Promoter Genotyping and mRNA Expression-Based Analysis of the PTGDR Gene in Allergy
JOURNAL OF INVESTIGATIONAL ALLERGOLOGY AND CLINICAL IMMUNOLOGY
Authors: San Segundo-Val, I; Garcia-Sanchez, A.; Sanz, C.; Cornejo-Garcia, J. A.; Isidoro-Garcia, M.; Davila, I
Abstract
Background: Prostaglandin D2 receptors are acquiring a relevant role as potential therapeutic targets in allergy. PTGDR has been described as a candidate gene in allergic disease, although functional studies on this gene are lacking. Objective: The objective of this case-control study was to investigate the potential role of PTGDR in allergy. Methods: The study population comprised 195 allergic patients and 112 healthy controls. The PTGDR promoter polymorphisms -1289G>A, -1122T>C, -881C>T, -834C>T, -613C>T, -549T>C, -441C>T, -197T>C, and -95G>T were amplified by polymerase chain reaction (PCR) and sequenced. PTGDR expression levels were analyzed using quantitative PCR and normalized to GAPDH and TBP mRNA levels. All procedures were performed following the Minimum Information for Publication of Quantitative Real-Time PCR Experiment guidelines. Results: PTGDR expression levels were significantly higher in allergic patients than in controls (P<.001). Receiver operating characteristic analysis for expression of PTGDR showed a sensitivity of 81.4% compared with 67% for IgE levels. In addition, differences in the genotypic distribution of the polymorphisms -1289G>A and -1122T>C were found in allergic patients (P=.009). Conclusions: The results indicate that PTGDR overexpression is associated with allergy. The polymorphisms -1289G>A and -1122T>C partly explain the variation in expression we observed. PTGDR expression could have a potential role as a biomarker and pharmacogenetic factor in allergy.
Aberrantly Expressed Genes and miRNAs in Slow Transit Constipation Based on RNA-Seq Analysis
BIOMED RESEARCH INTERNATIONAL
Authors: Zhao, Shipeng; Chen, Qiang; Kang, Xianwu; Kong, Bin; Wang, Zhuo
Abstract
Background. This study aims to identify the key genes and miRNAs in slow transit constipation (STC). Methods. M RNA and miRNA expression profiling were obtained. Differentially expressed genes (DEGs) and miRNAs were identified followed by the regulatory network construction. Functional annotation analysis and protein-protein interaction (PPI) network were conducted. The electronic validation was performed. Results. Hsa-miR-2116-3p, hsa-miR-3622a-5p, hsa-miR-424-5p, and hsa-miR-1273-3p covered most DEGs. HLA-DRB1, HLA-DRB5, C3, and ICAM were significantly involved in staphylococcus aureus infection. The PPI network generated several hub proteins including ZBTB16, FBN1, CCNF, and CDK1. Electronic validation of HLA-DRB1, PTGDR, MKI67, BIRC5, CCNF, and CDK1 was consistent with the RNA-sequencing analysis. Conclusion. Our study might be helpful in understanding the pathology of STC at the molecular level.