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Links from GEO DataSets

Items: 20

1.

Ovarian serous cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
39 Samples
Download data: TXT
Series
Accession:
GSE16709
ID:
200016709
2.

Gene expression analysis of ovarian serous adenocarcinoma cell lines and tumors

(Submitter supplied) 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). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
33 Samples
Download data: TXT
Series
Accession:
GSE16708
ID:
200016708
3.

Gene expression analyses of mir-31 overexpression in ovarian serous cancer cell line

(Submitter supplied) 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). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
6 Samples
Download data: TXT
Series
Accession:
GSE16700
ID:
200016700
4.

Expression data from high-grade serous ovarian carcinomas (HGSC), clear cell ovarian carcinomas (CCC) and ovarian surface epithelium (OSE)

(Submitter supplied) Background: The aim of this study was to identify differentially expressed miRNAs in high-grade serous ovarian carcinoma (HGSC), clear cell ovarian carcinoma (CCC) and ovarian surface epithelium (OSE). Selected miRNAs were evaluated for association with clinical parameters including survival, and miRNA/mRNA interactions were mapped. Results: Differentially expressed miRNAs between HGSC, CCC and OSE were identified, of which 18 were validated (p<0.01) using RT-qPCR in an extended cohort. more...
Organism:
synthetic construct; Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL14613
30 Samples
Download data: CEL
Series
Accession:
GSE47841
ID:
200047841
5.

Gene expression changes initiated by miR-34c in Dicer/Pten double knockout mouse serous epithelial cancer

(Submitter supplied) 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. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6887
6 Samples
Download data: TXT
Series
Accession:
GSE57493
ID:
200057493
6.

miRNA profiling in high-grade serous ovarian carcinoma

(Submitter supplied) In this study, we performed miRNA profiles analysis of high-grade serous ovarian carcinoma compared to normal fallopian tube fimbria using microarray (Exiqon, Denmark) to evaluate their potential role in the pathogenesis of uterine leiomyoma.
Organism:
Homo sapiens; synthetic construct
Type:
Non-coding RNA profiling by array
Platform:
GPL17107
10 Samples
Download data: TXT
Series
Accession:
GSE61485
ID:
200061485
7.

microRNA profiling of recurrent high grade ovarian carcinoma compared to primary ovarian cancer and normal ovary

(Submitter supplied) To determine microRNA expression in chemoresistant ovarian cancer, we have employed whole microRNA microarray expression profiling as a discovery platform to identify genes with the potential to distinguish recurrent ovarian cancer. 8 recurrent ovarian cancer tissue and 8 primary ovarian cancer tissue and 4 normal ovarian tissue was used to identify miRNA profiling.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL22079
20 Samples
Download data: TXT
Series
Accession:
GSE83693
ID:
200083693
8.

Genomic analysis of low-grade serous ovarian carcinomas

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by SNP array
4 related Platforms
68 Samples
Download data: CEL
Series
Accession:
GSE57280
ID:
200057280
9.

Genomic analysis of low-grade serous ovarian carcinomas [IL610Q]

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differences in genomic copy number changes between co-existing borderline and invasive components of serous carcinoma.
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL8887
14 Samples
Download data: TXT
Series
Accession:
GSE57279
ID:
200057279
10.

Genomic analysis of low-grade serous ovarian carcinomas [ILOEF]

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted.We sought to identify differences in genomic copy number changes between co-existing borderline and invasive components of serous carcinoma.
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL18643
10 Samples
Download data: TXT
Series
Accession:
GSE57276
ID:
200057276
11.

Genomic analysis of low-grade serous ovarian carcinomas [ILOE]

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differences in genomic copy number changes in borderline and invasive components of serous carcinoma.
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL13135
30 Samples
Download data: TXT
Series
Accession:
GSE57270
ID:
200057270
12.

Genomic analysis of low-grade serous ovarian carcinomas [EXP]

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differentially expressed genes between co-existing borderline and invasive components of serous carcinoma.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
14 Samples
Download data: CEL
Series
Accession:
GSE56443
ID:
200056443
13.

Modulation of the osteosarcoma expression phenotype by miRNAs

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array; Expression profiling by array
Platforms:
GPL8227 GPL13376
46 Samples
Download data: TXT
Series
Accession:
GSE28425
ID:
200028425
14.

Modulation of the osteosarcoma expression phenotype by miRNAs [Illumina]

(Submitter supplied) Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13376
23 Samples
Download data: TXT
Series
Accession:
GSE28424
ID:
200028424
15.

Modulation of the osteosarcoma expression phenotype by miRNAs [Agilent]

(Submitter supplied) Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL8227
23 Samples
Download data: TXT
Series
Accession:
GSE28423
ID:
200028423
16.

Expression data from fibroblast growth factor receptor 4 (FGFR4) knock down ovarian cancer cell lines

(Submitter supplied) Advanced ovarian cancer is the most lethal gynecologic malignancy in the United States. Currently patients are treated by surgical cytoreductive surgery with the aim of reducing tumor burden to microscopic disease followed by adjuvant combined treatment with a platinum and taxane containing chemotherapy, which affords 80% of patients an initial complete response. However, Abdominal and pelvic recurrence rates are high and response to further chemotherapy is limited. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
6 Samples
Download data: CEL, CHP
Series
Accession:
GSE34828
ID:
200034828
17.

Ovarian Tumor Samples: mixed reference of 106 pooled ovarian samples vs. individual patient ovarian sample

(Submitter supplied) The goal of the study was to identify molecular subgroups that might predict clinical outcomes in serous epithelial ovarian cancer (EOC) patients. A second objective was to identify potential therapeutic targets for serous EOC based on improved understanding of the molecular diversity of the disease. Ovarian tissues and matched peripheral blood samples were prospectively obtained from sequential patients undergoing planned gynecologic surgery at Cedars-Sinai Medical Center between 1989 and 2005. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL7264
172 Samples
Download data: TXT
Series
Accession:
GSE51088
ID:
200051088
18.

Gene expression analyses of putative miRNA targets in ovarian clear cell cancer cell lines

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
40 Samples
Download data: TXT
Series
Accession:
GSE16574
ID:
200016574
19.

Gene expression analyses of mir-182 knockdown in ovarian clear cell cancer cell line

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
6 Samples
Download data: TXT
Series
Accession:
GSE16572
ID:
200016572
20.

Gene expression analyses of mir-100 overexpression in ovarian clear cell cancer cell line

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
6 Samples
Download data: TXT
Series
Accession:
GSE16571
ID:
200016571
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