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accession-icon GSE56951
Regulation of gene expression by Set-beta in rat retinal ganglion cells
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

The goal of this experiment was to investigate the molecular mechanism of how Set-beta regulates neurite growth. Set-betas subcellular localization is regulated by posttranslational modifications. We found that Set-beta suppresses neurite growth of purified postnatal rat retinal ganglion cell (RGC) primary neurons when it is overexpressed in the nucleus, whereas recruiting Set-beta to cellular membrane by fusing myr-tag to its N-terminus promotes neurite growth. Here, we transfected purified by immunopanning postnatal rat RGC with wild-type Set-beta which localizes to the nucleus, myr-Set-beta which is recruited to cellular membranes, and mCherry control, and analyzed with microarrays Set-betas subcellular localization-dependent effects on gene expression. We found that wild-type Set- regulated expression of significantly more genes than myr-Set-, consistent with wild-type Set-s nuclear localization and previously described roles in regulating transcription. These data reveal potential downstream gene effectors regulating neurite growth, and specific candidate genes could be validated and tested in future experiments.

Publication Title

Regulating Set-β's Subcellular Localization Toggles Its Function between Inhibiting and Promoting Axon Growth and Regeneration.

Sample Metadata Fields

Specimen part

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accession-icon GSE109733
Expression data from MCF-7 breast cancer cells grown in 2D and 3D
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We used a microarray to examine the global gene expression profile of MCF7 cells grown in 2D and 3D culture conditions. Our goal was to identify changes in the expression of genes that regulate iron metabolism when cellular spatial organization was altered.

Publication Title

Contribution of three-dimensional architecture and tumor-associated fibroblasts to hepcidin regulation in breast cancer.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon GSE11798
Effects of Prenatal Tobacco Exposure on Gene Expression Profiling in Umbilical Cord Tissue
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Maternal smoking doubles the risk of delivering a low birth weight infant. The purpose of this study was to analyze differential gene expression in umbilical cord tissue as a function of maternal smoking, with an emphasis on growth-related genes. We recruited 15 pregnant smokers and 15 women who never smoked during pregnancy to participate RNA was isolated from umbilical cord tissue collected and snap frozen at the time of delivery. Microarray analysis was performed using the Affymetrix GeneChip Scanner 3000.Six hundred seventy-eight probes corresponding to 545 genes were differentially expressed (i.e., an intensity ratio that exceeded +/-1.3 and a corrected significance value p < 0.005) in tissue obtained from smokers versus nonsmokers. Genes important for fetal growth, angiogenesis, or development of connective tissue matrix were up-regulated among smokers. The most highly up-regulated gene was CSH1, a somatomammotropin gene. Two other somatomammotropin genes (CSH2 and CSH-L1) were also up-regulated. The most highly down-regulated gene was APOBEC3A; other down-regulated genes included those that may be important in immune and barrier protection. PCR validation of the three somatomammotropin genes showed a high correlation between qPCR and microarray expression. Consequently, maternal smoking may be associated with altered gene expression in the offspring.

Publication Title

Effects of prenatal tobacco exposure on gene expression profiling in umbilical cord tissue.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72791
Examination of IL-12 and IL-33 or IL-12 + IL-33 induced mRNA in effector CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to detail the global program of gene expression in cytokine stimulated effector CD8 T cells.

Publication Title

Costimulation Endows Immunotherapeutic CD8 T Cells with IL-36 Responsiveness during Aerobic Glycolysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE109826
Expression data from developing zebrafish embryos treated with pesticides and 11-ketotestosterone
  • organism-icon Danio rerio
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

During critical periods the developing organism is particularly sensitive to exposure to bioactive environmental contaminants. Our objective was to test p,p-DDE and dieldrin in a zebrafish whole embryo model in order to identify potential endocrine disrupting activity during development.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP178159
Clinical study of human mesenchymal stem cells on the treatment of severe liver disease
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

we aimed to explore the potential therapeutic effects of human mesenchymal stem cell on severe liver disease

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP131607
Compare RNA expression of Old Fibroblast to RNA expression of Young Fbroblast
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Analyze of RNA expression of Old Fibroblast and Young Fibroblast. Compare RNA expression of Old Fibroblast to RNA expression of Young Fbroblast

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP131659
Compare RNA expression of UVA fibroblast to sham fibroblast
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

we analysis of sham fibroblast and UVA fibroblast RNA expression using RNA sequencing and compare RNA expression.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP188485
miR-25 knock out mice kidney RNA sequencing
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We generate miR-25 KO mice by Cas-9 technology, and run 5 month kidney RNA sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP129355
Gene expression change affected by Sirt1 depletion and ionizing radiation in adult neural stem cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Adult neural stem cells derived from wild type and Sirt1 conditional knockout mice were treated with or without X-ray, the total RNA extracted from these cells were used for RNA sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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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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