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accession-icon GSE3962
Mouse oocyte and one-cell embryo polysomal mRNA
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptional activation in mammalian embryos occurs in a stepwise manner. In mice, it begins at the late one-cell stage, followed by a minor wave of activation at the early two-cell stage, and then the major genome activation (MGA) at the late two-cell stage. Cellular homeostasis, metabolism, cell cycle, and developmental events are orchestrated before MGA by time-dependent changes in the array of maternal transcripts being translated (i.e., the translatome). Despite the importance of maternal mRNA and its correct recruitment for development, neither the array of recruited mRNA nor the regulatory mechanisms operating have been well cheracterized. We present the first comprehensive analysis of changes in the maternal component of the zygotic translatome during the transition from oocyte to late one-cell stage embryo, revealing global transitions in the functional classes of translated maternal mRNAs, and apparent changes in the underlying cis-regulatory mechanisms.

Publication Title

Analysis of polysomal mRNA populations of mouse oocytes and zygotes: dynamic changes in maternal mRNA utilization and function.

Sample Metadata Fields

No sample metadata fields

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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 SRP056819
Molecular anatomy of palate development
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: The FACEBASE consortium was established in part to create a central resource for craniofacial researchers. One purpose is to provide a molecular anatomy of craniofacial development. To this end we have used a combination of laser capture microdissection and RNA-Seq to define the gene expression programs driving development of the murine palate. Results: We focused on the E14.5 palate, soon after medial fusion of the two palatal shelves. The palate was divided into multiple compartments, including medial and lateral, as well as oral and nasal, for both the anterior and posterior domains. A total of 25 RNA-Seq datasets were generated. The results provide a comprehensive view of the region specific expression of all transcription factors, growth factors and receptors. Paracrine interactions can be inferred from flanking compartment growth factor/receptor expression patterns. The results are validated primarily through very high concordance with extensive previously published gene expression data for the developing palate. In addition selected immunostain validations were carried out. Conclusions: This report provides an RNA-Seq based atlas of gene expression patterns driving palate development at microanatomic resolution. This FACEBASE resource is designed to fuel discovery by the craniofacial research community. Overall design: Laser capture microdissection and RNA-seq were used to generate gene expression profiles of different compartments of the mouse E14.5 developing palate

Publication Title

Molecular Anatomy of Palate Development.

Sample Metadata Fields

No sample metadata fields

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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 SRP098646
The use of cold active proteases can dramatically reduce single cell RNA-seq gene expression artifacts
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell RNA-seq is a powerful methodology, but with important limitations. In particular, the process of enzymatic separation of cells at 37O C can be expected to result in artifact changes in gene expression patterns. We here describe a dissociation method that uses protease from a psychrophilic microorganism with high activity in the cold. The entire procedure is carried out at 6O C or colder, where mammalian transcriptional machinery is largely inactive. To test this method we carry out single cell RNA-seq on about 9,000 cells, comparing the results of the cold method with a method using 37O C incubations for multiple times. We show that the cold active protease method results in a great reduction in gene expression artifacts. Overall design: Whole mouse post natal day 1 kidney cells were dissassociated by either a cold active protease or an enzyme cocktail for varying lengths of time. The gene expression profiles of the four groups of cells were determined by drop-seq / RNA-seq.

Publication Title

Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development.

Sample Metadata Fields

Subject

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accession-icon SRP171634
Gene Expression Changes in Major Cell Types of the Glomerulus in a Mouse Model of Focal Segmental Glomerulosclerosis
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We characterize the gene expression changes which occur in the mouse glomerular podocyte, mesangial, and endothelial cells between control mice and mutant mice which are missing two copies of Fyn-proto oncogene (Fyn) and one copy of CD2-associated protein (CD2AP) in a mouse model of FSGS. Overall design: The glomeruli are purified by digestion with Collagenase A and sieving, a single cell suspension is generated via enzymatic dissociation; the single cell suspension is then FACS sorted based on GFP-fluorescence (targeting the glomerular endothelial, mesangial, and podocyte cells). Total RNA was purified using a column-based system. RNA was then quantitatively and qualitatively analyzed using an agilent bioanalynzer, cDNA libraries were generated using Nugen Ovation RNA-Seq V2, and the resulting libraries were ran on an Illumina HiSeq 2500. Data was analyzed using Strand NGS version 2.6.

Publication Title

A bigenic mouse model of FSGS reveals perturbed pathways in podocytes, mesangial cells and endothelial cells.

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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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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