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accession-icon GSE26241
Expression data from TGFbeta-treated control or aPKC silenced A549 cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

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.

Publication Title

aPKC alters the TGFβ response in NSCLC cells through both Smad-dependent and Smad-independent pathways.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE57493
Gene expression changes initiated by miR-34c in Dicer/Pten double knockout mouse serous epithelial cancer
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

miR-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.

Publication Title

Functional analysis of miR-34c as a putative tumor suppressor in high-grade serous ovarian cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE23339
Gene expression profiles of endometriosis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Endometriosis 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.

Publication Title

Functional microRNA involved in endometriosis.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE16709
Ovarian serous cancer
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE16708
Gene expression analysis of ovarian serous adenocarcinoma cell lines and tumors
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

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 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.

Publication Title

Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples
accession-icon GSE16700
Gene expression analyses of mir-31 overexpression in ovarian serous cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

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 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.

Publication Title

Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16574
Gene expression analyses of putative miRNA targets in ovarian clear cell cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE16570
Gene expression analyses of ovarian clear cell cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

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.

Publication Title

A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE16569
Gene expression analyses of mir-30a knockdown in ovarian clear cell cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

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.

Publication Title

A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16568
Gene expression analyses of mir-22 overexpression in ovarian clear cell cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

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.

Publication Title

A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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