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accession-icon SRP011993
Small RNA sequencing in Arabidopsis plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Identification of microRNA expressed in Arabidopsis plants grown at different ambient CO2 concentrations and different ambient temperatures Overall design: Small RNA sequencing of Arabidopsis wild type ecotype Columbia (Col-0) rossette leaves at bolting stage grown at 430 ± 50ppm and 810 ± 50ppm CO2 concentrations and 22 ± 0.5oC and 28 ± 0.5oC temperatures

Publication Title

The effects of carbon dioxide and temperature on microRNA expression in Arabidopsis development.

Sample Metadata Fields

Subject

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accession-icon GSE41588
Expression data for HT29 cells treated with 5-aza-deoxy-cytidine
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE41364
Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed into cDNAs and categorized in 3 groups with different concentrations of 5-aza-deoxy-cytidine (5-Aza); in each group three replicative 150 mm cultures were treated with: 1) dimethyl sulfoxide (vehicle alone, 0 M 5-Aza); 2) 5M 5-Aza and 3) 10 M 5-Aza; for five days

Publication Title

Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE62435
Global Functional Targets of the Histone Methyltransferase SDG8 Uncover a Role for Histone Modification in Energy Metabolism
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Histone methylation modulates gene expression in response to external and internal cues. We uncovered a non-redundant role for the Arabidopsis histone methyltransferase, SDG8, which provides a unique opportunity to study the global function of a specific histone methyltransferase within in a multicellular organism. We previously used a promoter responsive to light and carbon in a positive genetic screen to identify an Arabidopsis carbon and light insensitive mutant cli186. In this study, we characterize the mutant cli186 as a complete deletion of a histone methyltransferase gene SDG8 (now renamed sdg8-5). To assess the global role of SDG8, we compared the global histone methylation patterns and the transcriptome of sdg8-5 to wild type (WT) in the context of a transient carbon and light treatment. We showed that the complete deletion of SDG8 in sdg8-5 is associated with a dramatic reduction of H3K36me3 towards the 3 of the gene body, which correlates with significant reduction in gene expression. We uncovered 1,084 high confidence functional targets of SDG8 affected in both H3K36me3 marks and gene expression that are associated with specific biological processes including defense, photosynthesis, nutrient metabolism and energy metabolism. Importantly, 71% of these functional targets are responsive to carbon and/or light. Our model suggests that SDG8 functions to mark specific sets of genes with H3K36me3 in the gene body for active transcription, to tune genes involved in primary metabolism that are responsive to the energy level in the environment.

Publication Title

The histone methyltransferase SDG8 mediates the epigenetic modification of light and carbon responsive genes in plants.

Sample Metadata Fields

Treatment

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accession-icon GSE54049
Hit-and-run transcriptional control by bZIP1 mediates rapid nutrient signaling in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To identify potential transient interactions between a TF and its targets, we developed an approach that can identify primary targets based either on TF-induced regulation or TF-binding, assayed in the same samples. Our studies focused on the TF bZIP1 (BASIC LEUCINE ZIPPER 1), a central integrator of cellular and metabolic signaling.

Publication Title

Hit-and-run transcriptional control by bZIP1 mediates rapid nutrient signaling in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE108875
Expression data from mouse spleens after experimental stroke (reanalysis of dataset GSE70841 with additional experimental)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular composition of the spleen are extensively disrupted resulting in deficits to immune function.

Publication Title

Experimental Stroke Differentially Affects Discrete Subpopulations of Splenic Macrophages.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE42986
Transcriptome profiling in human primary mitochondrial respiratory chain disease
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: CHOP_1.0_ENTREZG (huex10st)

Description

Primary mitochondrial respiratory chain (RC) diseases are heterogeneous in etiology and manifestations but collectively impair cellular energy metabolism. To identify a common cellular response to RC disease, systems biology level transcriptome investigations were performed in human RC disease skeletal muscle and fibroblasts. Global transcriptional and post-transcriptional dysregulation in a tissue-specific fashion was identified across diverse RC complex and genetic etiologies. RC disease muscle was characterized by decreased transcription of cytosolic ribosomal proteins to reduce energy-intensive anabolic processes, increased transcription of mitochondrial ribosomal proteins, shortened 5'-UTRs to improve translational efficiency, and stabilization of 3'-UTRs containing AU-rich elements. These same modifications in a reversed direction typified RC disease fibroblasts. RC disease also dysregulated transcriptional networks related to basic nutrient-sensing signaling pathways, which collectively mediate many aspects of tissue-specific cellular responses to primary RC disease. These findings support the utility of a systems biology approach to improve mechanistic understanding of mitochondrial RC disease.

Publication Title

Primary respiratory chain disease causes tissue-specific dysregulation of the global transcriptome and nutrient-sensing signaling network.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP001722
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different maize tissues (including leaves, ears and tassels) collected from wild-type plants of the B73 variety. The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study. Overall design: Small RNA libraries were derived from leaves, ears and tassels of maize variety B73 (wild-type). Plants were grown in a flood irrigated plot at the University of Arizona (Tucson, AZ, USA) in 2007 and organs were pooled from several plants for each library. Young leaves were collected from 6-weeks-old seedlings. Post-meiotic immature ears were harvested from 10- and 11-week old plants while pre-meiotic tassels were collected from 8-week old plants. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen) and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank Lyudmila Sidorenko and Vicki Chandler for providing the plant material and Kan Nobuta for assistance with the computational methods.

Publication Title

Detailed analysis of a contiguous 22-Mb region of the maize genome.

Sample Metadata Fields

Subject

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accession-icon GSE52308
Expression data from H358
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Tumors that show evidence of epithelial to mesenchymal transition (EMT) have been associated with metastasis, drug resistance, and poor prognosis. EMT may alter the molecular requirements for growth and survival in different contexts, but the underlying mechanisms remain incomplete. Given the heterogeneity along the EMT spectrum between and within tumors it is important to define the requirements for growth and survival in cells with an epithelial or mesenchymal phenotype to maximize therapeutic efficacy.

Publication Title

Epithelial-to-mesenchymal transition rewires the molecular path to PI3K-dependent proliferation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE33654
Gene expression from healthy male and female porcine aortic valve leaflets
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Calcific aortic valvular disease (CAVD) is characterized by sclerosis of the aortic valve leaflets and recent clinical studies have linked several other risk factors to this disease, including male sex. In this study we examined potential sex-related differences in gene expression profiles between porcine male and female valvular interstitial cells (VICs) to explore possible differences in CAVD propensity on the cellular level.

Publication Title

Sex-related differences in gene expression by porcine aortic valvular interstitial cells.

Sample Metadata Fields

Sex, 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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