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accession-icon SRP002218
Identification of ploidy-regulated genes in budding yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Using RNA-seq, we analyzed the transcriptomes of isogenic haploid (MATa) and tetraploid (MATaaaa) budding yeast strains in the Sigma 1278b background and identified genes whose regulation was altered by ploidy. Overall design: Analysis of poly(A)+ RNA from 2 biological replicates of haploid (MATa) and tetraploid (MATaaaa) strains.

Publication Title

Control of transcription by cell size.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE53123
Expression data from MOLT-4 and CCRF-CEM cells grown in serum free medium, untreated, treated with direct (A-769662) and indirect (AICAR) AMPK activators.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Two human acute lymphoblastic leukemia cell lines (Molt-4 and CCRF-CEM) were treated with direct (A-769662) and indirect (AICAR) AMPK activators. Molt-4 and CCRF-CEM cells were obtained from ATCC (CRL-1582 and CCL-119). Control samples were used for the analysis of metabolic differences between cell lines. Therefore the data was analyzed in combination with, metabolomic data, and the genome-scale reconstruction of human metabolism. For experiments cells were grown in serum-free medium containing DMSO (0.67%) at a cell concentration of 5 x 105 cells/mL.

Publication Title

Prediction of intracellular metabolic states from extracellular metabolomic data.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE13684
High-Resolution DNA Binding Specificity Analysis of Yeast Transcription Factors
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We used microarrays to detail the global program of gene expression underlying rRNA processing gene regulation during heat shock. PBF1 is YBL054W (TOD6) and PBF2 is YER088C (DOT6).

Publication Title

High-resolution DNA-binding specificity analysis of yeast transcription factors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20935
Gene expression in NKR-P1B+ versus Ly49s3+ rat NK cells
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Two major subsets of rat natural killer (NK) cells can be distinguished based on their expression of either the Ly49s3 or the NKR-P1B lectin-like receptor. Ly49s3+ NK cells, but not NKR-P1B+ NK cells, express a wide range of Ly49 receptors.

Publication Title

Two complementary rat NK cell subsets, Ly49s3+ and NKR-P1B+, differ in phenotypic characteristics and responsiveness to cytokines.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE42715
Expression data from open bariatric surgery patients - various adipose samples
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Diabetes and obesity are widespread diseases with signifciant socioeconomic implications. We used three different types of human adipose tissue (epigastric, visceral, and subcutaneous) in order to determine differences in global gene expression between these adipose depots in severely obese patients.

Publication Title

Gene expression profiling in subcutaneous, visceral and epigastric adipose tissues of patients with extreme obesity.

Sample Metadata Fields

Specimen part, Race

View Samples
accession-icon SRP063837
Genome-wide analysis of 6 month old hippocampal gene expression in Ogg1- and/or Mutyh-deficent mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Oxidative DNA damage has been associated with cognitive decline. The Ogg1 and Mutyh DNA glycosylases cooperate to prevent mutations caused by 8-oxoG, a major premutagenic oxidative DNA base lesion. Here, we have examined behavior and cognitive function in mice deficient of these glycosylases. We found that Ogg1-/-Mutyh-/- mice were more active and less anxious and that their learning ability was impaired. In contrast, Mutyh-/- mice showed moderately improved memory compared to WT. There was no change in genomic 8-oxoG levels, suggesting that Ogg1 and Mutyh play minor roles in global repair in adult brain. Notably, transcriptome analysis of hippocampus revealed that differentially expressed genes in the mutant mice belong to pathways known to be involved in anxiety and cognitive function. Thus, beyond their involvement in DNA repair, Ogg1 and Mutyh modulate cognitive function and behavior, and related hippocampal gene expression, suggesting a novel role for 8-oxoG in regulating adaptive behavior. Overall design: The mRNA profiles from hippocampus of WT, Ogg1-/-, Mutyh-/- and Ogg1-/- Mutyh-/- C57BL/6 mice at 6month of age were generated by RNA sequencing using Illumina Hiseq 2000

Publication Title

Synergistic Actions of Ogg1 and Mutyh DNA Glycosylases Modulate Anxiety-like Behavior in Mice.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE65013
Cell cloning of Barrett's esophagus stem cell, gastric cardia stem cells and normal esophagus stem cells
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Barretts esophagus confers significant risk of esophageal adenocarcinoma. We have established the cloning of patient-matched stem cells of Barretts, gastric, and esophageal epithelium. Barrett's esophagus stem cells (BE), gastric cardia stem cells (GC) and normal esophagus stem cells (Eso) from 12 patients were cloned (For BE: 12 patients, GC: 12 patients and Eso: 2 patients). Keratin 5 positive and Keratin 7 positive cells were cloned from human fetal esophageal epithelium. Using air liquid interface culture system, stem cells were induced to differentiate into mature epithelial structures.

Publication Title

Mutational spectrum of Barrett's stem cells suggests paths to initiation of a precancerous lesion.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE64894
Transformation of Barrett's esophagus stem cell, gastric cardia stem cells and normal esophagus stem cells
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Barretts esophagus confers significant risk of esophageal adenocarcinoma. We have established the cloning of patient-matched stem cells of Barretts, gastric, and esophageal epithelium. Transplantation of transformed Barretts stem cells yielded tumors with hallmarks of esophageal adenocarcinoma, whereas transformed esophageal stem cells produced squamous cell carcinomas. These findings define a stem cell target in a precancerous lesion for preemptive therapies.

Publication Title

Mutational spectrum of Barrett's stem cells suggests paths to initiation of a precancerous lesion.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE49292
Cloning Barretts esophagus stem cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Barretts esophagus is a precancerous lesion that confers a significant risk of esophageal adenocarcinoma. Strategies for selective eradication of Barretts have been stymied by our inability to identify the Barretts stem cell. Here we employ novel technologies to clone patient-matched stem cells of Barretts, gastric, and esophageal epithelium. Genomic analyses of Barretts stem cells reveal a patient-specific mutational spectrum ranging from low somatic variation similar to patient-matched gastric epithelial stem cells to ones marked by extensive heterozygous alteration of genes implicated in tumor suppression, epithelial planarity, and epigenetic regulation. Transplantation of transformed Barretts stem cells yields tumors with hallmarks of esophageal adenocarcinoma, whereas transformed esophageal stem cells yield squamous cell carcinomas. Thus Barretts develops from cells distinct from local eponymous epithelia, emerges without obvious driver mutations, and likely progresses through and from the generation of dominant clones. These findings define a stem cell target for preemptive therapies of a precancerous lesion.

Publication Title

Mutational spectrum of Barrett's stem cells suggests paths to initiation of a precancerous lesion.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE5404
Expression data from Drosophila subjected to artificial selection on aggression
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Genes relevant to manifestion of and variation in aggression behavior might be differentially expressed in lines selected for divergent levels of aggression.

Publication Title

Quantitative genomics of aggressive behavior in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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