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accession-icon GSE29672
The transcription factors Snail and Slug activate the TGF-B signaling pathway in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling to determine transcriptome changes following Snail or Slug expression in MCF-7 breast cancer cells

Publication Title

The transcription factors Snail and Slug activate the transforming growth factor-beta signaling pathway in breast cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE17542
VTA neurons show an adaptive transcriptional response to MPTP which differs from SN neurons
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Implications for neuroprotection in Parkinson's disease

Publication Title

VTA neurons show a potentially protective transcriptional response to MPTP.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE53016
Microarray Analysis of myb80 versus Wild-Type Anthers
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis thaliana MYB80 (formerly MYB103) is expressed in the tapetum and microspores between anther developmental stages 6 and 10. MYB80 encodes a MYB transcription factor that is essential for tapetal and pollen development. In order to identify the genes regulated by MYB80, microarray technology was employed to analyze the expression levels of genes that were differentially regulated in the myb80 mutant and wild- type anthers.

Publication Title

The MYB80 transcription factor is required for pollen development and the regulation of tapetal programmed cell death in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part

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accession-icon GSE26525
Expression data analyzed with LPIA in A549 lung carcinoma cells treated with geldanamycin.
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The statsitcal model, latent pathway identification analysis (LPIA), was implemented for the analysis of A549 lung carcinoma cells treated with geldanamycin. Control and treated samples were assayed with Affymetrix HG_U133_plus_2 arrays and analyzed using LPIA. LPIA looks for statistically signcant evidence of dysregulation in a network of pathways constructed in a manner that explicitly links pathways through their common function in the cell. Geldanamycin (geld) is known to inhibit the molecular chaperone protein, Hsp90, and plays a role in preventing the malignant transformation and proliferation of healthy cells during oncogenesis. LPIA successfully identified pathways specific to geldanamycin effects at the gene transcription level.

Publication Title

Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE148210
Microarray Analysis of ttg1 versus Wild-Type Developing Seeds
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

MYB-bHLH-TTG1 regulates Arabidopsis seed coat biosynthesis pathways directly and indirectly via multiple tiers of transcription factors

Publication Title

MYB-bHLH-TTG1 Regulates Arabidopsis Seed Coat Biosynthesis Pathways Directly and Indirectly via Multiple Tiers of Transcription Factors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8166
Transcriptome Profile of the Vascular Endothelial Cell Response to Candida albicans
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We perform microarray analysis of HUVECs upon stimulation with virulent wildtype C. albicans strain SC5314 or its efg1/efg1 cph1/cph1 hyphal-deficient derivative strain CAN34 to compare the gene expression profiles elicited from HUVECs in response to these strains. In addition, these responses are compared to that of TNF-alpha induced responses to determine which responses are Candida-specific.

Publication Title

Transcriptome profile of the vascular endothelial cell response to Candida albicans.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP043684
Hyper-excitability of Neurons generated from Patients with Bipolar Disorder
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Bipolar Disorder (BD) is a complex neuropsychiatric disorder that is characterized by intermittent episodes of mania and depression and, without treatment, 15% of patients commit suicide1. Hence, among all diseases, BD has been ranked by the WHO as a top disorder of morbidity and lost productivity2. Previous neuropathological studies have revealed a series of alterations in the brains of BD patients or animal models3, such as reduced glial cell number in the patient prefrontal cortex4, up-regulated activities of the PKA/PKC pathways5-7, and changes in dopamine/5-HT/glutamate neurotransmission systems8-11. However, the roles and causation of these changes in BD are too complex to exactly determine the pathology of the disease; none of the current BD animal models can recapitulate both the manic and depressive phenotypes or spontaneous cycling of BD simultaneously12,13. Furthermore, while some patients show remarkable improvement with lithium treatment, for yet unknown reasons, other patients are refractory to lithium treatment. Therefore, developing an accurate and powerful biological model has been a challenge for research into BD. The development of induced pluripotent stem cell (iPSC) technology has provided such a new approach. Here, we developed a human BD iPSC model and investigated the cellular phenotypes of hippocampal dentate gyrus neurons derived from the patient iPSCs. Using patch clamp recording, somatic Ca2+ imaging and RNA-seq techniques, we found that the neurons derived from BD patients exhibited hyperactive action potential (AP) firing, up-regulated expression of PKA/PKC/AP and mitochondria-related genes. Moreover, lithium selectively reversed these alterations in the neurons of patients who responded to lithium treatment. Therefore, hyper-excitability is one endophenotype of BD that is probably achieved through enhancement in the PKA/PKC and Na+ channel signaling systems, and our BD iPSC model can be used to develop new therapies and drugs aimed at clinical treatment of this disease. Overall design: total RNAseq from neurons generated from BD patient-specific iPS cells

Publication Title

Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8880
Analyzing microarray data with transitive directed acyclic graphs
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Test compound one, 5,6-benzoflavone (BNF), was known to act through both the Ah receptor and Nrf2 receptor pathways, while test compounds two and three, 3H-1,2-dithiole-3-thione (D3T) and 4-methyl-5-pyrazinyl-3H-1,2-dithiole-3-thione (OLT), were known to act through the Nrf2 receptor pathway. Furthermore, D3T is known to be more potent and efficacious than OLT for Nrf2 activation. OLT has been shown to exhibit 20-50% of the efficacy of D3T for inhibition of alfatoxin-induced heptic foci. Nonetheless, because OLT is an approved drug, it is currently being evaluated in human phase II intervention trials of biomarkers of alfatoxin-related hepatocellular carcinoma. More recently, BNF was shown to be an effective chemopreventive agent in the rat mammary carcinogen model, inhibiting 7,12-dimethylbenz(a)anthracene DNA adduct formation in liver and mammary cells by 96 and 83% respectively.

Publication Title

Analyzing microarray data with transitive directed acyclic graphs.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP076104
The DPYSL2 gene connects mTOR and schizophrenia
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report a transcriptome comparison of HEK293 cells modified at the DPYSL2 gene promoter dinucleotide repeat (chr8:26,435,510-26,435,534) by CRISPR/Cas9 to change from the common 11 repeats to the more rare 13 repeats Overall design: 11/11 repeat HEK 293 cells were modified by CRISPR/Cas 9. Cell were flow sorted by the co-transfected GFP and single cells were expanded. From those we selected 4 modified and 8 unmodified clones for RNA seq. RNA was extracted at 80% confluency

Publication Title

The DPYSL2 gene connects mTOR and schizophrenia.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE23361
Significant Downregulation of Platelet Gene Expression in Metastatic Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Platelets have multiple roles in cancer cell metastasis. In this work we employed exon microarray technology to address platelet gene expression in metastatic non small cell lung cancer versus controls without cancer. We found that 197 of the 200 genes with the most significantly altered expression levels had their expression levels downregulated.

Publication Title

Significant downregulation of platelet gene expression in metastatic lung cancer.

Sample Metadata Fields

Disease, Disease stage

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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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Developed by the Childhood Cancer Data Lab

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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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