Single-cell sequencing in diabetic retinopathy: progress and prospects
Abstract Diabetic retinopathy is a major ocular complication of diabetes, characterized by progressive retinal microvascular damage and significant visual impairment in working-age adults. Traditional bulk RNA sequencing offers overall gene expression profiles but does not account for cellular heter...
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BMC
2025-01-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | https://doi.org/10.1186/s12967-024-06066-x |
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| author | Tianshu Yang Ningzhi Zhang Ning Yang |
| author_facet | Tianshu Yang Ningzhi Zhang Ning Yang |
| author_sort | Tianshu Yang |
| collection | DOAJ |
| description | Abstract Diabetic retinopathy is a major ocular complication of diabetes, characterized by progressive retinal microvascular damage and significant visual impairment in working-age adults. Traditional bulk RNA sequencing offers overall gene expression profiles but does not account for cellular heterogeneity. Single-cell RNA sequencing overcomes this limitation by providing transcriptomic data at the individual cell level and distinguishing novel cell subtypes, developmental trajectories, and intercellular communications. Researchers can use single-cell sequencing to draw retinal cell atlases and identify the transcriptomic features of retinal cells, enhancing our understanding of the pathogenesis and pathological changes in diabetic retinopathy. Additionally, single-cell sequencing is widely employed to analyze retinal organoids and single extracellular vesicles. Single-cell multi-omics sequencing integrates omics information, whereas stereo-sequencing analyzes gene expression and spatiotemporal data simultaneously. This review discusses the protocols of single-cell sequencing for obtaining single cells from retina and accurate sequencing data. It highlights the applications and advancements of single-cell sequencing in the study of normal retinas and the pathological changes associated with diabetic retinopathy. This underscores the potential of these technologies to deepen our understanding of the pathogenesis of diabetic retinopathy that may lead to the introduction of new therapeutic strategies. Graphical abstract |
| format | Article |
| id | doaj-art-1839ee3e2a584922bee016fab35afb1b |
| institution | Kabale University |
| issn | 1479-5876 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj-art-1839ee3e2a584922bee016fab35afb1b2025-01-19T12:37:09ZengBMCJournal of Translational Medicine1479-58762025-01-0123111310.1186/s12967-024-06066-xSingle-cell sequencing in diabetic retinopathy: progress and prospectsTianshu Yang0Ningzhi Zhang1Ning Yang2Department of Ophthalmology, Renmin Hospital of Wuhan UniversityDepartment of Ophthalmology, Renmin Hospital of Wuhan UniversityDepartment of Ophthalmology, Renmin Hospital of Wuhan UniversityAbstract Diabetic retinopathy is a major ocular complication of diabetes, characterized by progressive retinal microvascular damage and significant visual impairment in working-age adults. Traditional bulk RNA sequencing offers overall gene expression profiles but does not account for cellular heterogeneity. Single-cell RNA sequencing overcomes this limitation by providing transcriptomic data at the individual cell level and distinguishing novel cell subtypes, developmental trajectories, and intercellular communications. Researchers can use single-cell sequencing to draw retinal cell atlases and identify the transcriptomic features of retinal cells, enhancing our understanding of the pathogenesis and pathological changes in diabetic retinopathy. Additionally, single-cell sequencing is widely employed to analyze retinal organoids and single extracellular vesicles. Single-cell multi-omics sequencing integrates omics information, whereas stereo-sequencing analyzes gene expression and spatiotemporal data simultaneously. This review discusses the protocols of single-cell sequencing for obtaining single cells from retina and accurate sequencing data. It highlights the applications and advancements of single-cell sequencing in the study of normal retinas and the pathological changes associated with diabetic retinopathy. This underscores the potential of these technologies to deepen our understanding of the pathogenesis of diabetic retinopathy that may lead to the introduction of new therapeutic strategies. Graphical abstracthttps://doi.org/10.1186/s12967-024-06066-xDiabetic retinopathySingle-cell RNA sequencingRetinal cell atlasSingle-cell multi-omics sequencingSpatial multi-omics sequencing |
| spellingShingle | Tianshu Yang Ningzhi Zhang Ning Yang Single-cell sequencing in diabetic retinopathy: progress and prospects Journal of Translational Medicine Diabetic retinopathy Single-cell RNA sequencing Retinal cell atlas Single-cell multi-omics sequencing Spatial multi-omics sequencing |
| title | Single-cell sequencing in diabetic retinopathy: progress and prospects |
| title_full | Single-cell sequencing in diabetic retinopathy: progress and prospects |
| title_fullStr | Single-cell sequencing in diabetic retinopathy: progress and prospects |
| title_full_unstemmed | Single-cell sequencing in diabetic retinopathy: progress and prospects |
| title_short | Single-cell sequencing in diabetic retinopathy: progress and prospects |
| title_sort | single cell sequencing in diabetic retinopathy progress and prospects |
| topic | Diabetic retinopathy Single-cell RNA sequencing Retinal cell atlas Single-cell multi-omics sequencing Spatial multi-omics sequencing |
| url | https://doi.org/10.1186/s12967-024-06066-x |
| work_keys_str_mv | AT tianshuyang singlecellsequencingindiabeticretinopathyprogressandprospects AT ningzhizhang singlecellsequencingindiabeticretinopathyprogressandprospects AT ningyang singlecellsequencingindiabeticretinopathyprogressandprospects |