Antisense-mediated isoform switching of steroid receptor coactivator-1 in the central nucleus of the amygdala of the mouse brain
© Zalachoras et al.; licensee BioMed Central Ltd. 2013
Received: 7 September 2012
Accepted: 26 December 2012
Published: 7 January 2013
Antisense oligonucleotide (AON)-mediated exon skipping is a powerful tool to manipulate gene expression. In the present study we investigated the potential of exon skipping by local injection in the central nucleus of the amygdala (CeA) of the mouse brain. As proof of principle we targeted the splicing of steroid receptor coactivator-1 (SRC-1), a protein involved in nuclear receptor function. This nuclear receptor coregulator exists in two splice variants (SRC-1a and SRC-1e) which display differential distribution and opposing activities in the brain, and whose mRNAs differ in a single SRC-1e specific exon.
For proof of principle of feasibility, we used immunofluorescent stainings to study uptake by different cell types, translocation to the nucleus and potential immunostimulatory effects at different time points after a local injection in the CeA of the mouse brain of a control AON targeting human dystrophin with no targets in the murine brain. To evaluate efficacy we designed an AON targeting the SRC-1e-specific exon and with qPCR analysis we measured the expression ratio of the two splice variants.
We found that AONs were taken up by corticotropin releasing hormone expressing neurons and other cells in the CeA, and translocated into the cell nucleus. Immune responses after AON injection were comparable to those after sterile saline injection. A successful shift of the naturally occurring SRC-1a:SRC-1e expression ratio in favor of SRC-1a was observed, without changes in total SRC-1 expression.
We provide a proof of concept for local neuropharmacological use of exon skipping by manipulating the expression ratio of the two splice variants of SRC-1, which may be used to study nuclear receptor function in specific brain circuits. We established that exon skipping after local injection in the brain is a versatile and useful tool for the manipulation of splice variants for numerous genes that are relevant for brain function.
KeywordsSteroid receptor coactivator-1 Antisense oligonucleotide Exon skipping Glucocorticoid receptor Brain
Alternative splicing in the brain has gained significant attention recently and may be important for a vast number of processes  such as synaptic function  and learning and memory . Examples of alternatively spliced genes include the D2 receptor gene , the corticotropin releasing hormone (CRH) receptor genes  and the cannabinoid receptor genes [5, 6]. A limitation to the study of the roles of the various splice variants in brain function is that very often specific ligands or inhibitors are lacking. Furthermore, transgenic approaches may be both costly and time consuming, and/or depend on viral delivery which may induce immune responses .
Single stranded DNA or RNA antisense oligonucleotides (AONs) that target RNA transcripts can be used to manipulate gene expression in different manners. DNA:RNA or RNA:RNA hybrids can be cleaved by RNase H resulting in knockdown of gene expression. A similar effect can be achieved via steric hindrance of the ribosomal complex by an AON resulting in mRNA translation arrest and blocking of protein expression . A third mechanism involves the hybridization of an AON to intronic/exonic inclusion sequences of primary RNA transcripts, thus rendering specific exons inaccessible to the splicing machinery and leading to skipping of the exon . In a similar fashion, AONs can hybridize to intronic/exonic exon exclusion sequences and result in inclusion of target exons [7, 10].
To date, modulation of splicing by AONs has been used as a potential treatment approach for several diseases, including Duchenne muscular dystrophy (DMD) and models of spinal muscular atrophy (SMA) [10–12]. Effective protein restoration in DMD via exon skipping has been shown in patient derived cell cultures, animal models, (reviewed in  and even in clinical trials [13, 14]. Similar results have been obtained in SMA via the related mechanism of exon inclusion [10, 15–17].
We targeted exon 22 of the SRC-1 gene (Figure 1) using AONs, examined their cellular uptake by different cell types, exon skipping efficacy over time and potential immunostimulatory effects. For cellular uptake and potential immunostimulatory effects we used an AON targeting human dystrophin that has no known targets in the murine genome, in order to investigate the target-independent physico-chemical properties of 2-O’-methyl modified phosphorothioate oligonucleotides. Our results showed adequate uptake by cells in the CeA and translocation into the cell nucleus, combined with detectable isoform switching until at least 7 days after a single injection and a practically complete lack of immunostimulatory effects compared with vehicle injection.
In order to determine the stability of AONs in the brain after local injection we measured the intensity of the green fluorescence originating from the fluorophore conjugated to AONs in the brains of animals sacrificed 1, 3, 5, 7 and 14 days after a single injection with an AON targeting human dystrophin. Fluorescence intensity did not differ significantly between 1 and 3 days but subsequently decreased over time to less than 50% in 7 days (Figure 2E). After 7 days, fluorescence intensity remained stable until the last detection time point, 14 days post-injection. In these calculations only green signal colocalized with Hoechst (cell nuclei) was taken into account, thus restricting our analysis to a functionally relevant subcellular compartment.
Diffusion of AONs
Diffusion of the AONs in the brain in the mediolateral, dorsoventral and anterior-posterior axes
Mean mediolateral diffusion
Mean dorsoventral diffusion
Mean anterior-posterior diffusion
Maximum mediolateral diffusion
Maximum dorsoventral diffusion
In this study, we investigated the efficacy in AON-mediated isoform switching, AON uptake by different cellular types and the putative immunostimulatory effects of AONs, in order to evaluate their potential use as a tool in experimental brain research.
Our results showed that it is possible to alter the expression ratio of the two SRC-1 isoforms with a single injection of AONs targeting exon 22 of the transcript of SRC-1e. Three days after the injection the isoform expression ratio showed a 2-fold increase in favor of SRC-1a, whereas 7 days after a single injection of AONs the respective difference was approximately 1.5-fold in favor of SRC-1a. In order to confirm that this was a genuine effect and was not influenced by downregulation of total SRC-1 we also investigated total SRC-1 expression in the two groups, which was shown to be comparable and not significantly different at both time points. We also investigated the expression of GR to control for possible differences as a consequence of off-target non-homologous binding of the AONs. We selected GR as an additional control, because SRC-1 is involved in GR-dependent pathways. Our results showed that GR mRNA expression is not significantly different between animals injected with either an AON targeting SRC-1e or a control AON 3 or 7 days after a single injection. This finding indicates no difference in non-homologous targeting between the specifically targeted and the control AONs and is also relevant for future experiments attempting to unravel the role of SRC-1 and its isoforms in GR dependent pathways as any effects can be attributed solely to SRC-1 isoform switching. Since SRC-2 has been shown to be upregulated in the absence of SRC-1 during development , we investigated its expression 3 days after injection in order to rule out an effect of SRC-1 isoform switching on SRC-2 expression. We did not find SRC-2 upregulation, which is in line with the absence of effects on total SRC-1. Although a larger-scale transcriptome and/or proteome analysis would be necessary to investigate all potential off-target effects of the AONs used in this study , our results from total SRC-1, SRC-2 and GR mRNA expression indicate high specificity. In addition, since AONs do not obligatorily interfere with endogenous pathways, unlike siRNAs, they cannot saturate the cellular miRNA machinery , thus avoiding a source of off-target effects.
Regarding the effect size of the AONs’ efficacy, it is important to note that the dissected area, particularly at longer distances from the injection site may contain cells that did not take up AONs. For the group treated with AONs against SRC-1e that would mean a dilution of the effect. Therefore, the actual efficacy of exon skipping could well be higher than observed.
The detection of isoform switching 7 days after a single injection of AONs allows animals sufficient time for post-operational recovery and performance of additional experiments, for instance, behavioral experiments. In addition, we were able to detect fluorescence of AONs up to 14 days after injection, which is probably accompanied by isoform switching to some extent, although the decrease of the expression ratio of the two isoforms between 3 and 7 days indicates that the effect size may decrease over time. If longer lasting effects are required, potential solutions may involve higher doses and repeated or continuous administration . Persisting effects have been shown even 6 months after termination of continuous infusion of AONs for 7 days in the ventricles of the brain , and even single administration may have long-lasting effects .
Astrocytosis and microglia activation may confound any findings in relation to brain function. We found no differences in the immune responses caused by a single injection of AONs or a single injection of sterile saline 3 or 7 days after the injections. The time course of astrocytosis and microgliosis that we observed both in vehicle and AON treated animals was similar to what has been previously reported for saline injections . It is unlikely we have reached a plateau in immune responses with saline, since it has been shown in the past that administration of lipopolysaccharide causes substantially stronger immune responses than saline . Immunostimulatory effects that have been observed in other studies may have been caused by the vehicle used , or immune responses elicited by simulation of Toll-Like receptors (TLRs) through the phosphorothioate backbone of the AONs . However, 2-O’-modifications may act as TLR antagonists , which may account for the lack of immune responses in our study (in spite of the high local concentrations of AONs), as well as in others . Hua et al., 2010 reported an upregulation of IBA-1 mRNA expression after continuous infusion for 9 days of 2-O’-Methyl modified AONs but not of 2-O’-Methoxyethyl AONs compared to saline. This discrepancy between the current study and the study of Hua et al. may be due to the different experimental setup. The current study used a local single injection of ~1 μg of AONs instead of a continuous ICV administration of 10 μg or more per day for 9 days that induced significant upregulation of IBA-1 in the spinal cord, or 30 μg or more that was necessary to induce significant upregulation of IBA-1 in the brain. Administration of 10 μg of AONs per day was not enough to cause significant IBA-1 upregulation in the brain. Although it is difficult to compare final local concentrations of the two approaches, our results show that we probably remain well within the “safe” range regarding the induction of immune responses. Nevertheless, this indicates that side effects of AON treatment may also depend on design, dose, frequency or delivery of treatment and one should be aware of potential risks .
Before AONs can exert their effect, it is crucial that they cross the cell membrane and the nuclear membrane, since splicing takes place in the nucleus . How AONs are taken up and how they are transported to the nucleus is not known. It has been shown in models of DMD that because of the lack of dystrophin protein, affected muscle cells can more easily take up AONs due to the altered properties of their muscle fiber membranes and a more open endothelium . However, mechanisms of AON uptake by intact neurons in the CNS are probably different and may involve utilization of trafficking pathways for cellular uptake of AONs including absorptive endocytosis, pinocytosis and clathrin-, caveolin-, actin-, dynamin- dependent and -independent pathways [36, 38–40]. Moreover, AON cellular uptake may exploit the natural pathways of cell-to-cell nucleic acid transportation that may be also involved in micro-RNA transportation . It is very likely that different physical and chemical properties of AONs depending on their chemistry, 2-O’-modifications and length may also be determining factors for the manner and efficiency of uptake . The AON chemistry used in the current study has been shown to be advantageous for nuclear uptake .
We also showed that cells of interest in the CeA can take up AONs; NeuN and CRH positive cells represent neurons and cells expressing CRH, a hormone crucial for fear conditioning and orchestration of stress responses in the brain , and a putative target of SRC-1 mediated regulation . NeuN positive cells account for the majority of cells taking up AONs. Moreover, we observed sporadic AON uptake by astrocytes and little or no by microglia. The low uptake by microglia cells may be due to either the properties of those cells, or the fact that they seem to arrive at the injection site probably after AONs have been already taken up by other cells. The fraction of AON-positive astrocytes was substantially lower than for NeuN-positive cells. Other studies suggested that in primates AON uptake by astrocytes may be more substantial . On the other hand, GFAP staining visualizes only part of the total population of astrocytes  since some astrocytes do not express GFAP . Hence, it is possible that GFAP negative astrocytes may have taken up AONs. To summarize, based on our findings we can conclude that generally neurons in the brain take up AONs, without, however, being able to rule out the possibility that different populations of neurons may display uptake at different rates, efficiencies or even complete lack of AON uptake. In the injected areas in the CeA, though, the vast majority of NeuN positive cells take up AONs.
It is important to mention that we did not detect the AONs directly, but rather the fluorophore with which they were labeled. Since this can be cleaved off, it would be possible that we detected fluorophores that were not bound to the AONs. However, that is not likely since uptake takes place very rapidly after injections, when little or no degradation of the AON-fluorophore complex is expected. Moreover, the considerable effect on exon skipping 3 and 7 days after an injection indicates AON activity which coincides with detection of fluorescence in the cells. For this study we made the assumption of equal stability between the two AONs.
Although the addition of a fluorophore increases hydrophobicity, hence cellular trafficking, it also increases its size. Therefore, the diffusion we observe here might be an over- or an underestimation of what it would be without the fluorophore attached. Importantly, efficacy has been shown to be similar between labeled and unlabeled AONs [48, 49]. Finally, our measurements of the diffusion of the AONs indicate that a specific brain region can be targeted with minimal leakage to adjacent areas. The diffusion observed here is likely a function of the targeted area, the volume and AON concentration and the injection rate and it may not be possible to directly extrapolate to other situations. Nevertheless, one would assume that with an optimal combination of volume and concentration smaller regions may also be targeted with reasonable specificity.
In conclusion, we have shown that it is possible to induce specific exon skipping and subsequent isoform switching of SRC-1 in the CeA without noticeable adverse effects. Our future work will address the functional consequences of SRC-1 isoform switching, as well as the many additional genes that are potential targets of such. This use of isoform switching with AONs has great potential that it must be considered not only in cases where it can restore aberrant gene expression and function, but also as an important molecular tool for manipulation of gene expression that constitutes an alternative to RNA interference or knock-out models.
Animals, stereotactic surgery and tissue processing
C57bl/6j male mice between the ages of 12-14 weeks (Janvier SAS, France) were used for all experiments. Animals were singly housed in individually ventilated cages at a 12 hour light cycle with lights on at 7 am. Food and water were available ad libitum. All animal experiments were carried out in accordance with European Communities Council Directive 86/609/EEC and the Dutch law on animal experiments and were approved by the Leiden University animal ethical committee (protocol number: 10128). Animals were anesthetized with a cocktail of Hypnorm-Dormicum-demineralized water in a volume ratio of 1.33:1:3. The depth of anesthesia was always confirmed by examining the paw and tail reflexes. When mice were deeply anesthetized they were mounted on a Kopf stereotact (David Kopf instruments, Tujunga, CA, USA). For every experiment, animals were bilaterally injected with 0.5 μl of the appropriate solution (sterile saline, AONs at a concentration of 400 pmol/μl in sterile saline (Eurogentec, Liège, Belgium)) in the central amygdala (coordinates relative to bregma: -1.25 mm anterior-posterior, ±2.95 mm medio-lateral and -4.75 mm dorso-ventral) . For injections, customized borosilicate glass micro-capillary tips of approximately 100 μm in diameter, connected to a Hamilton needle (5 μl, 30 gauge) were used. The Hamilton syringe was connected to an injection pump (Harvard apparatus, Holliston, MA, USA) which controlled the injection rate set at 0.15 μl/min. After surgery the animals were returned to the home cage and remained undisturbed until sacrifice, with the exception of daily weighing in order to monitor their recovery from surgery. To assess mRNA expression, animals were decapitated after an intraperitoneal injection (i.p.) of overdose Euthasol (ASTfarma, Oudewater, the Netherlands), brains were removed quickly and snap frozen on dry ice. For detection of the presence of AONs over time and putative immunostimulatory effects, mice were sacrificed with transcardial perfusion with a solution of 4% paraformaldehyde (PFA) (Sigma-Aldrich, Zwijndrecht, the Netherlands) in 0.1 M phosphate buffer saline (PBS) after an i.p. injection of overdose Euthasol, 1, 3, 5, 7 and 14 days after the injection. Each time point contained 3-7 animals. In order to assess potential immunostimulatory effects we used animals injected with 0.5 μl sterile saline (vehicle) that were sacrificed either 3 or 7 days (4 per group) after the injection as controls for the respective time points. Three additional animals were sacrificed without having been operated on. After sacrificing the animals, the brains were removed and postfixated overnight in 4% PFA at 4°C. Subsequently they were cryoprotected in 15% and 30% sucrose, snap frozen on dry ice and stored at -80°C.
Two different green fluorophore labeled AONs were used: one targeting human dystrophin, which has no known targets in the mouse (CGCCGCCAUUUCUCAACAG), labeled with a fluorescein amidite (FAM) fluorophore and one targeting exon 22 of SRC-1, that is specific for the SRC-1e splice variant (CUGUAGUCACCACAGAGAAG), labeled with Alexa Fluor® 488. The AON against exon 22 of SRC-1e was administered in order to investigate whether it can induce exon skipping, whereas the AON against human dystrophin was used as control to study cellular uptake and potential immunostimulatory effects. AONs were modified with a full-length phosphorothioate backbone which increases AON stability and cellular uptake and consisted of 2-O’-methyl RNA to render them RNase H resistant and to counterbalance potential immunostimulatory effects caused by the phosphorothioate modified backbone [34, 35, 51, 52].
Antibodies and dilutions used for all immunofluorescent stainings
Santa Cruz biotechnology, Heidelberg, Germany
Invitrogen, Breda, the Netherlands
Chemicon, Amsterdam, the Netherlands
Invitrogen, Breda, the Netherlands
Santa Cruz biotechnology, Heidelberg, Germany
Invitrogen, Breda, the Netherlands
Santa Cruz biotechnology, Heidelberg, Germany
Invitrogen, Breda, the Netherlands
Serotec, Düsseldorf, Germany
Invitrogen, Breda, the Netherlands
Confocal imaging was performed on a Nikon Eclipse TE 200-E microscope. Confocal images were collected as z-stacks at a magnification of 200 or 600 times with a z step size of 0.5 μm and an image size of 1024×1024 pixels. When two or more markers were determined in a single section, the different channels were imaged separately to avoid artifacts due to overlap of the emission wavelengths of the fluorescent labels. The same settings were used to obtain images for quantification (e.g. at different time points, between subjects or between groups for the same marker). Z-stacks were converted to .avi format and then stored as single image .tiff files using the z-projection function of Image J (NIH, Bethesda, MD) with standard deviation as projection type. Images of damaged sections or images with artifacts were excluded from further analysis. Finally, to examine cellular uptake and colocalization of different markers we merged different channels of the same image in Image J.
Appropriate thresholds were applied to correct for background. For each marker the positive stained area was presented as a percentage of the total area of the visual field. In order to reduce measurement bias, holes or ruptures in the tissue were not taken into account for the calculation of total area. For determination of immune responses 3-4 pictures were used per brain and the mean value of those was used as the sample value.
Diffusion of the AONs
For determination of the diffusion of the AONs in the brain we measured the diffusion of the green fluorescence in the medio-lateral axis and the dorso-ventral axis in Image J on 4 or 5 10 μm-thick sections per brain (n=6) which were taken 80 μm apart from each other. Images were taken on a Nikon eclipse 6800 fluorescent microscope at 100X magnification. Before measurements, appropriate background correction was applied. Lines were drawn along the medio-lateral and dorso-ventral axes and their length was measured in pixels. With help of a calibration slide we converted the values from pixels to μm. The positive area for green fluorescence was also measured and total positive volume was calculated according to Cavalieri’s rule. Mean and maximum diffusion distances were calculated as well as total volume per sample.
Laser microdissection and RNA processing
Cryosections at a thickness of 10 μm were taken from snap frozen brains and mounted on polyethylene naphthalate membrane slides (Carl Zeiss, Munich, Germany). Up to 5 sections were mounted on a slide with adjacent sections being on different slides. The slides were stored at -80°C until laser microdissection. Laser microdissection was carried out on a Palm laser microdissection microscope as has been described elsewhere [53, 54]. Briefly, sections were observed under fluorescent light in order to determine regions that had taken up AONs. With the assistance of appropriate software the desired regions were selected, microdissected and collected in adhesive caps (Carl Zeiss). Collected tissue was then stored in Trizol (Invitrogen) at 4°C until RNA isolation, which was always carried out the same day as laser microdissection in order to preserve RNA quality. RNA isolation was performed as has been described elsewhere . Briefly, RNA was isolated with chloroform and precipitated with isopropanol and linear acrylamide. RNA pellets were rinsed with ice cold ethanol 75%, air-dried and resuspended with RNase-free DEPC-treated demineralized water. Quality and concentration of RNA samples were measured on a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA) using the RNA 600 Pico LabChip according to the manufacturer’s instructions.
RNA samples were first treated with DNAse I (Invitrogen) to remove potential genomic DNA contamination. Subsequently, RNA samples were reverse transcribed with iScript cDNA synthesis kit (Bio-Rad, Hercules, CA, USA). Briefly, 4 μl of 5 times iScript reaction mix, 1 μl of iScript reverse transcriptase and 5 μl of Nuclease-free H2O were added to 10 μl of DNase I treated RNA. Subsequently samples were incubated for 5 min at 25°C followed by 30 min at 40°C and finally 5 min at 85°C in a PTC-200 DNA engine cycler (Bio-Rad).
Quantitative polymerase chain reaction (qPCR) was performed for assessment of gene expression in the CeA of AON injected mice. A 1:1 dilution of cDNA in autoclaved demineralized water was used for qPCR. The quantification of cDNA was performed on a LightCycler 2.0 (Roche Applied Science, Basel, Switzerland) using LC FastStartDNA MasterPLUS SYBR Green I (Roche). 2.5 μl of cDNA was added to a mix of 2 μl 5 times Sybr green mix, 1 μl of both forward and reverse primers (5 μM) and 3.5 μl nuclease-free water, in LightCycler Capillaries (20 μl, Roche). All measurements were performed in duplicate. The PCR program comprised 10 min at 95°C followed by 45 cycles of denaturation at 95°C for 10 sec, annealing at 60°C for 10 sec and elongation at 72°C for 10 sec, with a subsequent dissociation stage (from 65°C to 95°C, at a rate of 0.1°C/sec). The SRC-1 splice variants were quantified as an expression ratio of SRC-1a/SRC-1e; the expression of total SRC-1 and GR was normalized against β-actin. Quantification of relative expression was calculated using the Pfaffl method  and normalized against the control group (dystrophin AON).
The forward and reverse primers used for the different genes were respectively: 5′-CCTCTACTGCAACCAGCTCTCGTC-3′ and 5′-TGCTGCACCTGCTGGTTTCCAT-3′ for SRC-1a; 5′-TGCAACCAGCTCTCGTCCACTG-3′ and 5′-GCTCCTCTAGTCTGTAGTCACCACA-3′ for SRC-1e; 5′-CGACCGCAGAGCAGCAGTTA-3′ and 5′-GCCGCTCAGTCAGAGAGCTG-3′ for total SRC-1; 5′-CCCTCCCATCTAACCATCCT-3′ and 5′-ACATAAGCGCCACCTTTCTG-3′ for GR; 5′-TTTCCCACAGCAGTACGCAT-3′ and 5′-TAATTTGGCCGCTGTCCCAT-3′ for SRC-2; 5′-CAACGAGCGGTTCCGATG-3′ and 5′-GCCACAGGATTCCATACCCA-3′ for β-actin.
For comparisons between two groups an independent t-test was used. For comparisons among multiple groups one-way ANOVA was used followed by Tukey’s post-hoc test (for comparison of immunostimulatory effects between all groups) or Dunnett’s post-hoc test (for comparison of fluorescence intensity at different time points with fluorescence intensity after one day post-injection). All data are presented as mean ± SEM.
This study was financed by CMSB and NARSAD grants. We would like to thank Dennis Ninaber for assistance with qPCR analysis and Wout Meelis for assistance with stereotactic operations.
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