Expression data from primary tissue, human oral mucosa (mRNA data)
Ontology highlight
ABSTRACT: The experiment aims to identify regulatory miRNA networks influencing mRNA profiles in oral lichen planus (OLP). RNA and miRNA were extracted simultaniously using miRVana (Ambion, Life Technologies). Sample and array processing was carried out according to the manufacturer's guidelines. Affymetrix raw data was processed using AGCC Expression Console 1.1 (Affymetrix), employing RMA normalization. Linking miRNA and mRNA was performed with a correlation analysis, while a false discovery rate was used to exclude false-positive correlations between miRNAs and their predicted targets.
Project description:The experiment aims to identify regulatory miRNA networks influencing mRNA profiles in oral lichen planus (OLP). RNA and miRNA were extracted simultaniously using miRVana (Ambion, Life Technologies). Sample and array processing was carried out according to the manufacturer's guidelines. Affymetrix raw data was processed using AGCC Expression Console 1.1 (Affymetrix), employing RMA normalization. Linking miRNA and mRNA was performed with a correlation analysis, while a false discovery rate was used to exclude false-positive correlations between miRNAs and their predicted targets.
Project description:The experiment aims to identify regulatory miRNA networks influencing mRNA profiles in oral lichen planus (OLP). RNA and miRNA were extracted simultaniously using miRVana (Ambion, Life Technologies). Sample and array processing was carried out according to the manufacturer's guidelines. Affymetrix raw data was processed using AGCC Expression Console 1.1 (Affymetrix), employing RMA normalization. Linking miRNA and mRNA was performed with a correlation analysis, while a false discovery rate was used to exclude false-positive correlations between miRNAs and their predicted targets. 7 cases (OLP) and 7 controls (healthy individuals). Genome wide mRNA and miRNA screening, linking both datasets (see summary).
Project description:The experiment aims to identify regulatory miRNA networks influencing mRNA profiles in oral lichen planus (OLP). RNA and miRNA were extracted simultaneously using miRVana (Ambion, Life Technologies). Sample and array processing was carried out according to the manufacturer's guidelines. Affymetrix raw data was processed using AGCC Expression Console 1.1 (Affymetrix), employing RMA normalization. Linking miRNA and mRNA was performed with a correlation analysis, while a false discovery rate was used to exclude false-positive correlations between miRNAs and their predicted targets. 7 cases (OLP) and 7 controls (healthy individuals). Genome wide mRNA and miRNA screening, linking both datasets (see summary).
Project description:Oral lichen planus (OLP) is a poorly understood chronic inflammatory mucocutaneous disease and is associated with many systemic diseases, which may lead to the erosion of oral mucosa and bring physical and psychological disorders to patients. However, the pathogenesis and immune microenvironment of OLP with different clinical subtypes are unclear. therefore, this study established a clinical cohort of OLP with 1-year follow-up and obtained the clinical information and bulk RNA-seq files to explore the immune microenvironment and molecular mechanism of oral lichen planus with different clinical subtypes. Based on the erosion of oral mucosa in the biopsy, the participants of OLP were divided into two groups, non-erosive OLP (NEOLP) and erosive OLP (EOLP). According to whether erosion occurred in oral mucosa more than three times and a remission period of less than 3 months within a one-year follow-up, OLP was divided into two groups, recalcitrant erosive OLP (REOLP) and stable OLP (SOLP).
Project description:Oral lichen planus (OLP) is a poorly understood chronic inflammatory mucocutaneous disease and is associated with many systemic diseases, which may lead to the erosion of oral mucosa and bring physical and psychological disorders to patients. However, the pathogenesis and immune microenvironment of OLP with different clinical subtypes are unclear. therefore, this study utilized single cell RNA-sequencing and spatial transcriptomics to explore the immune microenvironment and molecular mechanism of oral lichen planus with different clinical subtypes. Moreover, this study established a clinical cohort of OLP with 1-year follow-up and obtained the clinical information and bulk RNA-seq files to further confirm the above results.
Project description:Oral lichen planus (OLP) is a chronic inflammatory disease with various clinical subtypes. Recurrent erosion of OLP brings great physical and mental pain to patients without clear pathogenesis. Herein, this study is the first to utilize single-cell RNA sequencing combined with spatial transcriptome and bulk RNA-seq to explore the tissual microenvironments of patients within normal oral mucosa, non-erosive OLP (ENOLP) and erosive OLP (EOLP).
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
Project description:Oral lichen planus (OLP) is a common oral mucosal disease, of which the etiology and pathogenesis are still unclear. Microorganisms may play an essential role in the pathogenesis of OLP. Previous studies of our group found that the composition ratio of Prevotella melaninogenica (Pm) on the buccal mucosa surface of OLP patients increased significantly. In addition, Pm could invade the epithelium of OLP. As the first physical defense of the oral mucosa, oral keratinocytes may interact directly with Pm in OLP. Therefore, this study aimed to explore the impact of Pm on primary human oral keratinocytes' transcriptome.
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.