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accession-icon GSE64555
Microarray gene expression analysis of FFPE tissue permits molecular classification in diffuse large B-cell lymphoma.
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Refractory/relapsed diffuse large B-cell lymphoma (DLBCL) has a poor prognosis. Novel drugs targeting the constitutively activated NF- B pathway characteristic of ABC-DLBCL are promising, but evaluation depends on accurate activated B cell-like (ABC)/germinal center B cell-like (GCB) molecular classification. This is traditionally performed on gene microarray expression profiles of fresh biopsies, which are not routinely collected, or by immunohistochemistry on formalin-fixed, paraffin-embedded (FFPE) tissue, which lacks reproducibility and classification accuracy. We explored the possibility of using routine archival FFPE tissue for gene microarray applications.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE110693
Expression data from Human Pre-implantation embryos
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Little is understood of the molecular mechanisms involved in the earliest cell fate decision in human development, leading to the establishment of the preimplantation embryos outer trophectoderm (TE) layer, involved in implantation, while maintaining the inner cell mass (ICM) stem cell population.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE51370
Investigation of radiosensitivity gene signatures in cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Commercially available cell lines derived from Head and Neck Squamous cell carcinoma (HNSCC) were cultured and baseline gene expression values were assayed.

Publication Title

Investigation of radiosensitivity gene signatures in cancer cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18300
Hypoxia related splice variants in HNSCC
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The identifcation of alternatively spliced transcript variants specific to particular biological processes in tumours should increase our understanding of cancer. Hypoxia is an important factor in cancer biology and associated splice variants may present new markers to help with planning treatment. A method was developed to analyse alternative splicing in exon array data, using probeset multiplicity to identify genes with changes in expression across their loci, and a combination of the splicing index and a new metric based on the variation of reliability weighted fold changes to detect changes in the splicing patterns. The approach was validated on a cancer/normal sample dataset in which alternative splicing events had been confirmed using RT-PCR. We then analysed ten head and neck squamous cell carcinomas using exon arrays and identified differentially expressed splice variants in five samples with high versus five with low levels of hypoxia-associated genes (Winter et al, 2007; Cancer Res 67:3441-9). The analysis identified a splice variant of LAMA3 (Laminin 3), LAMA3-A, known to be involved in tumour cell invasion and progression. The full-length transcript of the gene (LAMA3-B) did not appear to be hypoxia-associated. The results were confirmed using qualitative real time PCR. In a series of 59 prospectively-collected head and neck tumours (Winter et al, 2007; Cancer Res 67:3441-9), expression of LAMA3-A had prognostic significance whereas LAMA3-B did not. This work illustrates the potential for alternatively spliced transcripts to act as biomarkers of disease prognosis with improved specificity for particular tissues or conditions over assays which do not discriminate between splice variants.

Publication Title

Exon array analysis of head and neck cancers identifies a hypoxia related splice variant of LAMA3 associated with a poor prognosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34873
Experimental identification of miR-378-3p targets by overexpression and silencing in murine NIH-3T3 fibroblasts
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

MicroRNAs (miRNAs) are short noncoding RNA molecules regulating the expression of mRNAs. Target identification of miRNAs is computationally difficult due to the relatively low homology between miRNAs and their targets. We provide data here utilizing an experimental approach to identify targets of mmu-miR-378-3p, where mmu-miR-378-3p was overexpressed and silenced in NIH-3T3 murine fibroblasts and compared to control RNA transfected cells (RISC-free siRNA). Expression of mRNAs was profiled and differentially expressed genes following either treatment as compared to control transfected cells were identified. In this way we identified 491 significantly differentially expressed genes with more than 1.4 fold change in either comparison. One of the putative targets Akt-1 was subsequently confirmed by luciferase reporter assay.

Publication Title

Induction of IL-4Rα-dependent microRNAs identifies PI3K/Akt signaling as essential for IL-4-driven murine macrophage proliferation in vivo.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE48876
Expression data from human acute lymphoblastic leukemia cell line SupB15 and its drug resistant subpopulations SupB15-MR
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SupB15 cells are highly sensitive to Mitoxantrone treatment. To obtain drug resistant subpopulations, SupB15 cells were incubated in normal medium or BMSC derived conditioned medium, treated with 10nM of Mitoxantrone for 6 days. SupB15 cells in normal medium could not survive. a small population of SupB15 cells in conditioned medium group survived the treatment and ecpanded, termed as SupB15-MR.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon E-MEXP-3567
Transcription profiling by array of children blood with serious bacterial infections
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We aimed to discover a combination of reliable and functionally important biomarkers of severe bacterial infection (SBI) using transcriptomics, and to evaluate their clinical validity.

Publication Title

Novel biomarker combination improves the diagnosis of serious bacterial infections in Malawian children.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE26169
Expression data for Saccharomyces cerevisiae oxidative stress response
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 210 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Oxidative stress is a harmful condition in a cell, tissue, or organ, caused by an imbalnace between reactive oxygen species and other oxidants and the capacity of antioxidant defense systems to remove them. The budding yeast S. cerevisiae has been the major eukaryotic model for studies of response to oxidative stress.

Publication Title

No associated publication

Sample Metadata Fields

Time

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accession-icon GSE72439
Effect of summer daylight exposure and genetic background on growth in growth hormone deficient children
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The response to growth hormone in humans is dependent on phenotypic, genetic and environmental factors. The present study in children with growth hormone deficiency (GHD) collected worldwide characterised gene-environment interactions on growth response to recombinant human growth hormone (r-hGH). Growth responses in children are linked to latitude, and we found that a correlation of latitude, summer daylight exposure (SDE) was a key environmental factor related to growth response to r-hGH. In turn growth response was determined by an interaction between both SDE and genes known to affect growth response to r-hGH. In addition analysis of associated networks of gene expression implicated a role for circadian clock pathways and specifically the developmental transcription factor NANOG. This work provides the first observation of gene-environment interactions in children treated with r-hGH.

Publication Title

Effect of summer daylight exposure and genetic background on growth in growth hormone-deficient children.

Sample Metadata Fields

Sex, Age

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accession-icon GSE8994
A Comparison of microarray and MPSS Technology Platforms for Expression Analysis of Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

A comparison of microarray and MPSS technologies can help to establish the metrics for data comparisons across these technology platforms and determine some of the factors affecting the measurement of mRNA abundances using different platforms. Here, different Treatments/Conditions based on different Arabidopsis tissues were used for three different platforms include MPSS, Affymetrix and Agilent.

Publication Title

A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis.

Sample Metadata Fields

No sample metadata fields

View Samples
...

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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