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International Journal of Ophthalmology
Article . 2025 . Peer-reviewed
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Key immune regulators in retinal ischemia-reperfusion injury via RNA sequencing

Authors: Shan He; Cui-Ying Liu; Chang-Hong Ren; Ting-Ting Meng; Heng Zhao; Xu-Xiang Zhang;

Key immune regulators in retinal ischemia-reperfusion injury via RNA sequencing

Abstract

AIM: To explore the immune cell infiltration and molecular mechanisms of retinal ischemia-reperfusion injury (RIRI) to identify potential therapeutic targets. METHODS: In the bulk RNA-seq analysis, This study performed differential gene expression analysis, weighted gene co-expression network analysis, and protein-protein interaction network analysis to identify hub genes. QuanTIseq was used to determine the composition of infiltrating immune cells. Following the identification of hub genes, single-cell RNA-seq analysis was employed to pinpoint the specific immune cell types expressing these hub genes. Cell-cell communication analysis to explore signaling pathways and interactions between immune cells was further performed. Finally, the expression of these key immune regulators in vivo using quantitative real-time polymerase chain reaction (qRT-PCR) was validated. RESULTS: Bulk RNA-seq analysis identified Stat2, Irf7, Irgm1, Igtp, Parp9, Irgm2, Nlrc5, and Tap1 as hub genes, with strong correlations to immune cell infiltration. Single-cell RNA-seq analysis further revealed six immune cell clusters, showing Irf7 predominantly in microglia and Tap1 in dendritic cells (DCs). And cell-cell communication analysis showed that microglia and DCs play central roles in coordinating immune activity. qRT-PCR validated the upregulation of these genes. CONCLUSION: In the acute phase of RIRI, Irf7 and Tap1 may be the potential therapeutic targets to reduce inflammation and promote neurological function recovery.

Keywords

Ophthalmology, immune cell infiltration, rna sequencing, RE1-994, retinal ischemia-reperfusion injury, key immune regulators, single-cell rna sequencing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold