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accession-icon GSE9954
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to compare gene expression across different murine tissues.

Publication Title

Using ribosomal protein genes as reference: a tale of caution.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24207
mRNA analysis in different mouse tissues
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The functioning of a specific tissue depends on the expression pattern of the different genes. We used microarrays to compare gene expression across different murine tissues, to get a better understanding in the expression pattern and functioning of the different tissues. With this analysis, we were not only able to identify genes that were specifically expressed in a spicific tissue but, as important, we also identified genes that were specifically repressed in a tissue, compared to al the other analysed tissues.

Publication Title

Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE24940
Transcription in adult mouse tissues
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used Affymetrix Gene Arrays (1.0 ST) to compare gene expression across different murine tissues.

Publication Title

Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE40160
Analyzing primary Hodgkin and Reed-Sternberg cells to capture the molecular and cellular pathogenesis of classical Hodgkin lymphoma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The pathogenesis of classical Hodgkin lymphoma (cHL), the most common lymphoma in the young, is still enigmatic, largely because its Hodgkin and Reed-Sternberg (HRS) tumor cells are rare in the involved lymph node and therefore difficult to analyze. Here, by overcoming this technical challenge and performing for the first time a genome-wide transcriptional analysis of microdissected HRS cells in comparison to other B-cell lymphomas, cHL lines and normal B-cell subsets, we show that they differ extensively from the usually studied cHL cell lines, that the lost B-cell identity of cHLs is not linked to the acquisition of a plasma cell-like gene expression program, and that Epstein-Barr virus infection of HRS cells has a minor transcriptional influence on the established cHL clone. Moreover, although cHL appears a distinct lymphoma entity overall, HRS cells of its histological subtypes diverged in their similarity to other related lymphomas. Unexpectedly, we identified two molecular subgroups of cHL associated to differential strengths of the transcription factor activity of the NOTCH1, MYC and IRF4 proto-oncogenes. Finally, HRS cells display deregulated expression of several genes potentially highly relevant to lymphoma pathogenesis, including silencing of the apoptosis-inducer BIK and of INPP5D, an inhibitor of the PI3K-driven oncogenic pathway.

Publication Title

Analyzing primary Hodgkin and Reed-Sternberg cells to capture the molecular and cellular pathogenesis of classical Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE16461
Gene expression profile in CD4+ and CD8+ T cells from identical twins discordant for Multiple sclerosis
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To gain insight into the etiopathogenesis of Multiple sclerosis (MS) we investigated gene expression changes in CD4+ and CD8+ T lymphocytes from monozygotic twins (MZ) discordant for relapsing remitting MS.

Publication Title

CD161(high)CD8+T cells bear pathogenetic potential in multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE4045
Classification of serrated colorectal tumors
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Serrated adenocarcinomas are morphologically different from conventional adenocarcinomas. The serrated pathway has recently been proposed to represent a novel mechanism of colorectal cancer (CRC) formation. However, whether they are biologically different and truly form a distinct subclass of CRC, is not known. This study shows that the gene expression profile of serrated and conventional CRCs differs from each others and that serrated CRCs are not only morphologically novel, but also biologically distinct subclass of CRC.

Publication Title

Serrated carcinomas form a subclass of colorectal cancer with distinct molecular basis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE117935
Whole transcriptome analysis of circulating B cells from multiple sclerosis (MS) patients and healthy donors (HD)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Whole transcriptome analysis of circulating B cells from multiple sclerosis (MS) patients and healthy donors (HD).

Publication Title

Analysis of coding and non-coding transcriptome of peripheral B cells reveals an altered interferon response factor (IRF)-1 pathway in multiple sclerosis patients.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE29955
Expression data from cells with siRNA-mediated knockdown of OPG and from HVSMCs incubated with RANKL or TRAIL
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We used microarrays to assess gene expression changes in cells with siRNA-mediated knockdown of OPG compared to normal cells. Furthermore, we used microarrays to assess gene expression in cells treated with either RANKL or TRAIL compared to vehicle-treated cells.

Publication Title

No influence of OPG and its ligands, RANKL and TRAIL, on proliferation and regulation of the calcification process in primary human vascular smooth muscle cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP003464
High throughput sequencing of Piwi bound piRNAs from Drosophila ovaries in which key factors for primary piRNA biogenesis in somatic support cells were knocked down using RNAi
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

In Drosophila, PIWI proteins and bound PIWI interacting RNAs (piRNAs) form the core of a small RNA mediated defense system against selfish genetic elements. Within germline cells piRNAs are processed from piRNA clusters and transposons to be loaded into Piwi/Aubergine/AGO3 and a subset of piRNAs undergoes target dependent amplification. In contrast, gonadal somatic support cells express only Piwi, lack signs of piRNA amplification and exhibit primary piRNA biogenesis from piRNA clusters. Neither piRNA processing/loading nor Piwi mediated target silencing is understood at the genetic, cellular or molecular level. We developed an in vivo RNAi assay for the somatic piRNA pathway and identified the RNA helicase Armitage, the Tudor domain containing RNA helicase Yb and the putative nuclease Zucchini as essential factors for primary piRNA biogenesis. Lack of any of these proteins leads to transposon de-silencing, to a collapse in piRNA levels and to a failure in Piwi nuclear accumulation. We show that Armitage and Yb interact physically and co-localize in cytoplasmic Yb-bodies, which flank P-bodies. Loss of Zucchini leads to an accumulation of Piwi and Armitage in Yb-bodies indicating that Yb-bodies are sites of primary piRNA biogenesis. Overall design: small RNA libraries were prepared from Piwi immuno-precipitates of five different genotypes

Publication Title

An in vivo RNAi assay identifies major genetic and cellular requirements for primary piRNA biogenesis in Drosophila.

Sample Metadata Fields

Subject

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accession-icon GSE7957
Expression data from Pseudomonas aeruginosa exposed airway epithelium from C57Bl6 and MMP-7 and MMP-10 deficient mice.
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Airway epithelium is the initial point of host-pathogen interaction in Pseudomonas aeruginosa infection, an important pathogen in cystic fibrosis and nosocomial pneumonia. We used global gene expression analysis to determine airway epithelial transcriptional responses dependent on matrilysin (MMP-7) and stromelysin-2 (MMP-10), two matrix metalloproteinases induced by acute P. aeruginosa pulmonary infection. Extraction of Differential Gene Expression (EDGE) analysis of gene expression changes in P. aeruginosa infected organotypic tracheal epithelial cell cultures from wildtype, Mmp7-/-, and Mmp10-/- mice identified 2,089 matrilysin-dependent and 1,628 stromelysin-2-dependent genes that were differentially expressed. Key node network analysis showed that these MMPs controlled distinct gene expression programs involved in proliferation, cell death, immune responses, and signal transduction, among other host defense processes. Our results demonstrate discrete roles for these MMPs in regulating epithelial responses to pseudomonas infection and show that a global genomics strategy can be used to assess MMP function.

Publication Title

Individual matrix metalloproteinases control distinct transcriptional responses in airway epithelial cells infected with Pseudomonas aeruginosa.

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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