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accession-icon SRP050137
RNA-seq analysis of the eight Drosophila SR protein family members
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Using RNA-seq, we characterize the global AS regulation of the eight Drosophila SR protein family members Overall design: RNA-seq experiments on two replicate samples from 8 individual SR protein knockdown (exptGroup=S), two replicates of simultaneous SR protein knockdown (XL6:B52 & SC35:B52) (exptGroup=D). Each exptGroup includes duplicate of its own non-specific (NS) controls.

Publication Title

SR proteins control a complex network of RNA-processing events.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE43358
Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays have revolutionized breast cancer (BC) research by enabling studies of gene expression on a transcriptome-wide scale. Recently, RNA-Sequencing (RNA-Seq) has emerged as an alternative for precise readouts of the transcriptome. To date, no study has compared the ability of the two technologies to quantify clinically relevant individual genes and microarray-derived gene expression signatures (GES) in a set of BC samples encompassing the known molecular BC's subtypes. To accomplish this, the RNA from 57 BCs representing the four main molecular subtypes (triple negative, HER2 positive, luminal A, luminal B), was profiled with Affymetrix HG-U133 Plus 2.0 chips and sequenced using the Illumina HiSeq 2000 platform. The correlations of three clinically relevant BC genes, six molecular subtype classifiers, and a selection of 21 GES were evaluated.

Publication Title

Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon SRP030404
mRNA-seq of Drosophila Ago2 mutants
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Transcription and pre-mRNA alternative splicing are highly regulated processes that play major roles in modulating eukaryotic gene expression. It is increasingly apparent that other pathways of RNA metabolism, including small RNA biogenesis, can regulate these processes. However, a direct link between alternative pre- mRNA splicing and small RNA pathways has remained elusive. Here we show that the small RNA pathway protein Argonaute-2 (Ago-2) regulates alternative pre-mRNA splicing patterns of specific transcripts in the Drosophila nucleus using genome-wide methods in conjunction with RNAi in cell culture and Ago-2 deletion or catalytic site mutations in Drosophila adults. Moreover, we show that nuclear Argonaute-2 binds to specific chromatin sites near gene promoters and negatively regulates the transcription of the Ago-2-associated target genes. These transcriptional target genes are also bound by Polycomb group (PcG) transcriptional repressor proteins and change during development, implying that Ago-2 may regulate Drosophila development. Impor- tantly, both of these activities were independent of the catalytic activity of Ago-2, suggesting new roles for Ago-2 in the nucleus. Finally, we determined the nuclear RNA-binding profile of Ago-2, found it bound to several splicing target transcripts, and identified a G-rich RNA-binding site for Ago-2 that was enriched in these transcripts. These results suggest two new nuclear roles for Ago-2: one in pre-mRNA splicing and one in transcriptional repression. Overall design: 2 Ago2 mutants, 51B and V966M, heterozygotes and homozygotes of both each sequenced in duplicate

Publication Title

Two new and distinct roles for Drosophila Argonaute-2 in the nucleus: alternative pre-mRNA splicing and transcriptional repression.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP041755
Transcriptome analysis of human reninomas as an approach to understanding juxtaglomerular cell biology
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Renin, a key component in the regulation of blood pressure in mammals, is produced by the rare and highly specialized juxtaglomerular (JG) cells of the kidney. Although these cells line the media of the glomerular afferent arterioles and share some characteristics with contractile cells, they are filled with lysosome-like organelles where renin is activated and stored for regulated secretion in response to physiological and pathophysiological stimuli. Chronic stimulation of renin release results in a recruitment of new JG cells by the seeming conversion of adjacent smooth muscle cells along the afferent arterioles. Because JG cells rapidly de-differentiate when removed from the kidney, their developmental origin and the mechanism that explains their phenotypic plasticity remain largely unclear. In an effort to overcome this limitation, we have performed RNA expression analysis on four human renin-producing tumors. The most highly expressed genes that were common between the reninomas were subsequently used for in situ hybridization in mouse kidney. Our results add 40 new genes to the list that characterize renin-producing cells and reveal a significant variation in the expression patterns of developing, mature and recruited JG cells. Overall design: RNA-Seq was performed with a HiSeq 2000 on three biopsies of a first reninoma from Paris (Par1B1-B3), one biopsy from a reninoma from Montreal (Mon), two biopsies from a reninoma from Rotterdam (RotB1, B2), and a second reninoma from Paris (Par2) along with a biopsy from adjacent supposedly normal tissue from the same patient (Par2N).

Publication Title

Transcriptome Analysis of Human Reninomas as an Approach to Understanding Juxtaglomerular Cell Biology.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13940
Genome-wide analysis of alternative pre-mRNA splicing of the Drosophila hnRNP A/B family members
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide analysis of alternative pre-mRNA splicing and RNA-binding specificities of the Drosophila hnRNP A/B family members.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE141118
shRNA screen of factors involved in Aire-sensitive gene expression on their 3'UTR lengthening
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

CLP1 controls the expression of Aire-sensitive genes with proximal pAs and their shortening in HEK293 cells

Publication Title

Aire-dependent genes undergo Clp1-mediated 3'UTR shortening associated with higher transcript stability in the thymus.

Sample Metadata Fields

Cell line

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accession-icon GSE109733
Expression data from MCF-7 breast cancer cells grown in 2D and 3D
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We used a microarray to examine the global gene expression profile of MCF7 cells grown in 2D and 3D culture conditions. Our goal was to identify changes in the expression of genes that regulate iron metabolism when cellular spatial organization was altered.

Publication Title

Contribution of three-dimensional architecture and tumor-associated fibroblasts to hepcidin regulation in breast cancer.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon GSE7196
Differential gene expression between WT and ERRa-null hearts
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Total RNA was isolated from 3 WT and 3 ERRa null hearts and independent hybridizations were performed using MOE430 2.0 microarrays. Expression profiling was conducted to determine changes in gene expression in hearts lacking ERRa. The expression of genes involved in heart and muscle development, muscle contraction, lipid metabolism, OxPhos, protein metabolism and transcription were affected by the loss of ERRa.

Publication Title

Genome-wide orchestration of cardiac functions by the orphan nuclear receptors ERRalpha and gamma.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP068565
A novel compound that blocks HIV-1 replication inhibits the splicing regulatory function of SRSF10
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: We have identified a new compound (1C8) that inhibits HIV-1 replication and that displays very low cellular toxicity. Here, we assess the molecular mechanisms of action of 1C8. Following transcription of the HIV-1 genome, its primary transcript is processed to produce dozens of distinct mRNAs through the alternative use of splice sites. Results: 1C8 decreases the activity of SRSF10, a cellular protein that controls the selection of splice sites in HIV-1 transcripts. 1C8 decreases the phosphorylation of SRSF10, and this change is associated with alterations in the interaction of SRSF10 with HIV-1 transcripts and factors that control splice site selection. Thus, 1C8 represents a novel compound with properties that are potentially useful for treating HIV-1 infection. Overall design: Examination of RNA-seq to investigate alternative splicing changes between control and 4 different concentrations of a drug that 1C8. 4 replicates were sequenced for each condition.

Publication Title

Modulation of the splicing regulatory function of SRSF10 by a novel compound that impairs HIV-1 replication.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34714
Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples. (test samples)
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Background: Gene expression profiling has shown its ability to identify with high accuracy low cytogenetic risk acute myeloid leukemia such as acute promyelocytic leukemia and leukemias with t(8;21) or inv(16). The aim of this gene expression profiling study was to evaluate to what extent suboptimal samples with low leukemic blast load (range, 2-59%) and/or poor quality control criteria could also be correctly identified. Methods: Specific signatures were first defined so that all 71 acute promyelocytic leukemia, leukemia with t(8;21) or inv(16)-AML as well as cytogenetically normal acute myeloid leukemia samples with at least 60% blasts and good quality control criteria were correctly classified (training set). The classifiers were then evaluated for their ability to assign to the expected class 111 samples considered as suboptimal because of a low leukemic blast load (n=101) and/or poor quality control criteria (n=10) (test set). Results: With 10-marker classifiers, all training set samples as well as 97 of the 101 test samples with a low blast load, and all 10 samples with poor quality control criteria were correctly classified. Regarding test set samples, the overall error rate of the class prediction was below 4 percent, even though the leukemic blast load was as low as 2%. Sensitivity, specificity, negative and positive predictive values of the class assignments ranged from 91% to 100%. Of note, for acute promyelocytic leukemia and leukemias with t(8;21) or inv(16), the confidence level of the class assignment was influenced by the leukemic blast load. Conclusion: Gene expression profiling and a supervised method requiring 10-marker classifiers enable the identification of favorable cytogenetic risk acute myeloid leukemia even when samples contain low leukemic blast loads or display poor quality control criterion.

Publication Title

Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples.

Sample Metadata Fields

Time

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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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