Single-cell sequencing in diabetic retinopathy: progress and prospects

Area of Science:

• Ophthalmology
• Genomics
• Molecular Biology

Background:

• Diabetic retinopathy is a leading cause of vision loss in diabetic adults, stemming from retinal microvascular damage.
• Bulk RNA sequencing lacks the resolution to capture cellular diversity in the retina.
• Single-cell RNA sequencing (scRNA-seq) offers a high-resolution approach to study retinal cells.

Purpose of the Study:

• To review the protocols and applications of scRNA-seq in understanding normal and diabetic retinopathy-affected retinas.
• To highlight how scRNA-seq aids in identifying novel cell subtypes and understanding intercellular communication.
• To emphasize the potential of scRNA-seq in developing new therapeutic strategies for diabetic retinopathy.

Main Methods:

• Discusses protocols for isolating single retinal cells and generating accurate sequencing data.
• Reviews the application of scRNA-seq for analyzing retinal organoids and extracellular vesicles.
• Explores advanced techniques like single-cell multi-omics and stereo-sequencing.

Main Results:

• scRNA-seq overcomes bulk sequencing limitations by providing single-cell transcriptomic data.
• Enables the creation of detailed retinal cell atlases and identification of cell-specific transcriptomic features.
• Facilitates the study of cellular heterogeneity, developmental trajectories, and cell-cell interactions in the retina.

Conclusions:

• scRNA-seq significantly enhances the understanding of diabetic retinopathy pathogenesis.
• These technologies offer powerful tools for dissecting retinal cellular complexity.
• Advancements in scRNA-seq hold promise for discovering novel therapeutic targets for diabetic retinopathy.