Phenotypes representative of normal, transformed and experimentally manipulated human B cells related to the germinal center structure.
Reverse engineering of regulatory networks in human B cells.
Specimen part
View SamplesChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs.
ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes.
No sample metadata fields
View SamplesTo evaluate gene expression in human peripheral blood derived monocytes over the course of an LPS stimulation time-series.
Statistical analysis of MPSS measurements: application to the study of LPS-activated macrophage gene expression.
No sample metadata fields
View SamplesThis dataset encompassing the profiles of 150 lung cancer tumors was developed to serve as test dataset in the SBV IMPROVER Diagnostic Signature Challenge (sbvimprover.com). The aim of this subchallenge was to verify that it is possible to extract a robust diagnostic signature from gene expression data that can identify stages of different types of lung cancer. Participants were asked to develop and submit a classifier that can stratify lung cancer patients in one of four groups Stage 1 of Adenocarcinoma (AC Stage 1), Stage 2 of Adenocarcinoma (AC Stage 2), Stage 1 of Squamous cell carcinoma (SCC Stage 1) or Stage 2 of Squamous cell carcinoma (SCC Stage 2). The classifier could be built by using any publicly available gene expression data with related histopathological information and was tested on the independent dataset described here.
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
Sex, Specimen part, Disease stage, Race
View SamplesAnalysis of Diffuse Large B-Cell Lymphoma (DLBCL) OCI-LY3 cell line treated with 14 different known drugs at 2 different concentrations and profiled at 6, 12 and 24 hrs after treatment.
A community computational challenge to predict the activity of pairs of compounds.
Compound, Time
View SamplesmiRNA-1343 is an uncharacterized miRNA predicted to target a number of genes involved in epithelial cell function including TGF-beta signaling, cell adhesion, and cell proliferation. We transiently overexpressed miRNA-1343 or a non-targeting control miRNA in A549 and 16HBE14o- human airway cell lines. As predicted, RNA-seq following miRNA-1343 overexpression showed significant downregulation of genes involved in these pathways. Furthermore, genes involved in cholesterol and lipid biosynthesis were found to be significantly upregulated by miRNA-1343 overexpression. Overall design: mRNA profiles from A549 and 16HBE14o- cells transiently transfected with miRNA-1343 or a negative control (NC) miRNA, in quintuplicate.
miR-1343 attenuates pathways of fibrosis by targeting the TGF-β receptors.
No sample metadata fields
View SamplesARC (NSC 188491, SMA-491), 4-amino-6-hydrazino-7-beta-d-ribofuranosyl-7H-pyrrolo-(2,3-d)-pyrimidine-5-carboxamide, is a nucleoside analog with profound in vitro anti-cancer activity. First identified in a high-throughput screen for inhibitors of p21 mRNA expression, subsequent experiments showed that ARC also repressed expression of hdm2 and survivin, leading to its classification as a global inhibitor of transcription 1. The following Hu U133 plus 2.0 arrays represent single time point (24 hour) gene expression analysis of transcripts altered by ARC treatment. Arrays for the other compounds (sangivamycin and doxorubicin) are included as comparators.
ARC (NSC 188491) has identical activity to Sangivamycin (NSC 65346) including inhibition of both P-TEFb and PKC.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.
No sample metadata fields
View SamplesPurpose: The goal of this study is to compare the differential expression of transcripts in control kidneys compared to kidneys lacking the miR-17~92 cluster in nephron progenitors and their derivatives by RNA-seq to identify potential miRNA targets in the mutant kidneys. Overall design: mRNA profiles of control and mutant (=Six2-TGC; miR-17~92 flx/flx) embryonic day 16 kidneys were generated by deep sequencing, in triplicate, using Illumina HiSeq2000
MicroRNA-17~92 is required for nephrogenesis and renal function.
No sample metadata fields
View SamplesCLK targets from fly heads using the TIM-GAL4; UAS-CLKGR line
Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.
No sample metadata fields
View Samples