Dataset Information

Galectin-1-dependent ceRNA network in HRMECs revealed its association with retinal neovascularization

ABSTRACT: Background: Retinal neovascularization (RNV) is a leading cause of blindness worldwide. Long non-coding RNA (lncRNA) and competing endogenous RNA (ceRNA) regulatory networks play vital roles in angiogenesis. The RNA-binding protein galectin-1 (Gal-1) participates in pathological RNV in oxygen-induced retinopathy mouse models. However, the molecular associations between Gal-1 and lncRNAs remain unclear. Herein, we aimed to explore the potential mechanism of action of Gal-1 as an RNA-binding protein. Results: A comprehensive network of Gal-1, ceRNAs, and neovascularization-related genes was constructed based on transcriptome chip data and bioinformatics analysis of human retinal microvascular endothelial cells. We also conducted functional enrichment and pathway enrichment analyses. Fourteen lncRNAs, twenty-nine miRNAs, and eleven differentially expressed angiogenic genes were included in the Gal-1/ceRNA network. WT1-AS, LINC01140, and LUCAT1 were situated at the center of the network. Additionally, several key angiogenic genes, such as apelin, angiomotin, and C-X-C motif chemokine ligand 10, were found to potentionally interact with Gal-1 via the ceRNA axis. Furthermore, Gal-1 may be involved in regulating biological processes related to chemotaxis, chemokine-mediated signaling, the immune response, and the inflammatory response. Conclusions: The Gal-1/ceRNA axis identified in this study may play a vital role in RNV. This study provides a foundation for the continued exploration of therapeutic targets and biomarkers associated with RNV.

ORGANISM(S): Homo sapiens

PROVIDER: GSE221037 | GEO | 2023/06/21

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Background: Retinal neovascularization (RNV) as a result of retinal ischemia, such as in proliferative diabetic retinopathy (PDR) and retinopathy of prematurity (ROP), can lead to vitreous hemorrhage, tractional retinal detachment, and irreversible loss of vision if left untreated. Although panretinal laser photocoagulation and anti-vascular endothelial growth factor (VEGF) injections are efficient treatment modalities, a significant number of patients do not respond to either treatment. This clinical finding suggests that other, previously unrecognized mediators and signaling pathways may contribute to RNV development and could represent valuable targets for future treatments. Methods: In search of phylogenetically conserved angiogenic mediators, we examined the transcriptional profile of murine RNV from C57BL/6J mice (n=14) in the oxygen-induced retinopathy (OIR) model as well as human RNV membranes from PDR patients (n=7), who had undergone vitrectomy and compared them with corresponding control tissues (n=13, 10 respectively). Genes that were differentially expressed (DEGs) between RNV and control samples were identified for human and murine samples and their associated gene ontology (GO) clusters analyzed. Lastly, human and murine DEGs were compared to identify phylogenetically conserved factors. Findings: Transcriptional profiles of murine RNV showed that DEGs linked to the activation of the innate immune system (Msn, Cd34), extracellular matrix organisation (Col4a1, Gfap), and regulation of angiogenesis (Col4a2, Fgf2) were significantly upregulated both at the ischemic, preproliferative stage of the disease (OIR p14) as well as at the proliferative stage (OIR p17). While similar GO terms were upregulated in human RNV, only a small overlap in DEGs between both species was detected. Phylogenetically conserved mediators upregulated in both murine and human RNV included ANGPT2, S100A8, MCAM, EDNRA, MRC1, and CCR7. Interpretation: This study identifies phylogenetically conserved inflammatory and pro-angiogenic mediators that are significantly upregulated in both murine and human RNV. Among them, MCAM, ENDRA and MRC1 emerged as the most upregulated, phylogenetically conserved DEGs not yet implicated in human RNV, thus representing potential new treatment targets for ischemic retinal diseases.

Project description:Background: Proliferative diabetic retinopathy (PDR) is hallmarked by the formation of retinal neovascularization (RNV) membranes, which can lead to a tractional retinal detachment, the primary reason for severe vision loss in end-stage disease. The aim of this study was to characterize the molecular and cellular features of RNV in order to unravel potential novel drug treatments for PDR. Methods: A total of 42 patients undergoing vitrectomy for PDR, macular pucker or macular hole (control patients) were included in this study. The surgically removed RNV and epiretinal membranes were analyzed by RNA sequencing, single-cell based Imaging Mass Cytometry and conventional immunohistochemistry. Since macrophages were found to be abundant in RNV tissue, vitreal macrophages, also known as hyalocytes, were isolated from the vitreous of patients with PDR by flow cytometry, cultivated and characterized by immunhistochemistry. A bioinformatical drug repurposing approach was applied, in order to identify novel drug options for end-stage diabetic retinopathy disease. Results: The in-depth transcriptional and single-cell protein analysis of diabetic RNV tissue samples revealed an accumulation of endothelial cells, macrophages and myofibroblasts as well as an abundance of secreted ECM proteins such as SPARC, FN1 and several types of collagen in RNV tissue. The immunohistochemical staining of cultivated vitreal hyalocytes from patients with PDR showed that hyalocytes express α-SMA (alpha-smooth muscle actin), a classic myofibroblast marker. According to our drug repurposing analysis, imatinib emerged as a potential drug option for future treatment of PDR. Conclusion: This study delivers the first in-depth transcriptional and single-cell proteomic characterization of RNV tissue samples. Our data suggest an important role of hyalocyte-to-myofibroblast transdifferentiation in the pathogenesis of diabetic vitreoretinal disease and suggests their modulation as a novel possible clinical approach.

Dataset Information

Galectin-1-dependent ceRNA network in HRMECs revealed its association with retinal neovascularization

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure