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accession-icon SRP001010
A high resolution transcriptome map for both wild-type and NMD defective C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

While the genome sequence of many animals is now complete, their transcriptomes are less well characterised. Both genome-scale tiling arrays and massively parallel sequencing now allow transcriptomes to be mapped at unprecedented depth. We used both technologies to map the C. elegans transcriptome across development. This unbiased overview can serve as a framework for assessing transcriptome changes in a mutant animal and we compared the wild-type data with that of animals that have lost the nonsense-mediated decay (NMD) pathway. Results We find that while the great majority of detectable transcripts map to known gene structures, over 5% of transcribed regions are novel, falling outside current gene annotations. We show that at least 40% of these are novel exons. We also used both technologies to assess isoform complexity and estimate that at least 17% of genes change their major isoform across development. Having mapped the wild-type transcriptome, we examined how this is perturbed in animals lacking nonsense -mediated decay (NMD). NMD prevents expression of prematurely truncated proteins by degrading transcripts containing premature termination codons (PTCs). We find that ~20% of all genes produce transcripts that appear to be targets for NMD. While most of these arise from splicing errors, NMD targets are also enriched for transcripts that contain short open reading frames upstream of the predicted translational start (uORFs). We find an intriguing relationship between the strength of Kozak consensus surrounding the true start codon and the degree to which these uORF containing transcripts are targeted by NMD, suggesting that translational efficiency may be coupled to transcript turnover via the NMD pathway for many transcripts. Conclusions We have generated a high-resolution map of the C. elegans transcriptome and have used it to identify transcripts that are endogenous targets of the NMD machinery. We find that these targets arise principally through splicing errors and suggest that splicing and NMD are highly interlinked processes.

Publication Title

High resolution transcriptome maps for wild-type and nonsense-mediated decay-defective Caenorhabditis elegans.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP155020
Transcriptional changes in mouse models in SCA3
  • organism-icon Mus musculus
  • sample-icon 506 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study examined early transcriptional changes in the brain of different mouse models of spinocerebellar ataxia type 3, a dominantly-inherited neurodegenerative disease caused by a CAG repeat expansion in the ATXN3 gene. The goal was to identify early transcriptional signatures that are strongly associated with the accumulation and aggregation of the disease protein, ataxin-3, in the brain. The study also investigated the extent to which the observed transcriptional changes might be contributors to disease pathogenesis. Overall design: The overall study includes multiple different RNA-seq runs utilizing wild-type, two different knock-in mouse models of SCA3 (a traditional and variant), two different transgenic models of SCA3 (Q84 and Q15), and an ataxin-3 knock-out mouse. In total, 19 wild-type mice, 13 homozygous variant knock-in mice, 6 heterozygous variant knock-in mice, 4 traditional homozygous knock-in mice, 4 traditional heterozygous knock-in mice, 4 Q84 transgenic mice, 4 Q15 transgenic mice, and 3 ataxin-3 knock-out mice. The majority of the study examined the pons of the mice, and with one smaller run examining the deep cerebellar nuclei of wild-type and variant homozygous knock-in mice (n=3 each).

Publication Title

Comparison of spinocerebellar ataxia type 3 mouse models identifies early gain-of-function, cell-autonomous transcriptional changes in oligodendrocytes.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE87705
Genomic pathways modulated by Twist in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The basic helix-loop-helix transcription factor TWIST1 (Twist) is involved in embryonic cell lineage determination and mesodermal differentiation. There is evidence to indicate that Twist expression plays a role in breast tumor formation and metastasis, but the role of Twist in dysregulating pathways that drive the metastatic cascade is unclear. Importantly, the genes and pathways dysregulated by Twist in cell lines and mouse models have not been validated against data obtained from patient samples.

Publication Title

Genomic pathways modulated by Twist in breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon SRP007530
Expression analysis in mouse female PGK12.1 ES cells by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Many animal species employ a chromosome-based mechanism of sex determination, which has led to coordinate evolution of dosage compensation systems. Dosage compensation not only corrects the imbalance in the number of X-chromosomes between the sexes, but is also hypothesized to correct dosage imbalance within cells due to mono-allelic X expression and bi-allelic autosomal expression, by upregulating X-linked genes (termed â??Ohnoâ??s hypothesisâ??). Although this hypothesis is well supported by expression analyses of individual X-linked genes and by array-based transcriptome analyses, a recent study claimed that no such X upregulation exists in mammals and C. elegans based on RNA-sequencing and proteomics analyses. We provide RNA-seq RNA-seq analysis of mouse female PGK12.1 ES cells with two active X chromosomes and confirmed that the X chromosome is upregulated, consistent with the previous microarray study. Overall design: Examination of expression of X-linked and autosomal genes in mouse female ES cells with two active X chromosomes.

Publication Title

Bipartite structure of the inactive mouse X chromosome.

Sample Metadata Fields

Sex, Cell line, Subject

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accession-icon GSE60324
Effect of knock down of LASP-1 on human breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

LASP-1: a nuclear hub for the UHRF1-DNMT1-G9a-Snail1 complex.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE30487
Expression profile of high yielding rice introgression line
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Leaves and panicles from recurrent parent KMR3 and a high yielding KMR3-O.rufipogon introgression line were used

Publication Title

Os11Gsk gene from a wild rice, Oryza rufipogon improves yield in rice.

Sample Metadata Fields

Specimen part

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accession-icon GSE60322
Effect of knock down of LASP-1 on luminal breast cancer cells (MCF7)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Nuclear LASP-1 has a direct correlation with the overall survival of breast cancer patients. Gene expression analysis of MCF7 human breast cancer cells cultured in 3D-Matrigel was performed.

Publication Title

LASP-1: a nuclear hub for the UHRF1-DNMT1-G9a-Snail1 complex.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE29233
Genes regulated by TGF-beta in bovine articular chondrocytes
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Bovine articular chondrocytes were grown in micromass culture and were either untreated or treated with 5 ng TGF-b1/ml for 8 hours to identify genes regulated by TGF-b.

Publication Title

Altered responsiveness to TGF-β results in reduced Papss2 expression and alterations in the biomechanical properties of mouse articular cartilage.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE16462
Expression data from Chd1-deficient mouse ES cells (E14 cell lines) and genome-wide binding of Chd1 in parental ES cells
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to study the effect of Chd1 loss of function in mouse ES cells.

Publication Title

Chd1 regulates open chromatin and pluripotency of embryonic stem cells.

Sample Metadata Fields

Cell line

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accession-icon GSE58948
Gene expression analysis of crypt base epithelial cells from WT and Nod2-/- mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Nod2 has been extensively characterized as a bacterial sensor that induces an antimicrobial and inflammatory gene expression program. Therefore, it is unclear why Nod2 mutations that disrupt bacterial recognition are paradoxically among the highest risk factors for Crohns disease, which involves an exaggerated immune response directed at intestinal bacteria. Previous studies from our lab have shown that mice deficient in Atg16L1, another Crohns disease susceptibility gene, develop abnormalities in Paneth cells, specialized epithelial cells in the small intestine involved in antimicrobial responses.

Publication Title

Bacterial sensor Nod2 prevents inflammation of the small intestine by restricting the expansion of the commensal Bacteroides vulgatus.

Sample Metadata Fields

Age, Specimen part

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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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