Project description:Interactions between stromal cell-derived factor-1α (SDF-1α) and its cognate receptor CXCR4 are crucial for the recruitment of mesenchymal stem cells (MSCs) from bone marrow (BM) reservoirs to damaged tissues for repair during alarm situations. MicroRNAs are differentially expressed in stem cell niches, suggesting a specialized role in stem cell regulation. Here, we gain insight into the molecular mechanisms involved in regulating SDF-1α. Individualized outcome prediction classifiers were successfully constructed through expression profiling of microRNAs (in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk))in one burned murine skin tissue compared to normal skin tissue,which had 57 upregulated microRNAs and 28 down-regulated microRNAs
Project description:Interactions between stromal cell-derived factor-1α (SDF-1α) and its cognate receptor CXCR4 are crucial for the recruitment of mesenchymal stem cells (MSCs) from bone marrow (BM) reservoirs to damaged tissues for repair during alarm situations. MicroRNAs are differentially expressed in stem cell niches, suggesting a specialized role in stem cell regulation. Here, we gain insight into the molecular mechanisms involved in regulating SDF-1α. Individualized outcome prediction classifiers were successfully constructed through expression profiling of microRNAs (in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk))in one burned murine skin tissue compared to normal skin tissue,which had 57 upregulated microRNAs and 28 down-regulated microRNAs.
Project description:Interactions between stromal cell-derived factor-1M-NM-1 (SDF-1M-NM-1) and its cognate receptor CXCR4 are crucial for the recruitment of mesenchymal stem cells (MSCs) from bone marrow (BM) reservoirs to damaged tissues for repair during alarm situations. MicroRNAs are differentially expressed in stem cell niches, suggesting a specialized role in stem cell regulation. Here, we gain insight into the molecular mechanisms involved in regulating SDF-1M-NM-1. Individualized outcome prediction classifiers were successfully constructed through expression profiling of microRNAs (in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk))in one burned murine skin tissue compared to normal skin tissue,which had 57 upregulated microRNAs and 28 down-regulated microRNAs In the study presented here, a consecutively operated, well-defined cohort of 2 cases, was used to acquire expression profiles of microRNAs(in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk)), leading to the successful construction of supervised .
Project description:Interactions between stromal cell-derived factor-1M-NM-1 (SDF-1M-NM-1) and its cognate receptor CXCR4 are crucial for the recruitment of mesenchymal stem cells (MSCs) from bone marrow (BM) reservoirs to damaged tissues for repair during alarm situations. MicroRNAs are differentially expressed in stem cell niches, suggesting a specialized role in stem cell regulation. Here, we gain insight into the molecular mechanisms involved in regulating SDF-1M-NM-1. Individualized outcome prediction classifiers were successfully constructed through expression profiling of microRNAs (in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk))in one burned murine skin tissue compared to normal skin tissue,which had 57 upregulated microRNAs and 28 down-regulated microRNAs. In the study presented here, a consecutively operated, well-defined cohort of 2 cases, was used to acquire expression profiles of microRNAs (in all organisms as annotated in Sanger miRBase Release 11.0 (http://microrna.sanger.ac.uk)), leading to the successful construction of supervised. The most recent version of the array (v.11.0 - hsa, mmu & rno array) contains more than 1700 capture probes, covering all microRNAs annotated in miRBase 11.0, as well as all viral microRNAs, related to these species.
Project description:Purpose: To identify the differentially expressed miRNA in lesional skin of psoriasis patients compared to adjacent normal tissue by Next Generation Sequencing. Methods: Small RNA isolated from 24 paired lesional and adjacent normal tissue sample and Next Generation Sequencing was performed. The sequences reads were trimmed of adapter sequences and quality trimmed using CutAdapt, followed by alignment to the human genome via 'Novoalign'. The aligned files were sorted based on chromosomal location and HTSeq-count was used to obtain the raw read counts for all known miRNAs. Differnetial expression analysis was performed with the raw reads using R-package 'edgeR'. MiRNA expression was quantified in tissue and serum by qRT-PCR method using SYBR-Green assay. Correlation analysis was done between miRNA expression in individual samples with their respective PASI scores to identify the miRNA associated with disease severity. Results: We identified 75 differentially expressed miRNA with at least 2-fold deregulation that were statistically significant. qRT-PCR validation showed approx 90% concordance with NGS data. Fold change of 4 miRNAs - miR-30b-5p, miR-7-1-3p, miR-33a-3p and miR-4742-3p were found to be asssociated with disease severity in psoriasis skin. Another miRNA let-7d-5p expression was found to be associated with disease severity in serum of HLA-Cw6 positive patients. Conclusions: Our study identified several unqiue deregulated miRNAs in psoriatric skin, which had not been previously reported. We also identified miRNA whose deregulated expression in psoriasis is associated with disease severity and the biological pathways through which they regulate disease pathogenesis.
Project description:Purpose: to explore the function and mechanism of skin damage induced by ultraviolet irradiation. The mouse model of UVB irradiation was established. Using miRNA Sequence analysis, the miRNA expression profile of the mouse skin model exposed to UVB radiation and the normal skin mice. GO and Pathway analysis were employed for the prediction of miRNA targets. Results:Compared with normal skin, a total of 23 miRNAs were screened for significantly different expressions. Among them, 7 miRNAs were up-regulated and 16 were down-regulated in the skin wound tissue of mice exposed to UVB irradiation. The differential expression of miRNA is related to a variety of signal transduction pathways, among which mmu-miR-195a-5p and mitogen-activated protein kinase (MAPK) signal pathway is worthy of attention. Conclusion: There was significant difference expression of miRNA in the skin tissue of normal mice and the skin injury induced by UVB irradiation. Differential expression of miRNA can be used in the diagnosis and treatment of UVB-induced acute skin injury.