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Links from GEO DataSets

Items: 20

1.

miRNAs in ovarian cancer: A systems approach (mRNA data)

(Submitter supplied) MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We report the results of a systems analysis of miRNA regulation in ovarian cancer. We found that 33 miRNAs are up-regulated and 9 down-regulated in CEPI relative to OSE (p<0.01, ≥2 fold change). Of these, 12 were previously annotated miRNAs (Sanger miRBase) of which 9 are up-regulated and 3 are down-regulated in CEPI relative to OSE. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
8 Samples
Download data: CEL, CHP
Series
Accession:
GSE23391
ID:
200023391
2.

miRNAs in ovarian cancer: A systems approach (MAS5, plier, GCRMA)

(Submitter supplied) MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. Previous studies have shown that miRNAs inhibit the translation and facilitate the degradation of their targeted mRNAs making them attractive candidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand and accurately predict the consequences of fluctuations in levels of miRNAs within the context of complex tumor cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
30 Samples
Download data: CEL, CHP
Series
Accession:
GSE27431
ID:
200027431
3.

miRNAs in ovarian cancer: A systems approach (miRNA data)

(Submitter supplied) MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We report the results of a systems analysis of miRNA regulation in ovarian cancer. We found that 33 miRNAs are up-regulated and 9 down-regulated in CEPI relative to OSE (p<0.01, ≥2 fold change). Of these, 12 were previously annotated miRNAs (Sanger miRBase) of which 9 are up-regulated and 3 are down-regulated in CEPI relative to OSE. more...
Organism:
Rattus norvegicus; synthetic construct; Homo sapiens; Mus musculus
Type:
Non-coding RNA profiling by array
Platform:
GPL9735
6 Samples
Download data: CEL
Series
Accession:
GSE23383
ID:
200023383
4.

miRNA expression profile of pre-transfected HEY cells

(Submitter supplied) MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We wanted to quantify the levels of endogenous miRNAs in pre-transfected HEY ovarian cancer cells to identify the highly expressed miRNAs. It was previously established that transfection of small RNAs can globally perturb gene expression, and one mechanism responsible for such alterations may involve de-repression of targets of endogenous miRNAs because of the saturation of the RISC complexes by the exogenously administered small RNA (Khan et al., 2009. more...
Organism:
synthetic construct; Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL8786
2 Samples
Download data: CEL
Series
Accession:
GSE29126
ID:
200029126
5.

Ovarian Cancer Cell Lines pre-microRNA Transfection

(Submitter supplied) MicroRNAs (miRNAs) represent a class of small non-coding RNAs that control gene expression by targeting mRNAs and triggering either translation repression or RNA degradation. Emerging evidence suggests the potential involvement of altered regulation of miRNA in the pathogenesis of cancers, and these genes are thought to function as both tumor suppressors and oncogenes. Using microRNA microarrays, we identify several miRNAs aberrantly expressed in human ovarian cancer tissues and cell lines. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6104
24 Samples
Download data: TXT
Series
Accession:
GSE12615
ID:
200012615
6.

Ovarian Cancer MicroRNA

(Submitter supplied) Comparison of various ovarian tumors and ovarian cell lines. Keywords: Various ovarian tumors and cell lines.
Organism:
Homo sapiens; Mus musculus; Rattus norvegicus
Type:
Non-coding RNA profiling by array
Platform:
GPL6350
45 Samples
Download data: TXT
Series
Accession:
GSE10150
ID:
200010150
7.

Identifying microRNA-mRNA regulatory networks in colorectal cancer by a combination of expression profile and bioinformatics analysis

(Submitter supplied) A multi-step approach combining microarray profile and bioinformatics analysis was adopted to identify the CRC specific miRNA-mRNA regulatory network. First, differentially expressed miRNAs and mRNAs were found out in CRC samples compared with normal epithelial tissues by miRNA and mRNA microarray respectively. Secondly the target mRNAs of dysregualted miRNA were identified by a combination of Pearson correlation coefficient between the expression level of miRNAs and mRNAs and online miRNA target predicting databases. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Non-coding RNA profiling by array
Platforms:
GPL14767 GPL4133
32 Samples
Download data: TXT
Series
Accession:
GSE35982
ID:
200035982
8.

Differential miRNA expression profiles betweenHBV-related HCC tumor versus non-tumor liver tissue

(Submitter supplied) miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL10850
10 Samples
Download data: TXT
Series
Accession:
GSE69580
ID:
200069580
9.

PyMT 4 stages tumor progression microRNA sequencing

(Submitter supplied) We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression.
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL17021
24 Samples
Download data: CSV
Series
Accession:
GSE83189
ID:
200083189
10.

microRNA and mRNA expression in human hepatitis C Virus

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Non-coding RNA profiling by array
Platforms:
GPL887 GPL6955
153 Samples
Download data: TXT
Series
Accession:
GSE15387
ID:
200015387
11.

mRNA expression in human hepatitis c virus (HCV) liver biopsy samples

(Submitter supplied) In order to infer the inverse expression relationships between microRNAs and mRNAs during HCV infection, we profiled both microRNA and mRNA expressions in HCV positive (HCV+) and HCV negative (HCV-) human liver biopsy tissue samples. This series includes all mRNA profiles.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL887
117 Samples
Download data: TXT
Series
Accession:
GSE15331
ID:
200015331
12.

microRNA expression in human hepatitis c virus (HCV) liver biopsy samples

(Submitter supplied) In order to infer the inverse expression relationships between microRNAs and mRNAs during HCV infection, we profiled both microRNA and mRNA expressions in HCV positive (HCV+) and HCV negative (HCV-) human liver biopsy tissue samples. This series includes all microRNA profiles.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL6955
36 Samples
Download data: TXT
Series
Accession:
GSE15288
ID:
200015288
13.

Deregulated MicroRNA and mRNA Expression Profiles in the Peripheral Blood of Patients with Marfan Syndrome

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Non-coding RNA profiling by array
Platforms:
GPL16699 GPL16770
28 Samples
Download data: TXT
Series
Accession:
GSE110966
ID:
200110966
14.

Deregulated MicroRNA and mRNA Expression Profiles in the Peripheral Blood of Patients with Marfan Syndrome (microRNA)

(Submitter supplied) We performed integrated miRNA and mRNA expression profiling in blood samples of Marfan patients in order to investigate deregulated miRNA and mRNA networks in these patients which could serve as potential diagnostic and prognostic tools for MFS therapy.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL16770
14 Samples
Download data: TXT
Series
Accession:
GSE110965
ID:
200110965
15.

Deregulated MicroRNA and mRNA Expression Profiles in the Peripheral Blood of Patients with Marfan Syndrome (mRNA)

(Submitter supplied) We performed integrated miRNA and mRNA expression profiling in blood samples of Marfan patients in order to investigate deregulated miRNA and mRNA networks in these patients which could serve as potential diagnostic and prognostic tools for MFS therapy.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16699
14 Samples
Download data: TXT
Series
Accession:
GSE110964
ID:
200110964
16.

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Third-party reanalysis; Non-coding RNA profiling by array
Platform:
GPL570
20 Samples
Download data: CEL, CHP
Series
Accession:
GSE52460
ID:
200052460
17.

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression (miRNA)

(Submitter supplied) MicroRNAs are small non-coding molecules that have been shown to repress the translation of thousands of genes. Changes in microRNA expression in a variety of diseases, including cancer, are leading to the development of microRNAs as early indicators of disease, and to their potential use as therapeutic agents. A significant hurdle to the use of microRNAs as therapeutics is our inability to predict the molecular and cellular consequences of perturbations in the levels of specific microRNAs on targeted cells. more...
Organism:
Homo sapiens
Type:
Third-party reanalysis; Non-coding RNA profiling by array
Download data
Series
Accession:
GSE52459
ID:
200052459
18.

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression (mRNA)

(Submitter supplied) MicroRNAs are small non-coding molecules that have been shown to repress the translation of thousands of genes. Changes in microRNA expression in a variety of diseases, including cancer, are leading to the development of microRNAs as early indicators of disease, and to their potential use as therapeutic agents. A significant hurdle to the use of microRNAs as therapeutics is our inability to predict the molecular and cellular consequences of perturbations in the levels of specific microRNAs on targeted cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
20 Samples
Download data: CEL, CHP, TXT
Series
Accession:
GSE52037
ID:
200052037
19.

Evidence for the importance of post-transcriptional regulatory changes in ovarian cancer progression and the contribution of miRNAs

(Submitter supplied) High-throughput technologies have identified significant changes in patterns of mRNA expression over cancer development but the functional significance of these changes often resets upon the assumption that observed changes in levels of mRNA accurately reflect changes in levels of their encoded proteins. We systematically compared the expression of genes on the RNA and protein levels between discrete tumor samples collected from the ovary and from the omentum of the same OC patient. more...
Organism:
Homo sapiens; synthetic construct
Type:
Expression profiling by array; Non-coding RNA profiling by array
Platforms:
GPL17586 GPL16384
12 Samples
Download data: CEL, CHP
Series
Accession:
GSE100315
ID:
200100315
20.

RNA-seq on miRNA induced mouse keratinocytes. miR-200b cluster and miR-205.

(Submitter supplied) Vehicle versus Doxycycline miRNA induction.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL24247 GPL21103
10 Samples
Download data: TAB, TXT
Series
Accession:
GSE131205
ID:
200131205
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