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accession-icon GSE31372
Misprocessing of APP and accumulation of -Amyloid causes early alteration of pathways implicated in late-onset Alzheimer disease.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Genome-wide association studies (GWAS) have identified genes in lipid metabolism,inflammation and vesicular trafficking pathways as risk factors for late onset Alzheimer disease (LOAD). The mechanism by which they cause AD and their relationship to the amyloid cascade affected by genes causing early onset familial AD is unknown. Unproven hypotheses are that these LOAD genes modulate the amyloid cascade itself or downstream targets affected by this cascade.If so, it is likely that these genes and/or other genes in the same pathways may show alterations in their expression as an early consequence of misprocessing of amyloid precursor protein (APP) and accumulation of amyloid -peptides (A). We report that in three independent APP transgenic mouse models of AD, multiple genes in lipid and inflammation pathways show very early changes in mRNA and protein expression. Many of these changes are reversed by treatment with LXR agonists, which regulate transcription of genes in lipid/inflammation pathways, and which we have previously shown can reverse the cognitive deficits and neuropathology in Tg2756 mice. These results suggest that changes in lipid and inflammation pathways are likely to be very early consequences of APP misprocessing and A accumulation in AD. Moreover, genetic variants within these pathways might affect risk for AD by modulating this early response. These pathways are likely to contain biomarkers of early disease and targets for therapies.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP102750
Cattle embryo production using Somatic Cell Nuclear Transfer
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Gene expression analysis in cattle embryos derived from mtDNA depleted cells in the presence and absence of Trichostatin A

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE38588
Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition
  • organism-icon Sus scrofa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The liver transcriptomes of two female groups (High and Low) with phenotypically extreme intramuscular fatty acid composition were sequenced using RNA-Seq [accn: SRA053452, subid: 86092, Bioproject: PRJNA168072]. A total of 146 and 180 unannotated protein-coding genes were identified in intergenic regions for the L and H groups, respectively. In addition, a range of 5.8 to 7.3% of repetitive elements was found, with SINEs being the most abundant elements. The expression in liver of 186 (L) and 270 (H) lncRNAs was also detected. The higher reproducibility of the RNA-Seq data was validated by RT-qPCR and porcine expression microarrays, therefore showing a strong correlation between RT-qPCR and RNA-Seq data (ranking from 0.79 to 0.96), as well as between microarrays and RNA-Seq (r=0.72). A differential expression analysis between H and L animals identified 55 genes differentially-expressed between groups. Pathways analysis revealed that these genes belong to biological functions, canonical pathways and three gene networks related to lipid and fatty acid metabolism. In concordance with the phenotypic classification, the pathways analysis inferred that linolenic and arachidonic acids metabolism was altered between extreme individuals. In addition, a connection was observed among the top three networks, hence suggesting that these genes are interconnected and play an important role in lipid and fatty acid metabolism.

Publication Title

Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE140855
Microarray of HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Transcriptome analysis of total RNA samples from HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells. To check whether KO of UBE2J1 upregulates genes of GPI biosthesis pathway, we used microarrays to analyze gene expression change by KO of UBE2J1 and comfirmed that known GPI pathway genes are not changed by ERAD-deficiency.

Publication Title

Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis and ER-associated degradation.

Sample Metadata Fields

Cell line

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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

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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

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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

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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

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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

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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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