- Open Access
Evidence for natural antisense transcript-mediated inhibition of microRNA function
Genome Biology volume 11, Article number: R56 (2010)
MicroRNAs (miRNAs) have the potential to regulate diverse sets of mRNA targets. In addition, mammalian genomes contain numerous natural antisense transcripts, most of which appear to be non-protein-coding RNAs (ncRNAs). We have recently identified and characterized a highly conserved non-coding antisense transcript for beta-secretase-1 (BACE1), a critical enzyme in Alzheimer's disease pathophysiology. The BACE1-antisense transcript is markedly up-regulated in brain samples from Alzheimer's disease patients and promotes the stability of the (sense) BACE1 transcript.
We report here that BACE1-antisense prevents miRNA-induced repression of BACE1 mRNA by masking the binding site for miR-485-5p. Indeed, miR-485-5p and BACE1-antisense compete for binding within the same region in the open reading frame of the BACE1 mRNA. We observed opposing effects of BACE1-antisense and miR-485-5p on BACE1 protein in vitro and showed that Locked Nucleic Acid-antimiR mediated knockdown of miR-485-5p as well as BACE1-antisense over-expression can prevent the miRNA-induced BACE1 suppression. We found that the expression of BACE1-antisense as well as miR-485-5p are dysregulated in RNA samples from Alzheimer's disease subjects compared to control individuals.
Our data demonstrate an interface between two distinct groups of regulatory RNAs in the computation of BACE1 gene expression. Moreover, bioinformatics analyses revealed a theoretical basis for many other potential interactions between natural antisense transcripts and miRNAs at the binding sites of the latter.
Recent transcriptomic efforts have revealed surprisingly large numbers of non-protein-coding RNAs (ncRNAs) in mammalian genomes [1–4]. Classes of ncRNAs include small ncRNAs, such as microRNAs (miRNAs) and small nucleolar RNAs (snoRNAs), and several thousand long ncRNAs, including those that form complex interleaved and overlapping patterns with coding transcripts [5–7]. Natural antisense transcripts (NATs) are endogenous RNA molecules transcribed from the opposite strand of other protein-coding or non-protein-coding (sense) genes. A large-scale cDNA sequencing effort, conducted by the FANTOM-3 consortium, confirmed and greatly extended the existence of large numbers of NATs . At least 1,000 pairs of sense-antisense transcripts were found well conserved between mouse and human . Recently, we have identified and characterized in detail one sense-antisense pair, BACE1 (beta-secretase-1) and its antisense partner BACE1-antisense (BACE1-AS), and demonstrated a critical role of this non-protein-coding NAT in Alzheimer's disease . Here, we report evidence that a miRNA, miR-485-5p, is involved in BACE1 post-transcriptional regulation. Together with BACE1-AS, miR-485-5p has the potential to participate in a ncRNA network that serves to fine-tune BACE1 protein output in the nervous system.
The mechanisms by which NATs regulate gene expression are largely unknown. The natural antisense transcript for HIF-1α (hypoxia inducible factor-1α) destabilizes one splice variant of HIF mRNA and shifts the balance in favour of the other variant [11, 12]. Destabilization of one splice variant takes place by exposing the AU-rich elements in HIF-1α mRNA following antisense binding to its 3' UTR [11, 13, 14]. By contrast, stabilization of mRNA by covering the AU-rich element has been suggested for an antisense transcript of the Bcl-2/IgH hybrid gene . We previously demonstrated that BACE1-AS enhances the stability of the BACE1 sense transcript . Here we show that BACE1-AS prevents miRNA-induced translational repression and mRNA decay of BACE1 mRNA by 'masking' the binding site for miR-485-5p. We observed that BACE1-AS and miR-485-5p ncRNAs compete for binding to the sixth exonic region of BACE1 mRNA. Covering the miR-485-5p miRNA-binding site by BACE1-AS transcripts might eliminate miRNA-induced translational repression and BACE1 mRNA decay. Considering the reported effects of miRNAs on mRNA stability , cytoplasmic sense-antisense RNA duplex formation can potentially inhibit the interactions between miR-485-5p and BACE1 mRNA to explain, in part, the enhancement of BACE1 mRNA stability by BACE1-AS transcripts.
BACE1-AS masks the binding site of miR-485-5p
miRNAs constitute a class of noncoding regulatory RNA that functions by binding to target RNAs . We have conducted a bioinformatics search for miRNA binding sites in BACE1 mRNA and predicted the presence of a binding site for miR-485-5p in the sixth exon of BACE1 mRNA. Previously we showed that the same region of BACE1 mRNA may interact with a natural antisense transcript, BACE1-AS, and that there is potential for sense-antisense RNA duplex formation (Figure 1a, b). Considering RNA duplex formation between BACE1 and BACE1-AS, we postulated that an additional regulatory function of BACE1-AS may be 'masking' the miR-485-5p binding site and thereby blocking the inhibitory effects of this miRNA on BACE1 translation and mRNA decay (Figure 1a, b). Some other miRNA target sites were found in the overlapping region of the BACE1 mRNA; however, the assigned score and binding energy were not sufficient to be considered as strong candidates. We selected a number of these miRNAs, including miR-17-3p, miR-652, miR-593 and miR-183, and over-expressed these in our cellular model, with a beta-galactosidase reporter assay corresponding to BACE1 protein as a read-out (see below). We found that, unlike miR-485-5p, these miRNAs were not able to alter BACE1 protein concentrations (Figure 1c). Although these miRNAs did not pass our validation studies, we cannot completely exclude potential interactions between these miRNAs and BACE1 or BACE1-AS transcripts.
Target site validation by luciferase constructs
To validate the predicted miR-485-5p target site in BACE1 mRNA, we engineered a miR-485-5p target site downstream of a luciferase reporter gene. This sequence corresponds to the predicted target site of miR-485-5p on BACE1 mRNA. We found that the presence of this target site is sufficient for luciferase reporter protein reduction upon miR-485-5p over-expression (Figure 2a). We also constructed a luciferase reporter with either full complementary or mismatch target sites for miR-485-5p as positive and negative controls, respectively. Each one of these three luciferase constructs was transfected into HEK293T cells in the presence of miR-485-5p over-expressing or empty control vectors. We observed significant down-regulation of luciferase in the construct with miR-485-5p target sites in the presence of a miR-485-5p over-expressing vector. Our results indicate that the presence of our predicted miR-485-5p target site is sufficient for miRNA binding, suggesting the possibility of in vivo interactions between miR-485-5p and its cognate binding site in the sixth exonic region of the BACE1 mRNA.
Validation of a binding site in the coding region
Although luciferase reporters are extensively utilized as a validation tool for miRNA targets, these constructs have limitations for evaluating binding sites located in the coding region. To create a construct that resembles an in vivo setting, we cloned full-length BACE1 cDNA, excluding the 3' UTR, into a ProLabel C3 expression vector (DiscoveRx). The ProLabel C3 vector, upon transfection into mammalian cells, expresses BACE1 mRNA and protein with a small fusion tag. The protein tag is then used for the detection of protein synthesis utilizing the enzyme fragment complementation (EFC) system. Next, we examined the effect of miR-485-5p over-expression on BACE1 protein in HEK293T C3 cells using enzyme complementation protein quantification technology (DiscoveRx). We found that miR-485-5p over-expression causes a reduction in BACE1 protein concentrations (Figure 2b). Our results indicate that miRNA-binding sites in the coding parts of mRNAs may still be functional and further suggest the possibility of in vivo interactions between miR-485-5p and mature BACE1 mRNA.
Locked nucleic acid-antimiR blocks miR-485-5p effects on BACE1 protein
To test the specificity of the reduction of BACE1 and to further validate the miR-485-5p target site in the coding region of BACE1, we applied a synthetic locked nucleic acid (LNA)-antimiR molecule to block the miRNA binding. Such antimiRs are synthetic, LNA-modified RNA molecules with sequence complementary to the mature miRNA. As expected, over-expression of miR-485-5p reduced the BACE1 protein levels and this reduction was blocked by application of LNA-antimiR-485-5p (Figure 3a). We observed that the LNA-antimiR increased BACE1 protein levels in our EFC reporter assay, which may possibly be explained by inhibition of endogenous miR-485-5p. The reversal of mir-485-5p-mediated BACE1 protein reduction by LNA-antimiR indicates the specificity of the miRNA effect and further validates the miR-485-5p binding site in the coding region of BACE1 mRNA.
Noncoding RNAs compete for binding sites
Considering that BACE1-AS and miR-485-5p share potential binding sites in the BACE1 mRNA, we aimed to check the possible counteraction of these two ncRNA transcripts. If these two ncRNAs can compete for binding sites, then simultaneous over-expression should block the effect of miR-485-5p. Indeed, we noted that over-expression of BACE1-AS eliminated the effects of miR-485-5p and returned the BACE1 protein to basal levels (Figure 3b). We previously showed that over-expression of BACE1-AS caused an increase in BACE1 protein level and we were able to reproduce these data, using our in vitro EFC assay. On the other hand, we observed that miR-485-5p over-expression reduced the BACE1 protein levels. Simultaneous over-expression of both BACE1-AS and miR-485-5p returned the BACE1 protein level to the basal level. These data imply that miR-485-5p and BACE1-AS may compete for binding to BACE1 mRNA and support the novel regulatory role of masking a miRNA-binding site in BACE1 by the non-coding BACE1-AS transcript. This proposed miRNA masking effect is in concert with the concordant antisense regulatory action of BACE1-AS.
Expression of miR-485-5p, BACE1 and BACE1-AS in different brain regions
To confirm the expression of BACE1, BACE1-AS and miR-485-5p in brain and other human tissues, we performed real-time PCR (RT-PCR) on RNA samples from human and mouse. We observed that miR-485-5p is present and significantly higher in brain compared to other regions (Figure 4a). BACE1 and BACE1-AS transcripts showed ubiquitous expression patterns with minimal variation among different tissues. Similar results were observed in mouse tissues and various regions of mouse brain showed high expression of miR-485-5p, BACE1 and BACE1-AS transcripts (Figure 4b). The high concentration of miR-485-5p and BACE1-AS in the brain regions suggests the likelihood of their functional interaction with the BACE1 mRNA target site, and involvement in BACE1 regulation.
Next, we examined the expression of BACE1, BACE1-AS and miR-485-5p in four brain regions from human control subjects (Figure 4c). These RNA samples originated from post-mortem brains of 35 elderly individuals with an average age of 72.3 years (range 53 to 91 years) who had passed away from causes other than Alzheimer's disease. Although not all regions were available from all cases, we examined RNAs from cerebellum (18 subjects), entorhinal cortex (8 subjects), hippocampus (12 subjects) and superior frontal gyrus (18 subjects). Unlike BACE1-AS, miR-485-5p was two- to four-fold higher in entorhinal cortex, hippocampus and superior frontal gyrus compared to cerebellum. BACE1-AS transcript was expressed two- to three-fold lower in similar regions compared to cerebellum. It is worth noting that the transcript expression data represent the relative quantity of each RNA transcript to that of reference tissue (brain in Figure 4a, and cerebellum in Figure 4b, c). Therefore, these data do not directly support the conclusion that expression of miR-485-5p represses BACE1 transcript levels and that BACE1-AS expression enhances BACE1 transcript levels. Nevertheless, the relatively high expression of miR-485-5p and BACE1-AS in brain regions that are affected by Alzheimer's disease pathology may suggest a role for these ncRNAs in Alzheimer's disease-related pathogenesis.
miR-485-5p expression as studied by high-throughput sequencing
We also examined the abundance of miR-485-5p in various human tissues by next generation sequencing of the small RNA fraction, using the Illumina Genome analyzer. Two individuals were used for sequence profiling of the small RNA fraction and identification of known miRNAs from a set of eight tissues. We found that the number of normalized reads for miR-485-5p was significantly higher in the orbital gyrus from brain compared to skeletal muscle, pancreas, lung, heart, liver, spleen and kidney (Figure 4d). The raw read count for miR-485-5p differed between the two individuals as follows: pancreas, 1.5%; lung, 1.6%; skeletal muscle, 1.5%; heart, 1.25%; brain, 1.4%; liver, 3.5%; spleen, 8.6%; and kidney (only one sample). The normalized reads from deep sequencing experiments provide absolute quantities, in contrast to relative quantity values obtained from RT-PCR methods. Therefore, the high expression of miR-485-5p in orbital gyrus of brain revealed by deep sequencing data confirms our RT-PCR findings. Moreover, the substantial abundance of miR-485-5p in the brain, compared to other tissues, suggests a neuronal-related function, and by reason of co-expression, increases the likelihood of involvement in BACE1 regulation.
Expression of BACE1, BACE1-AS and miR-485-5p in Alzheimer's disease
We previously showed that the BACE1-AS transcript is significantly up-regulated in several brain regions of subjects with Alzheimer's disease. We measured the expression of BACE1, BACE1-AS and miR-485-5p in two different sets of RNA samples from control subjects and individuals with Alzheimer's disease. Initially, we examined the parietal lobe and cerebellum of 5 subjects with Alzheimer's disease and 5 normal elderly individuals (20 samples total). BACE1-AS, and to a lesser degree BACE1, transcripts were up-regulated in Alzheimer's disease patients compared to control individuals and miR-485-5p was down-regulated by 30% in parietal lobe and close to 60% in cerebellum of Alzheimer's disease patients (Figure 5a).
We have also examined a second set of RNA samples from 35 Alzheimer's disease and 35 control individuals (Figure 5b). Although not all regions were available from all cases, we examined RNA from cerebellum (18 control and 23 Alzheimer's disease subjects), entorhinal cortex (8 control and 11 Alzheimer's disease subjects), hippocampus (12 control and 12 Alzheimer's disease subjects) and superior frontal gyrus (18 control and 18 Alzheimer's disease subjects). Consistent with our previous work, BACE1-AS transcript concentrations were up-regulated in all four regions tested. To a lesser degree, BACE1 transcripts were up-regulated in entorhinal cortex as well as in superior frontal gyrus. On the other hand, miR-485-5p was significantly reduced in entorhinal cortex and hippocampus. However, miR-485-5p was not significantly altered in cerebellum and superior frontal gyrus (Figure 5b). The difference between miR-485-5p expressions in cerebellum of the two sets of RNA samples can conceivably be explained by the relatively high variability among human samples. Considering the increased level of BACE1-AS and reduction of miR-485-5p in the brain of Alzheimer's disease subjects, we postulated that dysregulation of these two ncRNAs might cause increases in BACE1 mRNA as well as the removal of the miRNA brake on BACE1 mRNA and protein expression.
miRNA binding site enrichment in non-overlapping regions of sense-antisense pairs
Our data suggest an interaction between two classes of ncRNAs in the regulation of BACE1 gene expression. We sought to determine the extent of this computational regulatory mechanism as a general theme in the human genome. We selected a set of evolutionarily conserved sense-antisense pairs, previously published as complex loci in human and mouse genomes . Predicted miRNA binding sites within pairing (sense-antisense overlapping) regions and non-pairing (non-overlapping) regions were counted and are listed in Additional file 1. In summary, among 894 sense-antisense pairs included in this study, 391 (43.7%) contain a sense-antisense overlapping region equal to or more than 25 nucleotides, which were selected for further miRNA binding-site scanning. A total of 18,704 predicted miRNA binding sites were identified in the sense-antisense pairing regions, spanning 358,663 nucleotides. In non-pairing regions, 111,192 miRNA binding sites were predicted across 1,570,606 nucleotides. After normalization of the predicted miRNA targets over sequence lengths, the miRNA binding sites within sense-antisense pairing regions ranged from 0 to 0.18790 miRNAs per nucleotide, with an interquartile range of 0.01398 to 0.08620, and a median value of 0.04780 miRNAs per nucleotide. The miRNA binding sites within non-pairing regions range from 0 to 0.2173, with an interquartile range of 0.03350 to 0.10020, and median value of 0.06490 miRNAs per nucleotide. There are more predicted miRNA binding sites in non-overlapping regions of the sense-antisense pairs compared to overlapping regions (P-value < 0.0001, Wilcoxon test). On average (mean), each 100 nucleotides of overlapping region have 5.21 miRNA binding sites, while each 100 nucleotides of non-overlapping region have 7.07 miRNA binding sites (Figure 6). This result was corroborated by our randomization test (P-value < 0.0001), in which 1,000 Monte Carlo randomizations with shuffled sequences were carried out. Our result indicates an evolutionary selection against miRNA binding to the pairing region. These findings suggest that overlapping regions between sense and antisense RNA transcripts are functional regulatory elements per se, and that sense-antisense RNA duplex formation may prevent miRNA binding. Therefore, there might be a selection to avoid a clash of two regulatory elements in one particular region.
Normal physiological levels of BACE1 protein are essential for proper cognitive, emotional and synaptic function , and for myelination of peripheral nerves [19, 20]. On the other hand, elevation of BACE1 protein might cause overproduction of amyloid peptides, such as amyloid-β 1-42 (Aβ1-42) and Aβ1-40. Imbalance between production and clearance of Aβ1-42 could potentially lead to the cascade of amyloid precursor protein cleavage, amyloid plaque formation, and the synaptic disruption characteristic of early Alzheimer's disease. The levels of BACE1 therefore require tight regulation to maintain a narrow window between essential and pathological expression of BACE1. Sequential cleavage of amyloid precursor protein by BACE-1 and γ-secretase represents a central event in Alzheimer's disease pathophysiology, and both proteases serve as potential targets for development of novel therapeutics for Alzheimer's disease . Thus, understanding the mechanisms of BACE1 regulation may reveal important insights into the etiology of Alzheimer's disease, and also facilitate the development of novel therapeutics and/or biomarkers of the disease [22–25].
We have previously demonstrated that BACE1-AS enhances the stability of the BACE1 sense transcript . In this study, we show an additional, synergistic mechanism by which BACE1-AS regulates its sense partner, namely by preventing miRNA-induced mRNA decay and translational repression. Specifically, miR-485-5p and BACE1-AS likely share a common binding site in the sixth exon of the BACE1 mRNA transcript. Therefore, interactions between either one of these two ncRNAs and BACE1 mRNA would establish a finely tuned regulation of BACE1 protein production. Destabilization of mRNA after miRNA binding has been previously suggested . We hypothesized that one mechanism by which BACE1-AS regulates BACE1 mRNA stability involves the 'masking' of a miR-485-5p binding site. Hence, the translational repression and destabilization of BACE1 mRNA by miR-485-5p is less likely to occur in the presence of the BACE1-AS transcript. Nonetheless, both proposed actions of BACE1-AS, promoting target mRNA stability by duplex formation and inhibiting miRNA-induced mRNA decay and translational repression, serve to elevate BACE1 concentrations.
Alzheimer's disease patients demonstrate increased expression of BACE1 mRNA and generation of Aβ1-42 compared with unaffected controls [26–30]. Our data suggest that BACE1-AS and miR-485-5p are both highly expressed in the nervous system. The dysregulation of these two ncRNA transcripts may induce Alzheimer's disease-related BACE1 upregulation by stabilizing the BACE1 transcript and by blocking miRNA-induced translational repression. Interplay between these ncRNAs might be crucial for neuronal cells to maintain a precise physiological BACE1 homeostasis involving post-transcriptional regulatory mechanisms.
Disruption of miRNA binding sites by the presence of SNPs in the 3' UTRs of mammalian genes has been clearly documented [31–35]. Variants in the binding site for miR-189 in the 3' UTR region of the SLITRK1 gene are associated with Tourette's syndrome . Synonymous mutations in regulatory regions of mRNAs could create or destroy a putative miRNA binding site, therefore changing the protein output of specific transcripts . The SNP in the 3' UTR of the myostatin gene (GDF8) that creates a target site for miR-1 and miR-206 contributes to the muscular hypertrophy of Texel sheep . Additionally, the variant allele in a KRAS mRNA, associated with a Let-7 miRNA complementary site, is significantly linked with an increased risk for lung carcinoma . A functional SNP at a miRNA binding site (miRSNP) in the 3' UTR of dihydrofolate reductase interferes with miR-24 function and leads to dihydrofolate reductase over-expression and methotrexate resistance [33, 34]. These examples point to the fact that any interference between miRNAs and their binding sites would have regulatory consequences. We argue here that cytoplasmic natural antisense transcripts bind to sense mRNA and 'mask' miRNA binding sites. We think that the cytoplasmic sense-antisense RNA duplex formation is transient and reversible, as a stress response would require; therefore, interactions between sense mRNA, antisense transcript and miRNA might determine the level of protein production. In line with this hypothesis, we present evidence to show in vitro competition between miR-485-5p and BACE1-AS for binding to BACE1 mRNA. This novel masking function for the antisense RNA may apply to many other natural antisense transcripts.
The effect of miR-485-5p on BACE1 may demonstrate a non-canonical miRNA target site in the coding region of a mammalian mRNA, overlapping with the site of sense-antisense duplex formation. In contrast with plant miRNAs, most animal miRNAs are predicted to have their binding site in 3' UTR of target mRNA . Although most web prediction tools for miRNA binding sites are designed to search only for 3' UTR regions of transcripts, there is no evidence against miRNA binding to the coding region. Binding of miRNA to the coding region of mRNAs, or even the 5' UTR, has been shown in plants and recently in animals [37–40]. Our results further suggest that miRNA association with any position on a target mRNA is mechanistically sufficient for binding.
In our bioinformatics study, we showed that miRNAs are predicted to target the non-overlapping region of sense-antisense RNA transcripts, outside of the genomic regions that have the potential to form sense-antisense duplex formation. This strategy might be beneficial from an evolutionary point of view, enabling the antisense sequences and the miRNAs to exert fine-tuned regulatory roles through targeting different sites on the same target mRNAs. The fact that there are fewer predicted miRNA binding sites in the overlapping region of natural antisense transcripts suggests that gene regulation, for both RNA species, takes place by ncRNA-mRNA nucleotide complementarities, and further suggests that both groups are functional regulatory elements. In this context, competition between these two regulatory elements, as in the case of BACE1-AS and miR-485-5p, are exceptions that would allow a more complex type of regulation. This complex regulatory architecture, combined with its evolutionary conservation, suggests a profound biological importance for the BACE1-AS-mediated stress response, including a biological function for the transient increase in Aβ levels that occur as a result of the regulatory action of these ncRNAs.
In fact, the stress response of the BACE1 sense-antisense locus involves additional elements of complexity . In contrast to the BACE1 sense transcript, the BACE1-AS transcript shows a pronounced nuclear enrichment pattern, similar to other nuclear-enriched ncRNA transcripts . We previously documented that the stress responsive BACE1-AS transcript shifts into the cytosol upon exposure to neuronal stress, contributing to a rapid but reversible increase of BACE1 protein, and Aβ production . Emerging data suggest that miRNAs and NATs are both instrumental in a variety of stress responses [42, 43]. A synergy between these two classes of ncRNAs as we have hypothesized here is an intriguing possibility that would significantly increase the regulatory power of these families of ncRNAs within the context of a larger ncRNA sensory and regulatory network . These mechanisms, together with the unusual but specific response of the BACE1 system to stress, may explain some aspects of Alzheimer's disease and other neuropathologies related to chronic stress response.
Different cell stressors, such as hypoxia, re-oxygenation, oxidative stress and some pro-apoptotic factors, have long been implicated in the pathogenesis of Alzheimer's disease. These stressors are known to enhance BACE1 activity and Aβ1-42 production, which likely contributes to Alzheimer's disease pathophysiology [45, 46]. Also, there is considerable evidence that Aβ1-42 itself is a potent cell stressor [47–49]. Further, Aβ1-42 enhances BACE1 mRNA and protein activity, and can thereby cause damage to neurons through various cell-stress-related mechanisms . We have recently shown that a variety of cell stressors can increase BACE1-AS and BACE1 expression, therefore enhancing Aβ1-42 biosynthesis . Since BACE1-AS regulates BACE1 in vivo, we propose that the elevation of BACE1-AS as a result of the actions of Alzheimer's disease-related cell stressors forms a basis of a deleterious feed-forward cycle of disease progression. This deleterious effect of BACE1-AS may, at least in part, come from the ability of this transcript to mask a miR-485-5p binding site. The increase in BACE1 protein by removing the negative effect of miRNAs might then contribute to enhanced Aβ1-42 formation and formation of amyloid plaques. It should be noted that Aβ1-42 accumulation in the Alzheimer's disease brain is a long-lasting and chronic process and that even small changes in BACE1 activity may lead to a significant increase in amyloid deposition over time [50, 51].
Our data demonstrate a potential competition between two different classes of ncRNAs. We present evidence to show that miR-485-5p and BACE1-AS transcripts compete for a binding site in the sixth exonic region of BACE1 mRNA. We show that the expression of BACE1-AS as well as miR-485-5p is dysregulated in RNA samples from Alzheimer's disease subjects compared to age and sex matched control individuals. Moreover, we show that over-expression of miR-485-5p and BACE1-AS has opposing regulatory effects on BACE1 protein expression. These data, along with our previous findings, indicate a ncRNA regulatory network exerting control over the expression of BACE1 and further provide an additional mechanism of NAT-mediated regulation of BACE1 mRNA. Our findings thus support the existence of ncRNA-containing regulatory networks that may be implicated in Alzheimer's disease pathophysiology.
Materials and methods
RT-PCR was carried out with the GeneAmp 7900 machine (Applied Biosystems, Foster City, CA, USA). The primers and probe for miR-485-5p were bought from Applied Biosystems. The primers and probe for BACE1 and BACE1-AS were previously reported . The PCR conditions were as follows: 50°C for 2 minutes then 95°C for 10 minutes then 40 cycles of 95°C for 15 s and 60°C for 1 minute. The results are based on cycle threshold (Ct) values. Differences between the Ct values for experimental and reference genes (Human beta-actin or U6 small RNA) were calculated as ΔΔCt.
Sequencing was carried out on RNA from two individuals for eight tissues, pancreas, lung, heart, skeletal muscle, brain, liver, spleen and kidney (kidney had only one sample). Sequencing was carried out using the Illumina genome analyzer. Small RNA libraries were prepared and 36 cycle sequencing carried out according to the manufacturer's instructions. Briefly, total RNA was fractionated and the 18-35 nucleotide fraction isolated. RNA adapters were ligated to the 3' and 5' ends of the samples and used for cDNA synthesis. Libraries were sequenced on the genome analyzer (Illumina, San Diego, CA, USA) and the sequences analyzed using miRanalyzer . The number of unique reads for miR-485-5p were counted for each tissue and normalized to the total number of reads. The short read sequence data were submitted to the Sequence Read Archive at the National Center for Biotechnology Information; the submission number is SRA012516.1 and is freely available.
Cell culture and transfection
HEK293T cells were cultured in DMEM plus 10% fetal bovine serum and transfected with BACE1-AS, miR-485-5p, other miRNAs or empty vectors.
All experiments were performed with at least three to six biological and technical repeats. Beta-galactosidase and luciferase studies were performed in 96-well plates with at least 24 replicates for each treatment. The data are presented in graphs as a comparison with controls, after post hoc test of treatment factor using main effect in two-way analysis of variance (ANOVA). Alternatively, an unpaired t-test with Welch correction was used to calculate significance of the differences. The significance of each treatment was calculated as a P-value and is reported in the legend of each figure; P < 0.05 was considered significant.
Enzyme complementation assay (DiscoveRx)
ECA is a technology developed by DiscoveRx (Fremont, CA, USA) that allows the measurement of changes in protein levels. The cDNA of BACE1 was cloned into pCMV-ProLabel vector upstream of the ProLabel and transfected into HEK293T cells to produce a fusion protein (BACE1 and the enzyme donor fragment) expressed in a stable cell line we call C3. When the two fragments (enzyme donor and enzyme acceptor) of the β-galactosidase combine in solution, the enzyme becomes active and hydrolyzes a substrate that produces a chemiluminescent signal. The strength of this signal is proportional to the protein being produced (in this case BACE1). The stable cell line C3 over-expressing BACE1 was transfected with BACE1-AS over-expression vector, miRNA over-expression vector or control vectors and protein expression measured 48 hours later with the DiscoveRx method; data are plotted as a percentile of control vector.
Luciferase and miR-485-5p over-expression experiments
The predicted target site of miR-485-5p on BACE1 mRNA was engineered into the 3' UTR of a firefly luciferase construct; as a positive control we used a perfect match to miR-485-5p, and as a negative control we used a scrambled target site inserted downstream of firefly luciferase. LNA-antimiR for miR-485-5p was purchased from Exiqon (Exiqon, Vedbaek, Denmark) and transfected at 10 nM concentration. The firefly luciferase construct along with a renilla luciferase construct (Prltk, Promega, WI, USA) and miRNA over-expression vectors were transfected into HEK293T cells in 96-well plates. Luciferase activity was assessed 48 hours later and firefly luciferase expression normalized to the renilla and graphed as a percent of controls. Alternatively, miRNA over-expression vectors (with pre-miRNA constructed into the pMSCV vector; kindly provided by Dr Corinne Lasmezas) - miR-485, miR-219 as a control or empty vector - were transfected into the HEK293T C3 cell line (ProLabel, DiscoveRx) and protein quantification was performed using DiscoveRx technology.
The first set of human brain samples was prepared at the USC Alzheimer's Disease Research Center, which obtained informed consent from all subjects; the USC Institutional Review Board then approved the use of the human tissues. RNA was extracted from parietal lobes and cerebellum of postmortem brains from five subjects with Alzheimer's disease and five matched controls. The average age of subjects with Alzheimer's disease was 85 years (range 75 to 92 years) and 91.8 years (90 to 95 years) for controls. The postmortem interval ranged from 3.75 to 10.1 h with a mean of 5.87 h. We treated RNA samples with DNase and purified them with RNeasy mini columns (QIAGEN Valencia, CA, USA). We prepared cDNA from 400 ng of RNA samples and used RT-PCR for relative quantification of different transcripts.
The second set of human brain samples and the tissues used for deep sequencing were prepared from rapid autopsy brain tissue and were collected by J Rogers and T Beach (Sun Health Research Institute); all enrolled subjects or legal representatives had signed a Sun Health Research Institutional Review Board-approved informed consent form allowing both clinical assessments during life and several options for brain and bodily organ donation after death. These cases included 35 autopsy confirmed cases of Alzheimer's disease with an average age of 81.8 years (range 64 to 92 years) and 35 controls with an average age of 72.3 years (range 53 to 91 years). The postmortem interval ranged from 1.25 to 5 h with a mean of 2.5 h. The average duration of disease in the subjects with Alzheimer's disease was 9.2 years. Total RNA was isolated via CsCl purification from tissue dissected from specific regions of brain. Although not all regions were available from all cases, we examined a total of 120 RNA samples from superior frontal gyrus, entorhinal cortex, hippocampus and cerebellum for BACE1, BACE1-AS and miR-485-5p expression by RT-PCR.
A panel of total RNA from human tissues was bought from Applied Biosystems and used for expression profiling of BACE1, BACE1-AS and miR-485-5p.
Bioinformatics detection of miRNA binding sites
Published human miRNA sequences were retrieved from the miRBase database . A list of 993 evolutionarily conserved natural antisense transcripts was retrieved from the previously published FANTOM-3 dataset . Out of this list, 99 pairs were deleted from any analyses described in this study, as we could not verify that they indeed qualify as sense-antisense pairs. miRNAs were screened in the sense-antisense RNA overlapping and non-overlapping regions, respectively. The BLAST program  was used to obtain the overlapping and non-overlapping regions of each sense-antisense pair. Then, the miRanda algorithm  was used for miRNA binding-site predictions. The numbers of predicted miRNAs within sense-antisense pairing regions and non-pairing regions were normalized to sequence length. Wilcoxon two-sided test was computed in R to compare the difference in predicted miRNA binding sites within sense-antisense pairing and non-pairing regions. In the randomization test, all sequences derived from the pairing and non-pairing regions were shuffled and sequences were randomly selected to create two data sets to represent the simulated pairing and non-pairing region data, respectively. The numbers of sequences included in the simulated data sets were equal to those in the real data sets. Wilcoxon two-sided test was used to compare the predicted miRNAs between the simulated pairing and non-paring data sets. The randomization procedure was repeated 1,000 times. We calculated the number of times (x) that the Wilcoxon P-value/W values in the randomizations are smaller than those from the real data sets. The P-value of the randomization is x/1,000. The statistically significant difference cut-off was 0.05.
- BACE1 :
enzyme fragment complementation
hypoxia inducible factor
locked nucleic acid
natural antisense transcript
single nucleotide polymorphism
Carninci P, Kasukawa T, Katayama S, Gough J, Frith MC, Maeda N, Oyama R, Ravasi T, Lenhard B, Wells C, Kodzius R, Shimokawa K, Bajic VB, Brenner SE, Batalov S, Forrest AR, Zavolan M, Davis MJ, Wilming LG, Aidinis V, Allen JE, Ambesi-Impiombato A, Apweiler R, Aturaliya RN, Bailey TL, Bansal M, Baxter L, Beisel KW, Bersano T, Bono H, et al: The transcriptional landscape of the mammalian genome. Science. 2005, 309: 1559-1563. 10.1126/science.1112014.
Kapranov P, Drenkow J, Cheng J, Long J, Helt G, Dike S, Gingeras TR: Examples of the complex architecture of the human transcriptome revealed by RACE and high-density tiling arrays. Genome Res. 2005, 15: 987-997. 10.1101/gr.3455305.
Gustincich S, Sandelin A, Plessy C, Katayama S, Simone R, Lazarevic D, Hayashizaki Y, Carninci P: The complexity of the mammalian transcriptome. J Physiol. 2006, 575: 321-332. 10.1113/jphysiol.2006.115568.
Mehler MF, Mattick JS: Non-coding RNA in the nervous system. J Physiol. 2006, 575: 333-341. 10.1113/jphysiol.2006.113191.
Faghihi MA, Wahlestedt C: RNA interference is not involved in natural antisense mediated regulation of gene expression in mammals. Genome Biol. 2006, 7: R38-10.1186/gb-2006-7-5-r38.
Mattick JS, Makunin IV: Non-coding RNA. Hum Mol Genet. 2006, R17-29. 10.1093/hmg/ddl046. 15 Spec No 1
Wahlestedt C: Natural antisense and noncoding RNA transcripts as potential drug targets. Drug Discov Today. 2006, 11: 503-508. 10.1016/j.drudis.2006.04.013.
Katayama S, Tomaru Y, Kasukawa T, Waki K, Nakanishi M, Nakamura M, Nishida H, Yap CC, Suzuki M, Kawai J, Suzuki H, Carninci P, Hayashizaki Y, Wells C, Frith M, Ravasi T, Pang KC, Hallinan J, Mattick J, Hume DA, Lipovich L, Batalov S, Engstrom PG, Mizuno Y, Faghihi MA, Sandelin A, Chalk AM, Mottagui-Tabar S, Liang Z, Lenhard B, et al: Antisense transcription in the mammalian transcriptome. Science. 2005, 309: 1564-1566. 10.1126/science.1112009.
Engstrom PG, Suzuki H, Ninomiya N, Akalin A, Sessa L, Lavorgna G, Brozzi A, Luzi L, Tan SL, Yang L, Kunarso G, Ng EL, Batalov S, Wahlestedt C, Kai C, Kawai J, Carninci P, Hayashizaki Y, Wells C, Bajic VB, Orlando V, Reid JF, Lenhard B, Lipovich L: Complex Loci in human and mouse genomes. PLoS Genet. 2006, 2: e47-10.1371/journal.pgen.0020047.
Faghihi MA, Modarresi F, Khalil AM, Wood DE, Sahagan BG, Morgan TE, Finch CE, St Laurent G, Kenny PJ, Wahlestedt C: Expression of a noncoding RNA is elevated in Alzheimer's disease and drives rapid feed-forward regulation of beta-secretase. Nat Med. 2008, 14: 723-730. 10.1038/nm1784.
Uchida T, Rossignol F, Matthay MA, Mounier R, Couette S, Clottes E, Clerici C: Prolonged hypoxia differentially regulates hypoxia-inducible factor (HIF)-1alpha and HIF-2alpha expression in lung epithelial cells: implication of natural antisense HIF-1alpha. J Biol Chem. 2004, 279: 14871-14878. 10.1074/jbc.M400461200.
Cayre A, Rossignol F, Clottes E, Penault-Llorca F: aHIF but not HIF-1alpha transcript is a poor prognostic marker in human breast cancer. Breast Cancer Res. 2003, 5: R223-230. 10.1186/bcr652.
Rossignol F, Vache C, Clottes E: Natural antisense transcripts of hypoxia-inducible factor 1alpha are detected in different normal and tumour human tissues. Gene. 2002, 299: 135-140. 10.1016/S0378-1119(02)01049-1.
Rossignol F, de Laplanche E, Mounier R, Bonnefont J, Cayre A, Godinot C, Simonnet H, Clottes E: Natural antisense transcripts of HIF-1alpha are conserved in rodents. Gene. 2004, 339: 121-130. 10.1016/j.gene.2004.06.029.
Capaccioli S, Quattrone A, Schiavone N, Calastretti A, Copreni E, Bevilacqua A, Canti G, Gong L, Morelli S, Nicolin A: A bcl-2/IgH antisense transcript deregulates bcl-2 gene expression in human follicular lymphoma t(14;18) cell lines. Oncogene. 1996, 13: 105-115.
Leung AK, Sharp PA: Function and localization of microRNAs in mammalian cells. Cold Spring Harb Symp Quant Biol. 2006, 71: 29-38. 10.1101/sqb.2006.71.049.
Bartel DP: MicroRNAs: target recognition and regulatory functions. Cell. 2009, 136: 215-233. 10.1016/j.cell.2009.01.002.
Laird FM, Cai H, Savonenko AV, Farah MH, He K, Melnikova T, Wen H, Chiang HC, Xu G, Koliatsos VE, Borchelt DR, Price DL, Lee HK, Wong PC: BACE1, a major determinant of selective vulnerability of the brain to amyloid-beta amyloidogenesis, is essential for cognitive, emotional, and synaptic functions. J Neurosci. 2005, 25: 11693-11709. 10.1523/JNEUROSCI.2766-05.2005.
Hu X, Hicks CW, He W, Wong P, Macklin WB, Trapp BD, Yan R: Bace1 modulates myelination in the central and peripheral nervous system. Nat Neurosci. 2006, 9: 1520-1525. 10.1038/nn1797.
Willem M, Garratt AN, Novak B, Citron M, Kaufmann S, Rittger A, DeStrooper B, Saftig P, Birchmeier C, Haass C: Control of peripheral nerve myelination by the beta-secretase BACE1. Science. 2006, 314: 664-666. 10.1126/science.1132341.
Roberson ED, Mucke L: 100 years and counting: prospects for defeating Alzheimer's disease. Science. 2006, 314: 781-784. 10.1126/science.1132813.
Vassar R: Beta-secretase (BACE) as a drug target for Alzheimer's disease. Adv Drug Deliv Rev. 2002, 54: 1589-1602. 10.1016/S0169-409X(02)00157-6.
Vassar R: The beta-secretase, BACE: a prime drug target for Alzheimer's disease. J Mol Neurosci. 2001, 17: 157-170. 10.1385/JMN:17:2:157.
Ghosh AK, Kumaragurubaran N, Tang J: Recent developments of structure based beta-secretase inhibitors for Alzheimer's disease. Curr Top Med Chem. 2005, 5: 1609-1622. 10.2174/156802605775009711.
Zimmermann M, Gardoni F, Di Luca M: Molecular rationale for the pharmacological treatment of Alzheimer's disease. Drugs Aging. 2005, 22 (Suppl 1): 27-37. 10.2165/00002512-200522001-00003.
Li R, Lindholm K, Yang LB, Yue X, Citron M, Yan R, Beach T, Sue L, Sabbagh M, Cai H, Wong P, Price D, Shen Y: Amyloid beta peptide load is correlated with increased beta-secretase activity in sporadic Alzheimer's disease patients. Proc Natl Acad Sci USA. 2004, 101: 3632-3637. 10.1073/pnas.0205689101.
Holsinger RM, McLean CA, Collins SJ, Masters CL, Evin G: Increased beta-Secretase activity in cerebrospinal fluid of Alzheimer's disease subjects. Ann Neurol. 2004, 55: 898-899. 10.1002/ana.20144.
Fukumoto H, Cheung BS, Hyman BT, Irizarry MC: Beta-secretase protein and activity are increased in the neocortex in Alzheimer disease. Arch Neurol. 2002, 59: 1381-1389. 10.1001/archneur.59.9.1381.
Rossner S, Sastre M, Bourne K, Lichtenthaler SF: Transcriptional and translational regulation of BACE1 expression - implications for Alzheimer's disease. Prog Neurobiol. 2006, 79: 95-111. 10.1016/j.pneurobio.2006.06.001.
Holsinger RM, McLean CA, Beyreuther K, Masters CL, Evin G: Increased expression of the amyloid precursor beta-secretase in Alzheimer's disease. Ann Neurol. 2002, 51: 783-786. 10.1002/ana.10208.
Clop A, Marcq F, Takeda H, Pirottin D, Tordoir X, Bibe B, Bouix J, Caiment F, Elsen JM, Eychenne F, Larzul C, Laville E, Meish F, Milenkovic D, Tobin J, Charlier C, Georges M: A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheep. Nat Genet. 2006, 38: 813-818. 10.1038/ng1810.
Chin LJ, Ratner E, Leng S, Zhai R, Nallur S, Babar I, Muller RU, Straka E, Su L, Burki EA, Crowell RE, Patel R, Kulkarni T, Homer R, Zelterman D, Kidd KK, Zhu Y, Christiani DC, Belinsky SA, Slack FJ, Weidhaas JB: A SNP in a let-7 microRNA complementary site in the KRAS 3' untranslated region increases non-small cell lung cancer risk. Cancer Res. 2008, 68: 8535-8540. 10.1158/0008-5472.CAN-08-2129.
Mishra PJ, Humeniuk R, Longo-Sorbello GS, Banerjee D, Bertino JR: A miR-24 microRNA binding-site polymorphism in dihydrofolate reductase gene leads to methotrexate resistance. Proc Natl Acad Sci USA. 2007, 104: 13513-13518. 10.1073/pnas.0706217104.
Mishra PJ, Banerjee D, Bertino JR: MiRSNPs or MiR-polymorphisms, new players in microRNA mediated regulation of the cell: introducing microRNA pharmacogenomics. Cell Cycle. 2008, 7: 853-858.
Abelson JF, Kwan KY, O'Roak BJ, Baek DY, Stillman AA, Morgan TM, Mathews CA, Pauls DL, Rasin MR, Gunel M, Davis NR, Ercan-Sencicek AG, Guez DH, Spertus JA, Leckman JF, Dure LSt, Kurlan R, Singer HS, Gilbert DL, Farhi A, Louvi A, Lifton RP, Sestan N, State MW: Sequence variants in SLITRK1 are associated with Tourette's syndrome. Science. 2005, 310: 317-320. 10.1126/science.1116502.
Arteaga-Vazquez M, Caballero-Perez J, Vielle-Calzada JP: A family of microRNAs present in plants and animals. Plant Cell. 2006, 18: 3355-3369. 10.1105/tpc.106.044420.
Lytle JR, Yario TA, Steitz JA: Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5' UTR as in the 3' UTR. Proc Natl Acad Sci USA. 2007, 104: 9667-9672. 10.1073/pnas.0703820104.
Rhoades MW, Reinhart BJ, Lim LP, Burge CB, Bartel B, Bartel DP: Prediction of plant microRNA targets. Cell. 2002, 110: 513-520. 10.1016/S0092-8674(02)00863-2.
Forman JJ, Legesse-Miller A, Coller HA: A search for conserved sequences in coding regions reveals that the let-7 microRNA targets Dicer within its coding sequence. Proc Natl Acad Sci USA. 2008, 105: 14879-14884. 10.1073/pnas.0803230105.
Duursma AM, Kedde M, Schrier M, le Sage C, Agami R: miR-148 targets human DNMT3b protein coding region. RNA. 2008, 14: 872-877. 10.1261/rna.972008.
Prasanth KV, Prasanth SG, Xuan Z, Hearn S, Freier SM, Bennett CF, Zhang MQ, Spector DL: Regulating gene expression through RNA nuclear retention. Cell. 2005, 123: 249-263. 10.1016/j.cell.2005.08.033.
Leung AK, Sharp PA: microRNAs: a safeguard against turmoil?. Cell. 2007, 130: 581-585. 10.1016/j.cell.2007.08.010.
Bhattacharyya SN, Habermacher R, Martine U, Closs EI, Filipowicz W: Relief of microRNA-mediated translational repression in human cells subjected to stress. Cell. 2006, 125: 1111-1124. 10.1016/j.cell.2006.04.031.
St Laurent G, Wahlestedt C: Noncoding RNAs: couplers of analog and digital information in nervous system function?. Trends Neurosci. 2007, 30: 612-621. 10.1016/j.tins.2007.10.002.
Borghi R, Patriarca S, Traverso N, Piccini A, Storace D, Garuti A, Cirmena G, Odetti P, Tabaton M: The increased activity of BACE1 correlates with oxidative stress in Alzheimer's disease. Neurobiol Aging. 2007, 28: 1009-1014. 10.1016/j.neurobiolaging.2006.05.004.
Tong Y, Zhou W, Fung V, Christensen MA, Qing H, Sun X, Song W: Oxidative stress potentiates BACE1 gene expression and Abeta generation. J Neural Transm. 2005, 112: 455-469. 10.1007/s00702-004-0255-3.
Tamagno E, Bardini P, Guglielmotto M, Danni O, Tabaton M: The various aggregation states of beta-amyloid 1-42 mediate different effects on oxidative stress, neurodegeneration, and BACE-1 expression. Free Radic Biol Med. 2006, 41: 202-212. 10.1016/j.freeradbiomed.2006.01.021.
Harkany T, Abraham I, Konya C, Nyakas C, Zarandi M, Penke B, Luiten PG: Mechanisms of beta-amyloid neurotoxicity: perspectives of pharmacotherapy. Rev Neurosci. 2000, 11: 329-382.
Yatin SM, Aksenova M, Aksenov M, Markesbery WR, Aulick T, Butterfield DA: Temporal relations among amyloid beta-peptide-induced free-radical oxidative stress, neuronal toxicity, and neuronal defensive responses. J Mol Neurosci. 1998, 11: 183-197. 10.1385/JMN:11:3:183.
Li Y, Zhou W, Tong Y, He G, Song W: Control of APP processing and Abeta generation level by BACE1 enzymatic activity and transcription. Faseb J. 2006, 20: 285-292. 10.1096/fj.05-4986com.
McConlogue L, Buttini M, Anderson JP, Brigham EF, Chen KS, Freedman SB, Games D, Johnson-Wood K, Lee M, Zeller M, Liu W, Motter R, Sinha S: Partial reduction of BACE1 has dramatic effects on Alzheimer plaque and synaptic pathology in APP transgenic mice. J Biol Chem. 2007, 282: 26326-26334. 10.1074/jbc.M611687200.
Hackenberg M, Sturm M, Langenberger D, Falcon-Perez JM, Aransay AM: miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments. Nucleic Acids Res. 2009, 37: W68-76. 10.1093/nar/gkp347.
Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ: miRBase: tools for microRNA genomics. Nucleic Acids Res. 2008, 36: D154-158. 10.1093/nar/gkm952.
Zhang Z, Schwartz S, Wagner L, Miller W: A greedy algorithm for aligning DNA sequences. J Comput Biol. 2000, 7: 203-214. 10.1089/10665270050081478.
John B, Enright AJ, Aravin A, Tuschl T, Sander C, Marks DS: Human microRNA targets. PLoS Biol. 2004, 2: e363-10.1371/journal.pbio.0020363.
We are grateful to Drs Barbara G Sahagan, Douglas E Wood, Todd E Morgan and Caleb E Finch for providing human brain samples and to Dr Corinne Lasmezas for providing miRNA over-expression vectors. We are also grateful to Dr Jannet Kocerha for technical help and discussion. This research was supported in part by grants from the National Institute of Neurological Disorders and Stroke (NINDS), RO1 NS063974, and from the National Institute of Aging (NIA), 1RC2 AG036596. This research was also supported in part by the Intramural Research Program of the NIA. All authors affirm that there is no conflict of interest that would prejudice the impartiality of this original work.
MAF conceived designed and carried out the experiments, analyzed the data and drafted the manuscript. MZ carried out the Bioinformatics analysis. JH and FM participated in the design of the study and performed some of the experiments. MPVDB, MAN and MRC designed, performed and analyzed the deep sequencing data. GSL participated in experimental design and coordination. CW provided project oversight, conceived the study, and participated in its design and coordination. All authors read and approved the final manuscript.
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Faghihi, M.A., Zhang, M., Huang, J. et al. Evidence for natural antisense transcript-mediated inhibition of microRNA function. Genome Biol 11, R56 (2010). https://doi.org/10.1186/gb-2010-11-5-r56
- Entorhinal Cortex
- Superior Frontal Gyrus
- miRNA Binding Site
- Natural Antisense Transcript
- BACE1 Protein