RNA-Seq Analysis of Trans-Differentiated ARPE-19 Cells Transduced by AAV9-AIPL1 Vectors.
Alima GalievaAlexander D EgorovAlexander MalogolovkinAndrew BrovinAlexander V KarabelskyPublished in: International journal of molecular sciences (2023)
Inherited retinal disorders (IRD) have become a primary focus of gene therapy research since the success of adeno-associated virus-based therapeutics (voretigene neparvovec-rzyl) for Leber congenital amaurosis type 2 (LCA2). Dozens of monogenic IRDs could be potentially treated with a similar approach using an adeno-associated virus (AAV) to transfer a functional gene into the retina. Here, we present the results of the design, production, and in vitro testing of the AAV serotype 9 (AAV9) vector carrying the codon-optimized (co) copy of aryl hydrocarbon receptor-interacting protein like-1 ( AIPL1 ) as a possible treatment for LCA4. The pAAV-AIPL1co was able to successfully transduce retinal pigment epithelium cells (ARPE-19) and initiate the expression of human AIPL1 . Intriguingly, cells transduced with AAV9-AIPL1co showed much less antiviral response than AAV9-AIPL1wt (wild-type AIPL1 ) transduced. RNA-sequencing (RNA-seq) analysis of trans-differentiated ARPE-19 cells transduced with AAV9-AIPL1co demonstrated significant differences in the expression of genes involved in the innate immune response. In contrast, AAV9-AIPL1wt induced the prominent activation of multiple interferon-stimulated genes. The key part of the possible regulatory molecular mechanism is the activation of dsRNA-responsive antiviral oligoadenylate synthetases, and a significant increase in the level of histone coding genes' transcripts overrepresented in RNA-seq data (i.e., H1, H2A, H2B, H3, and H4). The RNA-seq data suggests that AAV9-AIPL1co exhibiting less immunogenicity than AAV9-AIPL1wt can be used for potency testing, using relevant animal models to develop future therapeutics for LCA4.
Keyphrases
- gene therapy
- rna seq
- single cell
- induced apoptosis
- immune response
- cell cycle arrest
- magnetic resonance imaging
- machine learning
- endoplasmic reticulum stress
- magnetic resonance
- computed tomography
- gene expression
- big data
- cell death
- copy number
- dendritic cells
- small molecule
- electronic health record
- oxidative stress
- inflammatory response
- diabetic retinopathy
- drug delivery
- amino acid
- current status
- deep learning
- stress induced
- newly diagnosed