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accession-icon GSE32209
Tumor-Derived G-CSF Facilitates Neoplastic Growth through a Granulocytic Myeloid-Derived Suppressor Cell-Dependent Mechanism
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Global gene expression studies were performed to determine whether the granulocytic-like MDSC populations from G-CSF treated mice resembled those of tumor-bearing (TB) mice more so than those of the non-tumor-bearing control (i.e., WT) at a molecular level.

Publication Title

Tumor-derived G-CSF facilitates neoplastic growth through a granulocytic myeloid-derived suppressor cell-dependent mechanism.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE29281
Single Cell based genomewide gene expression analysis of murine bone-marrow derived Very Small Embryonic-Like Stem Cells (VSELs)
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Recently, we identified a population of Oct4+Sca-1+Lin-CD45- very small embryonic-like stem-cells (VSELs) in adult tissues. Open chromatin structure of pluripotency genes and genomic imprinting-related epigenetic mechanisms maintain pluripotency and quiescence of VSELs, respectively. However, global transcriptome signature of this rare stem-cell population remains elusive. Here, we demonstrate by genomewide gene-expression analysis with a small number of highly purified murine bone-marrow (BM)-derived VSELs, that Oct4+ VSELs i) express a similar, yet nonidentical, transcriptome as embryonic stem-cells (ESCs), ii) up-regulate cell-cycle checkpoint genes, iii) down-regulate genes involved in protein turnover and mitogenic pathways, and iv) highly express Ezh2, a polycomb group protein.

Publication Title

Global gene expression analysis of very small embryonic-like stem cells reveals that the Ezh2-dependent bivalent domain mechanism contributes to their pluripotent state.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon GSE97306
Differential miRNA and mRNA Expression in Immortalized Human Keratinocytes (HaCaT) after Low Arsenic Exposure
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene Expression Array (primeview)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differentially Expressed mRNA Targets of Differentially Expressed miRNAs Predict Changes in the TP53 Axis and Carcinogenesis-Related Pathways in Human Keratinocytes Chronically Exposed to Arsenic.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE20636
Expression data from OVE26 diabetic mouse kidney
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

OVE26 mouse was chosen to study the progressive changes in renal gene expression because it displays the most advanced albuminuria mouse models that assembles advanced human diabetic nephropathy.

Publication Title

Inflammatory gene expression in OVE26 diabetic kidney during the development of nephropathy.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE43081
Expression data from sentinel lymph node RNA of stage III melanoma patients
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify a panel of Seninel Lymph Node (SLN) genes to aid in risk stratification of patients with tumor-positive SLN, total SLN RNA from 97 SLN-positive melanoma patients were chosen from the Sunbelt Melanoma Trial. Microarray experiments were performed to screen SLN genes in recurrence (=39) versus non-recurrence (=58) group. We identified 20 differentially expressed SLN genes in the recurrence vs. the non-recurrence group.

Publication Title

Sentinel Lymph Node Genes to Predict Prognosis in Node-Positive Melanoma Patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE35389
Expression data from normal melanocyte, melanoma cells and their exosomes
  • organism-icon Homo sapiens
  • sample-icon 7 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

Identifying mRNA, microRNA and protein profiles of melanoma exosomes.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE35388
Expression data from normal melanocyte, melanoma cells and their exosomes (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exosomes are small membraneous vesicles secreted into body fluids by tumors. Tumor exosomes contain intact and functional mRNAs, small RNAs (including miRNAs), and proteins that can alter the cellular environment to favor tumor growth. Further exploration into the molecular profiling of exosomes may increase our understanding of their roles in melanoma progression in vivo, and may have potential application in biomarker studies. In the present study, we used mRNA array profiling to identify thousands of exosomal mRNAs associated with melanoma progression and metastasis. Similarly, miRNA array profiling identified specific miRNAs, such as hsa-miR-31, -185, and -34b, involved in melanoma invasion. Our results indicate that melanoma-derived exosomes have unique gene expression signatures and miRNA profiles that may have important functions in melanoma metastasis and progression.

Publication Title

Identifying mRNA, microRNA and protein profiles of melanoma exosomes.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE64375
Immediate Transcriptional Changes in Response to High Dose Radiation Exposure
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent biomarkers are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using Affymetrix GeneChip Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.

Publication Title

Transcriptional profile of immediate response to ionizing radiation exposure.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE102975
Circulating adipose fatty acid binding protein promotes obesity associated breast cancer development
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

It is still unclear that how obesity increases the risk of breast cancer. To address this question, we used mRNA microarrays to characterize mouse breast tumor EO771 cells treated with mouse recombinant A-FABP protein and compared the data from their controls.

Publication Title

Circulating Adipose Fatty Acid Binding Protein Is a New Link Underlying Obesity-Associated Breast/Mammary Tumor Development.

Sample Metadata Fields

Cell line

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accession-icon GSE54219
Molecular genomic and transcriptomic profiling of familial breast cancer.
  • organism-icon Homo sapiens
  • sample-icon 155 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

Genomic profiling of CHEK2*1100delC-mutated breast carcinomas.

Sample Metadata Fields

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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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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