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accession-icon GSE50840
Expression data from activated NK cells
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

All-trans retinoic acid (ATRA) induces miR-23a expression, decreases CTSC expression and granzyme B activity leading to impaired NK cell cytotoxicity.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE50838
Expression data from activated NK cells [RNA]
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Natural Killer (NK) cells present natural cytotoxicity against tumor cells, although their activity is increased after activation. NK cell activation depends on a complex intracellular signaling process mediated by activating and inhibitory receptors and the functional outcome depends on the integration of the activating and inhibitory signals received. Soluble cytokines and/or ligands on target cells bind the NK cell receptors, and hence, influence the final NK cell response: attack versus ignorance.

Publication Title

All-trans retinoic acid (ATRA) induces miR-23a expression, decreases CTSC expression and granzyme B activity leading to impaired NK cell cytotoxicity.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE87384
Characterization of human Fcrl4-positive B cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

FCRL4 is an immunoregulatory receptor that belongs to the Fc receptor-like (FCRL) family. In healthy individuals, this protein is specifically expressed by memory B cells (MBCs) and is preferentially localized in subephitelial regions of lymphoid tissues. An expansion of FCRL4+ B cells has been shown in blood or other tissues in various infectious or autoimmune pathologies. In the present work, we generated and characterized in vitro FCRL4+ B cells from purified MBCs using T-dependent and/or T-independent stimulation. FCRL4+ B cells account for 17% of cells generated at day-4 of culture. Transcriptomic and phenotypic analysis of FCRL4+ cells show that they are closely related to FCRL4+ tonsillar MBCs. Interestingly, these cells highly express inhibitory receptors genes as described for exhausted FCRL4+ MBCs in the blood of HIV-viremic individuals. In agreement, in vitro generated FCRL4+ B cells show a significant underexpression of cell cycle genes with a two fold weaker number of cell division compared to FCRL4- cells. Finally, resulting from their reduced proliferation and differentiation potential, we show that FCRL4+ cells are not prone to generate plasma cells, contrary to FCRL4- cells. Given the difficulty to access to in vivo FCRL4+ cells, our in vitro model could be of major interest to study the biology of normal and pathological FCRL4+ cells.

Publication Title

Characterization of human FCRL4-positive B cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE39397
Human CRC cell populations
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

View Samples
accession-icon GSE39395
Expression profiles of cell populations purified from human CRC (3 ways)
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The survival of isolated metastatic cells and expansion into macroscopic tumour has been recognized as a limiting step for metastasis formation in several cancer types yet the determinants of this process remain largely uncharacterized. In colorectal cancer (CRC), we identify a transcriptional programme in tumour-associated stromal cells, which is intimately linked to a high risk of developing recurrent disease after therapy. A large proportion of CRCs display mutational inactivation of the TGF-beta pathway but paradoxically they are characterized by high TGF-beta production. In these tumours, TGF-beta instructs a transcriptional programme in stromal cells, which confers a high risk of developing metastatic disease.

Publication Title

Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE20595
Pico profiling from 10 cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Current expression profiling methods use RNA from hundreds of thousands or thousands cells. Many fields of biology can not use microarrays due to the nature of the biological systems used that are formed by hundreds or dozens of cells. Here we present a method that can handle RNA amount limitation and gives gene expression profiles from as little as 10 cells. We first validate the method hybridizing amplified RNA from MAQC samples A and B. To do that, 25 ng or 100 pg were used and expression profiles obtained as good as when compared to Affymetrix's chemistry for amplification and labeling. The same experiment was done but using sorted cells from two comercial cell lines (SW620 and SW480) obtaining the same differential expression profiling from 2000 cells or 10 cells. The central step of the method is Whole Transcriptome Amplification (WTA) from Sigma that allows the amplification of very small amounts of RNA as starting material.

Publication Title

Accurate expression profiling of very small cell populations.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE39396
Expression profiles of cell populations purified from human CRC (4 ways)
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The survival of isolated metastatic cells and expansion into macroscopic tumour has been recognized as a limiting step for metastasis formation in several cancer types yet the determinants of this process remain largely uncharacterized. In colorectal cancer (CRC), we identify a transcriptional programme in tumour-associated stromal cells, which is intimately linked to a high risk of developing recurrent disease after therapy. A large proportion of CRCs display mutational inactivation of the TGF-beta pathway but paradoxically they are characterized by high TGF-beta production. In these tumours, TGF-beta instructs a transcriptional programme in stromal cells, which confers a high risk of developing metastatic disease.

Publication Title

Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE27605
The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Using EphB2 or the ISC marker Lgr5, we have FACS-purified and profiled intestinal stem cells (ISCs), crypt proliferative progenitors and late transient amplifying cells to define a gene expression program specific for normal ISCs.

Publication Title

The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE47002
Transcriptome comparison of murine wild-type and dumbo retinas at P15
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Hmx1 is a transcription factor expressed in the developing eye and ear and in some other parts of the nervous system. Dumbo mice are carrying the Hmx1 p.Q64X loss-of-function mutation (Munroe et al., 2009. BMC Developmental Biology). Transcriptomic analyses of this mouse model allows to decipher biological pathways under the control of Hmx1. In our study, we used it to better understand the role of Hmx1 in the retina and to identify several of its target genes.

Publication Title

Identification of HMX1 target genes: a predictive promoter model approach.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-2702
Transcription profiling of Zea mays embryos under camptothecin (CPT) treatment
  • organism-icon Zea mays
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Camptothecin (CPT) is a plant alkaloid that specifically binds topoisomerase I (Topo I) inhibiting its activity and inducing double stranded breaks in the DNA, activating the genotoxic cell responses, and ultimately, it might trigger programmed cell death (PCD). We used microarrays to detail the changes in gene expression during as a consequence of CPT treatment in maize immature embryos. In four independent experiments immature embryos were plated on MS medium supplemented with 50 uM CPT and incubated during three days. Untreated embryos incubated on MS medium were used as controls.

Publication Title

Transcriptomic and proteomic profiling of maize embryos exposed to camptothecin.

Sample Metadata Fields

Specimen part, Compound

View Samples
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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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