Project description:A azopodophyllotoxin small molecule, SU056, was identified as a novel inhibitor of Y Box Binding Protein 1 and may inhibit progression of ovarian cancer.
Project description:Background: MicroRNAs (miRNAs) are small regulatory RNAs that are implicated in cancer pathogenesis and have recently shown promise as blood-based biomarkers for cancer detection. Epithelial ovarian cancer is a deadly disease for which improved outcomes could be achieved by successful early detection and enhanced understanding of molecular pathogenesis that leads to improved therapies. A critical step toward these goals is to establish a comprehensive view of miRNAs expressed in epithelial ovarian cancer tissues as well as in normal ovarian surface epithelial cells. Methodology: We used massively parallel pyrosequencing (i.e., M-bM-^@M-^\454 sequencingM-bM-^@M-^]) to discover and characterize novel and known miRNAs expressed in primary cultures of normal human ovarian surface epithelium (HOSE) and in tissue from three of the most common histotypes of ovarian cancer. Deep sequencing of small RNA cDNA libraries derived from normal HOSE and ovarian cancer samples yielded a total of 738,710 high-quality sequence reads, generating comprehensive digital profiles of miRNA expression. Expression profiles for 498 previously annotated miRNAs were delineated and we discovered six novel miRNAs and 39 candidate miRNAs. A set of 124 miRNAs was differentially expressed in normal versus cancer samples and 38 miRNAs were differentially expressed across histologic subtypes of ovarian cancer. Taqman qRT-PCR performed on a subset of miRNAs confirmed results of the sequencing-based study.
Project description:Comparison between cell lines from 9 different cancer tissue of origin types (Breast, Central Nervous System, Colon, Leukemia, Melanoma, Non-Small Cell Lung, Ovarian, Prostate, Renal) from NCI-60 panel
2012-02-01 | GSE32264 | GEO
Project description:small RNA sequencing in ovarian cancer
Project description:To determine microRNA expression in chemoresistant ovarian cancer, we have employed whole microRNA microarray expression profiling as a discovery platform to identify genes with the potential to distinguish recurrent ovarian cancer. 8 recurrent ovarian cancer tissue and 8 primary ovarian cancer tissue and 4 normal ovarian tissue was used to identify miRNA profiling.
Project description:Purpose: The aim of this study is to identify known and novel small RNAs (Piwi-interacting RNAs and microRNAs) in normal ovary and epithelial ovarian malignancies by adopting high-throughput RNA sequencing (RNA-Seq) and unveil their possible functions in neoplastic pathways of the two most frequently observed and highly lethal subtypes of epithelial ovarian cancers, endometrioid ovarian cancer (ENOCa) and serous ovarian cancer (SOCa). The study has been performed in normal ovarian tissues as well as malignant tissues of these cancer subtypes. Methods: 1 µg of total RNA was used as the starting material for library preparation as prescribed by Illumina Truseq small RNA library protocol. Small RNA sequencing was carried out by Genotypic Technology, Bangalore, India on Illumina Next-Seq 500 platform. Library preparation was done by performing 3' and 5' adapter ligation followed by reverse transcription of cDNA and amplification of the library. The construct of the library was fractionated to select 16-40 nucleotide insert of small RNAs using PAGE. The quality check of the library was done in Agilent Technologies 2100 Bioanalyzer using a DNA-specific chip, such as High Sensitivity DNA. The sequence reads that passed through Quality Check by FastQC and aligned to the human genome (hg19) were further analysed using in-house pipelines and set of known and novel piRNAs and miRNAs were identified. The sets of known piRNAs and miRNAs identified were assessed for their involvement in neoplastic processes of ovarian cancer subtypes by performing target analysis and GO enrichment studies. Results: Using an in-house prediction pipeline, we mapped about 10-15 million sequence reads per sample to the human genome (hg19) and detected 256, 234 and 219 annotated piRNAs in ENOCa, SOCa, and normal ovary respectively; whereas the average number of known miRNAs present in each sample was estimated to be 480. The annotated piRNAs obtained from each sample exhibited varied length distribution between 26-32 nts. Conclusions: For the first time, our study reported the presence of piRNAs in ENOCa, SOCa and normal ovarian tissue from the next-gen sequencing of small RNAs of 16-40 nts length. The extensive catalogue of human EOCa small RNAs (both piRNAs and miRNAs) detected in this study provides a useful resource to dissect complex neoplastic events that are possibly mediated by these ncRNAs, especially by piRNAs. Moreover, these piRNAs could be used as probable small RNA biomarkers for the EOCa.
Project description:Bone morphogenetic proteins (BMPs) are extracellular signaling molecules that belong to the transforming growth factor beta (TGF-β) superfamily. By regulating target gene transcription, BMPs control various cellular processes, such as proliferation, differentiation, apoptosis and migration. In addition, rBMP2 was used to observe BMP signaling in treatment of ovarian cancer cell line SK-OV-3. We attempted to address the possible roles of BMP signaling by inhibiting a wide-range of downstream pathways using a small molecule inhibitor of type I BMPRs, dorsomorphin. The potential utility of this molecule as a molecular inhibitor of BMP signaling in treatment of ovarian cancer cell line SK-OV-3 was also evaluated.
2014-08-07 | GSE60135 | GEO
Project description:Small RNA sequencing of rat ovarian tissue samples
Project description:The emergence of tumor cells with certain stem-like characteristics such as high aldehyde dehydrogenase (ALDH) activity contributes to chemotherapy resistance. Here we report that inhibition of the BET protein BRD4 potentiates the tumor suppressive effects of cisplatin by targeting ALDH activity. The clinically applicable small molecule BET inhibitor JQ1 synergized with cisplatin by suppressing the growth of epithelial ovarian cancer cells both in vitro and in vivo. This correlated with the suppression of ALDH activity and ALDH1A1 gene expression. BRD4 regulates ALDH1A1 gene transcription through a super-enhancer and expression of its associated enhancer RNA. Thus, targeting the BET protein BRD4 using clinical applicable small molecule inhibitors such as JQ1 is a promising strategy to enhance cisplatin response.