Effect of IL-1a-deficiency on neutrophil gene expression during P. aeruginosa infection of the corneas
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE201086 | GEO | 2022/07/01
REPOSITORIES: GEO
Similar Datasets
Project description:Purpose: We compared the levels of miRNA specific for DEGs in isograft corneas with those in normal corneas, as well as the levels of miRNA specific for DEGs in allograft corneas with those in isograft corneas, to gain a better understanding of molecular variables that affect corneal graft rejection pathways. Methods: Illumina Hiseq 2500 deep sequencing was used to screen for differentially expressed genes (DEGs) in matched pairs of isograft corneas and normal corneas, allograft corneas and isograft corneas. Potential target genes among the DEGs were predicted using target prediction software (TargetScan, Miranda, miRDB, and CLIP), and the overlay portion was analyzed using the Gene Ontology (GO) database and the Kyoto Encyclopedia of Genes and Genomes (KEGG). An analysis of the interactions between DEG proteins (PPI analysis) and a MetaCore software analysis. Results: Our results showed that 22 miRNAs were significantly upregulated and 4 were significantly downregulated in the isograft group when compared with the control group (P < 0.01), while 17 miRNAs were significantly upregulated and 3 were significantly downregulated in the allograft group when compared with the isograft group (P < 0.01). Among the miRNAs with altered expression levels, miR-155-5p, miR-142-3p, miR-142-5p, and miR-223-3p displayed simultaneous changes in the above two comparisons. Potential target genes among the DEGs were predicted using target prediction software, and the overlay portion was analyzed using the Gene Ontology (GO) database and the Kyoto Encyclopedia of Genes and Genomes (KEGG). GO and KEGG analyses showed that the DEGs were mainly involved in metabolic pathways, cytokine secretion, and tumor immunity functions. An analysis of the interactions between DEG proteins (PPI analysis) and a MetaCore software analysis of 4 key DEGs revealed that the genes regulated by miR-155-5p played important roles in the miRNA-mRNA regulatory network. Furthermore, the MetaCore analysis identified C/EBP beta, p53, and sp1 as key transcription factors in that network. Conclusions: Our study identified transplanted corneas-specific miRNA in matched pairs of isograft corneas and normal corneas, allograft corneas and isograft corneas. Furthermore, bioinformatics analysis of the key miRNA regulatory network revealed the molecular mechanisms, which suggests miRNAs may as new molecular targets for treating corneal injuries and corneal transplant rejection
2018-04-28 | GSE113787 | GEO
Project description:Effect of IL-1a-deficiency on neutrophil gene expression during P. aeruginosa infection of the corneas
| PRJNA828264 | ENA
Project description:Characteristic structural details of the cornea are transparency, the absence of blood vessels, and the presence of numerous sensory nerve endings. The corneal epithelium is one of the most densely innervated tissues of the body. The characteristics of the cornea are established during fetal development, and are lost in adult life when the cornea regenerates after injury. The common reaction of the cornea to injury is the formation of opaque scars, the ingrowth of blood vessels, and distinct changes in the innervation pattern. Scar formation of the cornea is critically modulated by the expression of transforming growth factor-beta (TGF-beta). To identify genes that are important for corneal transparency, dense innervation and absence of blood vessels by comparing corneas from wildtype mice with those that are under the influence of high doses of TGF-beta. Transparency, dense innervation, and absence of blood vessels in the cornea all depend on the expression of a critical set of genes that are not expressed when TGF-beta is present. Mice were generated that overexpress TGF-beta under control of a strong lens-specific promoter. These mice developed opaque corneas that are vascularized and lack sensory nerves. In addition, these corneas were densely populated with cells expressing neural cell adhesion protein. RNA was isolated from corneas of transgenic animals and wildtype littermates in order to analyze differentially expressed genes and to identify those that are only expressed in transparent, avascular, and densely innervated wildtype corneas.
2008-06-15 | E-GEOD-6676 | biostudies-arrayexpress
Project description:P. aeruginosa PAO1 PA2663-UW expression in biofilm cells relative to P. aeruginosa PAO1 WT-UW expression in biofilm cells. All samples cultured in LB with glass wool. Keywords: Mutation
2008-05-29 | GSE7968 | GEO
Project description:Purpose: Klf5 plays a critical role in the mouse ocular surface (Kenchegowda et al., 2011. Dev Biol. 356:5-18). Here, we compare wild-type (WT) and Klf5-conditional null (Klf5CN) corneal gene expression at postnatal day-11 (PN11) and PN56 to identify the Klf5-target genes. Methods: Gene expression was compared using Affymetrix microarrays with QPCR validation. Transient transfection assays examined the effect of Klf5 on selected target gene promoter activities. Whole-mount corneal immunofluorescent staining examined neovascularization and CD45+ macrophage influx. Results: Expression of 714 and 753 genes was increased, and 299 and 210 genes decreased in PN11 and PN56 Klf5CN corneas, respectively, with 366 concordant increases, 72 concordant decreases and 3 discordant changes. Canonical pathway analysis identified 35 and 34 significantly (p<0.001) enriched pathways at PN11 and PN56, respectively, with 24 common pathways. PN56 Klf5CN corneas shared 327 increases and 91 decreases with the previously described Klf4CN corneas (Swamynathan et al., 2008. IOVS 49:3360-70). Angiogenesis and immune response-related genes were affected consistent with lymphangiogenesis and macrophage influx in Klf5CN corneas, respectively. Expression of 1574 genes was increased and 1915 decreased, in the WT PN56 compared with PN11 corneas. Expression of many collagens, matrix metalloproteinases and other extracellular matrix associated genes decreased in WT corneas between PN11 and PN56, while that of solute carrier family members increased. Conclusions: Differences in PN11 and PN56 corneal Klf5-target genes reveal dynamic changes in Klf5 functions during corneal maturation. Klf4- and Klf5-target genes do not overlap, consistent with their non-redundant roles in the mouse cornea. Wild type and Klf5-conditional null mouse corneal gene expression at postnatal day-11 and -56 was compared by Affymetrix mouse whole genome 430 2 arrays. Four age-matched PN56 WT and Klf5CN mice, and 3 age-matched PN11 WT and Klf5CN mice each were used for comparison of corneal gene expression by microarrays. Two dissected corneas from each mouse were pooled for isolation of total RNA using the RNeasy Mini kit (Qiagen, Germantown, MD). The quality and integrity of the isolated total RNA was confirmed using an Agilent Bioanalyzer. Total RNAs were amplified and labeled using a 3' IVT Express Kit (Affymetrix Inc., Santa Clara, CA), and hybridized to Affymetrix MG 430 2 chips following the protocol suggested by the manufacturer.
2012-12-25 | E-GEOD-36229 | biostudies-arrayexpress
Project description:Purpose: Klf5 plays a critical role in the mouse ocular surface (Kenchegowda et al., 2011. Dev Biol. 356:5-18). Here, we compare wild-type (WT) and Klf5-conditional null (Klf5CN) corneal gene expression at postnatal day-11 (PN11) and PN56 to identify the Klf5-target genes. Methods: Gene expression was compared using Affymetrix microarrays with QPCR validation. Transient transfection assays examined the effect of Klf5 on selected target gene promoter activities. Whole-mount corneal immunofluorescent staining examined neovascularization and CD45+ macrophage influx. Results: Expression of 714 and 753 genes was increased, and 299 and 210 genes decreased in PN11 and PN56 Klf5CN corneas, respectively, with 366 concordant increases, 72 concordant decreases and 3 discordant changes. Canonical pathway analysis identified 35 and 34 significantly (p<0.001) enriched pathways at PN11 and PN56, respectively, with 24 common pathways. PN56 Klf5CN corneas shared 327 increases and 91 decreases with the previously described Klf4CN corneas (Swamynathan et al., 2008. IOVS 49:3360-70). Angiogenesis and immune response-related genes were affected consistent with lymphangiogenesis and macrophage influx in Klf5CN corneas, respectively. Expression of 1574 genes was increased and 1915 decreased, in the WT PN56 compared with PN11 corneas. Expression of many collagens, matrix metalloproteinases and other extracellular matrix associated genes decreased in WT corneas between PN11 and PN56, while that of solute carrier family members increased. Conclusions: Differences in PN11 and PN56 corneal Klf5-target genes reveal dynamic changes in Klf5 functions during corneal maturation. Klf4- and Klf5-target genes do not overlap, consistent with their non-redundant roles in the mouse cornea.
2012-12-25 | GSE36229 | GEO
Project description:The objective of this study was to analyze gene expression associated to the process of cell and tissue differentiation of bioengineered human anterior lamelar corneas We used microarrays to detail the global programme of gene expression associated to bioengineered corneas differentiation
2016-09-09 | GSE86584 | GEO
Project description:Comparative transcriptome between Keratoconus and control corneas
2011-08-17 | E-MEXP-2777 | biostudies-arrayexpress
Project description:P. aeruginosa PAO1 WT and PA2663 biofilm cells
| PRJNA100723 | ENA
Project description:SbrI and SbrR are an extracytoplasmic function sigma factor and its cognate anti-sigma factor, respectively. To identify the SbrIR regulon, we measured gene expression in wild type PAO1 , PAO1 âsbrR, and PAO1 âsbrIR mutants using microarrays. WT PAO1 pPSV38 (empty vector), PAO1 âsbrR pPSV38, PAO1 âsbrR pSbrR, and PAO1 âsbrIR pPSV38 were grown to mid-log. RNA was extracted and reverse transcribed into cDNA. The cDNA was biotinylated and hybridized to Pseudomonas aeruginosa Affymetrix microarrays.
2015-12-23 | E-GEOD-74917 | biostudies-arrayexpress