Project description:Serum was collected from 63 patients of Group A with a normal cervix, cervical intraepithelial neoplasia (CIN), squamous cell carcinoma (SCC), or adenocarcinoma (AD) and 33 patients of Group B with a normal cervix or SCC. Three miRNAs (miR-16-5p, -223-3p and -451a) were commonly down-regulated in the Group A and the Group B.
Project description:MicroRNAs (miRNAs) are small noncoding RNAs that critically regulate gene expression. Their abundance and function have been linked to processes such as senescence and aging. In aged monkey muscle, miR-451a and miR-144-3p were highly upregulated compared to young animals. This led us to hypothesize that the miRNAs 451a/144-3p may be involved in muscle differentiation. We found that these miRNAs are downregulated during the differentiation of C2C12 myoblasts. Overexpression of miR-451a, but not miR-144-3p, robustly impeded the differentiation, suggesting an inhibitory role for miR-451a. We further investigated the potential regulatory targets of miR-451a and identified Sparc mRNA, encoding a secreted protein acidic and rich in cysteine (SPARC), which is involved in wound healing and cellular differentiation. Interestingly, we found that miR-451a suppresses Sparc mRNA translation according to the analysis of polysome profile. Our findings show that miR-451a is downregulated in differentiated myoblasts and decreases C2C12 differentiation at least in part by the suppression of SPARC biosynthesis.
Project description:We have recently confirmed miR-27a-3p as a crucial regulator of human adipogenesis (Wu H, Pula T, Tews D, Amri E-Z, Debatin K-M, Wabitsch M, Fischer-Posovszky P, Roos J. microRNA-27a-3p but Not -5p Is a Crucial Mediator of Human Adipogenesis. Cells. 2021; 10(11):3205. https://doi.org/10.3390/cells10113205 ). MiR-27a-5p did not impair human adipogenesis. However, since several publications state that miR-27a ist also a crucial regulator of UCP1, we were interested if miR-27a-3p or miR-27a-5p regulatas UCP1 and other thermogenesis related genes. We found a strong regulation of UCP1 with functional relevance for the cellular metabolism by miR-27a-5p.To asesse the mRNA gene expression pattern, mRNA sequencing was performed.
Project description:To analyze the effect of miR-223-3p expression on the mRNA level we employed whole genome microarray expression profiling to identify genes with a potential seed region targeted by miR-223-3p. A549 cells were transfected for 48h with either a mirVana miRNA mimic Control or miR-223-3p.
Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
Project description:Non-thermal plasma, a partially ionized gas, holds significant potential for clinical applications, including wound healing support, oral therapies, and anti-tumour treatments. While its applications shown promising outcomes, the underlying molecular mechanisms remain incompletely understood. We thus applied non-thermal plasma to mouse auricular skin and conducted non-coding RNA sequencing, as well as single-cell blood sequencing. In a time-series analysis (5 time points spanning 2 hours), we compared the expression of microRNAs in the plasma-treated left ears to the unexposed right ears of the same mice as well as to the ears of unexposed control mice. Our findings indicate specific effects in the treated ears for a set of five miRNAs: mmu-miR-144-5p, mmu-miR-144-3p, mmu-miR-142a-5p, mmu-miR-223-3p, and mmu-miR-451a. Interestingly, miR-223-3p also exhibited an increase over time in the right non-treated ear of the exposed mice, suggesting systemic effects. Notably, this miRNA, along with mmu-miR-142a-5p and mmu-miR-144-3p, regulates genes and pathways associated with wound healing and tissue regeneration (namely ErbB, FoxO, Hippo, and PI3K-Akt signalling). This co-regulation is particularly remarkable considering the significant seed dissimilarities among the miRNAs. Finally, single blood cell sequencing revealed the downregulation of 12 from 15 target genes in B-cells, Cd4+ and Cd8+ T-cells. Collectively, our data provide evidence for a systemic effect of non-thermal plasma.
Project description:Non-thermal plasma, a partially ionized gas, holds significant potential for clinical applications, including wound healing support, oral therapies, and anti-tumour treatments. While its applications shown promising outcomes, the underlying molecular mechanisms remain incompletely understood. We thus applied non-thermal plasma to mouse auricular skin and conducted non-coding RNA sequencing, as well as single-cell blood sequencing. In a time-series analysis (5 time points spanning 2 hours), we compared the expression of microRNAs in the plasma-treated left ears to the unexposed right ears of the same mice as well as to the ears of unexposed control mice. Our findings indicate specific effects in the treated ears for a set of five miRNAs: mmu-miR-144-5p, mmu-miR-144-3p, mmu-miR-142a-5p, mmu-miR-223-3p, and mmu-miR-451a. Interestingly, miR-223-3p also exhibited an increase over time in the right non-treated ear of the exposed mice, suggesting systemic effects. Notably, this miRNA, along with mmu-miR-142a-5p and mmu-miR-144-3p, regulates genes and pathways associated with wound healing and tissue regeneration (namely ErbB, FoxO, Hippo, and PI3K-Akt signalling). This co-regulation is particularly remarkable considering the significant seed dissimilarities among the miRNAs. Finally, single blood cell sequencing revealed the downregulation of 12 from 15 target genes in B-cells, Cd4+ and Cd8+ T-cells. Collectively, our data provide evidence for a systemic effect of non-thermal plasma.
Project description:Introduction: Systems vaccinology is a novel approach to predict immune response in vaccines. We have used a systems biology approach to identify early gene ‘signatures’ that predicted viral load control after analytical therapy interruption (ATI) in HIV-1 infected patients vaccinated with a dendritic cell-based (DC) HIV-1 vaccine. Methods: Frozen post-vaccination PBMC samples from participants of a previously published DC vaccine (DCV2) clinical trial were used for the study. mRNA and miRNA were extracted and gene expression was determined by microarray method. Differential gene expression analysis was performed on both mRNA and miRNA between responders (> 1 log10 copies/mL drop of VL after 12 weeks of ATI) and non-responders (<= 1 log10 copies/mL drop in VL at week 12 of ATI). Gene set enrichment analysis (GSEA) was carried out with the hallmark gene sets of the Broad Institute on the mRNA data. After the stand-alone analyses of mRNA and miRNA we performed an additional GSEA with gene sets defined by the genes regulated by significantly differentially expressed miRNAs. Statistical analysis was done using R and the GSEA software of the Broad Institute. Results: There were 15 responders and 20 non-responders. No differentially expressed mRNAs were observed between responders and non-responders. As compared with non-responders, responders showed an up-regulation of gene sets corresponding to TNF- alpha signaling via the NFkB pathway, inflammatory response, coagulation, the complement system, Il6 and Il2 JAK-STAT signaling, or reactive oxygen-species pathways were up-regulated, and a down-regulation of gene sets corresponding to E2F targets, oxidative phosphorylation, or interferon alpha response. We found 9 differentially expressed miRNAs between responders and non-responders: miR-32-3p, miR-185-3p, miR-223-3p, miR-500b-3p, miR-550a-3p, miR-1183, miR-1184, miR-4455, and miR-8063. Twelve Broad hallmark gene sets that were significantly deregulated in the GSEA showed significant overlap with genes regulated by one or more of these miRNAs, 10 of them with genes regulated by miR-223-3p. We also observed that the expression of genes regulated by miR-223-3p, miR-1183 and miR-8063 was significantly down-regulated in responders as compared with non-responders. Conclusions: Deregulation of certain gene sets related to inflammatory processes seems fundamental in viral control during ATI. miR-223-3p may be one of the miRNAs that fine tune part of these processes.
Project description:Introduction: Systems vaccinology is a novel approach to predict immune response in vaccines. We have used a systems biology approach to identify early gene ‘signatures’ that predicted viral load control after analytical therapy interruption (ATI) in HIV-1 infected patients vaccinated with a dendritic cell-based (DC) HIV-1 vaccine. Methods: Frozen post-vaccination PBMC samples from participants of a previously published DC vaccine (DCV2) clinical trial were used for the study. mRNA and miRNA were extracted and gene expression was determined by microarray method. Differential gene expression analysis was performed on both mRNA and miRNA between responders (> 1 log10 copies/mL drop of VL after 12 weeks of ATI) and non-responders (<= 1 log10 copies/mL drop in VL at week 12 of ATI). Gene set enrichment analysis (GSEA) was carried out with the hallmark gene sets of the Broad Institute on the mRNA data. After the stand-alone analyses of mRNA and miRNA we performed an additional GSEA with gene sets defined by the genes regulated by significantly differentially expressed miRNAs. Statistical analysis was done using R and the GSEA software of the Broad Institute. Results: There were 15 responders and 20 non-responders. No differentially expressed mRNAs were observed between responders and non-responders. As compared with non-responders, responders showed an up-regulation of gene sets corresponding to TNF- alpha signaling via the NFkB pathway, inflammatory response, coagulation, the complement system, Il6 and Il2 JAK-STAT signaling, or reactive oxygen-species pathways were up-regulated, and a down-regulation of gene sets corresponding to E2F targets, oxidative phosphorylation, or interferon alpha response. We found 9 differentially expressed miRNAs between responders and non-responders: miR-32-3p, miR-185-3p, miR-223-3p, miR-500b-3p, miR-550a-3p, miR-1183, miR-1184, miR-4455, and miR-8063. Twelve Broad hallmark gene sets that were significantly deregulated in the GSEA showed significant overlap with genes regulated by one or more of these miRNAs, 10 of them with genes regulated by miR-223-3p. We also observed that the expression of genes regulated by miR-223-3p, miR-1183 and miR-8063 was significantly down-regulated in responders as compared with non-responders. Conclusions: Deregulation of certain gene sets related to inflammatory processes seems fundamental in viral control during ATI. miR-223-3p may be one of the miRNAs that fine tune part of these processes.
Project description:Objective: Adipose tissue plays a key role in obesity related metabolic dysfunction. MicroRNA (miRNA) are gene regulatory molecules involved in inter-cellular and inter-organ communication. We hypothesised that miRNA levels in adipose tissue would change after gastric bypass surgery and that this would provide insights into their role in obesity-induced metabolic dysregulation. Methods: miRNA-profiling (Affymetrix_Gene-Chip_miRNA2.0_Arrays) of omental and subcutaneous adipose (n=15 females) before, and after, gastric bypass surgery. Results: One omental, and thirteen subcutaneous adipose miRNAs were significantly, differentially expressed after gastric bypass, including down-regulation of miR-223-3p and its antisense relative, miR-223-5p, in both adipose tissues. mRNA levels of miR-223-3p targets NLRP3 and GLUT4 were increased and decreased respectively following gastric bypass in both adipose tissues. Significantly more NLRP3 protein was observed in omental adipose after gastric bypass (P=0.02). Significant hypomethlyation of NLRP3 and hypermethylation of miR-223 was observed in both adipose tissues after gastric bypass. In subcutaneous adipose significant correlations were observed between both miR-223-3p and miR-223-5p and glucose, and between NLRP3 mRNA and protein levels and blood lipids. Conclusions: This is the first report detailing genome-wide miRNA-profiling of omental adipose before and after gastric bypass, and further highlights a link between miR-223-3p and the NLRP3 inflammasome in obesity.