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accession-icon SRP002126
Human variation in PolII and NF-KappaB binding (RNA-seq study uninduced by TNF-alpha)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

We examined genome-wide variation in transcription factor binding in different individuals and a chimpanzee using chromatin immunoprecipitation followed by massively-parallel sequencing (ChIP-Seq). The binding sites of RNA Polymerase II (Pol II) as well as a key regulator of immune responses, NFkB, were mapped in ten HapMap lymphoblastoid cell lines derived from individuals of African, European, and Asian ancestry, including a parent-offspring trio. We also mapped gene expression in all ten human cell lines for two treatment conditions: a) no treatment and b) following induction by TNF-alpha. Overall design: Genome-wide comparison of Pol II and NF-KappaB binding in ten individuals. RNA-seq study with no treatment.

Publication Title

Variation in transcription factor binding among humans.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP002128
Human variation in PolII and NF-KappaB binding (RNA-seq study with TNF-alpha induced)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

We examined genome-wide variation in transcription factor binding in different individuals and a chimpanzee using chromatin immunoprecipitation followed by massively-parallel sequencing (ChIP-Seq). The binding sites of RNA Polymerase II (Pol II) as well as a key regulator of immune responses, NFkB, were mapped in ten HapMap lymphoblastoid cell lines derived from individuals of African, European, and Asian ancestry, including a parent-offspring trio. We also mapped gene expression in all ten human cell lines for two treatment conditions: a) no treatment and b) following induction by TNF-alpha. Overall design: Genome-wide comparison of Pol II and NF-KappaB binding in ten individuals. RNA-seq study with TNF-alpha treatment.

Publication Title

Variation in transcription factor binding among humans.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP008976
Personal Omics Profiling Reveals Dynamic Molecular Phenotypes and Actionable Medical Risks
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina Genome Analyzer

Description

We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Overall design: Examination of blood component in 20 different time points over 1.5 years which includes 2 disease state and 18 healty state Related exome studies at: SRX083314 SRX083313 SRX083312 SRX083311

Publication Title

Personal omics profiling reveals dynamic molecular and medical phenotypes.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE53335
Regulation of inducible genes in epithelial to mesenchymal transition by chromatinized PKC-theta
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53266
Gene expression changes in a breast cancer stem cell model.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Epithelial to mesenchymal transition (EMT) is activated during cancer invasion and metastasis, enriches for cancer stem cells (CSCs), and contributes to therapeutic resistance and disease recurrence. The epithelial cell line MCF7, can be induced to undergo EMT with the induction of PKC by PMA. 5-10% of the resulting cells have a CSC phenotype. This study looks at the transcriptome of these cells and how it differs from cells with a non-CSC phenotype.

Publication Title

Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon SRP075283
Development and differentiation of early innate lymphoid progenitors
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Early innate lymphoid progenitors (EILP) have recently been identified in the mouse adult bone marrow as a multipotential progenitor population committed to ILC lineages, but their relationship with other described ILC progenitors is still unclear. In this study, we examine the progenitor-successor relationships between EILP, IL-7R+ common lymphoid progenitors (ALP), and ILC precursors (ILCp). Bioinformatic, phenotypical, functional, and genetic approaches collectively establish EILP as an intermediate progenitor between ALP and ILCp. Our work additionally provides new candidate regulators of ILC development and clearly defines the stage of requirement of transcription factors key for early ILC development. Overall design: transcriptional profiling of early ILC progenitors (EILP, ILCp), and common lymphoid progenitors (ALP) was performed by RNA sequencing

Publication Title

Development and differentiation of early innate lymphoid progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45346
Estrogen inhibits lipid content in liver exclusively from membrane receptor signaling
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Membrane estrogen receptor (ER) alpha stimulates AMP kinase to suppress SREBP1 processing and lipids in liver

Publication Title

Estrogen reduces lipid content in the liver exclusively from membrane receptor signaling.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE50431
Gene expression profiling of normal mouse hepatocyte, premalignant hepatocytes and fully malignant HCC
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Gene expression was analyzed and compared of normal mouse hepatocyte, premalignant hepatocytes and fully malignant HCC cells. The results provide valuable information about the gene expression alterations during the chronic process of liver cancer development.

Publication Title

Identification of liver cancer progenitors whose malignant progression depends on autocrine IL-6 signaling.

Sample Metadata Fields

Specimen part

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accession-icon GSE9819
Comparisons of Affymetrix Whole-Transcript Human Gene 1.0 ST array with standard 3' expression arrays
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The recently released Affymetrix Human Gene 1.0 ST array has two major differences compared with standard 3' based arrays: (1) it interrogates the entire mRNA transcript, and (2) it uses cDNA targets. To assess the impact of these differences on array performance, we performed series of comparative hybridizations between the Human Gene 1.0 ST and the Affymetrix HG-U133 Plus 2.0 and the Illumina HumanRef-8 BeadChip arrays. Additionally, both cRNA and cDNA targets were probed on the HG-U133 Plus 2.0 array. The results show that the overall reproducibility is best using the Gene 1.0 ST array. When looking only at the high intensity probes, the reproducibility of the Gene 1.0 ST array and the Illumina BeadChip array is equally good. Concordance of array results was assessed using different inter-platform mappings. The Gene 1.0 ST is most concordant with the HG-U133 array hybridized with cDNA targets, thus showing the impact of the target type. Agreements are better between platforms with designs which choose probes from the 3' end of the gene. Overall, the high degree of correspondence provides strong evidence for the reliability of the Gene 1.0 ST array.

Publication Title

Affymetrix Whole-Transcript Human Gene 1.0 ST array is highly concordant with standard 3' expression arrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP167389
Gene expression profiles of isogenic single-cell derived clones of BRAF-mutated SK-MEL-5 melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We recently reported that single-cell derived isogenic subclones of SKMEL5 cells have differential initial sensitivity to BRAF-inhibitors. In order to probe differences among these subclones, we selected three subclones with unique drug responses: progressing (SK-MEL-5 SC10), stationary (SK-MEL-5 SC07), and regressing (SK-MEL-5 SC01) and performed RNASeq. This study examines differentially expressed genes (DEGs) among the subclones to identify the molecular basis for initial differences in drug sensitivity. Overall design: Transcriptomics analysis between single-cell derived isogenic subclones of BRAF-mutated melanoma cell line, SK-MEL-5

Publication Title

A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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