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accession-icon SRP061607
An ectopic network of transcription factors regulated by Hippo signaling drives growth and invasion of a malignant tumor model [larval wild type discs]
  • organism-icon Drosophila melanogaster
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cancer cells have abnormal gene expression profiles, however, the transcription factors and the architecture of the regulatory network that drive cancer specific gene expression is often not known. Here we studied a model of Ras-driven invasive tumorigenesis in Drosophila epithelial tissues and combined in vivo genetics with high-throughput sequencing and computational modeling to decipher the regulatory logic of tumor cells. Surprisingly, we discovered that the bulk of the tumor specific gene expression is driven by an ectopic network of a few transcription factors that are overexpressed and/or hyperactivated in tumor cells. These factors are Stat, AP-1, the bHLH proteins Myc and AP-4, the nuclear hormone receptor Ftz-f1, the nuclear receptor coactivator Taiman/AIB1, and Mef2. Notably, many of these transcription factors are also hyperactivated in human tumors. Bioinformatics analysis predicted that these factors directly regulate the majority of the tumor specific gene expression, that they are interconnected by extensive cross-regulation, and that they show a high degree of co-regulation of target genes. Indeed, the factors of this network were required in multiple epithelia for tumor growth and invasiveness and knock-down of individual factors caused a reversion of the tumor specific expression profile, but had no observable effect on normal tissues. We further found that the Hippo pathway effector Yki/Sd was strongly activated in tumor cells and initiated cellular reprogramming by activating several transcription factors of this network. Thus, modeling regulatory networks identified an ectopic yet highly ordered network of master regulators that control tumor cell specific gene expression. Overall design: RNA-seq gene expression profiling across Drosophila 3rd instar larval wild type wing discs and genetic perturbations of wts.

Publication Title

An Ectopic Network of Transcription Factors Regulated by Hippo Signaling Drives Growth and Invasion of a Malignant Tumor Model.

Sample Metadata Fields

Subject, Time

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accession-icon SRP014636
RNA-seq in wild-type and glass mutant eye-antennal discs in Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE67904
Transcriptomic analyses of duodenum from wild type and VDR-null mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

As duodenum is an important Vitamin D target organ, transcriptomic analyses were performed in this tissue.

Publication Title

A vitamin D receptor selectively activated by gemini analogs reveals ligand dependent and independent effects.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP044038
Mapping gene regulatory networks in Drosophila eye development by large-scale transcriptome perturbations and motif inference. [RNA-seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE1611
Transcriptome of Ts1Cje and euploids cerebellum
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Transcriptome analysis of Ts1Cje (mouse model of Down syndrome) and euploids murine cerebellum during postnatal development

Publication Title

The cerebellar transcriptome during postnatal development of the Ts1Cje mouse, a segmental trisomy model for Down syndrome.

Sample Metadata Fields

Specimen part

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accession-icon SRP201917
Bcl6 neurogenic activity in in vitro cortical progenitors [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Transcriptome analysis following Bcl6 induction (24h doxycycline) in mouse ES-cell-derived cortical progenitors (differentiation day 12) shows that Bcl6 promotes a neurogenic transcription program and represses selective genes of the main proliferative pathways. Overall design: RNA-seq screen for Bcl6-elicited gene expression changes in in vitro cortical progenitors (n=4)

Publication Title

Cortical Neurogenesis Requires Bcl6-Mediated Transcriptional Repression of Multiple Self-Renewal-Promoting Extrinsic Pathways.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE34459
Molecular Signatures of cardiac defects in Down syndrome lymphoblastoid cell lines
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular signatures of cardiac defects in Down syndrome lymphoblastoid cell lines suggest altered ciliome and Hedgehog pathways.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE34457
Molecular Signatures of cardiac defects in Down syndrome lymphoblastoid cell lines (congenital heart disease)
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Molecular Signatures of cardiac defects in Down syndrome lymphoblastoid cell lines. In this study, we want to identify genes and pathways specifically dysregulated in atrioventricular septal defect and /or atrial septal defect + ventricular septal defect in case of trisomy 21.

Publication Title

Molecular signatures of cardiac defects in Down syndrome lymphoblastoid cell lines suggest altered ciliome and Hedgehog pathways.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE34458
Molecular Signatures of cardiac defects in Down syndrome lymphoblastoid cell lines (trisomy 21)
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Molecular consequences of trisomy in lymphoblastoid cell lines from patients with Down syndrome. This project analyses differentially expressed genes between humans with trisomy 21 and humans without trisomy 21.

Publication Title

Molecular signatures of cardiac defects in Down syndrome lymphoblastoid cell lines suggest altered ciliome and Hedgehog pathways.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP022871
Discovery of the p53 targetome in MCF7 cells from RNA-seq data
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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