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accession-icon SRP032958
Mus musculus Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RNA-seq study performed on mice treated with cadmium to investigate the testis transcriptome.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE85047
Gene expression data from primary neuroblastoma tumors
  • organism-icon Homo sapiens
  • sample-icon 283 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This dataset contains gene expression data from the NRC series (Neuroblastoma Research Consortium) for a total of 283 primary neuroblastoma tumors. All tumor samples are fully annotated including patient age at diagnosis, overall and progresison free survival and MYCN amplification status, enabling subgroup analysis, survival analysis and gene expression network analysis.

Publication Title

Cross-Cohort Analysis Identifies a TEAD4-MYCN Positive Feedback Loop as the Core Regulatory Element of High-Risk Neuroblastoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21713
mRNA expression data from primary untreated neuroblastoma tumour samples
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The miR-17-92 microRNA cluster is often activated in cancer cells, but the identity of its targets remains largely elusive. Here we examined the effects of activation of the entire miR-17-92 cluster on global protein expression in neuroblastoma cells.

Publication Title

The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-669
Transcription profiling of human normal neuroblasts vs. malignant neuroblastomas (low- and high-stage)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Comparison of normal neuroblasts with malignant neuroblastomas (low- and high-stage)

Publication Title

Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon SRP189512
Genome wide analysis of 3'-UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish: Developmental mRNA-seq timecourse
  • organism-icon Danio rerio
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Post-transcriptional regulation plays a crucial role in shaping gene expression. During the Maternal-to-Zygotic Transition (MZT), thousands of maternal transcripts are regulated, however, how different cis-elements and trans-factors are integrated to determine mRNA stability is still poorly understood. Here, we show that most transcripts are under combinatorial regulation by multiple decay pathways during zebrafish MZT. Using a massively parallel reporter assay, we identified cis-regulatory sequences in the 3'-UTR, including poly-U motifs that are associated with mRNA stability. In contrast, miR-430 target sequences, UAUUUAUU AU-rich elements (ARE), CCUC and CUGC elements emerged as destabilizing motifs, with miR-430 and AREs causing mRNA deadenylation upon genome activation. We identified trans-factors by profiling RNA-protein interactions and found that poly-U binding proteins are preferentially associated with 3'-UTR sequences and stabilizing motifs. We demonstrate that this activity is antagonized by poly-C motifs and correlated with protein binding. Finally, we integrated these regulatory motifs into a machine learning model that predicts reporter mRNA stability in vivo.This is the developmental mRNA-seq timecourse part of the study.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon SRP149556
mRNA structure dynamics identifies RNA remodelers and functional elements during embryogenesis: mRNA-seq
  • organism-icon Danio rerio
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA folding plays a crucial role in RNA function. However, our knowledge of the global structure of the transcriptome is limited to steady-state conditions, hindering our understanding of how RNA structure dynamics influences gene function. Here, we have characterized mRNA structure dynamics during the maternal-to-zygotic transition in zebrafish. We observe that on a global level, translation guides structure rather than structure guides translation. We detect a decrease in structure in translated regions, and identify the ribosome as a major remodeler of RNA structure in vivo. In contrast, we find that 3'-UTRs form highly folded structures in vivo, which can affect gene expression by modulating miRNA activity. Furthermore, we find that dynamic 3'-UTR structures are enriched in RNA decay elements, including regulatory elements in nanog, and cyclin A1, key maternal factors orchestrating the maternal-to-zygotic transition. These results reveal a central role of RNA structure dynamics in gene regulatory programs during embryogenesis.This is the developmental mRNA-seq timecourse part of the study.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon SRP090954
RESA identifies mRNA regulatory sequences with high resolution
  • organism-icon Danio rerio
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Gene expression is regulated extensively at the level of mRNA stability, localization, and translation. However, decoding functional RNA regulatory features remains a limitation to understanding post-transcriptional regulation in vivo. Here, we developed RNA Element Selection Assay (RESA), a method that selects RNA elements based on their activity in vivo and uses high-throughput sequencing to provide quantitative measurement of their regulatory function with near nucleotide resolution. We implemented RESA to identify sequence elements modulating mRNA stability during zebrafish embryogenesis. RESA provides a sensitive and quantitative measure of microRNA activity in vivo and also identifies novel regulatory sequences. To uncover specific sequence requirements within regulatory elements, we developed a bisulfite-mediated nucleotide conversion strategy for large-scale mutational analysis (RESA-bisulfite). Finally, we used the versatile RESA platform to map candidate protein-RNA interactions in vivo (RESA-CLIP). The RESA platform can be broadly applicable to uncover the regulatory features shaping gene expression and cellular function.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1239
Transcription profiling time series of Danio rerio heart regeneration
  • organism-icon Danio rerio
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Amputation of heart tissue followed by regeneration of the heart. Samples were taken at 0 hpa (hours post-amputation), 6 hpa, 12 hpa, 24 hpa, 3 dpa and 5 dpa.

Publication Title

Simplet controls cell proliferation and gene transcription during zebrafish caudal fin regeneration.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP129892
RES complex is associated with intron definition and required for zebrafish early embryogenesis
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

Pre-mRNA splicing is a critical step of gene expression in eukaryotes. Transcriptome-wide splicing patterns are complex and primarily regulated by a diverse set of recognition elements and associated RNA-binding proteins. The retention and splicing (RES) complex is formed by three different proteins (Bud13p, Pml1p and Snu17p) and is involved in splicing in yeast. However, the importance of the RES complex for vertebrate splicing, the intronic features associated with its activity, and its role in development are unknown. In this study, we have generated loss-of-function mutants for the three components of the RES complex in zebrafish and showed that they are required during early development. The mutants showed a marked neural phenotype with increased cell death in the brain and a decrease in differentiated neurons. Transcriptomic analysis of bud13, snip1 (pml1) and rbmx2 (snu17) mutants revealed a global defect in intron splicing, with strong mis-splicing of a subset of introns. We found these RES-dependent introns were short, rich in GC and flanked by GC depleted exons, all of which are features associated with intron definition. Using these features, we developed and validated a predictive model that classifies RES dependent introns. Altogether, our study uncovers the essential role of the RES complex during vertebrate development and provides new insights into its function during splicing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE74297
MALT1 protease activity controls the expression of inflammatory genes in keratinocytes upon Zymosan stimulation
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The protease activity of the paracaspase MALT1 plays an important role in antigen receptor-mediated lymphocyte activation by controlling the activity of the transcription factor NF-kB and is thus essential for the expression of inflammatory target genes.

Publication Title

MALT1 Protease Activity Controls the Expression of Inflammatory Genes in Keratinocytes upon Zymosan Stimulation.

Sample Metadata Fields

Treatment

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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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