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Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [RNA-seq]

ABSTRACT: Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [RNA-seq]

PROVIDER: PRJNA748404 | ENA |

REPOSITORIES: ENA

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Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [miRNA-seq]

Project description:Diabetes mellitus (DM) is a complex metabolic disorder. Long-term hyperglycemia may induce diabetic keratopathy (DK), which is mainly characterized by delayed corneal epithelial regeneration. MicroRNAs (miRNAs) have been reported to play regulatory roles during tissue regeneration. However, the molecular mechanism by which miRNAs influence epithelial regeneration in DK is largely unknown. In this study, we performed miRNA and mRNA sequencing of regenerative corneal epithelium tissue from streptozotocin-induced type 1 diabetic (T1DM) and wild-type mice to screen for differentially expressed miRNAs and mRNAs. Based on regulatory network analysis, miR-223-5p was selected for subsequent experiments and Hpgds was then identified as a direct target gene. MiR-223-5p downregulation significantly promoted diabetic corneal epithelial wound healing and nerve regeneration. However, the beneficial effects of miR-223-5p inhibition were abolished by an Hpgds inhibitor. Furthermore, mechanistic studies demonstrated that miR-223-5p suppression ameliorated inflammation and enhanced cell proliferation signaling in DK. Taken together, our findings revealed that the regulatory role of miR-223-5p in diabetic corneal epithelial and nerve regeneration by mediating inflammatory processes and cell proliferation signaling. And silencing miR-223-5p may contribute to the development of potential therapeutic strategies for DK.

2021-08-23 | GSE180493 | GEO

Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [RNA-seq]

2021-08-23 | GSE180490 | GEO

Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration

Project description:Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration

| PRJNA748997 | ENA

Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [miRNA-seq]

Project description:Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration [miRNA-seq]

| PRJNA748413 | ENA

scRNAseq of diabetic corneal epithelium

Project description:We performed single cell transcriptional profiling of mouse corneal epithelium in streptozotocin-induced diabetic mice.

2022-12-19 | GSE182477 | GEO

Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration

Project description: Not available

| S-EPMC8427436 | biostudies-literature

Transcriptional Network Analysis Reveals the Role of miR-223-5p During Diabetic Corneal Epithelial Regeneration

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-08-23 | GSE180634 | GEO

Human Corneal microRNA Expression Profile in Fungal Keratitis

Project description:MicroRNAs (miRNAs) are small, stable non-coding RNA molecules with regulatory function and marked tissue specificity that post-transcriptionally regulate gene expression, however their role in fungal keratitis remain unknown. Our purpose was to identify the miRNAs in human cornea from fungal keratitis patients and understand their key role in regulation of pathogenesis. Corneal samples from normal cadaver (n=3) and fungal keratitis (n=5) patients were pooled separately and total RNA was extracted. Deep sequencing was done using Illumina HiSeq1000 platform to identify miRNA profile. We identified seventy five differentially expressed miRNAs in fungal keratitis corneas. Select miRNAs were validated by real-time RT-PCR (Q-PCR). We predicted their role in regulating target genes in several pathways by combining miRNA target genes and pathway analysis, and mRNA expression of select target genes were further analysed by Q-PCR. MiR-21-5p, miR-223-3p, miR-146b-5p, miR-155-5p, miR-511-5p were found to be involved in inflammatory and immune responses, regulating Toll like receptor signaling pathways, which is of particular interest. MiR-451a with an increased expression in keratitis may have a role in wound healing by targeting Macrophage Migration Inhibitory Factor (MIF). Further, we highlighted that Neurotrophin signaling pathway may play a role in wound healing process. One novel miRNA was also detected in cornea. In conclusion, several miRNAs with high expression in fungal keratitis corneas point towards their role in regulation of pathogenesis. Further insights in understanding miRNAs role in wound healing and inflammation may help design new therapeutic strategies. Control and fungal keratitis, human corneal miRNA profiles were generated using IlluminaHiseq1000 platform

2016-07-28 | E-GEOD-64843 | biostudies-arrayexpress

Novel RvD6 stereoisomer induces corneal nerve regeneration and wound healing post-injury by modulating trigeminal transcriptomic signature

Project description:We performed the RNA-seq analysis to unravel the underlying mechanism of corneal nerve regeneration after treatment with our identified RvD6 isomer and RvD6 standard.

2020-03-18 | GSE138685 | GEO

Whole-transcriptome sequencing analysis of streptozocin-induced diabetic and non-diabetic control rats

Project description:Diabetes mellitus is a complex metabolic disorder. Long-term hyperglycemia may induce diabetic keratopathy, which is mainly characterized by decreased tear secretion, damaged innervation, weakened cell junctions, and impaired wound healing responses. To investigate the differential expressed genes in the regulation of diabetic keratopathy, we established streptozocin-induced diabetic and non-diabetic control male Brown Norway rats. Total RNA was extracted from the corneal epithelium rats, and were subjected to whole-transcriptome sequencing analysis. Firstly, Cutadapt was used to remove the reads that contained adaptor contamination, low quality bases and undetermined bases. Then sequence quality was verified using FastQC(http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). We used Bowtie2 and Hisat2to map reads to the genome from corneal epithelium of streptozocin-induced diabetic and non-diabetic control rats. The mapped reads of each sample were assembled using String Tie. Then, all transcriptomes from corneal epithelium Samples were merged to reconstruct a comprehensive transcriptome using perl scripts. We then performed gene expression profiling analysis using data obtained from RNA-seq of 6 corneas from STZ-induced diabetic rats and 6 corneas from normal controls.

2024-04-03 | GSE227165 | GEO

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