Transgenic animals with increased or abrogated target gene expression are powerful tools for drug discovery research. Here, we developed a CRISPR-based Rosa26-LSL-dCas9-VPR mouse model for targeted induction of endogenous gene expression using different Adeno-associated virus (AAV) capsid variants for tissue-specific gRNAs delivery. To show applicability of the model, we targeted low-density lipoprotein receptor (LDLR) and proprotein convertase subtilisin/kexin type 9 (PCSK9), either individually or together. We induced up to ninefold higher expression of hepatocellular proteins. In consequence of LDLR upregulation, plasma LDL levels almost abolished, whereas upregulation of PCSK9 led to increased plasma LDL and cholesterol levels. Strikingly, simultaneous upregulation of both LDLR and PCSK9 resulted in almost unaltered LDL levels. Additionally, we used our model to achieve expression of all α1-Antitrypsin (AAT) gene paralogues simultaneously. These results show the potential of our model as a versatile tool for optimized targeted gene expression, alone or in combination.
Genetically modified mice, as in vivo models to study human disease mechanisms, have a long history that started by the end of the twentieth century1. Since that time, considerable technical advances and new technologies have revolutionized our ability to manipulate the mouse genome and enhance the potential of these models to support preclinical drug discovery. In particular, the application of endonucleases has greatly enhanced the feasibility for researchers to manipulate the mouse genome as desired2,3. Amongst them, the most widely used is the RNA-guided endonuclease CRISPR associated protein 9 (Cas9) system, which induces DNA double strand breaks with high specificity4,5,6. The specificity is provided by a short 20 base pair spacer sequence of a guide RNA (gRNA) that recognizes the target DNA region of interest and directs the nuclease for editing. Over the last few years, the CRISPR-Cas9 system was adopted, and several Cas9 variants have been generated that lack endonuclease activity, while retaining specificity for target DNA, for applications beyond classical endonuclease activity5,7,8. One of them is the CRISPR activation (CRISPRa) system, where endonuclease dead Cas9 (dCas9) is fused with four tandem copies of Herpes Simplex Viral Protein 16 (VP64), human NF-kB p65 activation domain (p65), and Epstein-Barr Virus-derived R transactivator (Rta) domains to obtain a programmable transcription factor, termed VPR8,9,10. This hybrid dCas9-VPR was demonstrated to have a highly efficient potential for activating gene transcription of almost any gene of interest in various species and cell types and led to the development of corresponding dCas9-VPR expressing mouse models11,12,13,14. Here, the targeted transcriptional regulation of genes is obtained by delivering appropriate gRNAs complementary to the promoter region of the gene of interest.
Amongst various delivery methods, recombinant AAV (rAAV) is one of the most investigated and preferred tools, due to its relative safety, low immunogenicity, and ability to transduce a broad range of cells15. In addition, rAAV is replication defective, does not integrate into the host genome, and persists in transduced cells in an episomal fashion, thereby providing long-term transgene expression15,16,17. Moreover, due to the broad range of natural and capsid-engineered rAAV variants that differ in their transduction efficiency and tissue tropism, transgene delivery to specific cell or tissue types can be achieved18,19. One of the most efficient AAV serotypes for liver transduction in mice is AAV8, which was shown to transduce up to 90–95% of hepatocytes subsequent to intraportal vein or intravenous injection20.
The liver is one of the most important organs in the body, which is directly or indirectly involved in many essential physiological processes, where reduction or loss of liver function can be life threatening25,26,27,28,29,30,31,32,33. Hence, liver associated enzymes, circulating proteins and cell receptors are popular targets in the focus of ongoing drug discovery approaches21,22,23,24,25,26,27,28. In this context, hepatocyte expressed LDLR plays an important role in plasma cholesterol homeostasis, where dysregulation leads to a higher risk for the development of cardiovascular diseases29 LDLR is located at the cell surface of hepatocytes, where it interacts with plasma derived LDL. After binding, the LDLR-LDL complex is internalized and transported into endosomes29. Once LDL has been released, LDLR can recirculate to the cell surface or is degraded in the lysosomes. The degradation rate of LDLR can be regulated by modifying another enzyme (PCSK9), which is mainly liver expressed30,31,32. PCSK9 interacts with LDLR on the cell surface and targets LDLR to lysosomes for its degradation29. It has been shown that high levels of circulating PCSK9 increase concentrations of plasma LDL, increasing the risk of atherosclerosis development33,34,35.
Another important protein expressed by hepatocytes is AAT, which is encoded by the SERPINA1 gene. Liver secreted AAT circulates in the blood and its main function is to control activity of various serine proteinases. The primary target of AAT is neutrophil elastase36,37. The number of SERPINA1 genes vary among different mammalian species. Primates, including humans, and some mouse strains contain only a single gene copy, while other mouse lines contain multiple paralogues originating from the same ancestral gene. For instance, C57Bl/6 J mice contain five Serpina1 paralogues, namely Serpina1a, Serpina1b, Serpina1c, Serpina1d and Serpina1e36,38,39,40.
Here, we describe the development and use of a new Cre recombinase-dependent dCas9-VPR mouse model, with the potential of long-lasting transcriptional activation in vivo. This mouse model is applicable for gene induction by gRNAs to target different genes of interest, individually or in combination. Particularly, by using liver tropic AAV8 and specific gRNAs, we demonstrate tissue specific upregulation of LDLR, PCSK9 and AAT in hepatocytes. For AAT, all five Serpina1 gene variants could be simultaneously upregulated in our mouse model using a mix of five AAV8 preparations, each containing specific gRNAs against one of the five Serpina1 gene variants. Conditions of hyper- or hypocholesterolemia were successfully induced in these mice by activating the expression of either hepatic PCSK9 and/or LDLR. Taken together, these studies demonstrate the potential of the new Rosa26-LSL-dCas9-VPR mouse model for targeted transcriptional gene activation, thereby enabling rapid characterization and validation of gene function in basic biological research or drug discovery.
Generation of a Cre-dependent dCas9-VPR knock-in transgenic mouse line
We generated the Cre-dependent CRISPR activation mouse line, termed Rosa26-LSL-dCas9-VPR, using the recombinase mediated cassette exchange technology to integrate the dCas9-VPR gene containing cassette into the ROSA26 locus (Fig. 1A). The cloned targeting vector contained a NeoR cassette, the human CAG promoter, and a translation interrupting LSL cassette linked with the dCas9-VPR gene fused to a self-cleaving P2A sequence and Egfp gene (Fig. 1A).
Characterization of Cre-dependent and tissue-specific dCas9-VPR expression
To investigate the effectiveness of Cre recombinase-mediated LSL cassette excision, and consequently dCas9-VPR expression activation, in a tissue specific manner, Rosa26-LSL-dCas9-VPR mice were either injected with a preferentially liver transducing AAV8 containing the Cre gene under the control of a liver specific LP1 promoter (AAV8-Cre) or AAV8 carrying U6 promoter driven guide RNAs targeting Pcsk9 (gPcsk9) (AAV8-gPcsk9), where each gRNA is driven by separate U6 promoter (Fig. 1B). Recombination (i.e., excision of the LSL cassette) was only observed in liver tissue of AAV8-Cre administered Rosa26-LSL-dCas9-VPR mice, but not in solely AAV8-gPcsk9 transduced mice (Fig. 1C). Moreover, in AAV8-Cre treated mice, dCas9-VPR expression was restricted to liver, with absent or only minor but not statistically significant increases in all other investigated tissues, including heart, lung, kidney, and spleen (Fig. 1D). These results show that Rosa26-LSL-dCas9-VPR mice in combination with AAV8 and LP1 promoter driven Cre expression allow efficient and liver specific induction of dCas9-VPR expression.
Upregulation of Serpina1 paralogues in the liver by CRISPRa
To determine whether the Rosa26 knock-in construct provided functional levels of dCas9-VPR expression, we next investigated parallel transduction of CRISPRa mice with AAV8-Cre and a set of five AAV8s containing gRNAs targeting the five Serpina1 paralogues a-e (AAV8-gSerpina1a, AAV8-gSerpina1b, AAV8-gSerpina1c, AAV8-gSerpina1d, AAV8-gSerpina1e) (Supplementary Fig. S1). Each paralogue is targeted in parallel by 6 different gRNAs, where each gRNA is driven by an individual U6 promoter (Fig. 2A). We injected two groups of animals and collected blood samples 10- and 21-days post transduction. While the animals of the first group received only AAV8-Cre, the second group received a combination of AAV8-Cre and all five AAV8-gSerpina1, each targeting one of the five Serpina1 gene variants a-e (AAV8-gSerpina1(a1-6-e1-6)), with the aim to upregulate all 5 liver Serpina1 paralogues simultaneously in each animal (Fig. 2B). 21 days post transduction, Rosa26-LSL-dCas9-VPR mice were investigated for AAT expression in the liver and blood. mRNA analysis of all Serpina1 variants at day 21 showed an increased expression in the liver of mice that received both Cre and Serpina1 gRNAs, demonstrating that dCas9-VPR expression was successfully induced and capable to form a ribonucleoprotein complex (RNP) with the provided gRNAs to facilitate on-target gene over-expression (Fig. 2C). Furthermore, we performed protein analysis of liver samples and found a fivefold overexpression of the SERPINA1A paralogue as compared to animals receiving only AAV8-Cre (Fig. 2D). To confirm this observation, we additionally quantified AAT levels in plasma (Fig. 2E). In line with the results described above, injection of mice with AAV8-Cre and AAV8-gSerpina(n) led to significantly increased AAT plasma levels detected on day 10 post-transduction, which further increased on day 21 post injection, while control levels remained almost unchanged (Fig. 2E). Taken together, these data demonstrate the successful transcriptional induction of all five Serpina1 paralogues, thereby providing evidence for the use of the Rosa26-LSL-dCas9-VPR mice in combination with AAV8 encoded gRNAs for efficient upregulation of Serpina1 transcription resulting in increased protein levels in liver and plasma.
Individual and simultaneous upregulation of LDLR and PCSK9
A key advantage of CRISPR-based models is their potential for targeting of two or more genes at the same time by combining different gRNAs. To study the possibility of multiple gene upregulation in our Cre-dependent dCas9-VPR mice, we selected the well characterized PCSK9-LDLR-LDL regulatory loop for the next experiment. PCSK9 plays an important role in cholesterol homeostasis by forming a complex with LDLR on the cell surface, thereby inducing LDLR’s internalization and subsequent lysosomal degradation. To induce PCSK9 and LDLR expression, we selected a set of 6 different gRNAs, each targeting either Ldlr or Pcsk9 (Fig. 3A). To study the function of both genes on cholesterol homeostasis, we analyzed liver and blood 21 days post AAV injection. Animals of the first group were injected with AAV8-Cre alone, as a control, whereas the second and third groups additionally received either AAV8-gPcsk9 or AAV8-gLdlr, respectively (Supplementary Fig. S1). The fourth group was injected with a combination of three different viruses: AAV8-Cre, AAV8-gLdlr and AAV8-gPcsk9 (Fig. 3B). As expected, treatment with AAV8-Cre either in combination with AAV8-gLdlr or AAV8-gPcsk9 led to a significant, approximately threefold transcriptional upregulation of either Ldlr or Pcsk9, compared to the control group (Fig. 3C,D). In group four (AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9), the transcriptional upregulation of both Ldlr and Pcsk9 was comparable to the individual induction of Pcsk9 expression in group two (AAV8-Cre + AAV8-gPcsk9) or Ldlr in group three (AAV8-Cre + AAV8-gLdlr) (Fig. 3C,D). The increase in mRNA translated into an even more pronounced upregulation on protein levels, with a ninefold or fourfold overexpression for LDLR or PCSK9, respectively (Fig. 3E,F). Specificity of PCSK9 detection via Wes™ was confirmed using recombinant PCSK9 protein. Virtual blot-like images are shown in Supplementary Fig. S2. Upregulation of PCSK9 reduced LDLR protein in liver tissue by tenfold (Fig. 3E, AAV8-Cre + AAV8-gPcsk9), whereas upregulation of LDLR protein did not affect the PCSK9 protein amount in liver tissue (Fig. 3F, AAV8-Cre + AAV8-gLdlr), but reduced circulating PCSK9 levels in plasma by 13-fold (Fig. 3G, AAV8-Cre + AAV8-gLdlr). Simultaneous upregulation of PCSK9 and LDLR proteins led to an almost twofold increase in LDLR protein amount in liver (Fig. 3E, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9), whereas the detected PCSK9 amounts were increased almost threefold compared to the control group (Fig. 3F, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9). However, despite these higher PCSK9 protein amounts observed in the liver tissue lysates, no significant PCSK9 increase was detected in the corresponding plasma samples (Fig. 3G, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9). To confirm the increase of LDLR on the surface of the hepatocytes from the dCas9-VPR expressing mice, we additionally performed immunohistochemistry analyses on liver sections stained with an anti-LDLR antibody. The antibody dilution was titrated to see a moderate staining in the control group showing faint cytoplasmic staining and, in a fraction of hepatocytes, distinct membrane staining. As expected, upregulation of PCSK9 in the experimental group two led to decreased LDLR staining compared to the control group (Fig. 3H, AAV8-Cre + AAV8-gPcsk9), whereas upregulation of the LDL-receptor resulted in a strong increase in membrane staining and, to a lesser extent, in cytoplasmic staining (AAV8-Cre + AAV8-gLdlr). After simultaneous upregulation of both PCSK9 and LDLR, the staining for LDLR levels is comparable to the control group (Fig. 3H, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9).
Regulation of plasma cholesterol by modulating hepatic LDLR expression
To evaluate the effect of hepatic LDLR overexpression, or its reduction by the enhanced PCSK9 expression, on plasma cholesterol levels, we subjected plasma of the AAV8-transduced dCas9-VPR mice to lipoprotein analysis. As expected, treatment with AAV8-Cre in combination with AAV8-gLdlr led to a significant decrease of LDL, HDL as well as cholesterol in plasma compared to the samples from the control group (Fig. 4A–C, AAV8-Cre and AAV8-Cre + AAV8-gLdlr). In detail, the HDL and total cholesterol levels dropped threefold, whereas plasma LDL dropped to an undetectable amount. In line with these data, AAV-mediated overexpression of PCSK9 increased LDL, HDL and total cholesterol concentrations in plasma compared to the control group samples (Fig. 4A–C, AAV8-Cre and AAV8-Cre + AAV8-gPcsk9). In this context, upregulation of PCSK9 resulted in fourfold higher plasma LDL levels and a twofold increase for total cholesterol when compared to the control group (AAV8-Cre), whereas HDL levels were almost unchanged (1.2-fold increase) (Fig. 4B). Notably, simultaneous upregulation of LDLR in parallel to PCSK9 (Fig. 4A–C, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9) still resulted in a reduction of plasma LDL, HDL and cholesterol levels, but less pronounced than upon upregulation of LDLR alone. This finding is in concordance with a residual increase of LDLR levels of almost twofold compared to control, despite PCSK9 induction (Fig. 3E, AAV8-Cre + AAV8-gLdlr + AAV8-gPcsk9 and AAV8-Cre).
In our study, we generated a novel, conditional (Cre-dependent) dCas9-VPR expressing mouse line and demonstrated its utility for tissue specific gene upregulation using AAV-mediated gRNA expression. Our mouse model offers a versatile basis for diverse research applications that require fine-tuning of targeted expression of any gene of interest using either a mixture or a single AAV with varying tissue tropism, thereby providing the opportunity to simultaneously activate multiple genes in vivo. Additionally, our model offers the advantage to restrict dCas9-VPR expression to a desired tissue by placing Cre-recombinase under a tissue-specific promoter, if needed. Alternatively, the mice could also be cross-bred with Cre driver lines to induce tissue- or cell-specific dCas9-VPR expression.
The primary goal of our study was to establish and improve a CRISPR activation model to study pathways and molecular interactions in conjunction with tailored disease models to reproduce human pathological conditions for basic research and drug development. Because of their phylogenetic relatedness and physiological similarity to humans, the use of mice as tools in biomedical research is well established3,41,42,43,44,45. Unfortunately, none of these models precisely mimic the human phenotype exactly enough, leading to variations in efficacy and toxicity of drug candidates compared to humans in the past46,47,48,49,50,51. Even though the genetic pathways regulating normal and physiological conditions are quite conserved, the intrinsic genetic differences sometimes complicate the direct comparison between the species52. One example is the generation of authentic AAT mouse-models, where the establishment of comparable disease models are hampered by the complexity of the murine Serpina1-genes36,38,39,40. The need for mouse models to upregulate the expression of all Serpina1 paralogues simultaneously is of particular importance since there is evidence to suggest that overexpression of AAT is most probably involved in cancer related processes53,54. It has been already shown that higher AAT expression promotes invasion and metastasis as well as correlates with poor prognosis in patients with lung, colon, skin, and gastric cancer53,54,55,56,57. The mouse model presented here will therefore be highly relevant to further investigate not only these findings but can be easily adapted to similar genetic conditions.
The most important features to reproduce human diseases are the precision of etiology as well as the ability to reproduce the features of the pathological process. The value of our mouse model to induce and study the regulation of complex pathological conditions is, therefore, demonstrated by the successful modulation of cholesterol metabolism by the hepatic overexpression of two system relevant key players, namely LDLR and PCSK9, alone and in combination. In accordance with recent studies29,30,32,34,58, overexpression of circulating PCSK9 led to reduced LDLR, which was accompanied by increased LDL and cholesterol concentrations in plasma and vice versa. In addition to this, we also observed sex dependent differences in serum/plasma levels of alpa-1-antitrypsin (male > female), LDL (female > male) and PCSK9 in control mice in accordance with the literature59,60,61,62,63,64. This distinction was still visible in AAT plasma levels despite a general 1.6-fold increase after overexpression. In contrast to this, we could not detect animal sex related significant differences in liver dCas9-VPR mRNA expression. As demonstrated with these data, our model is well suited to study PCSK9 function in the liver via LDLR depletion, but moreover, also possible effects on other organs can be easier addressed, e.g., by the investigation of compensatory effects mediated via additional tissue specific LDLR upregulation.
Several CRISPRa mouse models have already been generated, which mainly differ in the choice of the transcriptional activator, chosen locus for dCas9 gene knock-in, the target vector design, and whether dCas9 is conditionally or constitutively expressed13,14,65,66,67,68. We specifically decided to use dCas9 fused to VPR under the control of a CAG promoter within the Rosa26 locus and downstream of an LSL cassette. To allow gene upregulation in any tissue of interest, we followed the strategy to use the "safe harbor" locus Rosa26 as the preferred site for ubiquitous expression of our transgene. By doing so, we made sure to reach similar expression of dCas9-VPR across various tissues, without affecting endogenous gene expression as observed in mouse models in the past44,69,70,71,72. This was also done by Hunt et al., who published a CRISPRa model using the Rosa26 locus66. However, in this configuration the dCas9-synergistic activation mediator (SAM) was placed exclusively under the transcriptional control of the Rosa26 promoter, which might limit the transgene expression levels due to its moderate strength. To overcome this limitation, our (and other) CRISPRa mouse model was generated by additionally inserting a strong exogenous CAG-promoter into the Rosa26 locus upstream of the dCas9 transgene14,65,73,74. The decision to use dCas9 fused to the VPR activator was mainly fostered by a comprehensive study by Chavez et.al., where they compared different Cas9 activator systems in several human, mouse and fly cell lines15. Even though AAV based gRNA delivery can often be sufficient for tissue-specific target gene expression, we aimed to further increase tissue specificity in our model by conditional dCas9-VPR expression. In addition to that, transgene expression needs to be supervised to prevent unwanted side effects, as several publications pointed out a possible dCas9-VPR toxicity14,75. Moreover, by limiting dCas9 expression to certain tissues, also the risk of gRNA off-targeting is reduced. Narrowing down dCas9-VPR expression to defined cell types and tissues in our mouse model can be achieved by combining tissue tropism provided by AAV serotypes with tissue specific promoter driven Cre. This strategy is of special interest since the field of AAV capsid engineering is thriving and a number of additional AAV serotypes have been isolated and new capsid variants have been generated in recent years. Despite these attractive features, the CRISPRa/AAV-guide system still possesses some limitations, such as the limited availability of truly tissue or cell specific promoters for controlled Cre expression, inefficient in vivo transduction of some tissues (e.g., bone marrow, immune cells, kidney) with AAVs, and specificity of gRNAs. Nevertheless, in light of the large body of information gained from studies in mice, where different AAV serotype vectors have been shown to exhibit distinct tropism for various tissues77, ongoing efforts to identify novel promoter/enhancer elements for a variety of tissues, and continuous improvements of CRSIPR technology and guide design, our model holds the potential to target genes in hardly accessible tissues or cell types in the future.
Finally, we have decided to use 6 gRNA sequences to target one gene, as it was demonstrated that most efficient gene upregulation is reached when more than 3 gRNAs are used in parallel76. Although the selection of these gRNAs was based on a prediction algorithm that aims to select target-specific sequences, off-target effects cannot be fully excluded and therefore need to be carefully addressed in any future study using appropriate methods, e.g., ChIP-seq and prior in vitro evaluation to minimize off-target effects that might otherwise falsify data interpretation.
Our Rosa26-LSL-dCas9-VPR model can be a used to study and validate pathways/molecular interactions by selected or combined overexpression of genes. It also offers the possibility for concerted overexpression of multiple gene variants in order to study their biological function jointly and/or individually. Additionally, it has the potential to generate mouse disease models by overexpression of endogenous genes based on the sustained and potentially long-lasting expression of AAV8 constructs in mouse liver78,79,80 and by combining multiple genes in order to achieve the expected disease phenotypes. The fast generation, the precise gene targeting, and the versatile combination of multiple genes makes this model highly attractive, not only for academia but also for industry, to support and accelerate drug discovery by providing detailed insights in target pathway biology and to set up new disease animal models with a better match to human pathology.
Material and methods
Mouse model generation animal husbandry
Rosa26-LSL-dCas9-VPR mouse line was generated by recombinase mediated cassette exchange (RMCE) technology (Taconic Bioscience). RMCE vector containing F3 site, neomycin resistance (NeoR) gene, PGK polyadenylation signal, cytomegalovirus (CMV) immediate enhancer/β-actin (CAG) promoter, loxP-STOP-loxP (LSL) cassette, dCas9-VPR gene, P2A sequence, enhanced green fluorescent protein (EGFP) gene, hGH polyadenylation signal, PGK polyadenylation signal and FRT site was cloned, and transfected into a C57BL/6NTac embryonic stem cell (ESC) line containing an RMCE docking site in the Rosa26 locus (Taconic Bioscience). The targeted ESC clone was injected into BALB/c blastocysts. Spermatozoa from high-percentage chimeric male mice was used for in vitro fertilization of superovulated C57BL/6NTac female mice (Taconic Bioscience) to obtain a first colony of transgenic C57BL/6NTac-Gt(ROSA)26Sortm6458 (CAG-LSL-dCas9VPR-EGFP)Tac (termed Rosa26-LSL-dCas9-VPR or Rosa26LSL-dCas9-VPR/+) mice. Mice were housed in groups of 3–5 in individually ventilated cages at 22–25 °C, a humidity of 45–65%, and a 12 h day/night cycle with free access to water and food. Animal experiments were performed in accordance with the German Animal Welfare Act, and the guidelines of directive 2010/63/EU of the European Parliament and the Council 2010 on the protection of animals used for scientific purposes. Animal experiments performed in this study were reviewed and approved by the local authorities (Regierungspräsidium Tübingen, TVV-17-020). We hereby confirm that all methods in the study were carried out in compliance with the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines and regulations.
In vivo AAV administration
AAV8 particles were resuspended in 0.9% NaCl saline (04671613, Deltamedica). 125 µl were injected into Rosa26LSL-dCas9-VPR/+ mice via tail vein injection at a dose of 1 × 1011 VG/mouse for each AAV variant. For all experiments, male and female mice at the age of 20–26 weeks were used and genders were distributed equally between the experimental groups.
AAV expression constructs for gRNAs and Cre recombinase
gRNA and LP1-Cre sequences were cloned into separate plasmids harboring AAV2-inverted-terminal repeats (ITRs) with one ITR harboring a mutated terminal resolution site, therefore resulting in a self-complementary genome. Each gRNA expression vector contained six consecutives human U6 promoters, each followed by a gRNA coding sequence. The native Streptococcus pyogenes-derived gRNA scaffold structure was optimized based on previous publications81,82. gRNA sequences were taken from a data base, published by Horlbeck et al.83, and are listed in Supplementary Table S1. The Cre expression vector was composed of an LP1 promoter, Cre gene and an SV40 polyA sequence. Complete plasmid sequences and annotations can be found in Supplementary Table S2.
AAV production, purification, and titration
AAVs were produced using frozen high-density HEK293 cell stocks and CELLdiscs (678116, Greiner Bio-one) as previously described84. Briefly, AAVs were produced by calcium phosphate transfection in a minimum of three 16-layer CELLdiscs, resulting in total yield of 2.39E+12–6.84E+12 VG, depending on the construct. Freshly thawed high-density HEK293 cell stocks were seeded with a density of 6E+07 cells per disc, followed by incubation at 37 °C for 72 h. For one disc, 1800 µg of plasmid DNA was mixed with 69 ml 300 mM calcium chloride (C7902, Sigma-Aldrich), added dropwise to 69 mL 2× HBS buffer, pH 7.0 (15450257, Thermo Fisher Scientific) and added to the cells after 2 min of incubation. Plasmid DNA contained equimolar amounts of a rep2-cap8 plasmid, pHelper (Applied Biosystems), and either Cre or one of the gRNA expression plasmids. Six hours after transfection, the medium was changed, and cells were further incubated for 72 h before harvesting. Cells were then lysed in lysis buffer, containing 1300 IU (i.e., 0.325 IU/cm2) salt active nuclease (70910-150, Scientifix) and HALT protease inhibitor (78439, Thermo Fisher Scientific). After spinning the cell debris, supernatants were collected and further processed by PEG-precipitation, iodixanol gradient ultracentrifugation and ultrafiltration, as described in detail before84,85. Droplet digital PCR for absolute quantification of viral genomes for gRNA-expressing virus was performed using an U6 promoter specific Custom TaqMan™ Gene Expression Assay (Applied Biosystems), containing U6-Fwd, U6-Rev and U6-probe (Supplementary Table S1). Absolute quantification for Cre-expressing AAVs was performed using primers LP1-Fwd, LP1-Rev and LP1-probe (Sigma-Aldrich) (Supplementary Table S1).
For protein analysis, dissected tissues were immediately snap frozen, while for RNA analysis, organs were first submerged in RNAlater™ Stabilization Solution (AM7021, ThermoFisher) for 24 h at 4 °C. Tissues were transferred into Precellys® tubes (Bertin Instruments) together with 50 µl/10 mg RLT buffer (79,216, QIAGEN) containing 1% β-mercaptoethanol (M3148, Sigma-Aldrich) for RNAlater stabilized tissues or 100 µl/10 mg RIPA buffer (R0278, Sigma-Aldrich) containing 1X HALT Protease inhibitor Cocktail (1861279, ThermoFisher) for snap frozen tissues. Tissues were homogenized at 5500 rpm for 20 s using a Precellys® 24 homogenizer (Bertin Instruments). After disruption, protein lysates were incubated for 30 min at 4 °C. Lysates were centrifuged for 20 min at 15,294g to pellet cell debris and supernatant was collected. Protein concentration was measured using Pierce™ BCA Protein Assay Kit (23225, ThermoFisher) according to the manufacturer’s instructions.
Total RNA extraction and reverse transcription (RT)-PCR
For total RNA isolation, 650 µl of prepared tissue lysate was transferred along with 325 μl Phenol–chloroform–isoamyl alcohol mixture (77617, Sigma-Aldrich) into 5PRIME Phase Lock Gel Heavy tubes (2302830, Quantabio), followed by vigorous shaking for 15 s and centrifugation at 16,000g for 5 min. Next, 325 µl of Chloroform–isoamyl alcohol mixture (25666, Sigma-Aldrich) was added and the tubes were shaken again for 15 s, followed by 3 min incubation and centrifugation at 16,000g for 5 min. 350 µl of aqueous phase was collected and used to extract total RNA and using AllPrep DNA/RNA 96 Kit (80311, Qiagen). Isolation was performed according to the manufacturer’s instructions with slight modification to remove DNA contamination from the RNA fraction. For this, the RNA fraction was loaded in the RNeasy® 96 Plate and washed with 400 µl RW1 buffer. 80 µl of DNase I (79254, Qiagen) was added to each well and the RNeasy® 96 Plate was incubated for 15 min at room temperature followed by standard protocol starting with washing the 96-well plate with RW1 buffer. Either 500 ng (dCas9-VPR, Ldlr and Pcsk9) or 1 µg (Serpina1(a-e)) of total RNA was reverse-transcribed into copy DNA (cDNA) using High-Capacity cDNA Reverse Transcription Kit (4368813, Applied Biosystems).
Quantitative real-time PCR
Quantitative real-time PCR was performed with a QuantiFast Probe PCR Kit (204256, Qiagen) (for Serpina1(a-e)) or TaqMan™ Gene Expression Master Mix (4370074, Applied Biosystems) (for Ldlr, Pcsk9 and dCas9-VPR expression) using the following TaqMan™ Gene Expression Assays (Applied Biosystems): Mm01177349_m1 for Ldlr, Mm02748447_g1 for Serpina1a, Mm04207706_gH for Serpina1b and Serpina1d, Mm00833655_m1 for Serpina1e, Mm00842094_mH for Serpina1d and Mm04207703_mH for Serpina1a, Serpina1b, Serpina1c, Mm01263610_m1 for Pcsk9, Mm00839502_m1 for Polr2A. dCas9-VPR expression was analyzed using a Custom TaqMan™ Gene Expression Assay (Applied Biosystems), containing dCas9-Fwd, dCas9-Rev and dCas9-probe (Supplementary Table S1). Relative Serpina1(a-e), Pcsk9 and Ldlr expressions were calculated using 2−ΔΔCt method in relation to Polr2a.
LSL cassette excision PCR
LSL cassette recombination PCR was performed on liver cDNA using Quick-Load® Taq Master Mix (M0271S, NEB) with primers p1, p3, p2 (Supplementary Table S1). The PCR products with 492 bp for floxed LSL-dCas9-VPR and 393 bp for recombined dCas9-VPR products were separated on a 2% E-Gel™ EX Agarose-Gel (G401002, ThermoFisher).
For genotyping, the Rosa26 locus was amplified with the PCR primers GenFw1, GenFw2 and GenRev1 (Supplementary Table S1) by using the Taq polymerase High Fidelity (11304011, ThermoFisher). The expected PCR products were 299 bp for wild-type allele and 744 bp long for knock-in allele.
Quantification of protein expression using Wes™ analysis
Tissue lysates were analyzed using automated Simple Wes system (Protein Simple) with 12–230 kDa Wes Separation Module capillary cartridges (SM-W004, Protein Simple). Anti- mouse (DM-002, Protein Simple), anti-rabbit (DM-001, Protein Simple), anti-goat (DM-006, Protein Simple) detection modules or F(ab’)2 anti-Rat IgG (H + L)-HRPO (1:20, 112-036-062, Jackson Immuno Research) were used, depending on host species of the primary antibodies. The following primary antibodies were used: LDLR (1:50, PAB8804, Abnova), SERPINA1A (1:20, MAB7690, R&D Systems), PCSK9 (1:10, AF3985, R&D Systems) and β-actin (1:20, NB600-501, Novus Biologicals). Specificity of PCSK9 detection was confirmed using recombinant mouse PCSK9 protein (9258-SE-022, R&D Systems). Compass software version 6.0.0 (Protein Simple) was used to analyze the data. Area under the peak of the protein of interest was measured and normalized with respect to the β-actin area under the peak.
PCSK9 and AAT ELISA
Proteins were determined in plasma using Mouse Proprotein Convertase 9/PCSK9 Quantikine ELISA Kit (MPC900, R&D Systems) and Mouse A1AT ELISA Kit (E-90A1T, Immunology Consultants Laboratory) according to the manufacturer’s instructions detecting all 5 paralogues of Serpina1.
Plasma LDL, HDL, total cholesterol analysis
HDL (high-density lipoprotein), LDL and total cholesterol plasma levels were determined using a COBAS INTEGRA® 400 Plus chemistry analyzer (Roche Diagnostics, Germany), according to the manufacturer's instructions.
Mouse tissues were dissected and immediately transferred to 10% neutral buffered formalin (HT501128, Sigma-Aldrich). Tissues were fixed for at least 24 h before samples were processed with an automated tissue processor (Tissue-Tek® VIP® 6, Sakura), embedded in paraffin and cut into 3 µm sections. Immunohistochemical (IHC) staining for LDLR was carried out on the automated Leica Bond RX™ platform (Leica Biosystems, Melbourne, Australia) using a monoclonal rabbit anti-LDL receptor antibody (1:1200, clone EP1553Y, ab271846, abcam) after heat-induced epitope retrieval with Bond™ Epitope Retrieval Solution 1 (ER1, pH6, Leica Biosystems, Newcastle, United Kingdom). Antibody dilution was titrated to have a moderate staining signal in livers of AAV8-Cre-only treated mice. Bound antibodies were visualized using the Bond™ Polymer Refine Detection System (Leica Biosystems, Newcastle, United Kingdom). Anti-LDLR stained sections were scanned with the Axio Scan.Z1 (20 × objective, Carl Zeiss Microscopy GmbH, Jena, Germany).
Statistical analyses were performed using GraphPad Prism 9 (GraphPad). Significance was determined according to the p values as *p < 0.05, **p < 0.01, ***p < 0.001 and ****p < 0.0001. Results are shown as mean values ± s.d. Comparison between experimental groups was made using a nonparametric Mann–Whitney test.
All data generated or analysed during this study are included in this published article. Detailed nucleotide sequences of all primers, gRNAs and plasmids used in this study can be found in the supplementary data and additionally deposited in the GenBank database (https://www.ncbi.nlm.nih.gov/genbank) via accession numbers (OP099837, OP099838, OP099839, OP099840, OP099841, OP099842, OP099843, OP099844).
Jaenisch, R. & Mintz, B. Simian virus 40 DNA sequences in DNA of healthy adult mice derived from preimplantation blastocysts injected with viral DNA. Proc. Natl. Acad. Sci. 71, 1250–1254 (1974).
new tools to edit the mouse genome. Wijshake, T., Baker, D. J. & Sluis, B. van de. Endonucleases. Biochim. Biophys. Acta Mol. Basis Dis. 1842, 1942–1950 (2014).
Gurumurthy, C. B. & Lloyd, K. C. K. Generating mouse models for biomedical research: technological advances. Dis. Model. Mech. 12, dmm029462 (2019).
Araldi, R. P. et al. Medical applications of clustered regularly interspaced short palindromic repeats (CRISPR/Cas) tool: A comprehensive overview. Gene 745, 144636 (2020).
Knott, G. J. & Doudna, J. A. CRISPR-Cas guides the future of genetic engineering. Science 361, 866–869 (2018).
Hille, F. et al. The biology of CRISPR-Cas: Backward and forward. Cell 172, 1239–1259 (2018).
Pandelakis, M., Delgado, E. & Ebrahimkhani, M. R. CRISPR-based synthetic transcription factors in vivo: The future of therapeutic cellular programming. Cell. Syst. 10, 1–14 (2020).
Kondrateva, E., Demchenko, A., Lavrov, A. & Smirnikhina, S. An overview of currently available molecular Cas-tools for precise genome modification. Gene 145225 (2020) https://doi.org/10.1016/j.gene.2020.145225.
Chavez, A. et al. Highly efficient Cas9-mediated transcriptional programming. Nat. Methods 12, 326–328 (2015).
Maeder, M. L. et al. CRISPR RNA—guided activation of endogenous human genes. Nat. Methods 10, 977–979 (2013).
Chavez, A. et al. Comparison of Cas9 activators in multiple species. Nat. Methods 13, 563–567 (2016).
Tran, N. T. et al. Efficient CRISPR/Cas9-mediated gene knockin in mouse hematopoietic stem and progenitor cells. Cell. Rep. 28, 3510-3522.e5 (2019).
Matharu, N. et al. CRISPR-mediated activation of a promoter or enhancer rescues obesity caused by haploinsufficiency. Science 363, eaau0629 (2018).
Yamagata, T. et al. CRISPR/dCas9-based Scn1a gene activation in inhibitory neurons ameliorates epileptic and behavioral phenotypes of Dravet syndrome model mice. Neurobiol Dis. 141, 104954 (2020).
Naso, M. F., Tomkowicz, B., Perry, W. L. & Strohl, W. R. Adeno-associated virus (AAV) as a vector for gene therapy. BioDrugs 31, 317–334 (2017).
Yip, B. H. Recent advances in CRISPR/Cas9 delivery strategies. Biomol 10, 839 (2020).
Deyle, D. R. & Russell, D. W. Adeno-associated virus vector integration. Curr. Opin. Mol. Ther. 11, 442–447 (2009).
Drouin, L. M. & Agbandje-McKenna, M. Adeno-associated virus structural biology as a tool in vector development. Future Virol. 8, 1183–1199 (2013).
Wang, D., Tai, P. W. L. & Gao, G. Adeno-associated virus vector as a platform for gene therapy delivery. Nat. Rev. Drug Discov. 18, 358–378 (2019).
Nakai, H. et al. Unrestricted hepatocyte transduction with adeno-associated virus serotype 8 vectors in mice. J. Virol. 79, 214–224 (2005).
An, S. Y., Petrescu, A. D. & DeMorrow, S. Targeting certain interleukins as novel treatment options for liver fibrosis. Front. Pharmacol. 12, 645703 (2021).
Popov, Y. & Schuppan, D. Targeting liver fibrosis: Strategies for development and validation of antifibrotic therapies. Hepatology 50, 1294–1306 (2009).
Lin, C.-Y., Adhikary, P. & Cheng, K. Cellular protein markers, therapeutics, and drug delivery strategies in the treatment of diabetes-associated liver fibrosis. Adv. Drug Deliver Rev. https://doi.org/10.1016/j.addr.2021.04.008 (2021).
Rudraiah, S., Zhang, X. & Wang, L. Nuclear receptors as therapeutic targets in liver disease: Are we there yet?. Annu. Rev. Pharmacol. 56, 605–626 (2016).
Kerr, T. A. & Davidson, N. O. Therapeutic RNA manipulation in liver disease. Hepatology 51, 1055–1061 (2010).
Ohnishi, H., Oka, K., Mizuno, S. & Nakamura, T. Identification of mannose receptor as receptor for hepatocyte growth factor β-chain novel ligand-receptor pathway for enhancing macrophage phagocytosis*. J. Biol. Chem. 287, 13371–13381 (2012).
Hong, C. & Tontonoz, P. Liver X receptors in lipid metabolism: Opportunities for drug discovery. Nat. Rev. Drug Discov. 13, 433–444 (2014).
Yu, B., Mamedov, R., Fuhler, G. M. & Peppelenbosch, M. P. Drug discovery in liver disease using kinome profiling. Int. J. Mol. Sci. 22, 2623 (2021).
Amput, P. et al. The effects of proprotein convertase subtilisin/kexin type 9 inhibitors on lipid metabolism and cardiovascular function. Biomed. Pharmacother. 109, 1171–1180 (2019).
Graham, M. J. et al. Antisense inhibition of proprotein convertase subtilisin/kexin type 9 reduces serum LDL in hyperlipidemic mice. J. Lipid Res. 48, 763–767 (2007).
Gupta, N. et al. A locked nucleic acid antisense oligonucleotide (LNA) silences PCSK9 and enhances LDLR expression In vitro and in vivo. PLoS ONE 5, e10682 (2010).
Grefhorst, A., McNutt, M. C., Lagace, T. A. & Horton, J. D. Plasma PCSK9 preferentially reduces liver LDL receptors in mice*. J. Lipid Res. 49, 1303–1311 (2008).
Cariou, B. et al. PCSK9 dominant negative mutant results in increased LDL catabolic rate and familial hypobetalipoproteinemia. Arteriosclerosis Thrombosis Vasc. Biol. 29, 2191–2197 (2009).
Lagace, T. A. et al. Secreted PCSK9 decreases the number of LDL receptors in hepatocytes and inlivers of parabiotic mice. J. Clin. Invest. 116, 2995–3005 (2006).
Zaid, A. et al. Proprotein convertase subtilisin/kexin type 9 (PCSK9): Hepatocyte-specific low-density lipoprotein receptor degradation and critical role in mouse liver regeneration. Hepatology 48, 646–654 (2008).
Barbour, K. W. et al. The murine alpha(1)-proteinase inhibitor gene family: Polymorphism, chromosomal location, and structure. Genomics 80, 515–522 (2002).
Eggenschwiler, R. et al. A combined in silico and in vitro study on mouse Serpina1a antitrypsin-deficiency mutants. Sci. Rep. 9, 7486 (2019).
Borriello, F. & Krauter, K. S. Multiple murine alpha 1-protease inhibitor genes show unusual evolutionary divergence. Proc. Natl. Acad. Sci. 88, 9417–9421 (1991).
Goodwin, R. L., Baumann, H. & Berger, F. G. Patterns of divergence during evolution of alpha 1-proteinase inhibitors in mammals. Mol. Biol. Evol. 13, 346–358 (1996).
Goodwin, R. L., Barbour, K. W. & Berger, F. G. Expression of the alpha 1-proteinase inhibitor gene family during evolution of the genus Mus. Mol. Biol. Evol. 14, 420–427 (1997).
Zuberi, A. & Lutz, C. Mouse Models for Drug Discovery. Can New Tools and Technology Improve Translational Power? Ilar J 57, 178–185 (2016).
Webster, J. D., Santagostino, S. F. & Foreman, O. Applications and considerations for the use of genetically engineered mouse models in drug development. Cell Tissue Res. 380, 325–340 (2020).
Li, Q. et al. Applications of genome editing technology in animal disease modeling and gene therapy. Comput. Struct. Biotechnol. J. 17, 689–698 (2019).
Lee, H. Genetically engineered mouse models for drug development and preclinical trials. Biomol. Ther. 22, 267–274 (2014).
Mouse Models for Drug Discovery, Methods and Protocols. (Humana Press, 2016). https://doi.org/10.1007/978-1-4939-3661-8.
von Scheidt, M. et al. Applications and limitations of mouse models for understanding human atherosclerosis. Cell Metab. 25, 248–261 (2017).
McGonigle, P. & Ruggeri, B. Animal models of human disease: Challenges in enabling translation. Biochem. Pharmacol. 87, 162–171 (2014).
Yue, F. et al. A comparative encyclopedia of DNA elements in the mouse genome. Nature 515, 355–364 (2014).
Perlman, R. L. Mouse models of human disease. Evol. Med. Public Heal 2016, 170–176 (2016).
Rydell-Törmänen, K. & Johnson, J. R. The applicability of mouse models to the study of human disease. Mouse Cell Cult 1940, 3–22 (2018).
Doncheva, N. T. et al. Human pathways in animal models: Possibilities and limitations. Nucleic Acids Res. 49, 1859–1871 (2021).
Monaco, G., van Dam, S., Ribeiro, J. L. C. N., Larbi, A. & de Magalhães, J. P. A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels. BMC Evol. Biol. 15, 259 (2015).
Ercetin, E. et al. Clinical significance of SERPINA1 gene and its encoded Alpha1-antitrypsin protein in NSCLC. Cancers 11, 1306 (2019).
Jiang, L. & Hu, L. G. Serpin peptidase inhibitor clade A member 1-overexpression in gastric cancer promotes tumor progression in vitro and is associated with poor prognosis. Oncol. Lett. 20, 278 (2020).
Kwon, C. H. et al. Snail and serpinA1 promote tumor progression and predict prognosis in colorectal cancer. Oncotarget 6, 20312–20326 (2015).
Farshchian, M. et al. Serpin peptidase inhibitor clade A Member 1 (SerpinA1) is a novel biomarker for progression of cutaneous squamous cell carcinoma. Am. J. Pathol. 179, 1110–1119 (2011).
Chan, H. J. et al. SERPINA1 is a direct estrogen receptor target gene and a predictor of survival in breast cancer patients. Oncotarget 6, 25815–25827 (2015).
Louloudis, G. et al. Adeno-associated virus-mediated gain-of-function mPCSK9 expression in the mouse induces hypercholesterolemia, Monocytosis, Neutrophilia, and a Hypercoagulative State. Front. Cardiovasc. Med. 8, 718741 (2021).
Takahara, H. & Sinohara, H. Mouse plasma trypsin inhibitors. Isolation and characterization of alpha-1-antitrypsin and contrapsin, a novel trypsin inhibitor. J. Biol. Chem. 257, 2438–2446 (1982).
Joshi, R. et al. Sex-specific differences in emphysema using a murine antisense oligonucleotide model of α-1 antitrypsin deficiency. Am. J. Physiol. Lung C 316, L1165–L1173 (2019).
Otto, G. P. et al. Clinical chemistry reference intervals for C57BL/6J, C57BL/6N, and C3HeB/FeJ mice (Mus musculus). J. Am. Assoc. Lab. Anim. Sci. Jaalas 55, 375–386 (2016).
Link, J. C. et al. Increased high-density lipoprotein cholesterol levels in mice with XX versus XY sex chromosomes. Arteriosclerosis Thrombosis Vasc. Biol. 35, 1778–1786 (2015).
Bruell, J. H., Daroczy, A. F. & Hellerstein, H. K. Strain and sex differences in serum cholesterol levels of mice. Science 135, 1071–1072 (1962).
Roubtsova, A. et al. PCSK9 deficiency unmasks a sex- and tissue-specific subcellular distribution of the LDL and VLDL receptors in mice[S]. J. Lipid Res. 56, 2133–2142 (2015).
Gemberling, M. P. et al. Transgenic mice for in vivo epigenome editing with CRISPR-based systems. Nat. Methods 18, 965–974 (2021).
Hunt, C. et al. Tissue-specific activation of gene expression by the synergistic activation mediator (SAM) CRISPRa system in mice. Nat. Commun. 12, 2770 (2021).
Zhou, H. et al. In vivo simultaneous transcriptional activation of multiple genes in the brain using CRISPR–dCas9-activator transgenic mice. Nat. Neurosci. 21, 440–446 (2018).
Schoger, E. et al. CRISPR-mediated activation of endogenous gene expression in the postnatal heart. Circ. Res. 126, 6–24 (2019).
Chu, V. T. et al. Efficient generation of Rosa26 knock-in mice using CRISPR/Cas9 in C57BL/6 zygotes. BMC Biotechnol. 16, 4 (2016).
Kasparek, P. et al. Efficient gene targeting of the Rosa26 locus in mouse zygotes using TALE nucleases. Febs. Lett. 588, 3982–3988 (2014).
Tchorz, J. S. et al. A modified RMCE-compatible Rosa26 locus for the expression of transgenes from exogenous promoters. PLoS ONE 7, e30011 (2012).
Giel-Moloney, M., Krause, D. S., Chen, G., Etten, R. A. V. & Leiter, A. B. Ubiquitous and uniform in vivo fluorescence in ROSA26-EGFP BAC transgenic mice. Genesis 45, 83–89 (2007).
Hitoshi, N., Ken-ichi, Y. & Jun-ichi, M. Efficient selection for high-expression transfectants with a novel eukaryotic vector. Gene 108, 193–199 (1991).
Xiao, C. et al. MiR-150 controls B cell differentiation by targeting the transcription factor c-Myb. Cell 131, 146–159 (2007).
Ewen-Campen, B. et al. Optimized strategy for in vivo Cas9-activation in Drosophila. Proc. Natl. Acad. Sci. 114, 9409–9414 (2017).
Cheng, A. W. et al. Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator system. Cell Res. 23, 1163–1171 (2013).
Zincarelli, C., Soltys, S., Rengo, G. & Rabinowitz, J. E. Analysis of AAV serotypes 1–9 mediated gene expression and tropism in mice after systemic injection. Mol. Ther. 16, 1073–1080 (2008).
Aronson, S. J. et al. Liver-directed gene therapy results in long-term correction of progressive familial intrahepatic cholestasis type 3 in mice. J. Hepatol. 71, 153–162 (2019).
Wang, L. et al. Systematic evaluation of AAV vectors for liver directed gene transfer in murine models. Mol. Ther. 18, 118–125 (2010).
Barthet, V. J. A. et al. Autophagy suppresses the formation of hepatocyte-derived cancer-initiating ductular progenitor cells in the liver. Sci. Adv. 7, eabf9141 (2021).
Chen, B. et al. Dynamic imaging of genomic loci in living human cells by an optimized CRISPR/Cas system. Cell 155, 1479–1491 (2013).
Dang, Y. et al. Optimizing sgRNA structure to improve CRISPR-Cas9 knockout efficiency. Genome Biol. 16, 280 (2015).
Horlbeck, M. A. et al. Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. Elife 5, e19760 (2016).
Strobel, B. et al. Standardized, scalable, and timely flexible adeno-associated virus vector production using frozen high-density HEK-293 cell stocks and CELLdiscs. Hum. Gene Ther. Method 30, 23–33 (2019).
Strobel, B., Miller, F. D., Rist, W. & Lamla, T. Comparative analysis of cesium chloride- and iodixanol-based purification of recombinant adeno-associated viral vectors for preclinical applications. Hum. Gene Ther. Method 26, 147–157 (2015).
We thank Christine Mayer for performing the SERPINA1A protein analysis and Eva Martin for measuring Serpina1 expression. Finally, we thank Dr. Paul Nicklin and Dr. Scott Hobson for proofreading of the manuscript.
All authors are employees of Boehringer Ingelheim Pharma GmbH & Co. KG and the study was funded entirely by Boehringer Ingelheim Pharma GmbH & Co. KG.
The authors declare no competing interests.
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Pakalniškytė, D., Schönberger, T., Strobel, B. et al. Rosa26-LSL-dCas9-VPR: a versatile mouse model for tissue specific and simultaneous activation of multiple genes for drug discovery. Sci Rep 12, 19268 (2022). https://doi.org/10.1038/s41598-022-23127-7