GEO DataSets

Analysis of HepG2 cells overexpressing miR-124 for up to 120 hours. Results combined with a computational method for predicting miRNA targets to identify targets of miR-124.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 protocol, 7 time sets

Platform:

GPL570

Series:

GSE6207

14 Samples

Download data: CEL

(Submitter supplied) This time course analysis is to study the targets and functions of miR-124. MiR-124 was overexpressed and the effect of miR-124 overexpression was compared to negative controls to identify downregulated genes and potential miRNA targets. Keywords: time course

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2657

Platform:

GPL570

14 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

12 Samples

Download data: CEL

(Submitter supplied) Total RNA samples from three biological replicates in which the hsa-mir-98 was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67 Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

6 Samples

Download data: CEL

(Submitter supplied) Total RNA samples from three biological replicates in which the hsa-mir-26b was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67 Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

6 Samples

Download data: CEL

(Submitter supplied) Twenty-four triple-negative breast cancer and 14 adjacent normal tissues were collected from breast cancer patients during surgeries at National Taiwan University Hospital (NTUH, Taipei, Taiwan). All triple-negative breast cancer samples were invasive ductal carcinomas (IDC) and were negative in immunohistochemical statuses of ER, PR, and HER2 receptors, as confirmed by professional pathologists. Treatment procedure of all patients followed the National Comprehensive Cancer Network (NCCN) guideline. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL13393

38 Samples

Download data: TXT

(Submitter supplied) Cumulus cells are biologically distinct from other follicular cells and perform specialized roles, transmitting signals within the ovary and supporting oocyte maturation during follicular development. The bi-directional communication between the oocyte and the surrounding cumulus cells is crucial for the acquisition of oocyte competence. Using Illumina/deep-sequencing technology, we dissected the small RNAome of pooled human mature MII oocytes and cumulus cells.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL9115

2 Samples

Download data: TXT

(Submitter supplied) microRNAs (miRNAs) are abundant, ~21 nucleotide (nt) non-coding regulatory RNAs. Each miRNA may regulate hundreds of mRNA targets, but the identities of these targets and the processes they regulate are poorly understood. Here we have explored the use of microarray profiling and functional screening to identify targets and biological processes triggered by transfection of miRNAs into human cells. We demonstrate that a family of miRNAs sharing sequence identity with miR-16 negatively regulates cellular growth and cell cycle progression. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL4372 GPL3991

71 Samples

Download data

(Submitter supplied) We perform a large-scale RNA sequencing study to experimentally identify genes that are downregulated by 25 miRNAs. This RNA-seq dataset is combined with public miRNA target binding data to systematically identify miRNA targeting features that are characteristic of both miRNA binding and target downregulation. By integrating these common features in a machine learning framework, we develop and validate an improved computational model for genome-wide miRNA target prediction. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21290

52 Samples

Download data: TXT