Aberrant TGFbeta signalling is a hallmark of epithelial derived tumours. Signalling patterns can depend on the membrane trafficking and internalization of the TGFbeta receptors. Protein kinase C (PKC), particularly the atypical PKC isoforms, alter the trafficking of TGFbeta receptors and can alter TGFbeta induced gene expression.
aPKC alters the TGFβ response in NSCLC cells through both Smad-dependent and Smad-independent pathways.
Cell line, Treatment, Time
View SamplesmiR-34c inhibits Dicer/Pten double knockout mouse serous epithelial cancer cell proliferation by inducing cell cycle arrest and apoptosis. We found that miR-34c had a more dramatic effect on inhibiting tumor cell viability than let-7b. The action of miR-34c induced tumor cell cycle arrest in G1 phase and apoptosis and was accompanied with the regulation of key genes involved in cell proliferation and cell cycle G1/S transition. miR-34c suppressed the expression of EZH2 and MYBL2, which may transcriptionally and functionally activate CDKN1C.
Functional analysis of miR-34c as a putative tumor suppressor in high-grade serous ovarian cancer.
Cell line
View SamplesEndometriosis is a common disease seen by gynecologists. Clinical features involve pelvic pain and unexplained infertility. Although endometriosis is pathologically characterized by endometrial tissue outside the normal uterine location, endometriosis is otherwise not easily explained. Endometriomas, endometriotic cysts of the ovary, typically cause pain and distortion of pelvic anatomy. To begin to understand the pathogenesis of endometriomas, we carried out transcriptome:microRNAome analysis of endometriomas and eutopic endometrium, using gene expression arrays and next generation small RNA sequencing technology.
Functional microRNA involved in endometriosis.
Disease, Disease stage, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.
Disease, Disease stage, Cell line
View SamplesA 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 serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). 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.
Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.
Disease, Disease stage, Cell line
View SamplesA 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 serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). 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 serous cultures having functional knockdown or over-expression of specific microRNAs of interest. Over-expression of mir-31 (found under-expressed in serous OvCa) resulted in down-regulation in vitro of a significant number of the in silico predicted mir-31 target genes.
Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.
Cell line
View SamplesA 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.
A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.
Cell line
View SamplesA 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.
A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.
No sample metadata fields
View SamplesA 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.
A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.
No sample metadata fields
View Samples