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accession-icon GSE18592
Estrogen Coordinates Translation and Transcription Revealing a Role for NRSF in Human Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).

Publication Title

Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon SRP059270
Transcriptome Engineering Promotes a Fermentative Transcriptional State
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.

Publication Title

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Sample Metadata Fields

Subject

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accession-icon GSE9782
Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib
  • organism-icon Homo sapiens
  • sample-icon 264 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The aims of this study were to assess the feasibility of prospective pharmacogenomics research in multicenter international clinical trials of bortezomib in multiple myeloma and to develop predictive classifiers of response and survival with bortezomib. Patients with relapsed myeloma enrolled in phase 2 and phase 3 clinical trials of bortezomib and consented to genomic analyses of pretreatment tumor samples. Bone marrow aspirates were subject to a negative-selection procedure to enrich for tumor cells, and these samples were used for gene expression profiling using DNA microarrays. Data quality and correlations with trial outcomes were assessed by multiple groups. Gene expression in this dataset was consistent with data published from a single-center study of newly diagnosed multiple myeloma. Response and survival classifiers were developed and shown to be significantly associated with outcome via testing on independent data. The survival classifier improved on the risk stratification provided by the International Staging System. Predictive models and biologic correlates of response show some specificity for bortezomib rather than dexamethasone. Informative gene expression data and genomic classifiers that predict clinical outcome can be derived from prospective clinical trials of new anticancer agents.

Publication Title

Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55145
Gene expression profile alone is inadequate in predicting complete response in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We have analyzed gene expression microarray datasets from four different clinical trials to assess accuracy of gene expression based signature in predicting treatment complete response in patients with multiple myeloma. Two of four datasets were made available via The Intergroupe Francophone du Mylome (IFM) group, and remaining two datasets were downloaded from NCBI GEO portal with accession IDs: GSE19784 (HOVON65/GMMG-HD4 trial) and GSE9782 (APEX/SUMMIT trial). Analysis UUID: datasets_archive--2afcd42a-7e12-11e3-9145-5fcc1e060548--15-Jan-2014-12-23-44-CST.

Publication Title

Gene expression profile alone is inadequate in predicting complete response in multiple myeloma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41910
Gene expression profiling of gastrocnemius of mini muscle mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Few studies have investigated heterogeneity of selection response in replicate lines subjected to equivalent selection. We developed 4 replicate lines of mice based on high levels of voluntary wheel running (high runner or HR lines) while also maintaining 4 non-selected control lines. This led to the unexpected discovery of the HR mini-muscle (HRmini) phenotype, recognized by a 50% reduction in hindlimb muscle mass, which became fixed in 1 of the 4 HR selected lines.

Publication Title

Gene expression profiling of gastrocnemius of "minimuscle" mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE19784
Gene expression profiling of multiple myeloma patients included in the HOVON65/GMMG-HD4 trial
  • organism-icon Homo sapiens
  • sample-icon 315 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to identify relevant, molecularly defined subgroups in Multiple Myeloma (MM), gene expression profiling (GEP) was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/ GMMG-HD4 trial using Affymetrix GeneChip U133 plus 2.0 arrays. Hierarchical clustering identified 10 distinct subgroups. Using this dataset as training data, a prognostic signature was built. The dataset consists of 282 CEL files previously used in the hierarchical clustering study of Broyl et al (Blood, 116(14):2543-53, 2010) outlined above. To this set 8 CEL-files/gene expression profiles were added. Using this set of 290 CEL-files, a prognostic signature of 92 genes (EMC-92-genesignature) was generated by supervised principal components analysis combined with simulated annealing (Kuiper et al.).

Publication Title

Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE33389
Expression data from low- and high-pathogenicity avian influenza-infected chicken and duck cells
  • organism-icon Anas platyrhynchos, Gallus gallus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

While infection of chickens with highly pathogenic avian influenza (HPAI) H5N1 subtypes often leads to complete mortality within 24 to 48 h, infection of ducks in contrast causes mild or no clinical signs. Rapid onsets of fatal disease in chickens, but with no evidence of severe clinical symptoms in ducks, suggest underlying differences in their innate immune mechanisms. To understand the molecular basis for such difference, chicken and duck primary lung cells, infected with a low-pathogenicity avian influenza (LPAI) and two HPAI H5N1 viruses, were subjected to RNA expression profiling using Affymetrix Chicken GeneChip arrays.

Publication Title

Highly pathogenic avian influenza virus infection in chickens but not ducks is associated with elevated host immune and pro-inflammatory responses.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon SRP009275
Hen1 analysis in zebrafish
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

small RNA libraries from wild-type and Hen1 mutant testes were made with either polyA tailing (VASAGFPHen1minus/plus) or adapter ligation (Hen1Testis and WTTestis) and sequenced on an Illumina GAII platform. Overall design: RNA was isolated from total testis tissue of both Hen1 wildtype and Hen1 mutant animals. After size selection from gel, the small RNA libraries wre made.

Publication Title

Hen1 is required for oocyte development and piRNA stability in zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE86544
Expression profiling of cutaneous squamous cell carcinoma with perineural invasion implicates the p53 pathway in the process
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Squamous cell carcinoma (SCC) is the second most common cancer worldwide and accounts for approximately 30% of all keratinocyte cancers. The vast majority of cutaneous SCCs of the head and neck (cSCCHN) are readily curable with surgery and/or radiotherapy unless high-risk features are present. Perineural invasion (PNI) is recognized as one of these high-risk features. The molecular changes during clinical PNI in cSCCHN have not been previously investigated. In this study, we assessed the global gene expression differences between cSCCHN with or without incidental or clinical PNI. The results of the analysis showed signatures of gene expression representative of activation of p53 in tumors with PNI compared to tumors without, amongst other alterations. Immunohistochemical staining of p53 showed cSCCHN with clinical PNI to be more likely to exhibit a diffuse over-expression pattern, with no tumors showing normal p53 staining. DNA sequencing of cSCCHN samples with clinical PNI showed no difference in mutation number or position with samples without PNI, however a significant difference was observed in regulators of p53 degradation, stability and activity. Our results therefore suggest that cSCCHN with clinical PNI may be more likely to contain alterations in the p53 pathway, compared to cSCCHN without PNI.

Publication Title

Expression profiling of cutaneous squamous cell carcinoma with perineural invasion implicates the p53 pathway in the process.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE12949
GBM Xenograft response to 1 hour and 8 hour Cilengitide exposure
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Goal of this experiment is the identify differentially expressed genes in GBM zenografts that have been exposed to Cilengitide for 1 or 8 hours. A control with no cilengitide is also included. None of the tumors recieved radiation.

Publication Title

Radiation sensitization of glioblastoma by cilengitide has unanticipated schedule-dependency.

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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