Project description:NanoString duplicate runs were created for CF- and HF-resistant cells, and for matched parental duplicate samples corresponding to each radioresistant cell type. Prostate cancer is the second most common cause of cancer death in men, and radiotherapy is a standard curative therapy for localized disease. Unfortunately, aggressive radioresistant relapses can arise, and the molecular underpinnings of radioresistance are unknown. Modern clinical radiotherapy is evolving to deliver higher doses of radiation in fewer fractions (hypofractionation). We therefore analyzed genomic, transcriptomic and proteomic data to characterize the determinants of prostate cancer radioresistance in cells treated with both conventionally fractionated and hypofractionated radiotherapy. Independent of fractionation schedule, resistance to radiotherapy involved massive genomic instability and abrogation of DNA mismatch repair. Specific prostate cancer driver genes were modulated at the RNA and protein levels, with distinct protein subcellular responses to radiotherapy. Conventional fractionation led to a far more aggressive biomolecular response than hypofractionation. Testing pre-clinical candidates identified in cell lines, we revealed POLQ as a radiosensitizer. POLQ-modulated radioresistance in model systems and was predictive of it in large patient cohorts. Pharmacologic and genetic inhibition of POLQ re-sensitized radioresistant cells, creating signatures seen in primary patient cohorts. The molecular response to radiation is highly multi-modal, and sheds light on prostate cancer lethality.
Project description:Cystic fibrosis (CF), a genetic disorder, is characterized by chronic lung disease. Small non-coding RNAs are key regulators of gene expression and participate in various processes, which are dysregulated in CF; however, they remain poorly studied. Here, we determined the complete microRNAs (miRNAs) expression pattern in three CF ex-vivo models. The miRNA profiles of air-liquid interface cultures of airway epithelia (bronchi, nasal cells, and nasal polyps) samples from patients with CF and non-CF controls were obtained by deep sequencing. Compared with non-CF controls, several miRNAs were deregulated in CF samples, for instance miR-181a-5p and the miR-449 family were upregulated. Moreover, mature miRNAs often showed variations (i.e., isomiRs) relative to their reference sequence, such as miR-101, suggesting that miRNAs consist of heterogeneous repertoires of multiple isoforms with different effects on gene expression. Analysis of miR-181a-5p and miR-101-3p roles indicated that they regulate the expression of WISP1, a key component of cell proliferation/migration programs. We showed that miR-101 and miR-181a-5p participated in aberrant recapitulation of wound healing programs by controlling WISP1 mRNA and protein level. Our miRNA expression data bring new insights into CF physiopathology and define new potential therapeutic targets in CF
Project description:Background: Cardiac fibrosis (CF) and heart failure (HF) are familiar heart diseases that are harmful to health, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. Methods: Firstly, RNA library construction and high-throughput sequencing were performed. In addition, the DESeq2 package in R was used to screen genes with differentially expressed between different samples. Then, take the intersection of the differential mRNA, miRNA and lncRNA obtained for the two diseases. Thirdly, the ConsensusPathDB (CPDB) was used to perform biological functions enrichment for intersection differentially expressed mRNAs (DEmRNAs). Fourthly, construct gene interaction network and screen out key genes. Fifthly, RT-PCR verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized to validate the expression and diagnostic analysis. Results: There are 1477 DEmRNAs, 502 differentially expressed lncRNA (DElncRNAs) and 36 differentially expressed miRNA (DEmiRNAs) between CF and healthy control group. There are 607 DEmRNAs, 379 DElncRNAs and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284 and AC239798.2 were keys genes in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in CF and HF.
Project description:Background: Atrial fibrillation (AF), a critical health and economic issue is common in patients with heart failure (HF). Meanwhile, HF is a leading complication of nonvalvular atrial fibrillation (NVAF), and the presence of both conditions is associated with worsen outcomes. Accumulating evidence has indicated that messenger RNA (mRNA), microRNA (miRNA) and circular RNA (circRNA) play vital roles in the occurrence and progression of HF and AF. However, the underlying molecular mechanism of HF with AF remains elusive. We aimed to investigate the role of circRNA/miRNA/mRNA regulatory network in HF with AF through High-throughput sequencing and bioinformatics analysis. Methods: Peripheral blood mononuclear cells (PBMCs) were obtained from 4 patients who had heart failure with atrial fibrillation (HF /AF group) and 4 matched healthy subjects. RNA sequencing was performed to get circRNAs and mRNAs. miRNAs were obtained through miRanda and HMDD databases. qRT-PCR was used to verify our data. R software was employed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The PPI network was completed using STRING. Immune infiltration analysis was performed using cibersort method. The ceRNA network of circRNA/miRNA/mRNA was constructed by Cytoscape. Results: Differential expression analysis showed that circRNAs (137 upregulated and 31 downregulated) and mRNAs (534 upregulated and 255 downregulated) were considered as significantly different between HF with AF group and control group. Immune infiltration analysis demonstrated that macrophages were obviously upregulated and mast cells were significantly downregulated in PBMCs of the HF/AF group. GO and KEGG analyses showed that HF with AF-related mRNAs were abundant in the pathway of programmed cell death (PCD) and myocardial remodeling. So we confirm that hsa_circ_0047870/hsa-miR-34a-5p/SMPD1, hsa_circ_0127340/hsa-miR-192-3p/FBXW5, hsa_circ_0002484/hsa-miR-26b-3p/PYCARD, hsa_circ_0047870/hsa-miR-20b-3p/HTRA2 and hsa_circ_0004027/hsa-miR-26a-5p/HIF1A ceRNA axes could promote the development of HF with AF through the PCD-related pathway. Conclusions: We suggested that the imbalance of immune cell composition in PBMCs may play an initial role in the progression of HF with AF. The PCD-related ceRNA regulatory network may be the potential therapeutic target in the occurrence and progression of HF with AF. The circRNAs could serve as novel diagnostic markers.
Project description:In this project we have performed a miRNOme analysis of CF cells from CF patients cultured in air-liquid interface compared to non-CF cells cultured in the same condition.
Project description:The role of a number of miRNAs found to be differentially expressed in prostate cancer was functionally investigated by overexpressing them in DU145 prostate cancer cells and by analyzing gene expression profiles.
Project description:The study was aimed at identifying genes directly or indirectly regulated by miR-205 in the prostate. To this purpose, DU145 prostate cancer cells, which express miR-205 at very low levels, were transfected with miR-205 synthetic precursor and consequent alterations of gene expression analyzed using a microarray approach. Keywords: comparison betweed cells exposed to different miRNA precursors
Project description:Prostate cancer stem-like cells were derived from DU145 cells as suspension spheres. DU145 cells were transduced with a CNTN1 over expressing retroviral vector and a control empty vector. DU145 spheres were transduced using a retroviral-based shRNA vector against CNTN1 and a scrambled control shRNA viral vector. Both cell lines were cultured over a couple of passages before RNA was collected.