GEO DataSets

(Submitter supplied) The construction of complex gene regulatory networks requires both inhibitory and up-regulatory modules. However, the vast majority of RNA-based regulatory “parts” are inhibitory. Using a synthetic biology approach combined with SHAPE-Seq, we explored the regulatory effect of RBP-RNA interactions in bacterial 5’-UTRs. By positioning a library of RNA hairpins upstream of a reporter gene and co-expressing them with the matching RBP, we observed a set of regulatory responses, including translational stimulation, translational repression, and cooperative behavior. more...

Organism:

Pseudomonas phage PP7; Escherichia coli

Type:

Other

Platforms:

GPL18133 GPL26373

40 Samples

Download data: XLSX

(Submitter supplied) This data is a subset of the miRQC study, submitted for publication in summer of 2013. The purpose of the study was to compare various aspects of miRNA profiling platform performance (reproducibility, sensitivity, accuracy, etc) using a standardized set of samples. The data included in this submission is a subset of the study data generated on the Agilent miRNA profiling system. The array used was designed to measure all of the human and human viral miRNAs in miRBase 16.0 and the is annotated based on miRBase 18. more...

Organism:

Escherichia phage MS2; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL15018

20 Samples

Download data: TXT

(Submitter supplied) MiRNAs are important negative regulators of protein coding gene expression, and have been studied intensively over the last few years. Several measurement platforms, designed to determine their relative RNA abundance levels in biological samples, have been developed. In this study, we systematically compared 12 commercially available miRNA expression platforms by measuring an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples, and synthetic spikes from miRNA family members with varying homology. more...

Organism:

Escherichia phage MS2; Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL17561 GPL10999

20 Samples

Download data: TSV