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accession-icon GSE80509
Identification of TWIST1 transcriptional targets in the cranial mesoderm [E9_5]
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

TWIST1, a basic helix-loop-helix transcription factor is essential for the development of cranial mesoderm and cranial neural crest-derived craniofacial structures. Our previous work showed that, in the absence of TWIST1, some cells within the cranial mesoderm adopt an abnormal epithelial configuration. Here, we show by transcriptome analysis that loss of TWIST1 in the cranial mesoderm is accompanied by a reduction in the expression of genes that are associated with cell-extracellular matrix interactions and the acquisition of mesenchymal characteristics. By comparing the transcriptional profiles of cranial mesoderm-specific Twist1 loss-of-function mutant and control mouse embryos, we identified a set of genes that are both TWIST1-dependent and predominantly expressed in the mesoderm. By ChIP-seq in a cell line model of a TWIST1-dependent mesenchymal state, we identified, among the downstream genes, three direct transcriptional targets of TWIST1: Ddr2, Pcolce and Tgfbi. Our findings show that the mesenchymal properties of the cranial mesoderm is likely to be regulated by a network of TWIST1 targets genes that influence the extracellular matrix and cell-matrix interactions, and collectively they are required for the morphogenesis of the craniofacial structures.

Publication Title

Transcriptional targets of TWIST1 in the cranial mesoderm regulate cell-matrix interactions and mesenchyme maintenance.

Sample Metadata Fields

Specimen part

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accession-icon GSE80334
Identification of TWIST1 transcriptional targets in the cranial mesoderm [E8_5]
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

TWIST1, a basic helix-loop-helix transcription factor is essential for the development of cranial mesoderm and cranial neural crest-derived craniofacial structures. Our previous work showed that, in the absence of TWIST1, some cells within the cranial mesoderm adopt an abnormal epithelial configuration. Here, we show by transcriptome analysis that loss of TWIST1 in the cranial mesoderm is accompanied by a reduction in the expression of genes that are associated with cell-extracellular matrix interactions and the acquisition of mesenchymal characteristics. By comparing the transcriptional profiles of cranial mesoderm-specific Twist1 loss-of-function mutant and control mouse embryos, we identified a set of genes that are both TWIST1-dependent and predominantly expressed in the mesoderm. By ChIP-seq in a cell line model of a TWIST1-dependent mesenchymal state, we identified, among the downstream genes, three direct transcriptional targets of TWIST1: Ddr2, Pcolce and Tgfbi. Our findings show that the mesenchymal properties of the cranial mesoderm is likely to be regulated by a network of TWIST1 targets genes that influence the extracellular matrix and cell-matrix interactions, and collectively they are required for the morphogenesis of the craniofacial structures.

Publication Title

Transcriptional targets of TWIST1 in the cranial mesoderm regulate cell-matrix interactions and mesenchyme maintenance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE80335
Identification of TWIST1 transcriptoinal targets in the cranial mesoderm [WNT1 vs. MESP1]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

TWIST1, a basic helix-loop-helix transcription factor is essential for the development of cranial mesoderm and cranial neural crest-derived craniofacial structures. Our previous work showed that, in the absence of TWIST1, some cells within the cranial mesoderm adopt an abnormal epithelial configuration. Here, we show by transcriptome analysis that loss of TWIST1 in the cranial mesoderm is accompanied by a reduction in the expression of genes that are associated with cell-extracellular matrix interactions and the acquisition of mesenchymal characteristics. By comparing the transcriptional profiles of cranial mesoderm-specific Twist1 loss-of-function mutant and control mouse embryos, we identified a set of genes that are both TWIST1-dependent and predominantly expressed in the mesoderm. By ChIP-seq in a cell line model of a TWIST1-dependent mesenchymal state, we identified, among the downstream genes, three direct transcriptional targets of TWIST1: Ddr2, Pcolce and Tgfbi. Our findings show that the mesenchymal properties of the cranial mesoderm is likely to be regulated by a network of TWIST1 targets genes that influence the extracellular matrix and cell-matrix interactions, and collectively they are required for the morphogenesis of the craniofacial structures.

Publication Title

Transcriptional targets of TWIST1 in the cranial mesoderm regulate cell-matrix interactions and mesenchyme maintenance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE80663
Identification of TWIST1 transcriptional targets in the cranial mesoderm
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional targets of TWIST1 in the cranial mesoderm regulate cell-matrix interactions and mesenchyme maintenance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP049377
RNA-Seq data for five HER2 over-expressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: The goal was to capture the transcriptional activity due to over-expression of HER2 protein. We profiled this transcriptional activity using two different RNA-Seq alignment and quantification pipelines. We also used these samples to generate a gene expression signature of HER2 pathway activity. Over-expression was validated using Western blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in FPKM and TPM . Overall design: A profile of gene expression, downstream of ERBB2/HER2 over-expression, was generated in cells derived from breast and used to generate a gene-expression signature reflective of HER2 pathway activation status.

Publication Title

Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas leads to improved analysis results.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7897
Expression data from Mouse Lymphoma
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We have made use of the E-myc transgenic mouse, a model for the study of B-cell lymphoma development that is initiated through a defined genetic alteration, to explore the contributions of additional somatic alterations that contribute to the heterogeneity of the resulting tumors. As one example of such heterogeneity, we have focused on the observation that lymphomas develop in E-myc mice with a variable time of onset. Twenty-five early-onset, 25 late-onset lymphomas and 10 normal samples were each assayed on an Affymetrix Mouse Genome 430 2.0 array.

Publication Title

Utilization of pathway signatures to reveal distinct types of B lymphoma in the Emicro-myc model and human diffuse large B-cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37058
Tobacco smoke exposure-related pathway gene expression signature in the bronchial airway epithelium
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: Brainarray Version 11.0.1, HuEx10stv2_Hs_ENTREZG (huex10st), Affymetrix Human Human Exon 1.0 ST Array (huex10st)

Description

Using primary human bronchial epithelial cells collected at bronchoscopy, we have perturbed signaling pathways important in regulation of response to tobacco smoke exposure and cancer development: ATM, BCL2, GPX1, NOS2, IKBKB, and SIRT1

Publication Title

SIRT1 pathway dysregulation in the smoke-exposed airway epithelium and lung tumor tissue.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP044854
EGFR and MEK pathway signature RNA-Seq datasets
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

EGFR and MEK pathways were activated alone or in combination in human mammary epithelial cells. We profiled the pathway gene expression signatures using RNA-Seq. Overall design: mRNA was extracted from human mammary epithelial cells overexpressing EGFR gene, MEK gene, or EGFR and MEK genes in combination (or GFP control) for RNA-Seq analysis. Experiment was performed in six replicates per condition.

Publication Title

ASSIGN: context-specific genomic profiling of multiple heterogeneous biological pathways.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP076235
RNA-Seq data for AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) overexpressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal was to capture the transcriptional activity due to over-expression of AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) genes .Overexpressions were validated using Western Blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in TPM . Overall design: Profiles of gene expression, downstream of AKT, BAD, ERBB2, IGF1R, RAF1 and KRAS(G12V) over-expression, were generated in cells derived from breast and used to generate a gene-expression signatures.

Publication Title

Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE14934
Gene expression profiles of Ras mutants.
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression profiles were collected from HEK-HT cells expressing H-Ras with Ras-activating (G12V), Raf-activating (G12V,T35S), RalGEF-activating (G12V,E37G), or PI3K-activating (G12V,Y40C) mutations.

Publication Title

A genomic strategy to elucidate modules of oncogenic pathway signaling networks.

Sample Metadata Fields

Specimen part

View Samples
...

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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