Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles [mRNA]

ABSTRACT: Comparison of mRNA expression profiles in W12 Series 1 cervical ectokeratinocytes at passage number 22 versus 19 (during which time the cells gain an invasive phenotype) As these cells demonstrate gain of chromosome 5p during this time, mRNA expression profiling data interrogated for over-expressed genes on 5p that may be important in cervical neoplastic progression. Analyzed global mRNA expresion profiles from W12 Series 1 cells (3 replicates at passage 22 versus 3 replicates at passage 19)

ORGANISM(S): Homo sapiens

SUBMITTER: Matthew Murray

PROVIDER: E-GEOD-26176 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Functional evidence that Drosha overexpression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles.

Muralidhar Balaji B Winder David D Murray Matthew M Palmer Roger R Barbosa-Morais Nuno N Saini Harpreet H Roberts Ian I Pett Mark M Coleman Nicholas N

The Journal of pathology 20110518 4

Although gain of chromosome 5p is one of the most frequent DNA copy-number imbalances in cervical squamous cell carcinoma (SCC), the genes that drive its selection remain poorly understood. In a previous cross-sectional clinical study, we showed that the microRNA processor Drosha (located on chromosome 5p) demonstrates frequent copy-number gain and overexpression in cervical SCC, associated with altered microRNA profiles. Here, we have conducted gene depletion/overexpression experiments to demon ...[more]

PMID: 21590768

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Project description:Although gain of chromosome-5p is one of the most frequent DNA copy number imbalances in cervical squamous cell carcinoma (SCC), the genes that drive its selection remain poorly understood. In a previous cross-sectional clinical study we showed that the microRNA processor Drosha (located on chromosome-5p) demonstrates frequent copy-number gain and over-expression in cervical SCC, associated with altered microRNA profiles. Here, we have conducted gene depletion/over-expression experiments to demonstrate the functional significance of up-regulated Drosha in cervical SCC cells. Drosha depletion by RNA-interference (RNAi) produced significant, specific reductions in cell motility/invasiveness in vitro, with a silent RNAi-resistant Drosha mutation providing phenotype rescue. Unsupervised hierarchical clustering following global profiling of 319 microRNAs in eighteen cervical SCC cell line specimens generated two groups according to Drosha expression levels. Altering Drosha levels in individual SCC lines changed the group into which the cells clustered, with gene depletion effects being rescued by the RNAi-resistant mutation. Forty-five microRNAs showed significant differential expression between the groups, including four of fourteen that were differentially-expressed in association with Drosha levels in clinical samples. miR-31 up-regulation in Drosha over-expressing samples/cell lines was the highest-ranked change (by adjusted p-value) in both analyses, an observation validated by Northern blotting. These functional data support the role of Drosha as an oncogene in cervical SCC, by affecting expression of cancer-associated microRNAs that have the potential to regulate numerous protein-coding genes. This SuperSeries is composed of the following subset Series: GSE26175: Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles [miRNA] GSE26176: Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles [mRNA] Refer to individual Series

Dataset Information

Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles [mRNA]

Publications

Functional evidence that Drosha overexpression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles.

Similar Datasets

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