Project description:Salivary exosomes were collected from healthy people and patients with benign and malignant tumors, and small RNA sequencing was performed to screen differential small Rnas for tumor screening
Project description:We collected ovarian follicle fluids from 68 patients and assigned them to good group or bad group according to their oocyte quality. The exosomes were isolated and characterized. Exosomal microRNAs were extracted, the library was constructed and sequenced by Illumina hiseq platform. The exosomal microRNA expression was analyzed and profiled, the target genes were predicted, GO terms were enriched by GOSeq and KEGG pathway was analyzed using miranda.A total of 47 differential microRNAs was expressed significantly between good and bad group, of which 9 microRNAs were known microRNAs and 7 of them was upregulated in the bad group. In-silico analysis indicated that several of these exosomal microRNAs were involved in pathways implicated in oocyte quality.Our study suggests that exosomal microRNAs in ovarian follicle fluid are critical in maintaining the oocyte quality. Our study greatly improve our understanding of exosomal microRNAs in human ovarian follicular fluid, paving the way for further investigation on the microRNA functions in the ovarian microenvironment and the mechanism behind it.
Project description:Ovarian cancer is the leading cause of death in gynecological diseases, and has been considered as one of the most fatal cancers due to lack of reliable detection strategy in the early stage. Therefore the capability to detect the morbidity initiation with an sensitive and effective approach is one of the most desirable goals for curing ovarian cancer. In this study, we used microarray technology for salivary mRNA biomarkers discovery, and evaluated the performance and translational utilities of discovered markers from a clinical study using an independent sample cohort . We used microarrays to profile and compare the gene expressions between ovairan cancer patient and matched controls, and identified seven down-regulated genes after the validation study. To find salivary transcriptomic biomarkers for ovarian cancer, salivary transcriptomes in 11 ovarian cancer patients and 11 matched controls were profiled using Affymetrix HG-U133-Plus-2.0 array, and followed by t-test and fold-change analyses. The biomarker candidates selected from the microarray results were subjected to clinical validation using an independent sample cohort by RT-qPCR. The prediction power of biomarkers was analyzed by logistic regression approach
Project description:Small non-coding RNA profiling of urine exosomal total RNA from patients with or without prostate cancer were performed using Affymetrix GeneChip miRNA 4.0 to identify small non-coding RNA profile that can be used for prostate cancer diagnosis.
Project description:Small non-coding RNA profiling of urine exosomal total RNA from patients with or without prostate cancer were performed using Affymetrix miRNA Gene-Chip 4.0 to identify small non-coding RNA proflie that can be used for prostate cancer diagnosis.
Project description:Exosomes endogenous microRNAs (miRNAs) play critical roles in many biological processes.to obtain profiles of the miRNAs of exosomal and cell lysates in ovarian cancer cell lines.
Project description:To check the profile of exosomal and cellular miRNA in ovarian cancer cell lines, total RNA were extracted from exosomes and cells. Thirteen ovarian cancer cell lines (A2780, ES-2, CAOV3, SKOV3, OV-90, OAW42, MCAS, COV362, RMG-1, RMUG-S, KURAMOCHI, NIH-OVCAR3 and A2780cis) were investigated, and HOSE1, HOSE2 and HOSE3 (human ovarian surface epithelim cell lines) were used as control.
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.
Project description:Ovarian cancer is the leading cause of death in gynecological diseases, and has been considered as one of the most fatal cancers due to lack of reliable detection strategy in the early stage. Therefore the capability to detect the morbidity initiation with an sensitive and effective approach is one of the most desirable goals for curing ovarian cancer. In this study, we used microarray technology for salivary mRNA biomarkers discovery, and evaluated the performance and translational utilities of discovered markers from a clinical study using an independent sample cohort . We used microarrays to profile and compare the gene expressions between ovairan cancer patient and matched controls, and identified seven down-regulated genes after the validation study.