Gene expression analyses of putative miRNA targets in ovarian clear cell cancer cell lines
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ABSTRACT:
PROVIDER: PRJNA116129 | ENA |
REPOSITORIES: ENA
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Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways. Gene expression profiling was completed for 10 clear cell ovarian cancer specimens and 10 normal ovarian surface epithelium using the Affymetrix human U133 Plus 2.0 Arrays
2011-05-24 | E-GEOD-29450 | biostudies-arrayexpress
Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways.
2011-05-24 | GSE29450 | GEO
Project description:A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Keywords: two group comparison; gene expression profiling
2010-01-28 | GSE16570 | GEO
Project description:ARID1A, which encodes a component of the SWI/SNF chromatin-remodeling complex, is commonly mutated in ovarian clear cell carcinoma and many other cancer types. We used label-free LC-MS/MS to identify ARID1A-dependent proteome changes in ovarian clear cell carcinoma cell lines. In our first analysis, we compared ARID1A-wildtype ovarian clear cell carcinoma cell line OVCA429 with or without ARID1A CRISPR knockout. In a complementary analysis, we compared ARID1A-mutated ovarian clear cell carcinoma cell line OVISE with or without ARID1A overexpression using a tet-inducible promoter.
2016-07-13 | MSV000079904 | MassIVE
Project description:A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Furthermore, gene expression profiles were taken of clear cell cultures having functional knockdown or over-expression of specific microRNAs of interest. Knockdown of mir-100 (found under-expressed in clear cell OvCa) resulted in down-regulation in vitro of a significant number of the in silico predicted mir-100 target genes that were normally over-expressed in OvCa. Keywords: two group comparison; gene expression profiling
2010-01-28 | GSE16571 | GEO
Project description:A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Furthermore, gene expression profiles were taken of clear cell cultures having functional knockdown or over-expression of specific microRNAs of interest. Knockdown of mir-182 (found over-expressed in clear cell OvCa) resulted in up-regulation in vitro of a significant number of the in silico predicted mir-182 target genes that were normally under-expressed in OvCa. Keywords: two group comparison; gene expression profiling
2010-01-28 | GSE16572 | GEO
Project description:A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Furthermore, gene expression profiles were taken of clear cell cultures having functional knockdown or over-expression of specific microRNAs of interest. Knockdown of mir-30a (found over-expressed in clear cell OvCa) resulted in up-regulation in vitro of a significant number of the in silico predicted mir-30a target genes that were normally under-expressed in OvCa. Keywords: two group comparison; gene expression profiling
2010-01-28 | GSE16569 | GEO
Project description:A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Furthermore, gene expression profiles were taken of clear cell cultures having functional knockdown or over-expression of specific microRNAs of interest. Knockdown of mir-22 (found under-expressed in clear cell OvCa) resulted in down-regulation in vitro of a significant number of the in silico predicted mir-22 target genes that were normally over-expressed in OvCa. Keywords: two group comparison; gene expression profiling
2010-01-28 | GSE16568 | GEO
Project description:Endometriosis, a benign inflammatory disease whereby endometrial-like tissue grows outside the uterus, is a risk factor for endometriosis-associated ovarian cancers. In particular, ovarian endometriomas, cystic lesions of deeply invasive endometriosis, are considered the precursor lesion for ovarian clear-cell carcinoma (OCCC). To explore the transcriptomic landscape, OCCC from women with pathology-proven concurrent endometriosis (n = 4) were compared to benign endometriomas (n = 4) by bulk RNA and small-RNA sequencing.
2023-07-29 | GSE230956 | GEO
Project description:Clear cell ovarian carcinoma (CCOC) is the second most common subtype of epithelial ovarian carcinoma. Late stage CCOC is not responsive to gold-standard chemotherapy and result in suboptimal outcome for patients. In-depth molecular insight is urgently needed to stratify the disease and drive therapeutic development. We conducted global proteomics in 192 cases of CCOC comparing to other epithelial ovarian carcinoma subtypes.
2022-09-02 | PXD032355 | Pride