Project description:Background: Inflammatory bowel diseases are classic polygenic disorders, with genetic loads that reflect immunopathological processes in response to intestinal microbiota. To assess gut bacterial community, microRNA (miRNA), and short chain fatty acid (SCFA) signatures associated with the activity of Crohn’s disease (CD). Methods: DNA, miRNA, and metabolites were extracted from stool samples of 15 CD patients, eight with active disease and seven in remission, and nine healthy individuals. Microbial, miRNA and SCFA profiles were assessed using datasets from 16s rRNA sequencing, Nanostring miRNA and GC-MS targeted analysis, respectively. Results: Pairwise comparisons showed that 11 and 27 taxa differed between controls and CD patients with active and inactive disease, respectively. Seven taxa were common to both comparisons, whereas eight taxa differed in CD patients. α-Diversity was lower in both CD groups than in controls. The levels of 13 miRNAs differed (p-value <0.05; FC >1.5) in CD patients and controls. Comparisons of controls with CD patients having active and inactive disease identified 12 and seven significantly different miRNAs, respectively. Of six SCFAs, the levels of two differed significantly (p-value <0.05, FC >1.5) in CD patients and controls, and the levels of four differed in patients with active and inactive CD. PLS-DA revealed models with high discriminatory powers (AUC >0.9) for bacteria and miRNA. The levels of 14 miRNAs and 39 bacterial taxa correlated with the level of SCFAs. Conclusion: CD-related gut dysbiosis correlates significantly with miRNA and SCFA profiling, indicating complex relationships among all these factors in response to intestinal inflammation.
Project description:Crohn’s disease (CD) is a subtype of inflammatory bowel disease (IBD) characterized by transmural disease. The concept of transmural healing (TH) has been proposed as an indicator of deep clinical remission of CD and as a predictor of favorable treatment endpoints. Understanding the pathophysiology involved in transmural disease is critical to achieving these endpoints. How-ever, most studies have focused on the colon intestinal mucosa, overlooking the contribution of the colon intestinal wall in Crohn’s disease. Multi-omics approaches have provided new avenues for exploring the pathogenesis of Crohn’s disease and identifying potential biomarkers. Therefore, we analyzed and compared the gene and protein expression and dysregulated biological functions in the distinct tissue compartments of mucosa and submucosa/wall of colon resections from CD patients. We aimed to use transcriptomic and proteomic technologies to compare immune and mesenchymal cell profiles and pathways in the mucosal and submucosa/wall compartments to better understand refractory disease elements to achieve transmural healing. We employed a comprehensive multi-omics approach to investi-gate the molecular profiles of the colon mucosa and submucosa/wall compartments in patients with chronic Crohn’s disease. The results revealed similarities and differences in gene and protein ex-pression profiles, metabolic mechanisms, and immune and non-immune pathways between these two compartments. Additionally, the identification of protein isoforms highlights the complex molecular mechanisms underlying this disease. These findings have the potential to inform the development of novel therapeutic strategies to achieve TH.
Project description:Crohn’s disease (CD) is a subtype of inflammatory bowel disease (IBD) characterized by transmural disease. The concept of transmural healing (TH) has been proposed as an indicator of deep clinical remission of CD and as a predictor of favorable treatment endpoints. Understanding the pathophysiology involved in transmural disease is critical to achieving these endpoints. However, most studies have focused on the intestinal mucosa, overlooking the contribution of the intestinal wall in Crohn’s disease. Multi-omics approaches have provided new avenues for exploring the pathogenesis of Crohn’s disease and identifying potential biomarkers. . We aimed to use transcriptomic and proteomic technologies to compare immune and mesenchymal cell profiles and pathways in the mucosal and submucosa/wall compartments to better understand chronic refractory disease elements to achieve transmural healing. The results revealed similarities and differences in gene and protein expression profiles, metabolic mechanisms, and immune and non-immune pathways between these two compartments. Additionally, the identification of protein isoforms highlights the complex molecular mechanisms underlying this disease, such as decreased RTN4 isoforms (RTN4B2 and RTN4C) in the submucosa/wall which may be related to the dysregulation of enteric neural processes. These findings have the potential to inform the development of novel therapeutic strategies to achieve TH
Project description:Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. These emerging multi-omics techniques help the investigation of cell-type resolved gene regulatory mechanisms. Here, we developed in situ SHERRY after ATAC-seq (ISSAAC-seq), a highly sensitive and flexible single cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single cell. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from thousands of nuclei from the mouse cerebral cortex, we uncovered major and rare cell types together with their cell-type specific regulatory elements and expression profiles. Finally, we revealed distinct dynamics and relationships of transcription and chromatin accessibility during an oligodendrocyte maturation trajectory.
Project description:Multi-omics molecular profiling was performed on post-radical prostatectomy material from a cohort of 132 patients with localized prostate adenocarcinoma. Unsupervised classification techniques were used to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression.
Project description:Multi-omics molecular profiling was performed on post-radical prostatectomy material from a cohort of 132 patients with localized prostate adenocarcinoma. Unsupervised classification techniques were used to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression.
Project description:Multi-omics molecular profiling was performed on post-radical prostatectomy material from a cohort of 132 patients with localized prostate adenocarcinoma. Unsupervised classification techniques were used to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression.