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accession-icon SRP199923
Global gene expression profile of human peripheral blood-derived endothelial colony-forming cells is similar to coronary artery and umbilical vein endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed a transcriptome-wide study to compare gene expression profiles of ECFC, human coronary artery endothelial cells (HCAEC) and human umbilical vein endothelial cells (HUVEC) utilising subcutaneous adipose tissue-derived stromal vascular fraction (SAT-SVF) as a negative control population. Baseline gene expression in ECFC fully corresponds to their endothelial specification and may contribute to the basement membrane organisation, fulfilling the requirements for the suitable cell population for in vitro pre-endothelialisation of tubular scaffolds. Overall design: Comparison of gene expression in 4 cell types by Hiseq sequencing.

Publication Title

Human Peripheral Blood-Derived Endothelial Colony-Forming Cells Are Highly Similar to Mature Vascular Endothelial Cells yet Demonstrate a Transitional Transcriptomic Signature.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45544
Ewing sarcoma compared to a normal body map
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Primary pediatric Ewing sarcoma (ES), one uncharacterized sarcoma as well as primary and well established ES cell lines were compared to probes of different normal tissues

Publication Title

Distinct transcriptional signature and immunoprofile of CIC-DUX4 fusion-positive round cell tumors compared to EWSR1-rearranged Ewing sarcomas: further evidence toward distinct pathologic entities.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP075490
RNA-Seq experiments performed on rat Schwann (S16) cells
  • organism-icon Rattus norvegicus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We utilized RNA-Seq on rat Schwann (S16) cells to determine global gene expression. This information was generated as part of a larger effort to characterize cis-regulatory elements and global gene expression within Schwann cells. To achieve this, we generated RPKM values across two independent biological replicates. This dataset was also used to predict cis-regulatory element function on genes following CRISPR knockout studies. Overall design: Performed two technical replicates of RNA-Seq on two independent biological replicates of S16 cells

Publication Title

A genome-wide assessment of conserved SNP alleles reveals a panel of regulatory SNPs relevant to the peripheral nerve.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7638
Expression data from monocytes of individuals with different collateral flow index CFI
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

using peripheral blood monocytes to identify marker genes for an extensively grown coronary collateral circulation.

Publication Title

Non-invasive gene-expression-based detection of well-developed collateral function in individuals with and without coronary artery disease.

Sample Metadata Fields

Sex, Age

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accession-icon GSE30929
Whole-transcript expression data for liposarcoma
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

Publication Title

Expression profiling of liposarcoma yields a multigene predictor of patient outcome and identifies genes that contribute to liposarcomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE22852
Gastrointestinal stromal tumor GIST: gene expresssion and ChIP analyses
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE19396
ETV1 knockdown in GIST cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

ETV1 is highly expressed in GIST cells and required for their survival and growth. To identify genes and pathways regulated by ETV1 in GIST, we performed expression profiles of GIST cells after ETV1 knockdown.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22433
Imatinib Treatment of GIST882
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Gastrointestinal Stromal Tumor frequently harbor mutations in the KIT receptor tyrosine kinase and depend on its activity for growth. This underlies the efficacy of imatinib, a inhibitor of KIT activity, in GIST management. GIST882 is a patient derived GIST cell line that harbor a K640E exon 13 KIT mutation and is sensitive to imatinib treatment. To analyze the downstream effect of KIT inhibition, GIST882 cells were treated for 8 hours with 1M Imatinib.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Cell line

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accession-icon GSE39420
Gene expression profile of sporadic and PSEN1 early-onset Alzheimers Disease
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Alzheimers disease (AD) is the most common neurodegenerative dementia. Around 10% of cases present an age of onset before 65 years-old, which in turn can be divided in monogenic or familial AD (FAD) and sporadic early-onset AD (EOAD). Mutations in PSEN1, PSEN2 and APP genes have been linked with FAD. The aim of our study was to describe the brain whole-genome RNA expression profile of the posterior cingulate area in EOAD and FAD caused by PSEN1 mutations (FAD-PSEN1). 14 patients (7 EOAD and 7 FAD-PSEN1) and 7 neurologically healthy controls were selected and samples were hybridized in a Human Gene 1.1 microarray from Affymetrix. When comparing controls with EOAD and controls with FAD-PSEN1, we found 3183 and 3351 differentially expressed genes (DEG) respectively (FDR corrected p<0.05). However, any DEG was found in the comparison of the two groups of patients. Microarrays were validated through quantitative-PCR of 17 DEG. In silico analysis of the DEG revealed an alteration in biological pathways related to calcium-signaling, axon guidance and long-term potentiation (LTP), among others, in both groups of patients. These pathways are mainly related with cell signalling cascades, synaptic plasticity and learning and memory processes. In conclusion, the altered biological final pathways in EOAD and FAD-PSEN1 are highly coincident. Also, the findings are in line with those previously reported for late-onset AD (LOAD, onset >65 years-old), which implies that the consequences of the disease at the molecular level are similar in the final stages of the disease.

Publication Title

A preliminary study of the whole-genome expression profile of sporadic and monogenic early-onset Alzheimer's disease.

Sample Metadata Fields

Sex

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accession-icon GSE20174
Mouse Lung Response to Stainless Steel and Mild Steel Welding Fume
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina mouseRef-8 v1.1 expression beadchip

Description

A/J mice are genetically predisposed to spontaneous and/or chemically-induced lung tumors while C57BL/6J (B6) mice are resistant. This genetic disparity provides a unique scenario to identify molecular mechanisms associated with the lung response to welding fume at the transcriptome level.

Publication Title

Response of the mouse lung transcriptome to welding fume: effects of stainless and mild steel fumes on lung gene expression in A/J and C57BL/6J mice.

Sample Metadata Fields

Treatment

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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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