Team:Heidelberg/Project/miRNA Kit

Abstract

Regulation of any gene of interest has never been as easy as with our miRNA-based expression tuning kit miTuner. Rational design of synthetic miRNA binding sites according to our recommendations enables fine-tuning of gene expression in a range between 5% and 100%. Additionally, we offer Off- and On-targeting switches which effect GOI expression in only one or all but one tissue depending on endogenously occurring miRNAs.

Figure 1: Three modes of gene regulation accomplished by miTuner. a)fine-tuning of gene expression. b) and c) Off- and On-targeting for tissue specific expression of a therapeutic gene

The tuning application is based on a dual promoter construct that expresses a GOI controlled by a synthetic miRNA which is expressed from the same construct (figure 1a). Differing miRNA-binding site interaction efficiencies caused by binding sites of different sequence properties are used to distinctly adjust expression strength of the GOI.

For Off-targeting, the GOI is under control of miRNAs that are found in tissue where gene expression is thereupon silenced while the GOI can still be expressed in other tissues as visualized in figure 1b.

On-targeting is based on the expression of the GOI from a promoter containing a Tet Operon that negatively regulates gene expression in the presence of a Tet Repressor (figure 1c). If the Tet Repressor is under control of perfect binding sites for endogenous miRNAs , it will be downregulated in the target tissue, releasing the promoter and enabling specific GOI expression.

Introduction

MicroRNAs (miRNAs) are short endogenous, non-coding RNAs that mediate gene expression in a diversity of organisms [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Bartel, 2004)]. Although the understanding of their biological functions is progressing remarkably, the exact mechanisms of regulation are still not unambiguously defined. However, it is commonly believed that miRNAs trigger target mRNA regulation by binding to 3’ untranslated region (UTR) of its target [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Chekulaeva and Filipowicz, 2009)]. Exact principles of expression knockdown mediated by miRNA are still in debate [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Eulalio et al., 2008)].
However, sequence depending binding site properties have an essential impact on miRNA-mRNA interaction. Depending on pairing specificity translational repression is mediated through the imperfect miRNA-mRNA hybrids. The potential for stringent regulation of transgene expression makes the miRNA world a promising area of gene therapy [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Brown et al.,2009)]. There is a need for tight control of gene expression, since cellular processes are sensitive to expression profiles. Non-mediated gene expression can lead to fatal dysfunction of molecular networks. It is widely known, that miRNAs can adjust such fluctuations [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Brenecke et al., 2005)]. A combination of random and rational design of binding sites could become a powerful tool to achieve a narrow range of resulting gene expression knockdown. To ease in silico construction of miRNA binding sites with appropriate characteristics for its target, we wrote a program - the miBS designer. Using all of our theoretical models gives the user the opportunity to calculate knockdown percentages caused by the designed miRNA in the target cell. Our synthetic miRNA Kit guarantees at least for individually modifiable but still ready-to-use constructs to interfere genetic circuits with synthetic or endogenous miRNAs. We preciously show, that gene expression can thereby by adjusted - tuned - to an arbitrary level. The miTuner (see sidebar) allows on the simultaneous expression of a synthetic miRNA and a gene of interest that is fused with a designed binding site for this specific miRNA. Our modular kit comes with different parts that can be combined by choice, e. g. different mammalian promoters and characterized binding sites of specific properties. By choosing a certain binding site to tag the GOI, one can tune the expression of this gene. Depending on the GOI, different means for read out of gene expression come into play. At first, we applied dual-luciferase assay, since we used Luciferase as a reporter for a proof-of-principle approach. Later on, semi-quantitative immunoblots were prepared for testing of therapeutic genes. However, all the received information fed our models, thereby creating an integrative feedback loop between experiments and in silico simulation.

miTuner Kit components

The miTuner Kit consists of three basic components: a)A kit of standardized synthetic microRNAs, corresponding binding sites, promoters and luciferase expression constructs as well as measurement constructs assembled in the BB-2 standard. As the miTuner kit was enabled b)Protocols for engineering synthetic microRNAs, synthetic single microRNA binding sites as well as microRNA binding site patterns

Please find further information about the kit componenets and engineering of the kit [2010.igem.org/wiki/index.php?title=Team:Heidelberg/Project/miRNA_Kit here].

Results

All gene regulatory constructs for tuning, Off- or On-targeting can easily be assembled using BBB standard cloning from our miRNA Kit parts. After successful cloning, the constructs can be transfected onto a cell line of choice or transferred into a virus backbone for in vivo experiments. For our proof of principle, we used firefly luciferase normalized to Renilla luciferase on miTuner to characterize knockdown efficiencies of different binding sites and show Off- and On-targeting by mouse infection carried by an AAV virus.

miTuner: Expression Fine-Tuning by Synthetic miRNAs

The data shows a precisely tuned expression from almost 0% to 100% (Fig. 2, Fig. 3). Lowest expression refers to complete knockdown through fusion of perfect binding sites (always green bar on the left hand side of the figures) to the reporter gene. Expression from a construct without binding sites is set as 100% (always orange column on the right hand side of the figures). In presence of the specific shRNA miR, gene expression was mediated to various levels through interactions with the different imperfect binding sites. Whereas, when an unspecific shRNA miR was expressed, gene expression remained unaffected (see raw data below). This reference shows that the binding sites were correctly designed, since they seem to interact specifically with a referring shRNA miR.

Figure 2: Tuning of gene expression through different imperfect shRNA miR binding sites in pBS_H1. Gene expression quantified via dual luciferase assay for constructs containing different imperfect binding sites for shhAAT.

Figure 2 shows the results of Dual-Luciferase measurements of the miTuner plasmid with binding sites against shhAAT behind firefly luciferase. The highest knockdown can be achieved by using a perfect binding site. Single mutations outside the seed region at position 11, 12 or 10-12 lead to knockdown between 10% and 60% compared to unregulated expression. Bulges close to the seed region or changes in the seed region itself lead to very low downregulation. Having only the seed region as a target for the miRNA also leads to a less efficient knockdown compared with binding sites containing flanking regions.

Figure 3: Tuning of gene expression through different imperfect shRNA miR binding sites in pBS_U6. Gene expression quantified via dual luciferase assay for constructs containing different imperfect binding sites for shhAAT.

Figure 3 shows the same assay using binding sites against shhAAT within the pBS U6 vector. The results are overall similar, with changes in or directly adjacent to the seed region having the highest impact on knockdown efficiency. The measurement uses the same binding sites as the one conducted in pBS U6, just having a H1 promoter instead of U6 promoter.

Figure 4: Tuning of gene expression through different imperfect miR122 binding sites in psiCHECK-2. Construct was transfected into HeLa cells together with an plasmid expressing miR122. Control without binding site was used for normalization.

We further analyzed binding sites derived from miR122 in the dual luciferase vector PsiCheck2 as can be seen in figure 4. Here we tested sixteen mutated binding sites in order to observe minute fine-tuning between one binding site and the next. Mutated Binding sites 123, 133, 134, 135 and 158 contain 4bp-bulges (non-paired regions) that don not seem to diminish knockdown efficiency much. 107 contains one binding site, while 134 and 135 contain two binding sites for the same miRNA and show a stronger knockdown than 107.

Off-Targeting Using Endogenous miRNA

Another application of our synthetic miRNA Kit profits of tissue specific endogenous miRNAs expression. These can be exploited for either Off- or On-Targeting. To enable Off-Targeting, the GOI expressed on miTuner can be tagged with a miRNA binding site specific for one or a combination of endogenous miRNA of the tissue that is to be excluded from gene expression.

Figure 5: Knockdown of reporter gene expression due to endogenous miR122 that interferes with binding sites. Construct transfected to HuH cells to off-target those.

On-Targeting Using Endogenous miRNA

In line with the Off-targeting approach, In the case of On-targeting the presence of a certain miRNA in a cell switches on expression of the GOI. This can be accomplished by using a repressor that is targeted by an endogenously expressed miRNA. We exemplified this scenario by using a Tet Repressor fused with a perfect binding site for miRNA 122, a liver-specific miRNA (Jopling et al., 2005). At the same time, the promoter expressing the GOI would be under control of a Tet Operator. Upon presence of the miRNA 122, the Tet Repressor would be knocked down, release the promoter and expression of the GOI could be established.

Discussion

Strikingly, the order of constructs in terms of knockdown for the imperfect binding sites is similar. M4, M5 and M6 always show strong knockdown, whereas M9, M10 and M11 show only loose down-regulation. Consulting the binding site sequences, the weak knockdown can be addressed to bulges in the supplementary region or to complete lack of the 3' region of the binding site. Still high strength could be maintained due to only single nucleotide exchanges in the central region of the binding site. The principle of smooth regulation was also demonstrated for miR122, a microRNA that is exclusively upregulated in hepatic cells. Referring binding sites were cloned into psiCHECK-2 backbone (Promega) and due to sequence mutations different Luciferase levels were detected again (Fig. 3).

Application of miTuner

In Vitro Regulation of a Therapeutic Gene, hAAT

We further tested our kit using a gene that is an interesting candidate for gene therapy, i. e. human alpha-1-antitrypsin (hAAT). Tight control of the genetic activity is fundamental, since deficiencies of hAAT can cause emphysema [http://2010.igem.org/Team:Heidelberg/Project/miRNA_Kit#References (Lu et al., 2006)]. With our tuning kit we have a powerful mean at hand to mediate expression levels. In this approach, we tagged hAAT, that we used as our GOI, with binding sites (for miRsAg) that we measured and characterized with our miMeasure construct beforehand (data not shown). There is some evidence, that the principle works also with this therapeutic gene in HeLa cells (fig. 6). This is a first potential therapeutic approach applying ELISA for measurements.

Figure 6: hAAT expression in relative units depending of binding site properties. SV40 driven hAAT was fused to binding sites for miRsAg that was expressed from a co-transfected plasmid in HeLa cells.

It is obvious: different binding sites result in different knockdowns of gene expression. Some imperfect binding sites - e. g. single seed region - indicate even similar expression levels in accordance to the figures shown before. It can be stated, that the tuning idea seems to work for attempts varying in applied miRNAs, binding sites and reporter genes. The hAAT as a GOI is worth testing because it is mainly secreted in liver -our target tissue of choice. Efficient transduction can be accomplished by infection with selected viruses. Dealing with hAAt intertwines our two approaches of specific gene therapy, therefor being a relevant field for future research.

In Vivo Validation

The constructs were tested in two different backbones: pBS_U6 and pBS_H1. Both are in viral context, meaning that they contain inverted terminal repeats (ITRs). The constructs can be packed into the capsid of an adeno-associated virus (AAV). Those constructs we also chose for virus production to infect cells even more efficiently as compared to transfections. Because of the significant data, we decided to inject the viruses into mice to see the tuning effect also in vivo. The pBS_H1 construct should be preferred for mice injections since the expressed synthetic shRNA miR against human alpha-1-antitrypsine (shhAAT) is cytotoxic in higher concentrations. The pBS_H1 backbone leads to moderate expression ranges, still obviously showing the tuning effect.

Modeling

After creating a binding site library and testing the miRNA-binding site interaction in vitro, we were able to compute an in silico model based on a machine learning approach to predict knockdown efficiencies. A more detailed description of the different binding sites, we characterized can be found in our measurements page.

Methods

miTuner: Expression Fine-Tuning by Synthetic miRNAs

The miTuner was assembled out of different parts. Cloning was done following standard protocols.

Regulation of gene expression can be achieved by fusing miRNA binding sites right behind a GOI. In case a referring shRNA miR is expressed, the GOI is knocked down. Strength of regulation thereby depends on binding site properties. We are able to tune gene expression linearly over a broad range. This is a first proof of principle for various miRNA-mRNA interactions in vitro. Therefore, we transfected HeLa cells in principle with our [http://partsregistry.org/Part:BBa_K337036 pSMB_miTuner Plasmid HD3]. It turned out, that there was no obvious effect of different binding sites on reporter gene expression (data not shown). We assume that the RSV driving the shRNA miR is too weak for tight regulation of the referring binding site behind the GOI which is driven by the very strong CMV promoter. Only if a sufficient amount of shRNA miR binds to its target, translation is significantly repressed. Thus, we expressed the shRNA miR from a separate plasmid which was always co-transfected with the original tuning construct. The reporter genes - i. e. hFluc and hRluc - were also expressed from separate plasmids to get a reference as well as a transfection control. Then, we conducted a Dual Luciferase Assay for quantification of gene expression.

On- and Off-Targeting

Measurements were done in HeLa cells overexpressing miR122 from plasmid. Besides that, even endogenous miR122 levels were sufficient for off-targeting HuH cells (Fig. 4). A single perfect binding site leads to 95% knockdown, which seems to be maximum, since even a perfect binding site duplicate results in the same reporter gene expression.

References

• Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004 Jan 23;116(2):281-97.
  
• Brennecke J, Stark A, Russell RB, Cohen SM. Principles of microRNA-target recognition. PLoS Biol. 2005 Mar;3(3):e85.
  
• Brown BD, Naldini L.: Exploiting and antagonizing microRNA regulation for therapeutic and experimental applications. Nat Rev *Genet. 2009 Aug;10(8):578-8
  
• Chekulaeva M, Filipowicz W.:Mechanisms of miRNA-mediated post-transcriptional regulation in animal cells. Curr Opin Cell Biol. 2009 Jun;21(3):452-60.
  
• Eulalio, A., Huntzinger, E., and Izaurralde, E. (2008). Getting to the root of miRNA-mediated gene silencing. Cell 132, 9-14.
• Bartel, D.P. (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281-297.
  
• Jopling CL, Yi M, Lancaster AM, Lemon SM, Sarnow P.: Modulation of hepatitis C virus RNA abundance by a liver-specific MicroRNA. Science. 2005 Sep 2;309(5740):1577-81.