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accession-icon GSE17384
Gene expression data from the LEC rat model with naturally occuring and oxidative stress induced liver tumorigenesis
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To elucidate the fundamental molecular mechanisms responsible for multistep hepatotumorigenesis, this study investigated genes that were upregulated in a stepwise manner from the nave liver condition through to chronic oxidative stress-induced hepatitis and liver tumor by time-series microarray analysis. The time-dependent gene expression profile should reflect the multistep process of hepatotumorigenesis, and might identify genes that function specifically in hepatotumorigenesis.

Publication Title

IQGAP1 and vimentin are key regulator genes in naturally occurring hepatotumorigenesis induced by oxidative stress.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE36897
Expression data from mouse neural cells and tumors
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural stem cells (NSCs) are considered to be the cell-of-origin of brain tumor stem cells. To identify the genetic pathways responsible for the transformation of normal NSCs to brain-tumor-initiating cells, we used Sleeping Beauty (SB) transposons, to mutagenize NSCs. Mobilized SB transposons induced the immortalization of NSCs. Immortalized NSCs induced tumors upon subcutaneous transplantation in immunocompromized mice. To further classify the immortalized cells and mouse tumors, we performed Gene Set Enrichment Analysis (GSEA) using DNA microarray data.

Publication Title

Transposon mutagenesis identifies genes that transform neural stem cells into glioma-initiating cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE63693
Prostate Cancer Risk SNPs enriched in Androgen Receptor Binding Sites
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide association studies (GWAS) have identified dozens of genomic loci, whose single nucleotide polymorphisms (SNPs) predispose to prostate cancer (PCa). However, the biological functions of these common genetic variants and the mechanisms to increase disease risk are largely unknown. We integrated chromatin-IP coupled sequencing (ChIP-seq) and microarray expression profiling in the TMPRSS2-ERG gene rearrangement positive DuCaP cell model with the NHGRI GWAS PCa risk SNPs catalog, in an attempt to identify disease susceptibility SNPs localized within functional androgen receptor binding sites (ARBSs). Among the 48 GWAS index SNPs and 2,702 linked SNPs defined by the 1000G project 104 were found to be localized in the AR ChIP-seq peaks. Of these risk SNPs, rs11891426 T/G in the 7th intron of its host gene melanophilin (MLPH) was found located within a putative auxiliary ARE motif, which we found enriched in the neighborhood of canonical ARE motifs. Exchange of T to G attenuated the transcriptional activity of the MLPH-ARBS in a reporter gene assay. The expression of MLPH protein in tissue samples from prostate cancer patients was significantly lower in those with the G compared to the T allele. Moreover, a significant positive correlation of AR and MLPH protein expression levels was also confirmed in tissue samples. These results unravel a hidden link between AR and a functional PCa risk SNP rs11891426, whose allele alteration affects androgen regulation of its host gene MLPH. This study shows the power of integrative studies to pin down functional risk SNPs and justifies further investigations.

Publication Title

Putative Prostate Cancer Risk SNP in an Androgen Receptor-Binding Site of the Melanophilin Gene Illustrates Enrichment of Risk SNPs in Androgen Receptor Target Sites.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE30223
Expression data of germinating Arabidopsis seeds
  • organism-icon Arabidopsis thaliana
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In depth temporal profiling of transcript changes at 10 time points during germination in Arabidopsis seed was carried out. The time course utilised, encompassed seed maturation, stratification, germination and post-germination and provided a global investigation into the tightly regulated, phasic changes that define seed germination.

Publication Title

In-depth temporal transcriptome profiling reveals a crucial developmental switch with roles for RNA processing and organelle metabolism that are essential for germination in Arabidopsis.

Sample Metadata Fields

Specimen part, Disease, Time

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accession-icon GSE43050
Expression data in response to Xoo. bacterial infection in rice
  • organism-icon Oryza sativa
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

In response to bacterial infection, early transcriptional re-programming occurs in the host plant.

Publication Title

Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress.

Sample Metadata Fields

Specimen part

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accession-icon GSE46107
Expression data in response to WRKY40 and WRKY63 knock-out/overexpression (and in response to high light stress)
  • organism-icon Arabidopsis thaliana
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In response to WRKY40 and WRKY60 perturbation (and high light stress), significant transcriptional re-programming occurs particularly for genes encoding stress responsive mitochondrial and choloplast proteins.

Publication Title

AtWRKY40 and AtWRKY63 modulate the expression of stress-responsive nuclear genes encoding mitochondrial and chloroplast proteins.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon E-MEXP-1766
Transcription profiling of rice over the first 24 hours of germination under aerobic conditions
  • organism-icon Oryza sativa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Transcript abundance profiles were examined over the first 24 hours of germination in rice grown under aerobic conditions.

Publication Title

Experimental analysis of the rice mitochondrial proteome, its biogenesis, and heterogeneity.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE38448
Independence of Repressive Histone Marks and Chromatin Compaction during Senescent Heterochromatic Layer Formation
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Independence of repressive histone marks and chromatin compaction during senescent heterochromatic layer formation.

Sample Metadata Fields

Sex, Cell line, Treatment

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accession-icon GSE38410
Independence of Repressive Histone Marks and Chromatin Compaction during Senescent Heterochromatic Layer Formation (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The expansion of repressive epigenetic marks has been implicated in heterochromatin formation during embryonic development, but the general applicability of this mechanism is unclear. Here we show that nuclear rearrangement of repressive histone marks H3K9me3 and H3K27me3 into non-overlapping structural layers characterizes senescence-associated heterochromatic foci (SAHF) formation in human fibroblasts. However, the global landscape of these repressive marks remains unchanged upon SAHF formation, suggesting that in somatic cells heterochromatin can be formed through the spatial repositioning of pre-existing repressively marked histones. This model is reinforced by the correlation of pre-senescent replication timing with both the subsequent layered structure of SAHFs and the global landscape of the repressive marks, allowing us to integrate microscopic and genomic information. Furthermore, modulation of SAHF structure does not affect the occupancy of these repressive marks nor vice versa. These experiments reveal that high-order heterochromatin formation and epigenetic remodeling of the genome can be discrete events.

Publication Title

Independence of repressive histone marks and chromatin compaction during senescent heterochromatic layer formation.

Sample Metadata Fields

Sex, Cell line, Treatment

View Samples
accession-icon GSE26443
Characterization of gene expression profile in developing soybean seeds by DNA microarray
  • organism-icon Glycine max
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Gene expression profiles in soybean seeds at 4 developmental stages, pod, bean 2 mm, bean 5 mm, and full-sized bean, were examined by DNA microarray analysis. Total genes of each samples were classified into 4 clusters according to developmental stages. Differentially expressed genes (DEGs) were extracted by comparing their expression in two adjacent stages, by using the rank product method.

Publication Title

Global gene expression profiles in developing soybean seeds.

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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