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Quantitative single-cell transcriptome-based ranking of engineered AAVs in human retinal explants

ABSTRACT: Gene therapy is a rapidly developing field, and adeno-associated virus (AAV) is a leading viral vector candidate for therapeutic gene delivery. Newly engineered AAVs with improved abilities are now entering the clinic. It has proven challenging, however, to predict the translational potential of gene therapies developed in animal models, due to cross-species differences. Human retinal explants are the only available model of fully developed human retinal tissue, and are thus important for the validation of candidate AAV vectors. In this study, we evaluated 18 wildtype and engineered AAV capsids in human retinal explants using a recently developed single-cell RNA-Seq AAV engineering pipeline (scAAVengr). Human retinal explants retain the same major cell types as fresh retina, with similar expression of cell-specific markers, except for a photoreceptor population with altered expression of photoreceptor-specific genes. The efficiency and tropism of AAVs in human explants was quantified, with single cell resolution. The top performing serotypes, K91, K912, and 7m8, were further validated in non-human primate and human retinal explants. Together, this study provides detailed information about the transcriptome profiles of retinal explants, and quantifies the infectivity of leading AAV serotypes in human retina, accelerating the translation of retinal gene therapies to the clinic.

ORGANISM(S): Homo sapiens

PROVIDER: GSE199840 | GEO | 2022/04/28

REPOSITORIES: GEO

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scAAVengr, a transcriptome-based pipeline for quantitative ranking of engineered AAVs with single-cell resolution

Project description:Adeno-associated virus (AAV)-mediated gene therapies are rapidly advancing to the clinic, and AAV engineering has resulted in vectors with increased ability to deliver therapeutic genes. Although the choice of vector is critical, quantitative comparison of AAVs, especially in large animals, remains challenging. Here, we developed an efficient single-cell AAV engineering pipeline (scAAVengr) to simultaneously quantify and rank efficiency of competing AAV vectors across all cell types in the same animal. To demonstrate proof-of-concept for the scAAVengr workflow, we quantified – with cell-type resolution – the abilities of naturally occurring and newly engineered AAVs to mediate gene expression in primate retina following intravitreal injection. A top performing variant identified using this pipeline, K912, was used to deliver SaCas9 and edit the rhodopsin gene in macaque retina, resulting in editing efficiency similar to infection rates detected by the scAAVengr workflow. scAAVengr was then used to identify top-performing AAV variants in mouse brain, heart and liver following systemic injection. These results validate scAAVengr as a powerful method for development of AAV vectors.

2021-10-19 | GSE161645 | GEO

In vitro and in vivo proteomic comparison of human neural progenitor cell-induced photoreceptor survival

Project description:Retinal degenerative diseases are some of the leading causes of blindness with few treatments. Various cell-based therapies have aimed to slow the progression of vision loss by preserving light-sensing photoreceptor cells. A subretinal injection of human neural progenitor cells (hNPCs) into the Royal College of Surgeons (RCS) rat model of retinal degeneration has aided in photoreceptor survival, though the mechanisms are mainly unknown. Identifying the retinal proteomic changes that occur following hNPC treatment will lead to better understanding of neuroprotection. To mimic the retinal environment following hNPC injection, a co-culture system of retinas and hNPCs was developed. Less cell death occurred in RCS retinal tissue co-cultured with hNPCs than in retinas cultured alone, suggesting that hNPCs provide retinal protection in vitro. Comparison of ex vivo and in vivo retinas identified NRF2-mediated oxidative response signaling as an hNPC-induced pathway. This is the first study to compare proteomic changes following treatment with hNPCs in both an ex vivo and in vivo environment, further allowing the use of ex vivo modeling for mechanisms of retinal preservation. Elucidation of the protein changes in the retina following hNPC treatment may lead to the discovery of mechanisms of photoreceptor survival and its therapeutic for clinical applications.

2018-12-17 | PXD011491 | Pride

Quantitative single-cell transcriptome-based ranking of engineered AAVs in human retinal explants

Project description:Quantitative single-cell transcriptome-based ranking of engineered AAVs in human retinal explants

| PRJNA821677 | ENA

Investigating cone photoreceptor development using patient-derived NRLnull retinal organoids

Project description:Photoreceptor loss is a leading cause of blindness, but mechanisms underlying photoreceptor degeneration are not well understood. Treatment strategies would benefit from an improved understanding of gene-expression patterns directing photoreceptor development, as many genes are implicated in both development and degeneration. Neural retina leucine zipper (NRL) is critical for rod photoreceptor genesis and degeneration, with NRL mutations known to cause enhanced S-cone syndrome and retinitis pigmentosa. While murine Nrl loss has been characterized, studies of human NRL can identify important insights for human retinal disease. Here we utilized human organoid models of retinal development to molecularly define developmental alterations in a human model of NRL loss. Consistent with the function of NRL in rod fate specification, human retinal organoids lacking NRL develop S-opsin dominant photoreceptor populations. We report generation of two distinct S-opsin expressing populations in NRL null retinal organoids and identify MEF2C as a candidate regulator of cone development.

2020-01-15 | GSE143669 | GEO

Protective gene expression changes elicited by an inherited defect in photoreceptor structure.

Project description:To investigate pathogenic mechanisms in such instances, we have characterized rod photoreceptor and retinal gene expression changes in response to a defined insult to photoreceptor structure, using the retinal degeneration slow (rds) mouse model. Global gene expression profiling was performed on flow-sorted rds and wild-type rod photoreceptors immediately prior and subsequent to times at which OSs are normally elaborated. Dysregulated genes were identified via microarray hybridization, and selected candidates were validated using quantitative PCR analyses. We identified a single key gene, Egr1, that was dysregulated in a sustained fashion in rds rod photoreceptors and in the retina. Egr1 upregulation was associated with microglial activation and migration, into the outer retina at times subsequent to the major peak of photoreceptor cell death. Interestingly, this response was accompanied by neurotrophic factor upregulation. We hypothesize that activation of Egr1 and neurotrophic factors represents a protective immune mechanism, contributing to the characteristically slow retinal degeneration of the rds mouse model. We had two conditions WT and Rds-KO at 4 different time points: postnatal (P) 6, P9, P14 and P21.

2011-12-31 | E-GEOD-33134 | biostudies-arrayexpress

RNA-Seq of mouse eye and retina tissues from wild type and Nrl transcription factor knockout mice

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2011-06-07 | E-GEOD-29752 | biostudies-arrayexpress

Transcriptome profiling of developing photoreceptor subtypes reveals candidate genes for avian photoreceptor diversification

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2014-09-01 | E-GEOD-59850 | biostudies-arrayexpress

Single cell RNA-seq of CRX+ cells obtained at day 90 of retinal organoid differentiation

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2019-04-01 | GSE112507 | GEO

Transcription profiling of zebrafish retinal development and photoreceptor regeneration to investigate the roles of midkine-a and midkine-b

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2009-01-13 | E-GEOD-13999 | biostudies-arrayexpress

Lysophosphatidylcholine acyltransferase 1 controls the mitochondrial reactive oxygen species generation and survival of the retinal photoreceptor cells [P8 photoreceptor]

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2022-01-01 | GSE184817 | GEO

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