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AAV Serotypes and Tropism

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Integrated AAV Offerings: From Cutting-Edge Products to Advanced Custom Services

Overcoming AAV Technology Challenges with Expertly Tailored Vector Design and Production 

AAV Serotypes: An Overview

Adeno-associated virus (AAV) vectors are widely used in gene therapy due to their efficient transduction, long-term gene expression, low immunogenicity, and favorable safety profile. Each AAV serotype has distinct capsid proteins that determine its tropism—its preference for infecting specific cell types or tissues. To date, at least 13 natural AAV serotypes and over 100 variants have been identified, many of which have received regulatory approval for therapeutic use. These serotypes exhibit diverse tissue tropism and utilize a range of receptors and co-receptors for cellular entry.

Approved AAV-based Gene Therapies

Drug Disease AAV Serotype Target Approval
Glybera LPLD AAV1 Muscle EMA, 2012
Luxturna RPE65-LCA AAV2 Retina FDA, 2017
Zolgensma SMA AAV9 Brain FDA, 2019
Upstaza AADC AAV2 Brain EMA, 2022
Roctavian Hemophilia A AAV5 Liver EMA, 2022
EtranaDez Hemophilia B AAV5 Liver FDA, 2022
ELEVIDYS DMD AAVrh74 Muscle FDA, 2023


AAV Receptors and Co-receptors

AAV serotypes utilize different primary receptors and co-receptors to mediate cell entry, which influences their tropism and transduction efficiency:

Serotype Primary Receptor Co-receptor
AAV1 α2-3 N-linked SIA and AAVR Unknown
AAV2 HSPG and AAVR FGFR1, αVβ5 integrin, α5β1 integrin, HGFR, LR, CD9
AAV3/AAV3B HSPG and AAVR FGFR1, HGFR, LR
AAV4 α2-3 O-linked SIA Unknown
AAV5 α2-3 N-linked SIA and AAVR PDGFRα and PDGFRβ
AAV6 HSPG, α2-3 and α2-6 N-linked SIA, AAVR EGFR
AAV7 Unknown Unknown
AAV8 LR and AAVR Unknown
AAV9 Terminal N-linked galactose, AAVR LR, putative integrin
AAV11 Unknown Unknown
AAV12 Putative mannose and mannosamine Unknown
AAV13 Unknown HSPG
AAVrh.10 LacNAc and AAVR Unknown

​Pre-made Collections of AAV Serotype Testing Kits

 

AAV Serotype Testing Kits provide a quicker method to identify a specific subset of AAV serotypes by measuring the expression levels of fluorescent proteins (EGFP, mCherry, TdTomato) or luciferases (Gluc, Rluc, Fluc, Cluc). This approach is particularly useful when researchers have a clear understanding of the target cell lines or tissues and seek a streamlined way to narrow down their choices to a few optimal AAV serotypes.

In this category, 15 most used AAV serotypes (AAV1, AAV2, AAV3B, AAV5, AAV6, AAV7, AAV8, AAV9, AAV11, AAV12, AAV13, AAV-DJ, AAVrh.10, AAVrh.74, and AAV2-Retro) are included in each kit. The vectors carry fluorescent protein (EGFP, mCherry, TdTomato) or reporter luciferase (Fluc, Rluc, Cluc, Gluc), which is driven by a promoter (CAG, CMV, EF1a or hSyn). The kits are pretended to provide useful tools for customers, with minimum cost, in testing AAV transduction efficiency, testing tissue specific tropism related to serotypes, and using as negative control to examine whether the observed biological effects come from specific transgenes. We also provide custom AAV Capsid Kits developing services.


SKU Name Feature System
PK0001 AAV Serotype Testing Kit-CAG-EGFP  CAG-EGFP 
PK0002 AAV Serotype Testing Kit-CAG-mCherry CAG-mCherry
PK0003 AAV Serotype Testing Kit-CMV-mCherry CMV-mCherry
PK0004 AAV Serotype Testing Kit-CAG-TdTomato CAG-TdTomato
PK0005 AAV Serotype Testing Kit-CMV-Fluc CMV-Fluc
PK0006 AAV Serotype Testing Kit-EF1a-EGFP EF1a-EGFP
PK0007 AAV Serotype Testing Kit-EF1a-mCherry EF1a-mCherry
PK0009 AAV Serotype Testing Kit-hSyn-mCherry hSyn-mCherry

AAV Tropism Analysis with Barcode-seq Technology

Barcode-seq Technology for AAV Evaluation

With the diversity of natural AAV serotypes and the continuous engineering of novel variants, the quest to design tailor-made capsids that can effectively target specific cell types and tissues is crucial for the success of gene therapies. However, the traditional methods of evaluating AAV vectors—such as qPCR, blotting techniques, RT-qPCR, fluorescent reporter assays, and immunohistochemistry—often require significant effort and resources, especially when dealing with a large number of AAV variants. These methods are also prone to inconsistencies across experiments and can limit the exploration of superior AAV candidates.

To overcome these challenges, Barcode-seq technology has been developed as a high-throughput and cost-efficient method for simultaneously comparing multiple AAV variants. This innovative approach allows for the parallel evaluation of numerous AAV capsid or promoter variants, providing a streamlined process to identify the most effective AAVs for specific therapeutic applications.

Barcode-seq (Barcode Sequencing) leverages the capabilities of deep sequencing platforms, such as Illumina’s amplicon-seq, to evaluate AAV vectors. In this method, AAV capsid or promoter variants are encoded with unique DNA sequences called barcodes. These barcodes act as unique identifiers that allow researchers to track and quantify the transduction efficiency and expression levels of each AAV variant in cells or tissues. To minimize any potential influence that barcodes may have on transgene expression, each AAV variant is typically paired with multiple barcodes.


How Barcode-seq Technology Works

 AAVnerGene's ATHENA I Known Capsid Library utilizes a single capsid variant equipped with three distinct barcodes. By analyzing the frequency of these barcodes in the sequencing results, researchers can deduce the transduction efficiency and expression level of each corresponding AAV variant.
 

Case 1: AAV Serotypes and Their Tropism in C57B6 Mouse

 

AAV Capsid Library(I) was systematically injection into C57B6 mouse. All tissues were collected at 2 weeks post injection. All data shows the enrichment folds of barcodes (BCs) in tissues relative to the input viruses, obtained by NGS analysis.


AAV Serotypes and Their Tropism in C57B6 Mouse

Conclusion: 
RNA Level: The AAV serotype with the best overall performance in different tissues is AAV9, followed by AAVrh.10.
DNA Level: The two AAV serotypes with the best overall performance are AAV-DJ and AAVrh.74.


 
Tissue Top Performing Serotypes (DNA Level) Top Performing Serotypes (RNA Level)
Brain AAVrh.74, AAV9, AAVrh.10, AAV11 AAV9, AAVrh.10
Heart AAVrh.74, AAV11, AAV-DJ, AAVrh.10, AAV8 AAV-DJ, AAV9, AAVrh.10
Kidney AAV-DJ, AAV8, AAV3B, AAVrh.74 AAV9, AAV8, AAVrh.10, AAV7
Liver AAV-DJ, AAVrh.74, AAV8 AAV8, AAVrh.10, AAV-DJ
Lung AAV11, AAV5 AAV9, AAV11, AAVrh.10
 


Case 2: AAV Tropism in Different Brain Regions(B6C3 mouse)

Ranking of RNA expression of 15 commonly used AAV serotypes in different regions of B6C3 brain after systematically injection of AAV Capsid Library(I).  


AAV Tropism in Different Brain Regions(B6C3 mouse)
 

Conclusion:
The AAV9 is the best AAV serotypes with ability to crossing blood brain barrier (BBB) in B6C3 mice. It ranks in 1 for cerebellum, cortex hypothalamus, midbrain, striatum and hippocampus.  AAV2 may have relative specific expression in Striatum.

 

Case 3: Performance of Crossing BBB Capsids in B6C3 Mice

AAV Capsid Library(I) was systematically injection into B6C3 mouse. All tissues were collected at 2 weeks post injection. All data shows RNA expression folds compared with AAV9.

Performance of Crossing BBB Capsids in B6C3 Mice

 

Conclusion:
Among the tested AAV capsids, AAV9P31 demonstrated the highest efficiency in most brain tissues (cerebellum, cortex hypothalamus, midbrain, striatum and hippocampus), followed by AAV-F, AAV-MDV1A, AAV-PHP.C2, AAV-PHP.eB, AAV-PHP.B, and AAV-PHP.B3.

scRNA-AAVseq for AAV Tropism Analysis

Analyzing AAV tropism in different tissues is challenging due to the complexity of cell types and the diversity of hundreds of AAV serotypes and variants. To address these challenges, Biohippo, in collaboration with AAVnerGene, has developed a novel pipeline called scRNA-AAVseq (single-cell RNA-AAV barcode sequencing). This advanced technique allows for in vivo characterization of barcoded AAV pools at an unprecedented single-cell resolution, enabling a deep and detailed understanding of AAV tropism across various tissues and cell types.

Overview of the scRNA-AAVseq Workflow

Injection of Barcoded AAV Variants:
Multiple barcoded AAVs are pooled and injected into the target organism, such as mice, via retro-orbital injection. This enables the distribution of different AAV variants across multiple tissues and cell types.

Tissue Dissociation and Single-Cell Isolation:
After sufficient expression time, tissues (e.g., cortex) are harvested and dissociated into single-cell suspensions. This step involves tissue dissociation, preparation of single-cell suspensions, and droplet-based sorting to isolate single cells.

Library Preparation and Sequencing:
Single-cell libraries are prepared using droplet-based sequencing platforms such as Illumina NGS. Both cell transcriptomes and viral variant transcripts are processed for sequencing.
The transcriptome aliquots undergo the standard library construction protocol, further amplified using AAV barcode-specific primers to enrich AAV capsids. These amplified viral transcripts are then sequenced separately to generate NGS libraries.

Data Processing and Analysis:
The single-cell transcriptome analysis is performed using CeleScope 2.0 and annotated with in-house software. The sequencing reads from amplified viral transcripts are used to quantify the abundance of each viral barcode associated with each cell barcode and unique molecular identifier (UMI).
The most abundant viral barcode for each cell barcode and UMI is assumed to be the correct viral barcode, which is then used to construct a variant lookup table for further analysis.



Application: AAV Tropism Analysis in PBMCs

In a specific example, the ATHENA-I library, containing 463 AAVs, was used to infect Peripheral Blood Mononuclear Cells (PBMCs) at a multiplicity of infection (MOI) of 2e5 vg/cell. Samples were collected 5 days post-infection for detailed analysis.
scRNA-seq for AAV Tropism Analysis in PBMCs
Subgrouping of Major Cell Types: Major cell types (e.g., CD4+ T cells, CD8+ T cells, B cells, monocytes, NK cells, etc.) were identified following scRNA-seq analysis.
Overlap Between Cell Types and AAVs: Visualization of the overlap between cell types and AAV variants helped identify which AAV serotypes preferentially target specific cell types.
AAV Positive Rates in Each Cell Type: The proportion of AAV-positive cells within each cell type was calculated to determine AAV transduction efficiency.
Log2 RNA Fold Changes Across Different AAVs: Differential expression analysis was conducted to compare AAV-mediated transcriptional changes across different AAVs relative to AAV6.

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