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accession-icon GSE89659
The gene expression profiles of P4N treated THP-1 cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of P4N treated THP-1 cells at gene expression level. The hypothesis in the present study was that low dose P4N influence the activation of monocyte. Results provide important information of the response of monocyte activation, such as cytokine genes and growth factors genes.

Publication Title

In vivo amelioration of endogenous antitumor autoantibodies via low-dose P4N through the LTA4H/activin A/BAFF pathway.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE66603
let-7 controls cancer stemness through ARID3B
  • organism-icon Homo sapiens
  • sample-icon 2 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

let-7 Modulates Chromatin Configuration and Target Gene Repression through Regulation of the ARID3B Complex.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE65789
Gene expression profile of OECM1 overexpression let-7i
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression of let-7i results in transcriptome alteractions in head and neck cancer cell line, OECM1.

Publication Title

let-7 Modulates Chromatin Configuration and Target Gene Repression through Regulation of the ARID3B Complex.

Sample Metadata Fields

Cell line

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accession-icon GSE86594
Gene expression-based, individualized outcome prediction for RUNX1T1 Knock-down treated ECFCs
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Individualized outcome prediction classifiers were successfully constructed through expression profiling of RUNX1T1 mediated.

Publication Title

Endothelial angiogenesis is directed by RUNX1T1-regulated VEGFA, BMP4 and TGF-β2 expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE48022
Gene expression patterns of mesenchymal stem cells from bone marrow and Wharton's jelly of umbilical cord
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mesenchymal stem cells (MSCs) are promising tools for the treatment of diseases such as infarcted myocardia and strokes because of their ability to promote endogenous angiogenesis and neurogenesis via a variety of secreted factors. MSCs found in the Wharton's jelly of the human umbilical cord are easily obtained and are capable of transplantation without rejection. We isolated MSCs from Whartons jelly and bone marrow (WJ-MSCs and BM-MSCs, respectively) and compared their transcriptional profiles.

Publication Title

Mesenchymal stem cells from human umbilical cord express preferentially secreted factors related to neuroprotection, neurogenesis, and angiogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE37046
Combined microRNA/mRNA transcriptome analysis reveals angiogenic microRNAs-genes pathway of human late endothelial precursor cells.
  • organism-icon Homo sapiens
  • sample-icon 5 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

Deficiency of the microRNA-31-microRNA-720 pathway in the plasma and endothelial progenitor cells from patients with coronary artery disease.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE37045
Gene expression patterns of distinct human endothelial precursor cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Early EPCs (eEPCs) appear at less than 1 week in culture dishes, whereas late EPCs (LEPCs) appear late at 2-4 weeks. Distinct angiogenic properties between these two EPC subpopulations have been disclosed by the angiogenesis assay: late EPCs, but not eEPCs, form vascular networks de novo and are able to incorporate into vascular networks. On the contrary, eEPCs, but not late ones, indirectly augment tubulogenesis even when physically separated by a Transwell membrane, implying the involvement of a cytokine-based paracrine mechanism.

Publication Title

Deficiency of the microRNA-31-microRNA-720 pathway in the plasma and endothelial progenitor cells from patients with coronary artery disease.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE37044
mRNA expression profiles in far-infrared treated human endothelial precursor cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

High glucose impairs the angiogenic activities of late endothelial precursor cells (EPC). We found that far infrared (FIR) treatment restored partially the activity of late EPC. However, the mechanisms are unclear. We performed gene expression microarray analysis to assess the expression profiles of high glucose-treated late EPC with or without FIR treatment.

Publication Title

Deficiency of the microRNA-31-microRNA-720 pathway in the plasma and endothelial progenitor cells from patients with coronary artery disease.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP150657
Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture. However, transcriptomic analysis of bulk skin tends to drown out expression signals from relatively rare cells while cell culture methods may significantly alter cellular phenotypes and gene expression profiles. To identify distinct transcriptomic profiles of multiple cell populations without substantially altering cell phenotypes, we employed a fluorescence activated cell sorting method to isolate keratinocytes, dendritic cells, CD4+ T effector cells, CD4+ Treg cells, and CD8+ T effector cells from healthy skin samples, followed by RNA-seq of each cell population. Principal components analysis revealed distinct clustering of cell types across samples, while differential expression and coexpression network analyses revealed transcriptional profiles of individual cell populations distinct from bulk skin, most strikingly in the least abundant CD8+ T effector population. Our work provides a high resolution view of cutaneous cellular gene expression and suggests that transcriptomic profiling of bulk skin may inadequately capture the contribution of less abundant cell types. Overall design: Transcriptomic profiles from keratinocyte, dendritic cell, CD4+ T cell, CD4+ Treg cells, and CD8+ T cell populations were obtained from surgical skin discards from 11 healthy adults. Cell populations from whole skin were sorted via FACS and transcripts generated using an Illumina HiSeq 2500 platform. RNA-seq data for the bulk control samples were originally deposited in GEO study GSE74697.

Publication Title

Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE6222
Genome-wide analysis of gene expression patterns in human liver cancers
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate the mechanisms of liver cancer progression and metastasis, we did expression profiling of human liver cancer and benign tissues.

Publication Title

Identification of SOX4 target genes using phylogenetic footprinting-based prediction from expression microarrays suggests that overexpression of SOX4 potentiates metastasis in hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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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)

fund-icon Fund the CCDL

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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