and very faint signal in liver (Figure 2A), while the expression of Nppa was present in all tissues that were tested (heart, brain, lung, liver, kidney and spleen) (Figure 2A). Exons of the mouse and human antisense transcript are not conserved at the primary structure level outside of the overlap regions with the NPPA exons and are located at the different positions in the genomic sequence (Figure 2B). However, both in mouse and in human, the antisense transcript overlaps with the intron-exon boundaries of NPPA gene (Figure 2B).
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Figure 2

Expression analysis of Nppa and Nppa-as in mouse tissues. (A) Nppa is expressed in all tissues that were tested and Nppa-as is expressed in the brain. Nppa was amplified using primers mNppa-F and mNppa-R, Nppa-as was detected using primers mNppa-asF and mNppa-asR (indicated by arrows marked F, R, asF and asR on Figure 2B, respectively). (B) Genomic organization of NPPA locus in mouse and human. Arrowheads indicate the direction of transcription. Conservation profile of the human sequence, based on the UCSC vertebrate conservation track is shown below. Conservation is detected in the coding region (depicted as black boxes), promoter area and 3' terminus of NPPA gene, but not in the NPPA-AS exons that are located in introns or downstream of the NPPA gene.

The last exon of NPPA-AS 3'RACE.1 isoform (Figure 1C, represented also by ESTs GenBank:CD368210 and BU732528) contains an open reading frame (ORF) that is predicted to code for a protein of 121 amino acids [see Additional file 2 – Figure S5]. The multiple alignment and in silico translation demonstrate that in all organisms except human and chimpanzee, the predicted ORF is interrupted by at least one frameshift and one stop codon [see Additional file 2 – Figures S5A and S6]. Since the translated amino acid sequence does not contain any conserved domains and has no significant identity above 30% to any known protein, the function of the predicted protein in human and chimpanzee cannot be assessed based on the primary sequence.

Positive correlation between the expression levels of intron-retained NPPA and specific NPPA-AS isoforms

To study the correlation between the expression levels of NPPA and NPPA-AS, we quantified the specific NPPA and NPPA-AS isoforms using real-time PCR and commercial Human Multiple Tissue cDNA panels MTC I and II (Figure 3). We focused on the NPPA-AS isoforms NPPA-AS.1 and 2 (Figure 3B) that are complementary to the first intron and first and second exon of NPPA, including intron-exon boundaries. These are the isoforms that most likely have an impact on NPPA expression regulation. We detected no correlation between the expression of correctly spliced NPPA and its antisense transcript (Figure 3A), but instead observed a strong positive correlation between the expression levels of NPPA-AS and NPPA variants with retained intron 1 (Spearman's rank correlation coefficient = 0.77, p-value = 0.0028). This result was confirmed by using an alternative set of primers detecting the same NPPA-AS isoforms and retained NPPA intron 1 (data not shown). Such correlation further indicates a possible functional relationship between NPPA-AS expression and posttranscriptional regulation of NPPA.
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Figure 3

Expression levels of NPPA variants with retained intron and NPPA-AS are highly correlated (Spearman's rank correlation coefficient = 0.77, p-value = 0.0028). (A) Expression levels of NPPA-AS (a total of isoforms 1 and 2) and NPPA (spliced and intron-retained forms were detected separately using primers shown on Figure 3B) were determined by quantitative real-time PCR on a panel of human tissue-specific cDNAs. Expression levels were normalized to endogenous GAPDH mRNA. (B) Schematic depiction of primer positions (black arrows) that were used to quantify the expression levels of NPPA and NPPA-AS. To the right are indicated the symbols that are used for each reaction in Figure 3A.

NPPA-AS as a modulator of expression of NPPA splicing isoforms

To test the hypothesis that NPPA-AS has a regulatory role in the splicing of NPPA mRNA, we constructed expression vectors containing either NPPA gene or one of the four antisense transcript isoforms with different regions of complementarity to NPPA (Figure 4A). Constructs pNPPA-AS-1, -2, -3 and -4 were generated by cloning of NPPA-AS isoforms NPPA-AS.1 and 2 and3'RACE products 3'RACE.1 and 3'RACE.2, respectively, into the expression vector pQM-Ntag/A. Generation of different constructs expressing NPPA or NPPA-AS isoforms allows to test the effect of each antisense variant separately and eliminates the possible influence of transcriptional interference as a mechanism of antisense action.
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Figure 4

NPPA-AS constructs modulate the level of intron-retained NPPA variants. (A) Schematic depiction of expression constructs and oligonucleotide primers that were used to quantify spliced NPPA (NPPA-Ex1Ex2-F and NPPA-Ex2-R) or the variants with retained intron 1 (NPPA-In1Ex2-F and NPPA-Ex2-R). (B) The expression of NPPA intron-retained form was reduced significantly in case of coexpression with pNPPA-AS-1. Mouse NIH3T3 cells were cotransfected with pNPPA-mg2 along with different NPPA-AS expression constructs depicted above or empty vector as a control. Relative expression levels of spliced (left panel) and intron-retained (right panel) NPPA mRNA were analysed by real-time quantitative PCR. The geometric mean of two reference genes, GAPDH and HPRT1, was used as an endogenous control. The results are represented as arbitrary units based on relative quantity at the logarithmic scale. Error bars show s.e.m. P-value was calculated using Mann-Whitney Test.

We cotransfected NPPA expression construct into the mouse embryonic fibroblast cell line NIH3T3 in pairs with individual NPPA-AS constructs and quantified correctly spliced and intron-retained variants of NPPA by real-time RT-PCR. Mouse cell line was selected for transfection in order to eliminate the possible effect of endogenous expression of NPPA and NPPA-AS. The expression of specific NPPA-AS isoforms in transfected cells was confirmed by quantitative RT-PCR (data not shown). As shown in Figure 4B, expression level of intron-retained NPPA variant was significantly downregulated after transfection with pNPPA-AS-1 (P = 0.002, Mann-Whitney test). Although all constructs caused slight changes in expression levels of both spliced and intron-retained NPPA, the effects did no reach statistical significance in other experiments.

To further test whether complementary sequences of NPPA and NPPA-AS actually can form RNA duplexes, we performed RT-PCR on RNase treated RNA samples from cotransfections of NPPA and NPPA-AS constructs pNPPA-AS-1 and 3 (Figure 5). In both cases, the product with the correct size from RNase-treated samples was obtained, indicating that NPPA and its antisense transcript indeed form duplex RNAs. pNPPA-AS-3 has complementarity only to exonic regions of NPPA and can form a duplex with both spliced and unspliced NPPA mRNA. In the case of pNPPA-AS-1 we detected the duplex formation with the intronic region of NPPA, which can occur only with unspliced pre-mRNA. These results indicate that NPPA and NPPA-AS interact at the RNA level and that a specific NPPA-AS isoform (NPPA-AS.1) can modulate the proportion of intron-retained NPPA.
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Figure 5

NPPA-AS forms RNA duplexes with NPPA. Reactions were performed with cloned intron-containing NPPA gene (pNPPA-mg2) and two antisense isoforms: pNPPA-AS-1 (A) and pNPPA-AS-3 (B). The agarose gels showing the results of PCR reactions using RNA samples treated (+) or non-treated (-) with RNase A. RT indicates reverse transcription reaction in the presence (+) or without (-) a reverse transcriptase. H2O, no template control; Ctrl, control reaction performed using cloned NPPA (A) or NPPA-AS (B) as a template.

Discussion

The important regulatory role of endogenous noncoding RNAs, including antisense transcripts, has been proposed based on a number of large-scale transcription profiling studies. Because of the variety of functional mechanisms and lack of direct experimental support, the biological meaning of most of this noncoding transcription is still unclear. In the present study we have investigated NPPA/NPPA-AS sense-antisense transcript pair.

Several studies have addressed the question whether some fraction of antisense transcripts may in fact be artifacts of reverse transcription reaction [28, 29]. To exclude such artifacts from our study, we considered only NATs with two or more exons and consensus splice sequences. In addition, 3' RACE reactions further confirmed the strand-specificity of NPPA-AS by identification of two alternative polyadenylated 3' terminal exons (Figure 1C).

NPPA is a functional candidate gene for elevated blood pressure, coding for an atrial natriuretic peptide (ANP), a member of a small family of endogenous peptide hormones. It is produced primarily by atrial cardiocytes in response to increasing cardiac wall tension. Association of specific NPPA variants with increased ANP levels as well as with lower blood pressure and reduced risk of hypertension [22] strongly support the central role of NPPA in the maintenance of blood pressure homeostasis. In addition, a region harbouring NPPA was among the eight loci identified in the meta-analysis of blood pressure genome-wide association studies [30]. Transcriptional regulation of NPPA and maturation of ANP have been studied quite extensively (for recent reviews see [31, 32]) and our results add further evidence to the elaborate control of NPPA expression.

During the expression analysis of NPPA mRNA we found the strongest expression of correctly spliced NPPA in heart and moderate expression in a number of human tissues, including prostate, pancreas and small intestine, for example (Figure 1B). In addition, we observed the expression of NPPA isoforms with retained introns (NPPA+Intr1 and NPPA+Intr1+2) in several tissues (Figure 1B). Normally, ANP is synthesized as a 153-amino acid preprohormone. Removal of the signal peptide creates a 126-amino acid prohormone that is further cleaved to form a mature C-terminal 27-amino acid ANP. In the case of NPPA+Intr1 and NPPA+Intr1+2, the ORF that starts with the first methionine (Met-1) of prepro-ANP encodes only for a signal peptide region and is terminated after the frameshift caused by the intron retention. An alternative ORF of intron-retained NPPA isoforms, starting with the methionine Met-51 includes the mature ANP sequence, but since the peptide encoded by this putative ORF does not contain a signal sequence, its proper processing and biological activity is doubtful.

The natural antisense transcript of NPPA, that we named NPPA-AS, is widely present in human tissues and displays a complex pattern of alternative splicing (Figure 1D). All different NPPA-AS splicing isoforms overlap with both exonic and intronic regions of NPPA, including intron-exon boundaries (Figure 1C). Such overlap pattern raised the hypothesis that NPPA-AS may be involved in the regulation of NPPA expression.

Overlapping antisense gene pairs are preferentially co-expressed or inversely expressed in human tissues [6, 33, 34], supporting a model of negative control by antisense RNA that proposes state of balance in case of co-expression or up- or downregulation in case of inverse expression. Interestingly, the expression of NPPA-AS was strongly correlated with the intron-retained, rather than correctly spliced form of NPPA (Figure 3), indicating that it may play a functional role in posttranscriptional regulation of NPPA expression. Such correlation, however, does not necessarily indicate causal relationship, because it can be affected by many factors including regulation of transcription of both NPPA and NPPA-AS, or modulation of NPPA splicing by other factors.

Conservation often reflects functional significance of a nucleotide sequence. Among sense-antisense pairs, less than 7% are found to be conserved between human and mouse [35, 36]. This may indicate that antisense transcripts are mostly species-specific, or alternatively, that the process of transcription, secondary structure or organization of the transcript rather than the primary sequence is functionally important. Among conserved sense-antisense pairs, about one third have identical expression pattern in mouse and human [37]. We found that expression profile in mouse and human is different for both NPPA and NPPA-AS (Figure 2). In mouse, Nppa is strongly expressed in some tissues (brain, lung, liver) where human NPPA is expressed weakly. We did not detect any alternatively spliced or intron-retained Nppa forms in mouse. In case of NPPA-AS, we found that neither the primary structure nor the expression pattern is conserved between mouse and human: in human it is expressed in all tissues examined, while in mouse the expression was observed only in brain (Figure 2A). However, both mouse and human antisense transcripts overlap with the exon-intron boundaries of NPPA (Figure 2B), implying that such genomic arrangement might be functionally significant.

Although many antisense transcripts overlap with the intron-exon boundaries of the sense mRNA, the effect of endogenous antisense transcripts as splicing regulators is studied in detail only in a few cases [16, 38]. Modulation of mRNA splicing by exogenous antisense oligonucleotides has gained more attention and its therapeutic potential has been established in clinical trials involving patients with Duchenne's muscular dystrophy [39]. Much less is known about the role of endogenous antisense RNAs in regulation of splicing or stability of different mRNA isoforms. The complementarity of NPPA and its antisense exons suggests that if NPPA-AS has a function in regulation of NPPA, it depends on the mechanisms that involve the interactions at the RNA level. Our results show (Figure 4B) that at least one NPPA-AS isoform can modulate the ratio of unspliced and spliced NPPA variants, by decreasing the levels of intron-retained NPPA form. Since we were using minigene expression system, we excluded the effects of such possible regulatory mechanisms like transcriptional interference and heterochromatin formation [17]. Currently we do not know what is the exact mechanism of intron-retained NPPA downregulation, but it is possible that the formation of the duplex RNA due to the complementary regions can lead to post-transcriptional regulation via different mechanisms like RNA masking (in which case the binding of factors required for splicing or export is blocked), RNA editing or RNA interference [14]. Although the role of RNA interference in NAT-mediated regulation in mammals has been controversial, Watanabe et al. [14] identified seventeen loci in mouse where siRNAs arose from interaction of sense-antisense transcripts of the same locus. Considering the large number of NATs in mammals, the real extent of siRNA biogenesis via endogenous sense-antisense RNA interaction in mammalian cells remains still unknown. It is also possible that since antisense transcription extends through entire NPPA locus and into the promoter region, the mechanisms like transcriptional interference and modulation of NPPA promoter elements can occur and affect the expression of NPPA independently.

Although the biological role of NPPA antisense transcription needs further investigation, the regulatory role of NPPA in both adult cardiovascular system and in heart development during embryogenesis [23, 24] suggest that NPPA-AS may be involved in fine-tuning of NPPA expression during embryonic development or in response to specific stimulus.

Conclusion

We have identified the natural antisense transcripts of human blood pressure candidate genes and provide a detailed characterization of an antisense transcript associated with the NPPA gene. Our data support the biological significance of NPPA-AS by demonstrating that it (i) is widely expressed as a collection of canonically spliced isoforms, (ii) can directly interact with NPPA at the RNA level and (iii) is able to influence the levels of intron-retained NPPA variants.

Methods

Identification and in silico analysis of natural antisense transcripts

Candidate genes (n = 38) were selected according to the prior evidence of involvement in blood pressure regulation [see Additional file 1 – Table S1]. Most of the genes were selected based on the published data on the biology and genetics of blood pressure regulation. The selection included also genes responsible for the Mendelian forms of hypertension or hypotension, location near linkage peaks or quantitative trait loci (QTLs), reports on animal models and human association studies. Additional information was obtained from different resources (OMIM, http://www.ncbi.nlm.nih.gov/sites/entrez?db=omim; NCBI GeneBank and NCBI Locuslink http://www.ncbi.nlm.nih.gov/; Ensembl http://www.ensembl.org/index.html). Candidate gene list was also supplemented with loci involved in other cardiovascular diseases like myocardial infarction, coronary artery disease and stroke. The candidate genes were screened for antisense transcripts using recently published sense-antisense transcript data [8]. The structure and direction of the transcripts was verified using UCSC Genome Browser http://genome.ucsc.edu/. To avoid random „transcriptional noise” and genomic DNA contamination, we considered only transcripts with at least two exons, canonical splice sites (GT/AG) and overlap with at least one exon of the sense gene. In addition, several transcripts had a polyadenylation signal and poly(A) tail, supporting together with canonical splice sites their strand-specificity.

Multiple alignment of sequences corresponding to predicted ORF of NPPA-AS from different species was performed using ClustalW2 at http://www.ebi.ac.uk/Tools/clustalw2/index.html. Sequence database searches were performed using BLAST programs at http://www.ncbi.nlm.nih.gov/.

PCR and sequencing

Expression analysis of NPPA and NPPA-AS was carried out using Human Multiple Tissue cDNA panels MTC I and II (BD Biosciences) and primers [see Additional file 1 – Table S2] that were designed using Primer3 program http://frodo.wi.mit.edu/. G3PDH primers were included with MTC panels. PCR on mouse tissue-specific cDNAs was performed using oligonucleotides designed according to mouse Nppa gene and EST BQ771223 (for Nppa-as). PCR conditions were: 75 mM Tris-HCl (pH 8.8), 20 mM (NH4)2SO4, 0.01% Tween 20, 2.5 mM MgCl2, 250 μM dNTPs and 2.5 u per 100 μl Taq DNA Polymerase (Fermentas). Cycling conditions followed the touch-down procedure, namely initial denaturation at 94°C for 2 m, followed by 11 cycles at 94°C for 30 s, annealing for 30 s at temperatures decreasing from 62 to 57°C (with 0.5°C decremental in each cycle), 72°C for 60 s, and 30 cycles at 94°C for 30 s, 57°C for 30 s, 72°C for 60 s, and ending with an extension step at 72°C for 5 m.

For sequencing, PCR products were extracted from agarose gel using NucleoSpin Extract II (Macherey-Nagel) and either cloned into the pTZ57R vector using InsT/Aclone Kit (Fermentas) or sequenced directly after ExoI/SAP (both Fermentas) treatment. Sequencing reactions were performed using BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems) according to manufacturer's instructions and analyzed on ABI Prism™ 3730xl DNA Analyzer. Sequencing results were manually analyzed using Bioedit software http://www.mbio.ncsu.edu/BioEdit/bioedit.html and mapped to the genome using BLAT alignment tool [40] at the UCSC Genome Browser http://genome.ucsc.edu/. Novel sequences obtained in this study have been submitted to GenBank database (FJ706070–FJ706079).

3' RACE (rapid amplification of cDNA ends)

The 3' RACE reactions were performed using GeneRacer™ Kit (Invitrogen) and 1 μg of total RNA isolated from semi-confluent HeLa cells grown in 5% CO2 at 37°C. Reverse transcription was performed using SuperScript III Reverse Transcriptase and GeneRacer™ Oligo dT Primer (both included in the kit). Amplification was carried out using GeneRacer™ or 3' primer and the following gene-specific primers: NPPA-AS-F1, -F2 or -F5. Nested PCR was performed using nested GeneRacer™ primer and suitable gene-specific primers.

Construction of plasmids

The vector pQM-Ntag/A (Quattromed, Estonia) was used to create expression constructs under the control of CMV promoter. NPPA gene was amplified from human genomic DNA using primers NPPA-GFXba and NPPA-GRBam and inserted into the Xba I and Bam HI sites of pQM-Ntag/A. These primers amplify a 2069 bp fragment (chr1:11828358-11830426 according to human genome assembly hg18) of genomic DNA, including all three NPPA coding exons and both UTRs. Four constructs representing different NPPA-AS splicing isoforms were generated. pNPPA-AS-1 and -2 represent splicing isoforms NPPA-AS.1 and NPPA-AS.2 obtained with oligonucleotides NPPA-AS-F4 and NPPA-AS-R1. For generation of pNPPA-AS-3 and -4, 3' RACE products 3'RACE.1 and 3'RACE.2 were utilized. All constructs were sequenced using internal primers as well as universal primers flanking the insert cloning site.

Transfection of expression constructs

Cells were grown in 5% CO2 at 37°C and on the day before transfection were plated into 24-well plates using medium without antibiotics. Next day, cells were transfected using Lipofectamine™ 2000 reagent (Invitrogen) and 1.0 μg of total plasmid DNA (0.2 μg of pNPPA-mg2 and 0.8 μg of any of the NPPA-AS constructs or empty vector). Cells were incubated at 37°C and RNA was isolated 24 hours later. For relative quantitation experiments, transfections were carried out in triplicate three times (total nine replicates).

RNA isolation

Total RNA from cell lines and from mouse (male C57bl/6) tissues was isolated using TRIzol reagent (Invitrogen) and the quantity and quality of RNA was assessed using Nanodrop ND-1000 (Thermo Scientific). DNase treatment was performed using TURBO DNA-free Kit™ (Ambion) with 1 μg of RNA in a volume of 30 μl. cDNA was synthesized using 2 μg of total RNA and First Strand cDNA Synthesis Kit (Fermentas) according to manufacturer's instructions.

Real-time quantitative PCR

For investigation of expression levels of NPPA and NPPA-AS in human tissues, the Human Multiple Tissue cDNA panels MTC I and II (BD Biosciences) were used. Amplification was performed with the following primer pairs: NPPA-Ex1Ex2-F and NPPA-Ex2-R for quantification of spliced NPPA; NPPA-In1Ex2-F and NPPA-Ex2-R for detection of unspliced NPPA. For quantification of NPPA-AS, primers NPPA-ASRT-F4 and NPPA-ASRT-R4 were used. GAPDH was used as an endogenous control and amplified with primers GAPDH-S and GAPDH-AS. For quantification of spliced and unspliced NPPA from transfection experiments, RNA from mouse NIH3T3 cells was isolated and DNase-treated as described above. Primers were designed avoiding binding to mouse sequences to prevent nonspecific amplification. Correctly spliced NPPA mRNA was detected using primers NPPA-Ex1Ex2-F and NPPA-Ex2R, unspliced NPPA was detected using primers NPPA-In1Ex2-F and NPPA-Ex2-R. Two endogenous reference genes were used: GAPDH (amplified with primers GAPDH-S and GAPDH-AS) and HPRT1 (amplified with primers HPRT1-S and HPRT1-AS). The reactions were performed in the 96-well microtiter plate using ABI PRISM® 7900 Real-Time PCR cycler. The 25 μl reaction mixture consisted of 3 μl of 1:10 cDNA dilution, 12.5 μl of ABsolute™ QPCR SYBR® Green ROX Mix (Thermo Scientific), 70 nM forward and reverse primer. The cycling parameters were: enzyme activation at 95°C for 15 m followed by 40 cycles 95°C for 15 s, 60°C for 30 s, 72°C for 30 s. Reactions were performed in triplicates for each biological replicate. As negative controls for DNA contamination, reactions without the reverse transcriptase were carried out. We performed control and optimization experiments for all primer pairs and selected for actual quantitation experiments primer pairs with amplification efficiency of 100 ± 10%. During optimization, serial dilutions of template were used and the specificity of the PCR products was confirmed by the presence of a single peak during the dissociation curve analysis. Amplification efficiency of the reactions was 100 ± 10% and intra- and inter-assay variation coefficients were below 3% and 8%, respectively. PCR efficiencies were calculated from ten-fold dilution series and relative expression of correctly spliced and intron-retained NPPA was calculated according to Pfaffl [41] by taking PCR efficiency into account. The geometric mean of GAPDH and HPRT1 was used as an endogenous control. Statistical significance of the results was analyzed using two-tailed Mann-Whitney test.

Duplex detection

RNA from NIH3T3 cells cotransfected with constructs pNPPAmg2 and pNPPA-AS-1 or pNPPA-AS-3 was isolated as described previously and treated with DNase (TURBO DNA-free Kit™, Ambion) according to manufacturer's instructions and 0.5 μl of RNase A (10 mg/ml, Fermentas). RNase was inactivated with 0.5 mg/ml proteinase K treatment at the presence of 1% SDS for 30 min at 37°C. RNA was extracted with phenol/chloroform treatment and cDNA was synthesized using primers In1R (for NPPA-AS-1 duplex detection) or duplR (for NPPA-AS-3) and First Strand cDNA Synthesis Kit (Fermentas). In parallel, control experiments using RNAs not treated with RNase A and reverse transcriptions without reverse transcriptase were performed. PCR was performed with primers In1R and Ex1In1F for detection of NPPA::NPPA-AS-1 duplex and with primers duplF and duplR for detection of NPPA::NPPA-AS-3 duplex.

Declarations

Acknowledgements

We thank Kristiina Rull for providing placental RNA, prof. Toivo Maimets for providing cell culture facilities, Urmo Võsa and Viljo Soo for technical assistance and Martti Laan, Kai Kisand and Sulev Kuuse for mouse tissue samples. We also thank Mart Speek for stimulating discussions and Jaana Männik and Ana Rebane for critical review of the manuscript. This work was supported by Wellcome Trust grant no. 070191/z/03/z (to M.L.), Howard Hughes Medical Institute grant #55005617 (to M.L.), Estonian Ministry of Education and Science core grant no. 0182721s06 (to M.L.) and Estonian Science Foundation grant ETF6597 (to T.A.).

Authors’ Affiliations

(1)
Institute of Molecular and Cell Biology, University of Tartu

References

  1. Birney E, Stamatoyannopoulos JA, Dutta A, Guigo R, Gingeras TR, Margulies EH, Weng Z, Snyder M, Dermitzakis ET, Thurman RE, et al: Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature. 2007, 447 (7146): 799-816. 10.1038/nature05874View ArticlePubMedGoogle Scholar
  2. Cheng J, Kapranov P, Drenkow J, Dike S, Brubaker S, Patel S, Long J, Stern D, Tammana H, Helt G, et al: Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution. Science. 2005, 308 (5725): 1149-1154. 10.1126/science.1108625View ArticlePubMedGoogle Scholar
  3. Kapranov P, Willingham AT, Gingeras TR: Genome-wide transcription and the implications for genomic organization. Nat Rev Genet. 2007, 8 (6): 413-423. 10.1038/nrg2083View ArticlePubMedGoogle Scholar
  4. Carninci P, Kasukawa T, Katayama S, Gough J, Frith MC, Maeda N, Oyama R, Ravasi T, Lenhard B, Wells C, et al: The transcriptional landscape of the mammalian genome. Science. 2005, 309 (5740): 1559-1563. 10.1126/science.1112014View ArticlePubMedGoogle Scholar
  5. Mattick JS: RNA regulation: a new genetics?. Nat Rev Genet. 2004, 5 (4): 316-323. 10.1038/nrg1321View ArticlePubMedGoogle Scholar
  6. Katayama S, Tomaru Y, Kasukawa T, Waki K, Nakanishi M, Nakamura M, Nishida H, Yap CC, Suzuki M, Kawai J, et al: Antisense transcription in the mammalian transcriptome. Science. 2005, 309 (5740): 1564-1566. 10.1126/science.1112009View ArticlePubMedGoogle Scholar
  7. Wang XJ, Gaasterland T, Chua NH: Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana. Genome Biol. 2005, 6 (4): R30- 10.1186/gb-2005-6-4-r30PubMed CentralView ArticlePubMedGoogle Scholar
  8. Chen J, Sun M, Kent WJ, Huang X, Xie H, Wang W, Zhou G, Shi RZ, Rowley JD: Over 20% of human transcripts might form sense-antisense pairs. Nucleic Acids Res. 2004, 32 (16): 4812-4820. 10.1093/nar/gkh818PubMed CentralView ArticlePubMedGoogle Scholar
  9. Rosok O, Sioud M: Systematic identification of sense-antisense transcripts in mammalian cells. Nat Biotechnol. 2004, 22 (1): 104-108. 10.1038/nbt925View ArticlePubMedGoogle Scholar
  10. Yelin R, Dahary D, Sorek R, Levanon EY, Goldstein O, Shoshan A, Diber A, Biton S, Tamir Y, Khosravi R, et al: Widespread occurrence of antisense transcription in the human genome. Nat Biotechnol. 2003, 21 (4): 379-386. 10.1038/nbt808View ArticlePubMedGoogle Scholar
  11. Beiter T, Reich E, Williams RW, Simon P: Antisense transcription: A critical look in both directions. Cell Mol Life Sci. 2009, 66 (1): 94-112. 10.1007/s00018-008-8381-yView ArticlePubMedGoogle Scholar
  12. Lapidot M, Pilpel Y: Genome-wide natural antisense transcription: coupling its regulation to its different regulatory mechanisms. EMBO Rep. 2006, 7 (12): 1216-1222. 10.1038/sj.embor.7400857PubMed CentralView ArticlePubMedGoogle Scholar
  13. Carninci P, Yasuda J, Hayashizaki Y: Multifaceted mammalian transcriptome. Curr Opin Cell Biol. 2008, 20 (3): 274-280. 10.1016/j.ceb.2008.03.008View ArticlePubMedGoogle Scholar
  14. Watanabe T, Totoki Y, Toyoda A, Kaneda M, Kuramochi-Miyagawa S, Obata Y, Chiba H, Kohara Y, Kono T, Nakano T, et al: Endogenous siRNAs from naturally formed dsRNAs regulate transcripts in mouse oocytes. Nature. 2008, 453 (7194): 539-543. 10.1038/nature06908View ArticlePubMedGoogle Scholar
  15. Hongay CF, Grisafi PL, Galitski T, Fink GR: Antisense transcription controls cell fate in Saccharomyces cerevisiae. Cell. 2006, 127 (4): 735-745. 10.1016/j.cell.2006.09.038View ArticlePubMedGoogle Scholar
  16. Beltran M, Puig I, Pena C, Garcia JM, Alvarez AB, Pena R, Bonilla F, de Herreros AG: A natural antisense transcript regulates Zeb2/Sip1 gene expression during Snail1-induced epithelial-mesenchymal transition. Genes Dev. 2008, 22 (6): 756-769. 10.1101/gad.455708PubMed CentralView ArticlePubMedGoogle Scholar
  17. Yu W, Gius D, Onyango P, Muldoon-Jacobs K, Karp J, Feinberg AP, Cui H: Epigenetic silencing of tumour suppressor gene p15 by its antisense RNA. Nature. 2008, 451 (7175): 202-206. 10.1038/nature06468PubMed CentralView ArticlePubMedGoogle Scholar
  18. Tufarelli C, Stanley JA, Garrick D, Sharpe JA, Ayyub H, Wood WG, Higgs DR: Transcription of antisense RNA leading to gene silencing and methylation as a novel cause of human genetic disease. Nat Genet. 2003, 34 (2): 157-165. 10.1038/ng1157View ArticlePubMedGoogle Scholar
  19. Lifton RP, Gharavi AG, Geller DS: Molecular mechanisms of human hypertension. Cell. 2001, 104 (4): 545-556. 10.1016/S0092-8674(01)00241-0View ArticlePubMedGoogle Scholar
  20. Blaustein MP, Zhang J, Chen L, Hamilton BP: How does salt retention raise blood pressure?. Am J Physiol Regul Integr Comp Physiol. 2006, 290 (3): R514-523.View ArticlePubMedGoogle Scholar
  21. Ruppert V, Maisch B: Genetics of human hypertension. Herz. 2003, 28 (8): 655-662. 10.1007/s00059-003-2516-6View ArticlePubMedGoogle Scholar
  22. Newton-Cheh C, Larson MG, Vasan RS, Levy D, Bloch KD, Surti A, Guiducci C, Kathiresan S, Benjamin EJ, Struck J, et al: Association of common variants in NPPA and NPPB with circulating natriuretic peptides and blood pressure. Nat Genet. 2009, 41 (3): 348-353. 10.1038/ng.328PubMed CentralView ArticlePubMedGoogle Scholar
  23. Houweling AC, van Borren MM, Moorman AF, Christoffels VM: Expression and regulation of the atrial natriuretic factor encoding gene Nppa during development and disease. Cardiovasc Res. 2005, 67 (4): 583-593. 10.1016/j.cardiores.2005.06.013View ArticlePubMedGoogle Scholar
  24. Zeller R, Bloch KD, Williams BS, Arceci RJ, Seidman CE: Localized expression of the atrial natriuretic factor gene during cardiac embryogenesis. Genes Dev. 1987, 1 (7): 693-698. 10.1101/gad.1.7.693View ArticlePubMedGoogle Scholar
  25. de Bold AJ, Borenstein HB, Veress AT, Sonnenberg H: A rapid and potent natriuretic response to intravenous injection of atrial myocardial extract in rats. Life Sci. 1981, 28 (1): 89-94. 10.1016/0024-3205(81)90370-2View ArticlePubMedGoogle Scholar
  26. Beaudoing E, Freier S, Wyatt JR, Claverie JM, Gautheret D: Patterns of variant polyadenylation signal usage in human genes. Genome Res. 2000, 10 (7): 1001-1010. 10.1101/gr.10.7.1001PubMed CentralView ArticlePubMedGoogle Scholar
  27. Venkataraman K, Brown KM, Gilmartin GM: Analysis of a noncanonical poly(A) site reveals a tripartite mechanism for vertebrate poly(A) site recognition. Genes Dev. 2005, 19 (11): 1315-1327. 10.1101/gad.1298605PubMed CentralView ArticlePubMedGoogle Scholar
  28. Wu JQ, Du J, Rozowsky J, Zhang Z, Urban AE, Euskirchen G, Weissman S, Gerstein M, Snyder M: Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome. Genome Biol. 2008, 9 (1): R3- 10.1186/gb-2008-9-1-r3PubMed CentralView ArticlePubMedGoogle Scholar
  29. Perocchi F, Xu Z, Clauder-Munster S, Steinmetz LM: Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D. Nucleic Acids Res. 2007, 35 (19): e128- 10.1093/nar/gkm683PubMed CentralView ArticlePubMedGoogle Scholar
  30. Newton-Cheh C, Johnson T, Gateva V, Tobin M, Bochud M, Coin L, Najjar S, Zhao J, Heath S, Eyheramendy S, et al: Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet. 2009, 41 (3): 666-676. 10.1038/ng.361..PubMed CentralView ArticlePubMedGoogle Scholar
  31. Gardner DG, Chen S, Glenn DJ, Grigsby CL: Molecular biology of the natriuretic peptide system: implications for physiology and hypertension. Hypertension. 2007, 49 (3): 419-426. 10.1161/01.HYP.0000258532.07418.faView ArticlePubMedGoogle Scholar
  32. Richards AM: Natriuretic peptides: update on Peptide release, bioactivity, and clinical use. Hypertension. 2007, 50 (1): 25-30. 10.1161/HYPERTENSIONAHA.106.069153View ArticlePubMedGoogle Scholar
  33. Chen J, Sun M, Hurst LD, Carmichael GG, Rowley JD: Genome-wide analysis of coordinate expression and evolution of human cis-encoded sense-antisense transcripts. Trends Genet. 2005, 21 (6): 326-329. 10.1016/j.tig.2005.04.006View ArticlePubMedGoogle Scholar
  34. Werner A, Schmutzler G, Carlile M, Miles CG, Peters H: Expression profiling of antisense transcripts on DNA arrays. Physiol Genomics. 2007, 28 (3): 294-300.View ArticlePubMedGoogle Scholar
  35. Numata K, Okada Y, Saito R, Kiyosawa H, Kanai A, Tomita M: Comparative analysis of cis-encoded antisense RNAs in eukaryotes. Gene. 2007, 392 (1–2): 134-141. 10.1016/j.gene.2006.12.005View ArticlePubMedGoogle Scholar
  36. Engstrom PG, Suzuki H, Ninomiya N, Akalin A, Sessa L, Lavorgna G, Brozzi A, Luzi L, Tan SL, Yang L, et al: Complex Loci in human and mouse genomes. PLoS Genet. 2006, 2 (4): e47- 10.1371/journal.pgen.0020047PubMed CentralView ArticlePubMedGoogle Scholar
  37. Okada Y, Tashiro C, Numata K, Watanabe K, Nakaoka H, Yamamoto N, Okubo K, Ikeda R, Saito R, Kanai A, et al: Comparative expression analysis uncovers novel features of endogenous antisense transcription. Hum Mol Genet. 2008, 17 (11): 1631-1640. 10.1093/hmg/ddn051View ArticlePubMedGoogle Scholar
  38. Hastings ML, Ingle HA, Lazar MA, Munroe SH: Post-transcriptional regulation of thyroid hormone receptor expression by cis-acting sequences and a naturally occurring antisense RNA. J Biol Chem. 2000, 275 (15): 11507-11513. 10.1074/jbc.275.15.11507View ArticlePubMedGoogle Scholar
  39. van Deutekom JC, Janson AA, Ginjaar IB, Frankhuizen WS, Aartsma-Rus A, Bremmer-Bout M, den Dunnen JT, Koop K, Kooi van der AJ, Goemans NM, et al: Local dystrophin restoration with antisense oligonucleotide PRO051. N Engl J Med. 2007, 357 (26): 2677-2686. 10.1056/NEJMoa073108View ArticlePubMedGoogle Scholar
  40. Kent WJ: BLAT – the BLAST-like alignment tool. Genome Res. 2002, 12 (4): 656-664.PubMed CentralView ArticlePubMedGoogle Scholar
  41. Pfaffl MW: A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001, 29 (9): e45- 10.1093/nar/29.9.e45PubMed CentralView ArticlePubMedGoogle Scholar

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© Annilo et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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