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GSE72755
Mus musculus
10 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
A toxicogenomic analysis from liver of different pharmacological active coumarins (mammea A/BA+A/BB 3:1 and soulatrolide ) was performed on mice treated (20mg/kg/daily) for a whole week to evaluate if such compounds possess or could develop a hazardous profile on liver.
Publication Title
Toxicogenomic analysis of pharmacological active coumarins isolated from Calophyllum brasiliense.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Rattus norvegicus
- 2 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Differentiation and maintenance of cardiac muscle is a complex biological process. MEF2D appears to play an important role in the regulation of cardiomyocyte homeostasis.
Publication Title
MEF2D deficiency in neonatal cardiomyocytes triggers cell cycle re-entry and programmed cell death in vitro.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Differentiation of muscle tissue is regulated by a complex network of transcription factors. The MEF2 family of transcription factors are important players in muscle development and differentiation.
Publication Title
MEF2 transcription factors regulate distinct gene programs in mammalian skeletal muscle differentiation.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We identified genes expressed in mouse skeletal muscle, during the process of muscle regeneration after injury, which are dysregulated in the absence of Mef2a expression. MEF2A is a member of the evolutionarily conserved MEF2 transcription factor family which has known roles in cardiac muscle development and function, but is not well studied in skeletal muscle. We performed a comparison of gene expression profiles in wild type and MEF2A knockout tibialis anterior muscle, seven days post-injury with cardiotoxin. The results indicated that a variety of genes expressed during muscle regeneration, predominantly microRNAs in the Gtl2-Dio3 locus, are dysregulated by the loss of MEF2A expression.
Publication Title
MEF2A regulates the Gtl2-Dio3 microRNA mega-cluster to modulate WNT signaling in skeletal muscle regeneration.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 4 Downloadable Samples
Illumina HiSeq 2000
Description
mRNA regulation by the circadian protein Nocturnin in A549 cells. Overall design: Total RNA from WT and NOCT KO A549 cells were subject to poly-A pulldown and RNA-seq.
Publication Title
The metabolites NADP<sup>+</sup> and NADPH are the targets of the circadian protein Nocturnin (Curled).
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The androgen receptor plays a critical role throughout the progression of prostate cancer and is an important drug target for this disease. While chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-Seq) is becoming an essential tool in studying transcription and chromatin modification factors, it has rarely been employed in the context of drug discovery. Here we report the first publicly available genome-wide and dose-dependent inhibition landscape of AR binding by drug-like small molecules including correlation with binding strength using ChIP-Seq. Integration of sequence analysis, transcriptome profiling, cell viability assays and in vivo tumor inhibition studies enabled us to establish a direct cistrome-activity relationship for two novel potent AR antagonists. By selectively occupying the strongest binding sites, AR signaling remains active even when low androgen levels are low, a scenario characteristic of first-line androgen ablation therapy. Coupled cistrome and transcriptome profiling upon small molecule antagonism led to the identification of not only key direct downstream effectors of AR but also their mode of regulation: unbiased pathway mapping revealed that AR is a key modulator of steroid metabolism by forming a tightly controlled feedback loop with other nuclear receptor family members. Furthermore, we found AR has an extensive role in negative gene regulation and estrogen (related) receptor likely mediates its function as a transcriptional repressor. In conclusion, our study provides a global and dynamic view of ARs regulatory program upon antagonism, which may serve as a molecular basis for deciphering and developing AR therapeutics.
Publication Title
Dose-dependent effects of small-molecule antagonists on the genomic landscape of androgen receptor binding.
Sample Metadata Fields
Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 10 Downloadable Samples
- Illumina HiSeq 2000
Description
To functionally characterize the role of miR-17 family in HCC, lentiviral vector-based miR inhibitor TuD was used to inhibit miR-17 family of microRNAs in HepG2 and SK-Hep1 HCC cell lines Overall design: Methods: HepG2 and SK-Hep1 HCC cell lines were acquired from American Type Culture Collection (ATCC) and miR-17 TuD or NC TuD expressing lines were generated. mRNA profiling of miR-17 TuD or NC TuD expressing samples was performed using Illumina NGS. Total RNA was extracted as per manufacturer’s instructions (RNeasy kit, Qiagen). RNA quality was assessed using BioAnalyzer (Agilent). mRNA expression profiles were determined using next-generation sequencing (NGS) on the Illumina HiSeq 2000 platform producing 50bp paired-end reads. Bowtie/TopHat suites were used to align the reads to mouse genome or transcriptome and RSEM were used to quantify gene abundances. Gene level counts were then normalized with the R/Bioconductor package limma using the voom/variance stabilization method.
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To functionally characterize the role of miR-17 family in HCC, lentiviral vector-based miR inhibitor TuD was used to inhibit miR-17 family of microRNAs in Hep3B cell line
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 6 Downloadable Samples
- Illumina Genome Analyzer II
Description
Saccharomyces cerevisiae cannot metabolize cellobiose in nature. Here, S. cerevisiae was engineered to achieve cellobiose utilization by introducing both a cellodextrin transporter gene (cdt-1) and an intracellular ß-glucosidase gene (gh1-1) from Neurospora crassa. We sequenced mRNA from anaerobic exponential cultures of engineered S. cerevisiae grown on cellobiose or glucose as a single carbon source in biological triplicate. Differences in gene expression between cellobiose and glucose metabolism revealed by RNA deep sequencing indicated that cellobiose metabolism induced mitochondrial activation and reduced amino acid biosynthesis under fermentation conditions. Overall design: mRNA levels in cellobiose-grown and glucose-grown cells of engineered cellobiose-utilizing Saccharomyces cerevisiae were examined by deep sequencing, in triplicate, using Illumina Genome Analyzer-II. We sequenced 3 samples from cellobiose-grown cells and 3 samples from glucose-grown cells and identified differential expressions in the cellobiose versus glucose fermentations by using mRNA levels of glucose-grown cells as a reference.
Publication Title
Leveraging transcription factors to speed cellobiose fermentation by Saccharomyces cerevisiae.
Sample Metadata Fields
Cell line, Subject
View Samples