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GSE49795
Homo sapiens
3 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Case story. A patient with massive infiltration of the visceral adipose tissue depot by BAT in a patient with a catecholamine secreting paraganglioma. BAT tissue was identified by protein expression of UCP1 (western blotting and immunostaining)
Publication Title
Chronic adrenergic stimulation induces brown adipose tissue differentiation in visceral adipose tissue.
Sample Metadata Fields
Specimen part
View Samples- Drosophila melanogaster
- 4 Downloadable Samples
Illumina HiSeq 2000
Description
The aim of this data set is to perform a differential expression analysis between wild type eye-antennal imaginal disc and discs that are homozygous glass mutant gl[60j]. This data set is used to validate Glass target gene predictions identified by i-cisTarget on a set of conserved eye-specific genes. Overall design: RNA-seq was performed in eye-antennal imaginal discs of two D.melanogaster wild-type strains (Canton S and strain RAL-208 (Jordan et al. 2007, Ayroles et al. 2009)), representing two biological replicates; and in glass mutant (gl[60j]) discs for two technical replicates.
Publication Title
Comparative motif discovery combined with comparative transcriptomics yields accurate targetome and enhancer predictions.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 2 Downloadable Samples
- IlluminaHiSeq2000
Description
Analysis of p53 binding sites using multiplex enhancer reporter assays, ChIP-seq data and RNA-seq data. Transcription factors establish and maintain the specific transcriptome of a cell by binding to genomic regulatory regions, thereby regulating the transcription of their target genes. Like many transcription factors, the DNA sequence-specific binding preferences of p53 are known. However, it remains largely unclear what distinguishes functional enhancers from other bound genomic regions that have no regulatory activity. In addition, the genome is scattered with seemingly perfect recognition sequences that remain unoccupied. To disentangle the rules of genome-wide p53 binding, we employed two complementary techniques of multiplex enhancer-reporter assays, one using barcoded reporters and the other using enhancer self-transcription. We compared the activity of more than one thousand candidate p53 enhancers under loss and gain of p53 conditions and identified several hundred high-confidence p53-responsive enhancers. Strikingly, the large majority (99%) of these target enhancers can be characterized and distinguished from negative sequences by the occurrence of a single p53 binding site. By training a machine learning classifier on these data, and integrating the resulting genome-wide predictions with fifteen publicly available human p53 ChIP-seq data sets, we identified a consensus set of 1148 functional p53 binding sites in the human genome. Unexpectedly, this direct p53 cistrome is invariably used between cell types and experimental conditions, while differences between experiments can be largely attributed to indirect non-functional binding. Our data suggest that direct p53 enhancers function in a context-independent manner and do not contain obvious combinatorial complexity of binding sites for multiple transcription factors. They represent a class of unsophisticated cell-autonomous enhancers with a single binding site, distinct from complex developmental enhancers that integrate signals from multiple transcription factors. This suggests that context-dependent regulation of p53 target genes is not encoded in the p53 enhancer, but at different upstream or downstream layers of the cell''s gene regulatory network. Overall design: RNA-seq on MCF7 cells with p53 stable knockdown.
Publication Title
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 72 Downloadable Samples
- Illumina HiSeq 2000
Description
Genome control is operated by transcription factors (TF) controlling their target genes by binding to promoters and enhancers. Conceptually, the interactions between TFs, their binding sites, and their functional targets are represented by gene regulatory networks (GRN). Deciphering in vivo GRNs underlying organ development in an unbiased genome-wide setting involves identifying both functional TF-gene interactions and physical TF-DNA interactions. To reverse-engineer the GRN of eye development in Drosophila, we performed RNA-seq across 72 genetic perturbations and sorted cell types, and inferred a co-expression network. Next, we derived direct TF-DNA interactions using computational motif inference, ultimately connecting 241 TFs to 5632 direct target genes through 24926 enhancers. Using this network we found network motifs, cis-regulatory codes, and new regulators of eye development. We validate the predicted target regions of Grainyhead by ChIP-seq and identify this factor as a general co-factor in the eye network, being bound to thousands of nucleosome-free regions. Overall design: RNA-seq gene expression profiling across Drosophila 3rd instar larval wild type tissues (brain, eye-antennal and wing discs), specific cell types from the eye-antennal disc, sorted by FACS, and genetic perturbations (TF mutants, TF over-expression, and TF RNAi knockdown).
Publication Title
Mapping gene regulatory networks in Drosophila eye development by large-scale transcriptome perturbations and motif inference.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 53 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate the ability of the GGI to predict relapses in postmenopausal women who were treated with tamoxifen (T) or letrozole (L) within the BIG 1-98 trial.
Publication Title
The Gene expression Grade Index: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial.
Sample Metadata Fields
Age, Specimen part, Disease stage, Treatment
View Samples- Homo sapiens
- 116 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Lymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. (Affymetrix Human U133 Plus 2.0 microarray chips). A model, including 241 genes was built and validated on an internal and external dataset performed with Affymetrix technology. All samples used for validation had the same characteristics as the initial tumors. The area under the ROC curve (AUC) for the internal dataset was 0.646 and 0.651 for the external datasets. Thus, the molecular profile of a breast tumor reveals information about lymph node involvement, even in a homogeneous group of tumors. However, an AUC of 0.65 indicates only a weak correlation. Our model includes multiple kinases, apoptosis related and zinc ion binding genes. Pathway analysis using the Molecular Signatures Database revealed relevant gene sets (BAF57, Van 't Veer). Next, miRNA profiling was performed on 82/96 tumors using Human MiRNA microarray chips (Illumina). Eight miRNAs were significantly differentially expressed according to lymph node status at a significance level of 0.05, without correcting for multiple testing. The analysis of the inverse correlation between a miRNA and its computationally predicted targets point to general deregulation of the miRNA machinery potentially responsible for lymph node invasion. In conclusion, our results provide evidence that lymph node involvement in breast cancer is not a random process.
Publication Title
Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.
Sample Metadata Fields
Disease, Disease stage
View Samples- Homo sapiens
- 4 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA-seq and ChIP-seq on MCF-7 breast cancer cell line upon activation of p53 by the non-genotoxic small molecule Nutlin-3a Overall design: RNA-seq on MCF7 without (NS) or with Nutlin-3a stimulation (S), in duplicate, using illumina HiSeq 2000
Publication Title
iRegulon: from a gene list to a gene regulatory network using large motif and track collections.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Arabidopsis thaliana
- 32 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
The edr1 mutant of Arabidopsis thaliana displays enhanced resistance to the powdery mildew Golovinomyces cichoracearum, resulting in cell death and an absence of visible disease symptoms. To better characterize and understand the defense response of edr1, a time course of early signaling responses was performed after inoculation with powdery mildew and compared to the responses of wild-type Col-0. These time points represent early stages in the infection process, before any signs of susceptibility or resistance are visible.
Publication Title
Negative regulation of defence signalling pathways by the EDR1 protein kinase.
Sample Metadata Fields
No sample metadata fields
View Samples- Zea mays
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
Background: Maize plants developed typical gray leaf spot disease (GLS) symptoms initiating at the lower leaves and progressing to upper leaves through the season. Leaf material was collected at 77 days after planting, at which stage there were a large number of GLS disease necrotic lesions on lower leaves (8% surface area on average determined by digital image analysis), but very few lesions and only at chlorotic stage on leaves above the ear (average of 0.2% lesion surface area). Method:To collect material that reflected a difference between C.zeina infected B73 leaves and control B73 leaf material, samples were collected from two lower GLS infected leaves (second and third leaf internode below ear) , and two upper leaves with minimal GLS symptoms (second and third internode above ear), respectively. The two lower leaves from each plant were pooled prior to RNA extraction, and the two upper leaves from each plant were pooled prior to RNA extraction. Upper and lower leaf samples from three maize B73 plants were subjected to RNA sequencing individually. The three maize plants were selected randomly as one plant per row from three rows of ten B73 plants each. Result: A systems genetics strategy revealed regions on the maize genome underlying co-expression of genes in susceptible and resistance responses, including a set of 100 genes common to the susceptible response of sub-tropical and temperate maize. Overall design: To collect material that reflected a difference between C.zeina infected B73 leaves and control B73 leaf material, samples were collected from two lower GLS infected leaves (second and third leaf internode below ear) , and two upper leaves with minimal GLS symptoms (second and third internode above ear), respectively. The two lower leaves from each plant were pooled prior to RNA extraction, and the two upper leaves from each plant were pooled prior to RNA extraction. Upper and lower leaf samples from three maize B73 plants were subjected to RNA sequencing individually. The three maize plants were selected randomly as one plant per row from three rows of ten B73 plants each.
Publication Title
Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem.
Sample Metadata Fields
Subject
View Samples- Arabidopsis thaliana
- 17 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Global gene expression was compared between Arabidopsis lines with altered expression of ANAC102 (over-expressed and knocked-out) and wild-type. ANAC102 is a putative NAC domain transcription factor. Gene expression was compared between an ANAC102 over-expressing line and parental ecotype C24 under ambient atmosphere to determine which genes ANAC102 is capable of regulating. Gene expression was also compared between three week old plants of an ANAC102 knock-out line and parental ecotype Col-0 under 0.1% Oxygen and ambient atmosphere conditions to determine which genes may require ANAC102 for appropriate expression under these conditions. Gene expression was also compared between imbibed seeds of an ANAC102 knock-out line and parental ecotype Col-0 following a 0.1% Oxygen treatment.
Publication Title
The low-oxygen-induced NAC domain transcription factor ANAC102 affects viability of Arabidopsis seeds following low-oxygen treatment.
Sample Metadata Fields
No sample metadata fields
View Samples