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accession-icon GSE10760
Effect of facioscapulohumeral dystrophy (FSHD) on skeletal muscle gene expression
  • organism-icon Homo sapiens
  • sample-icon 196 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Muscle biopsies taken from vastus lateralis muscle of 30 normal subjects and 19 FSHD subjects (see PubMed ID 17151338)

Publication Title

Expression profile of FSHD supports a link between retinal vasculopathy and muscular dystrophy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1071
Expression profiling of plants overexpressing transcription factor WIN1
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis Genome Array (ag)

Description

T2 progenies of two transgenic lines overexpressing ERF transcription factor WIN1 were grown on soil in parallel under identical conditions. mRNA was extracted from pooled leaves from multiple plants of each line for the microarray experiement.

Publication Title

WIN1, a transcriptional activator of epidermal wax accumulation in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP070155
Single-cell transcriptomes of each cell of the C. elegans embryo until the 16-cell stage
  • organism-icon Caenorhabditis elegans
  • sample-icon 217 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

A prevalent hypothesis for the cell-to-cell coordination of the phenomena of early development is that a defined mixture of different mRNA species at specific abundances in each cell determines fate and behavior. With this dataset we explore this hypothesis by quantifying the abundance of every mRNA species in every individual cell of the early C. elegans embryo, for which the exact life history and fate is precisely documented. Overall design: Embryos of the 1-, 2-, 4-, 8- and 16-cell stage were dissected into complete sets of single cells, and each cell from each set was sequenced individually using SMARTer technology. 5-9 replicates were generated for each stage. Most cell identities were unknown upon sequencing, but were deduced from by their transcriptomes post hoc.

Publication Title

A Transcriptional Lineage of the Early C. elegans Embryo.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE28084
Genome-wide Localization of SREBP-2 in Hepatic Chromatin Predicts a Novel Role in Autophagy
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide localization of SREBP-2 in hepatic chromatin predicts a role in autophagy.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE28083
Expression data from CH/LE Mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We are using genome-wide ChIP-seq with isoform-specific antibodies and chromatin from select tissues of mice challenged with different dietary conditions that enrich for specific SREBPs.

Publication Title

Genome-wide localization of SREBP-2 in hepatic chromatin predicts a role in autophagy.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP045110
Blastomere-specific transcriptome sequencing reveals a determinant of anterior specification in C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Illumina HiSeq 2000

Description

We sequenced amplified mRNA from 20 pooled AB and 20 pooled P1 blastomeres hand isolated from 2-cell stage C. elegans embryos three replicates each. Overall design: Transcriptome profiles of each blastomere at the 2-cell stage of the C. elegans early embryo.

Publication Title

Asymmetric transcript discovery by RNA-seq in C. elegans blastomeres identifies neg-1, a gene important for anterior morphogenesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE14691
Transcriptional and post-transcriptional impact of toxic RNA in myotonic dystrophy
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Myotonic dystrophy type 1 (DM1) is an RNA dominant disease in which mutant transcripts containing an expanded CUG repeat (CUGexp) cause muscle dysfunction by interfering with biogenesis of other mRNAs. The toxic effects of mutant RNA are mediated partly through sequestration of splicing regulator Muscleblind-like 1 (Mbnl1), a protein that binds to CUGexp RNA. A gene that is prominently affected encodes chloride channel 1 (Clcn1), resulting in hyperexcitability of muscle (myotonia). To identify DM1-affected genes and study mechanisms for dysregulation, we performed global mRNA profiling in transgenic mice that express CUGexp RNA, as compared to Mbnl1 knockout and Clcn1 null mice. We found that the majority of changes induced by CUGexp RNA in skeletal muscle can be explained by reduced activity of Mbnl1, including many changes that are secondary to myotonia. The pathway most affected comprises genes involved in calcium signaling and homeostasis. Some effects of CUGexp RNA on gene expression are caused by abnormal alternative splicing or downregulation of Mbnl1-interacting mRNAs. However, several of the most highly dysregulated genes showed altered transcription, as indicated by parallel changes of the corresponding premRNAs. These results support the idea that trans-dominant effects of CUGexp RNA on gene expression in this transgenic model may occur at the level of transcription, RNA processing, and mRNA decay, and are mediated mainly but not entirely through sequestration of Mbnl1.

Publication Title

Transcriptional and post-transcriptional impact of toxic RNA in myotonic dystrophy.

Sample Metadata Fields

Sex, Age

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accession-icon GSE28037
Gene expression data from WT and SREBP-1a deficient macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene expression from bone-marrow drived macrophages of WT and SREBP-1a deficient mice

Publication Title

Linking lipid metabolism to the innate immune response in macrophages through sterol regulatory element binding protein-1a.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7561
Expression data from IGF-I-stimulated MCF-7 cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Substantial evidence implicates IGF-I signaling in the development and progression of breast cancer. To identify transcriptional targets of IGF action in breast cancer cells, we performed gene expression profiling (>22,000 RNA transcripts) of IGF-I-stimulated MCF-7 cells, a well characterized breast cancer cell line that is highly responsive to IGFs. We defined an IGF-I gene signature pattern of hundreds of genes either up-regulated or down-regulated at both 3 and 24 hrs in vitro. After removing genes considered generic to cell proliferation, the signature was examined in four different public profile datasets of clinical breast tumors (representing close to 1000 patients), as well as in profile datasets of experimental models for various oncogenic signaling pathways. Genes with early and sustained regulation by IGF-I were highly enriched for transcriptional targets of the estrogen, Ras, and PI3K/Akt/mTOR pathways. The IGF-I signature appeared activated in most estrogen receptor-negative (ER-) clinical breast tumors and in a substantial subset (~25%) of ER+ breast tumors. Patients with tumors showing activation of the IGF-I signature tended to have a shorter time to disease recurrence (including patients not receiving adjuvant therapy), both when considering all patients and the subset of ER+ patients. We found evidence for cross-talk and common transcriptional endpoints between the IGF-I and estrogen systems. Our results support the idea that the IGF-I pathway is one mechanism by which breast tumors may acquire hormone independence and a more aggressive phenotype.

Publication Title

Insulin-like growth factor-I activates gene transcription programs strongly associated with poor breast cancer prognosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8141
Expression data from MCF7 wt and MCF7/HER2-18 xenografts
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate molecular mechanisms of resistance, we used two different in vivo xenograft models of estrogen receptor-positive (ER+) breast cancer, with or without HER2 over-expression (MCF7/HER2-18 and MCF7 wt, respectively). Mice with established tumors were assigned to the following treatment groups: continued estrogen supplementation (E2), estrogen deprivation (ED), ED plus tamoxifen (Tam), all with or without the EGFR tyrosine kinase inhibitor gefinitinib (G). Another group received ED plus the antiestrogen fulvestrant (MCF7 wt only). Tumors with acquired or de novo resistance to these endocrine therapies were profiled for mRNA expression using Affymetrix Genechip arrays.

Publication Title

Development of resistance to targeted therapies transforms the clinically associated molecular profile subtype of breast tumor xenografts.

Sample Metadata Fields

No sample metadata fields

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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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