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accession-icon GSE69088
Gene expression profiling on isogenic lines expressing wild-type and mutant forms of SMARCA2 and SMARCA4
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SMARCA2 and SMARCA4 are two mutually exclusive ATPase subunits of SWI/SNF complex. SMARCA4 deficient lung cancer population selectively depend on SMARCA2 for cancer growth phenotype. Rescue experiments with ectopic expression of wild-type, bromodomain mutant and ATPase dead SMARCA2 and SMARCA4 highlight that ATPase domain is the drug target.

Publication Title

The SMARCA2/4 ATPase Domain Surpasses the Bromodomain as a Drug Target in SWI/SNF-Mutant Cancers: Insights from cDNA Rescue and PFI-3 Inhibitor Studies.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE21681
Expression data from aged, calorically restricted rat hippocampal regions CA1, CA3, and DG
  • organism-icon Rattus norvegicus
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Aging is associated with a decline in hippocampal mediated learning and memory, a process wich can be ameliorated by dietary (caloric) restriction. We used Affymetrix gene expression analysis to monitor changes in three regions of the hippocampus (CA1, CA3, DG) of middle aged (18 months) and old (28 month) rats that were exposed to dietary restriction. Old rats were determined to be good performers (GP) or poor performers (PP) in behavioral tests to assess thier hippocampal function.

Publication Title

Gene expression in the hippocampus: regionally specific effects of aging and caloric restriction.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE11218
Identification of Dynamically Regulated MicroRNA and mRNA Networks in Oligodendrocytes
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

MicroRNAs (miRNAs) play important roles in modulating gene expression at the post-transcriptional level. In postnatal oligodendrocytes, the miRNA expression profile -microRNAome - consists of 98 miRNAs whose expression dynamically changes during the transition from A2B5+ oligodendrocyte progenitor cells to premyelinating GalC+ cells. The combination of microRNAome profiling with analyses of the oligodendrocyte transcriptome reveals a target bias for a class of miRNAs which includes miR-9. We show that miR-9 is down-regulated during oligodendrocyte differentiation. In addition, miR-9 expression levels inversely correlate with the expression of its predicted targets, among which is the peripheral myelin protein, PMP22. PMP22 mRNA but not protein is detectable in oligodendrocytes, while Schwann cells producing PMP22 protein lack miR-9. We demonstrate that miR-9 interacts with the 3 untranslated region of PMP22 and down-regulates its expression. Our results support models in which miRNAs can act as guardians of the transcriptome.

Publication Title

Identification of dynamically regulated microRNA and mRNA networks in developing oligodendrocytes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41258
Expression data from colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 389 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The study consist of patients who presented at Memorial Sloan-Kettering Cancer Center with a colonic neoplasm between 1992 and 2004. Biological specimens used in this study include primary colon adenocarcinomas, adenomas, metastasis and corresponding normal mucosae.

Publication Title

Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE68468
caArray_notte-00422: Molecular Dissection of Colon Cancer
  • organism-icon Homo sapiens
  • sample-icon 221 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

RNA expression data was generated as part of a colon cancer study. Samples were obtained from patients, including primary colon cancer, polyps, metastases, and matched normal mucosa (obtained from the margins of the resection). The RNA was extracted from tissue samples obtained from resections and hybridized to Affymetrix HG-U133 arrays. RNA expression data was also obtained for a few cell lines.

Publication Title

Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line

View Samples
accession-icon SRP026126
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Illumina HiSeq 2500]
  • organism-icon Homo sapiens
  • sample-icon 419 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). These results show high (R2 >0.9) intra-platform consistency across test sites, high inter-platform concordance (R2 >0.8) for transcriptome profiling, and a large set of novel splice junctions observed across all platforms. Also, we observe that protocols using ribosomal RNA depletion can both salvage degraded RNA samples and also be readily compared to polyA-enriched fractions. These data provide a broad foundation for standardization, evaluation and improvement of RNA-seq methods. Overall design: Two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). Please note that the samples were named following the ABRF-Platform-Site-Sample-Replicate# format. For example, ABRF-454-CNL-A-1 means Sample A was run on 454 platform at Cornell and this is the first replicate, and ABRF-454-CNL-A-2 means the same exact sample was ran with same machine at same location and is 2nd replicate.

Publication Title

RNA-seq of human reference RNA samples using a thermostable group II intron reverse transcriptase.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE9761
Response to estradiol-ERalpha, estradiol-Erbeta, and ERE Binding defective mutants
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9759
Response to estradiol-ERbeta and estradiol-ERbeta ERE binding defective mutant
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERbeta regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERbeta signaling is unclear. Our studies in infected ER-negative cell models with an ERbeta mutant (ERbetaDBD) that functions exclusively at the ERE-independent pathway demonstrated that genomic responses assessed by microarrays from the ERE-independent pathway to E2-ERbeta are not sufficient to alter cellular growth, death or motility. These findings suggest that the ERE-dependent pathway is the canonical E2-ERbeta signaling in model cell lines.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9758
Response to estradiol-ERalpha ERE Binding defective mutant
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERalpha regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERalpha signaling is unclear. Our studies in infected ER-negative cell models with an ERalpha mutant (ERalpha 203/204/211E) that functions exclusively at the ERE-independent pathway demonstrated that genomic responses assessed by microarrays from the ERE-independent pathway to E2-ERalpha are not sufficient to alter cellular growth, death or motility. These findings suggest that the ERE-dependent pathway is the canonical E2-ERalpha signaling in model cell lines.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9757
Response to estradiol-ERalpha
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERalpha regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERalpha signaling is unclear. Our studies in infected ER-negative cell models with an ERalpha demonstrated that genomic responses assessed by microarrays from the alter cellular growth, death or motility.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

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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