refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 33 results
Sort by

Filters

Technology

Platform

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

View Samples
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

View Samples
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
accession-icon GSE16572
Gene expression analyses of mir-182 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-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.

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 GSE16571
Gene expression analyses of mir-100 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-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.

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 GSE91393
Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact