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1Cluster of Excellence CellNetworks, Department of Infectious Diseases, Virology, Heidelberg University, 2Department of Infectious Diseases, Virology, Heidelberg University
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We demonstrate the basic technique to molecularly engineer and evolve synthetic Adeno-associated viral (AAV) gene therapy vectors via DNA family shuffling. Moreover, we provide general guidelines and representative examples for selection and analysis of individual chimeric capsids with enhanced properties on target cells in culture or in mice.
Kienle, E., Senís, E., Börner, K., Niopek, D., Wiedtke, E., Grosse, S., et al. Engineering and Evolution of Synthetic Adeno-Associated Virus (AAV) Gene Therapy Vectors via DNA Family Shuffling. J. Vis. Exp. (62), e3819, doi:10.3791/3819 (2012).
Adeno-associated viral (AAV) vectors represent some of the most potent and promising vehicles for therapeutic human gene transfer due to a unique combination of beneficial properties1. These include the apathogenicity of the underlying wildtype viruses and the highly advanced methodologies for production of high-titer, high-purity and clinical-grade recombinant vectors2. A further particular advantage of the AAV system over other viruses is the availability of a wealth of naturally occurring serotypes which differ in essential properties yet can all be easily engineered as vectors using a common protocol1,2. Moreover, a number of groups including our own have recently devised strategies to use these natural viruses as templates for the creation of synthetic vectors which either combine the assets of multiple input serotypes, or which enhance the properties of a single isolate. The respective technologies to achieve these goals are either DNA family shuffling3, i.e. fragmentation of various AAV capsid genes followed by their re-assembly based on partial homologies (typically >80% for most AAV serotypes), or peptide display4,5, i.e. insertion of usually seven amino acids into an exposed loop of the viral capsid where the peptide ideally mediates re-targeting to a desired cell type. For maximum success, both methods are applied in a high-throughput fashion whereby the protocols are up-scaled to yield libraries of around one million distinct capsid variants. Each clone is then comprised of a unique combination of numerous parental viruses (DNA shuffling approach) or contains a distinctive peptide within the same viral backbone (peptide display approach). The subsequent final step is iterative selection of such a library on target cells in order to enrich for individual capsids fulfilling most or ideally all requirements of the selection process. The latter preferably combines positive pressure, such as growth on a certain cell type of interest, with negative selection, for instance elimination of all capsids reacting with anti-AAV antibodies. This combination increases chances that synthetic capsids surviving the selection match the needs of the given application in a manner that would probably not have been found in any naturally occurring AAV isolate. Here, we focus on the DNA family shuffling method as the theoretically and experimentally more challenging of the two technologies. We describe and demonstrate all essential steps for the generation and selection of shuffled AAV libraries (Fig. 1), and then discuss the pitfalls and critical aspects of the protocols that one needs to be aware of in order to succeed with molecular AAV evolution.
1. Preparation of Plasmid Sets Encoding AAV Capsid Genes
2. DNase-based Cap Gene Fragmentation
3. DNA Family Shuffling
Optional at step 3.6: To calculate the exact library diversity, plate an aliquot of the 800 ml solution (prior to the 16 h incubation) on LB-ampicillin plates (e.g., 10 μl on a 10 cm plate) and count colonies the next day. Also, to validate high shuffling efficiencies, sequence e.g. 24 clones and align them to the parental cap genes (see also Fig. 8). Finally, to confirm library vitality and high functional diversity, subclone randomly picked cap genes into an AAV helper plasmid and use them to produce and analyse recombinant vectors in small scale (Figs. 4-5) (see also step 5.4 below).
4. Production of Viral Library
5. Screening and Selection
6. Representative Results
Use of the protocol outlined here typically results in viral libraries with a diversity of about 1x106 unique capsids which can then be screened for single particles displaying most or all desired properties on a given cell line or in animals. In the following, we will provide representative examples for results from such in vitro or in vivo screenings.
Prior to that, however, we consider it important to again point out the usefulness of analysing individual clones from the original plasmid library for their functionality and diversity (optional at step 3.6). This is because the latter two parameters are utmost critical prerequisites for the success of selection of the actual viral library that is made from the plasmid library. Therefore, one can randomly pick single shuffled cap genes and use them to produce recombinant AAV vectors (crude extracts or purified particles, depending on the desired degree of accuracy) expressing an easily detectable and quantifiable reporter gene. A typical assay to compare the different capsid variants is then fluorescence microscopy, as shown in the representative example in Fig. 4.
An alternative method is FACS-based measurement of fluorescent reporter gene expression which holds the extra benefits that it also allows for the determination of gene expression per cell, plus that it works for suspension cells. Fig. 5 shows a typical result from such a FACS-based analysis of crude AAV vector lysates in various cell types.
Because the above described selection of individual cap chimeras is random and restricted, it is of course not useful as an actual approach for enrichment of desired candidates. Instead, selection of the viral library in target cells or tissues in animals is more appropriate. As the conditions and parameters will vary with each application, we will only highlight a few representative guidelines and results.
The easiest selection is iterative library amplification on cultured cell lines or primary cells (step 5.2). Since AAV requires Adenovirus co-infection for its propagation, the target cells must be susceptible for Adenovirus. One can then grow and infect them e.g. in 6-well plates which hold sufficient cell numbers per well to ensure full coverage of the library. A second important notion is that the balance of AAV and Adenovirus is delicate; too much AAV will inhibit the Adenovirus, while an excess of the latter will kill the cells (unlike AAV, Adenovirus causes lytic infections) before the AAVs could replicate.
However, since library infectivity on a certain cell type is unknown, finding "good" AAV:Adenovirus ratios at which both can propagate requires parallel testing of various combinations of doses of the library and the adenoviral helper (e.g., 10:1, 1:1 and 1:10). A good measure for potent Adenovirus infection is the occurrence of cytopathic effects three days after virus inoculation, evidenced by cell rounding and detaching as seen in Fig. 6. Vice versa, a useful read-out for AAV infection and amplification is detection of capsid proteins by Western blotting, using the B1 antibody that recognizes a highly conserved AAV capsid epitope (Fig. 7)7.
An important decision is then which crude AAV extracts to pick for subsequent re-infection of fresh cells (step 5.2). Ideally, one will take those where the AAV capsid bands are least notable (Fig. 7) because these suggest a tight genotype-phenotype linkage. The latter describes the situation in which a genome encoding a certain capsid variant is actually packaged into the corresponding capsid. To achieve and maintain a tight genotype-phenotype linkage is key to successful selection of individual viral candidates as it in turn ensures that capsids with desired properties deliver the cognate genetic template into the cells during successive infection rounds. Therefore, we recommend to pick the crude extracts with moderate capsid expression for re-infection and to use minimal amounts. Together, these two measures will prevent overloading of the newly infected cells with different capsid/genome combinations which could otherwise perturb the genotype-phenotype linkage once the re-infected viruses start replicating and re-packaging their genomes into non-cognate capsids.
In addition, it is critical to monitor library diversity during repeated infections rounds by DNA sequencing. Ideally, one will notice shifts in the composition of individual clones indicative of successful selection, i.e., accumulation of distinct serotype fragments and losses of others, as exemplified in Fig. 8. In the perfect case, only a few or even a single clone will ultimately be detected which can then be analysed as described above. If, however, no shifts are observed after four or five passages, one should either increase the selection pressure (see Discussion) or consider that the cell line used may be inappropriate because it may be too susceptible to too many serotypes.
For library amplification in vivo (step 5.3), the same rules and considerations apply, with two critical differences: Firstly, one does not screen randomly selected clones in animals due to the associated costs and ethical considerations. Secondly, one will not co-infect with helper Adenovirus as it causes toxicities or fatalities in animals, plus the adenoviral tropism would restrict selection to cells susceptible to the helper virus. Instead, the AAV library is infused into the animals, rescued from the target cells/tissue by PCR (Fig. 9) and then re-cloned and re-packaged for a new infection round. As with selection in culture, this process is repeated until individual candidates have emerged.
Regardless of selection procedure, the final step is validation of the enriched capsid variants in appropriate systems. Figs. 10 and 11 show representative examples from our own previous selection of AAV chimeras that perform exceptionally well in tissue culture or in livers of mice. As seen in Fig. 10, one particular clone (AAV-DJ3) indeed outperforms a collection of eight natural AAV wildtypes in a broad range of cell lines. Finally, another clone selected in cultured hepatoma lines exhibits a higher tropism for the murine liver and accordingly less off-targeting when peripherally infused into adult mice than the potent AAV8 control vector tested in direct comparison (Fig. 11). Note that albeit being more specific for the liver, clone AAV-DN actually transduces this organ a bit less efficient than AAV8. In this respect, AAV-DN is a good representative example for the outcome of AAV evolution and selection where final candidates typically exhibit a number of desired properties but are not necessarily perfect in all aspects.
Figure 1. Scheme: Synthetic AAV capsid engineering via DNA family shuffling and subsequent selection in cells or in animals. Protocol steps are highlighted in grey.
Figure 2. AAV cap gene donor and recipient plasmids used in our lab for DNA family shuffling and library generation. Note that these are only representative examples, and that the exact sites and sequences can be customized. Our basic donor plasmid is derived from the commercially available pBlueScript II KS(+) vector which we engineered to contain the shown primer binding as well as restriction sites, depicted by arrows or triangles, respectively. We then cloned the cap genes of AAV serotypes 1-9 (amplified with primers capF/R) into this plasmid, to become flanked by Pac I and Asc I restriction sites. Primers T3 and T7 are used for the cap isolation in step 2.2, while later amplification of re-assembled chimeric sequences (step 3.2) can be accomplished using either primer pairs SAF/R or CUF/R, or both in a nested PCR. The replication-competent recipient plasmid carries AAV inverted terminal repeats (ITRs, replication and packaging signals) flanking the AAV2 rep gene under the control of the AAV p5 promoter. Pac I and Asc I restriction sites downstream of rep allow for "in frame" cloning of the pool of shuffled cap genes. The shown Lseq primer binding sites are useful for cap gene sequencing (step 3.6).
Figure 3. Example for DNase I digest of cap genes (AAV2, 8 and 9). Shown is an agarose gel electrophoresis analysis of the products of cap gene digests using the indicated different incubation times (in minutes:seconds). Lane U shows the undigested input cap fragment pool as control. Sizes of DNA marker bands in lanes M are in kilobases. In this example, ideal digests were obtained with incubation times of 1:45 or 2:00 min, which yielded the preferred predominant peak around 100 to 500 base pairs (yellow box).
Figure 4. Example for microscopy-based analysis of three human cell lines infected with five different recombinant Yfp-expressing AAV vectors (names on top) made with shuffled cap genes randomly selected from an original library based on AAV2, 8 and 9.
Figure 5. Example for FACS-based analysis of four cell types infected (at serial ten-fold dilutions) with 18 different recombinant Yfp-expressing AAV vectors (names on top, including those from Fig. 4) made with shuffled cap genes randomly selected from an original library (AAV2, 8 and 9). Yfp expression was color-coded for easier visualization. Depicted are percentages of transduced cells, whereby black always indicates 0% and white the highest number measured in each cell type. Clone B2 (red) exemplifies a clone with poor overall efficacy, as can be expected from unselected capsids. Note that FACS analysis is more sensitive and can also be used for suspension cells (such as SupT1) that are less amenable to microscopy. hu, human; mu, murine.
Figure 6. Typical appearance of cytopathic effects in cells (HeLa in this case) after productive co-infection with AAV and Adenovirus. Cells were either left uninfected (top left panel) or infected with the indicated amounts (particles per cell) of Adenovirus.
Figure 7. Detection of AAV capsid protein expression by Western blotting as a measure for library infection and amplification. The left blot shows cells co-infected with various volumes (in μl) of an AAV library and helper Adenovirus. The first two lanes are good examples for conditions yielding barely detectable AAV protein expression, indicating sufficient but not excessive AAV infection and amplification and hence the desired tight genotype-phenotype linkage. Thus, 0.1, 1 or 10 μl of these supernatants were used for re-infection of fresh cells (right blot). Cells in lane C were infected with AAV alone as a negative control (no detectable expression due to the absence of the helpervirus).
Figure 8. Comparisons of protein sequences (numbers are amino acids) of AAV clones from a library based on AAV2, 8 and 9 before and after selection. Sequences above the red line show the parental AAVs. Purple arrows indicate homologous recombination events. The red arrow marks a cross-over between AAV2 and AAV9 noted in all selected clones.
Figure 9. Rescue of successfully infected AAV clones from mouse tissues via PCR. In this example, AAV cap genes were PCR-amplified from mouse livers extracted one week after peripheral library infusion, using primer pair SAF/R (Fig. 2). Lane 1 shows the expected 2.2 kilobase band, while lane 2 is a non-template control. Following Pac I and Asc I restriction, the amplified fragments were re-cloned into the original recipient plasmid (Fig. 2) for subsequent production and re-infusion of a secondary library. Sizes of DNA marker bands in lanes M are indicated in kilobases.
Figure 10. Example for superior performance of an enriched AAV chimera in cultured cells. Clone AAV-DJ has been reported by us before3; it mostly represents a hybrid between AAV serotypes 2, 8 and 9, and has been selected from a library containing these three plus five additional serotypes in human liver cells in the presence of pooled human antisera. To compare its efficiency to eight natural AAV serotypes (indicated by 1-6, 8 and 9 on top), all cap genes were used to produce purified self-complementary Gfp-expressing vectors8,19. These were normalized to contain 2x109 vector genomes per ml and then used to transduce the shown cell lines at ten-fold serial dilutions Three days later, Gfp-expressing cells were counted and infectious titers were determined by taking into account the dilution factor. In contrast to the code in Fig. 5, darker colors here indicate higher infectivities per particle number. As is evident, the selected AAV-DJ chimera outperforms all natural AAV wildtypes, exemplifying the success of the applied selection scheme. fibr, fibroblasts; ha, hamster; hu, human; mu, murine; si, simian.
Figure 11. Example for analysis of a selected AAV chimera in mouse liver. Clone AAV-DN was selected on murine hepatoma cells and then used to produce luciferase-expressing recombinant vectors8. Shown are representative mice (three per group) one week after peripheral infusion of equal doses of this vector or a control based on wildtype AAV8, one of the most potent known natural isolates in mouse liver9. Note that while the AAV-DN clone gives slightly less overall expression in the liver (panel (I)), it is more specific for this organ since it exhibits substantially less off-targeting in non-hepatic tissues once the liver expression levels have been adjusted via the imaging software (panel (II)).
Here, we have outlined essential experimental steps and guidelines for AAV capsid engineering via DNA family shuffling and for evolution in cells or in animals. In essence, these protocols are standardized versions of the procedures we first reported within the AAV field in 20083. While a flurry of follow-up studies by others have reported numerous modifications e.g.,10-13, our present versions represent basic strategies yielding reproducible results while being amenable to up-scaling and adaptation to any needs.
Despite our efforts to standardize the entire procedure, some steps still require trial-and-error-based approaches. This particularly applies to the cap gene fragmentation due to the fact that DNase I is highly sensitive to the reaction conditions, such as the incubation time (see the examples in Fig. 3). We obtain the best results with starting fragments in a range of 100 to 500 base pairs and thus recommend to try various DNase conditions (e.g., amounts of enzyme and incubation times) until the gel picture resembles the boxed lanes in Fig. 3.
It is likewise impossible to fully standardize the individual steps during library selection in cell culture. As mentioned, one critical aspect is the uncertainty about the infectivity of a new library or of Adenovirus in a given cell type, requiring indirect measurements such as the described Western blotting. Fortuitously, based on our experience, finding "good" AAV/Adenovirus inoculation volumes usually only takes a few parallel efforts.
Similar considerations apply to AAV library selection in animals which also ideally involves simultaneous testing of several parameters (e.g., doses of the viral library, time point of harvest after inoculation, injection route) due to a lack of experimental options to directly predict library infectivity in vivo. Generally, it is important to note that in vivo selection is usually far more physiologically relevant, for several reasons including the well known discrepancy between AAV infectivities in vitro and in vivo3. Moreover, in vivo evolution permits to infuse the library in the same way that will ultimately be used in a clinical setting. This provides the chance to not only enrich for capsids that potently infect a desired cell type, but importantly do so from an acceptable delivery route.
Regardless of selection system, we generally consider it preferable to combine positive and negative pressures as it will increase chances of enriching individual candidates. One reason for the latter is the likelihood that capsids solely selected under positive pressure (e.g., growth on a certain cell type) may also still potently infect other cells sharing (a) cellular receptor(s). A second reason is that the target cell type might already be susceptible to several input viruses from the library, reducing chances to enrich even more efficient capsids in the absence of additional negative pressure.
One example for the latter that we have successfully used before is library amplification in the presence of pooled human antisera containing antibodies against AAV serotypes that are prevalent in the human population. Unlike less stringent selection procedures applied in parallel, only this combination of positive and negative pressure allowed us to extract a single clone (AAV-DJ, Fig. 10) out of a library of roughly 7x105 variants3.
In any case, we wish to restate the importance of testing multiple lead capsids emerging from a selection scheme, and not just the top candidate. In fact, it is well possible that the second or third most dominating clones are equally or even more useful than the lead candidate, and/or may exhibit further desirable phenotypes for the given application. We hence recommend to always pick at least two more capsids from the final list of candidates after completion of a selection protocol and to study them as outlined in step 5.4.
Last but not least, we wish to reiterate that DNA family shuffling is not the only AAV engineering method. Alternative approaches include the introduction of random point mutations into a particular AAV cap gene via error-prone PCR14,15 as well as the display of peptide libraries in exposed areas of a specific AAV capsid4,5. While a comprehensive discussion or comparison of these approaches can be found elsewhere16-18, we can readily conclude that in view of this plethora of options, the future for the field of AAV engineering and evolution is certainly very bright and has probably only just begun.
All authors declare that they have nothing to disclose.
The authors gratefully acknowledge outstanding support of their lab, team members and work by the Cluster of Excellence CellNetworks at Heidelberg University as well as by the Chica and Heinz Schaller (CHS) foundation. We appreciate that molecular AAV evolution via DNA family shuffling has become a very active field since our initial publication three years ago and therefore apologize to all authors of relevant publications whose work could not be quoted here due to space constraints.
|Restriction enzymes||New England Biolabs||Various|
|T4 DNA Ligase||New England Biolabs||M0202T|
|Gel extraction kit||Qiagen||28704|
|Phusion II polymerase Kit||Finnzymes||F-540S|
|HotStar Hifi polymerase Kit||Qiagen||202602|
|DMSO||Finnzymes||F-540S (part of kit)|
|EDTA (25 mM)||Invitrogen||18068-015 (part of kit)|
|Tris||Carl Roth Gmbh||4855.2|
|Ampicilin sodium salt||Carl Roth Gmbh||K029.2|
|dNTPs (10 mM, 100 μl)||Invitrogen||18427013|
|Phenolred||Merck & Co., Inc.||107241|
|Plasmid mega prep kit||Qiagen||12181|
|Ultracentrifuge||Beckman Coulter Inc.||Optima L90K|
|Quick-Seal centrifuge tubes||Beckman Coulter Inc.||342414|
|Thermal cycler||Eppendorf||Vapo Protect|
|Fluorescence microscope||Olympus Corporation||IX81|
|FACS analyser||Beckman Coulter Inc.||Cytomics FC500 MLP|
|MegaX DH10B T1R cells||Invitrogen||C640003|
|Benzonase||Merck & Co., Inc.||101695|
|pBlueScript II KS(+) plasmid||Stratagene, Agilent Technologies||212207|
|cap5F (Pac I site in yellow, cap5-specific sequences in bold): GACTCTTAATTAACAGGTATGTCTTTTGTTGATCACCCTCC||IDT||Custom primer|
|cap5R (Asc I site in green, cap5-specific sequences in bold): GTGAGGGCGCGCCTTAAAGGGGTCGGGTAAGGTATC||IDT||Custom primer|
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