Project description:Comparing gene expression in Oral and genital lichen planus with normal oral and genital epithelium trying to idenitfy differently expressed genes in lichen planus compared to normal epithelium Total RNA obtained from oral and genital lichen planus epithelium compared with normal oral and genital epithelium
Project description:Comparing gene expression in Oral and genital lichen planus with normal oral and genital epithelium trying to idenitfy differently expressed genes in lichen planus compared to normal epithelium
Project description:Genome wide DNA methylation profiling of OSCC tissue samples, oral lichen planus tissue samples and normal controls. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Samples included 15 OSCC, 8 lichen planus and 18 control samples.
Project description:We compared the transcriptomes of tissues from Oral lichen planus patients with immunosuppressive therapy to reveal the biological mechanism of oral lichen planus treatment.
Project description:In this study, we compared microRNA (miRNA) profiles of salivary exosomes of patients with oral lichen planus with those of healthy controls. Saliva samples from 16 patients with oral lichen planus and 8 healthy controls were divided into 2 sets and were examined by performing miRNA microarray analysis. Examination of 8 oral lichen planus patients and 4 healthy controls. Each patient and control represent pooled RNAs from salivary exosomes of 8 patients and 4 healthy controls, respectively. Please note that each set (i.e. set1 and set2) was analysed independently.
Project description:In this study, we compared microRNA (miRNA) profiles of salivary exosomes of patients with oral lichen planus with those of healthy controls. Saliva samples from 16 patients with oral lichen planus and 8 healthy controls were divided into 2 sets and were examined by performing miRNA microarray analysis. Examination of 8 oral lichen planus patients and 4 healthy controls. Each patient and control represent pooled RNAs from salivary exosomes of 8 patients and 4 healthy controls, respectively. Please note that each set (i.e. set1 and set2) was analysed independently.
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
Project description:In this study, we compared microRNA (miRNA) profiles of salivary exosomes of patients with oral lichen planus with those of healthy controls. Saliva samples from 16 patients with oral lichen planus and 8 healthy controls were divided into 2 sets and were examined by performing miRNA microarray analysis.
Project description:In this study, we compared microRNA (miRNA) profiles of salivary exosomes of patients with oral lichen planus with those of healthy controls. Saliva samples from 16 patients with oral lichen planus and 8 healthy controls were divided into 2 sets and were examined by performing miRNA microarray analysis.
Project description:Six oral mucous biopsies from untreated patients with oral lichen planus (OLP) and six normal oral mucous tissues from healthy patients were used for circRNA sequencing. 135 circRNAs with 2-fold differential expression were identified in OLP compared with normal control, including 83 upregulated circRNAs and 52 downregulated circRNAs. Ten selected circRNAs were validated by real-time qPCR
