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accession-icon SRP065916
Zea mays cultivar:KR701,Hei8834 Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The research of maize freezing tolerance.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1414
Transcription profiling of hepatocyes from Zucker fa/fa obese rats vs controls
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Analysis of the gene signature of steatosis associated to obesity in hepatocytes of Zucker fa/fa obese rats and their controls; identifying target genes linked to steatosis progression. or Obesity and insulin resistance-associated steatosis can be a non-inflammatory condition affecting hepatocytes or progress to steatohepatitis: a condition that can result in end-stage liver disease. Although molecular events leading to accumulation of lipid droplets in the liver have been identified individually, the complexity of the condition suggested that emergent target would be uncovered by a more comprehensive examination. Then, this study was aimed at establishing a gene signature of steatosis in hepatocytes and at identifying target genes linked to steatosis progression. Using Affymetrix oligonucleotide arrays, we compared transcriptomes of hepatocytes isolated from Zucker "fa/fa" obese rats with three different age-related grades of steatosis with those of their counterpart non-steatotic cells.

Publication Title

A subset of dysregulated metabolic and survival genes is associated with severity of hepatic steatosis in obese Zucker rats.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon SRP148889
Environmental Toxicant Induced Epigenetic Transgenerational Inheritance of Ovarian Pathology and Granulosa Cell Epigenome and Transcriptome Alterations: Ancestral Origins of PCO and POI
  • organism-icon Rattus norvegicus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

Two of the most prevalent ovarian diseases affecting women's fertility and health are Primary Ovarian Insufficiency (POI) and Polycystic Ovarian Syndrome (PCOS). Previous studies have shown that exposure to a number of environmental toxicants can promote the epigenetic transgenerational inheritance of ovarian disease, including decreases in the primordial follicle pool of oocytes that are similar to what is seen in POI, and increases in ovarian cysts that are similar to what is seen in PCOS. In the current study, transgenerational changes to the transcriptome and epigenome of ovarian granulosa cells are characterized in F3 generation rats after ancestral vinclozolin or DDT exposures compared to controls. There was an increase in ovarian disease in transgenerational F3 generation vinclozolin and DDT lineage rats at one year of age compared to F3 generation controls. In purified granulosa cells from 20 day old F3 generation females 164 differentially methylated regions (DMRs) (p<1e-06) were found in the F3 generation vinclozolin lineage, and 293 DMRs (p<1e-06) in the DDT lineage, compared to controls. The long non-coding RNAs (lncRNAs) and small non-coding RNAs (sncRNAs) were found to be differentially expressed in both the vinclozolin and DDT lineages with the sncRNAs having 492 sncRNAs (p<1 x 10-4) in the vinclozolin lineage and 1,085 sncRNAs (p<1 x 10-4) in the DDT lineage. The lncRNAs were differentially expressed with 123 and 51 in the vinclozolin and DDT lineages, respectively (p<1 x 10-4). Differentially expressed mRNAs were found in the vinclozolin lineage at 174 mRNAs (p<1 x 10-4) and the DDT lineage at 212 mRNAs (p<1 x 10-4). These transgenerational epigenetic changes contribute to the dysregulation of the ovary and disease susceptibility that can occur in later life. This suggests that ancestral exposure to toxicants is potentially a major risk factor that must be considered in the molecular etiology of ovarian disease.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP171069
Wistar Kyoto rat stellate ganglia transcriptome
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Sympathetic hyperactivity can result from cell-autonomous changes in neurons that innervate cardiovascular target tissues. Stellate ganglia are of particular interest because the majority of sympathetic neurons innervating the heart reside there. The cardiovascular risk profiles in men and women are different. Transcriptomics provides a powerful tool for identifying genomic changes that contribute to sympathetic dysfunction in disease. Here we compared the transcriptomes of healthy stellate ganglia from adult male and female WKY rats.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line, Treatment

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accession-icon E-ATMX-3
Transcription profiling of Arabidopsis thaliana wild type and ARR7 plants to identify cytokine response genes at two different time points
  • organism-icon Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

to identify regulated genes in response to cytokinin in wild-type and 35S:ARR7 plants using the Affymetrix ATH1 full genome array.

Publication Title

Genome-wide expression profiling of ARABIDOPSIS RESPONSE REGULATOR 7(ARR7) overexpression in cytokinin response.

Sample Metadata Fields

Disease, Disease stage, Compound, Time

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accession-icon E-MEXP-1399
Transcription profiling by array of Arabidopsis lbd16, lbd18 single and lbd16 lbd18 double mutant seedlings
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Columbia (Col-0) ecotype of Arabidopsis thaliana was used as wild type. lbd16, lbd18 single and lbd16 lbd18 double mutants were used as mutants.

Publication Title

No associated publication

Sample Metadata Fields

Time

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accession-icon E-MEXP-1262
Transcription profiling by array of Arabidopsis ahk mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The experiment was designed to enable comparison between Columbia and ahk2/ahk3, ahk3/ahk4 double and ahk2/ahk3/ahk4 triple mutants Arabidopsis seedlings

Publication Title

No associated publication

Sample Metadata Fields

Age, Time

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accession-icon E-MEXP-1256
Transcription profiling of Arabidopsis plants treated with indole-3-acetic acid (IAA) or IAA plus dexamethasone
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The iaa1 mutant protein impaired a variety of auxin responses by acting as a negative regulator of auxin-responsive pathway.

Publication Title

Genome-wide analysis of the auxin-responsive transcriptome downstream of iaa1 and its expression analysis reveal the diversity and complexity of auxin-regulated gene expression.

Sample Metadata Fields

Age, Compound, Time

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accession-icon GSE13330
Senescent Stromal-Derived Osteopontin Promotes Preneoplastic Cell Growth
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Alterations in the tissue microenvironment collaborate with cell autonomous genetic changes to contribute to neoplastic progression. The importance of the microenvironment in neoplastic progression is underscored by studies demonstrating that fibroblasts isolated from a tumor stimulate the growth of preneoplastic and neoplastic cells in xenograft models. Similarly, senescent fibroblasts promote preneoplastic cell growth in vitro and in vivo. Because senescent cells accumulate with age, their presence is hypothesized to facilitate preneoplastic cell growth and tumor formation in older individuals. To identify senescent stromal factors directly responsible for stimulating preneoplastic cell growth, we carried out whole genome transcriptional profiling and compared senescent fibroblasts to their younger counterparts. We identified osteopontin (OPN) as one of the most highly elevated transcripts in senescent fibroblasts. Importantly, reduction of OPN protein levels by RNAi did not impact senescence induction in fibroblasts; however, it dramatically reduced the growth-promoting activities of senescent fibroblasts in vitro and in vivo, demonstrating that OPN is necessary for paracrine stimulation of preneoplastic cell growth. In addition, we found that recombinant OPN was sufficient to stimulate preneoplastic cell growth. Finally, we demonstrate that OPN is expressed in senescent stroma within preneoplastic lesions that arise following DMBA/TPA treatment of mice, suggesting that stromal-derived OPN-mediated signaling events impact neoplastic progression.

Publication Title

Senescent stromal-derived osteopontin promotes preneoplastic cell growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47098
Expression data during plantaris muscle hypertrophy induced by synergist ablation in young adult mice
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Global gene expression patterns were determined from microarray results on day 1, 3, 5, 7, 10 and 14 during plantaris muscle hypertrophy induced by synergist ablation in young adult mice (5 months).

Publication Title

Time course of gene expression during mouse skeletal muscle hypertrophy.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, 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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