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accession-icon GSE9913
Intestinal gene expression in ENU mutagenesis mouse strains with missense mutations in Muc2 mucin and ER stress
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Aberrant mucin assembly in mice causes endoplasmic reticulum stress and spontaneous inflammation resembling ulcerative colitis.

Sample Metadata Fields

Sex, Age, 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 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 GSE39394
Expression data from fibroblasts treated with TGF-Beta
  • organism-icon Homo sapiens
  • sample-icon 4 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, Treatment

View Samples
accession-icon GSE74453
Identification of a novel risk factor for intracranial aneurysms in ADPKD using iPSC models
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of MMP1 as a novel risk factor for intracranial aneurysms in ADPKD using iPSC models.

Sample Metadata Fields

Sex, Specimen part, Disease stage, Subject

View Samples
accession-icon GSE74452
Identification of a novel risk factor for intracranial aneurysms in ADPKD using iPSC models [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cardiovascular complications are the leading cause of death in autosomal dominant polycystic kidney disease (ADPKD), and intracranial aneurysm (ICA) causing subarachnoid hemorrhage is among the most serious complications. The diagnostic and therapeutic strategies for ICAs in ADPKD have not been fully established. We here generated induced pluripotent stem cells (iPSCs) from seven ADPKD patients, including four with ICAs. The vascular cells differentiated from ADPKD-iPSCs showed altered Ca2+ entry and gene expression profiles compared with those from control-iPSCs. We found that the expression level of a metalloenzyme gene, matrix metalloproteinase (MMP) 1, was specifically elevated in the iPSC-derived endothelia from ADPKD patients with ICAs. Furthermore, we confirmed a statistically significant correlation between the serum MMP1 levels and the development of ICAs in 354 ADPKD patients, indicating that the serum MMP1 levels may be a novel risk factor and become more beneficial when combined with other risk factors. These results suggest that cellular disease models with ADPKD-specific iPSCs can be used to study the disease mechanisms and to identify novel disease-related molecules or risk factors.

Publication Title

Identification of MMP1 as a novel risk factor for intracranial aneurysms in ADPKD using iPSC models.

Sample Metadata Fields

Sex, Specimen part, Disease stage, Subject

View Samples
accession-icon SRP098710
Identification of endogenous changes in the transcriptome of young versus old Drosophila intestinal stem cells using Next Generation RNA Sequencing
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The Drosophila midgut is an ideal model system to study molecular mechanisms that interfere with the intestinal stem cells’ (ISCs) ability to function in tissue homeostasis. Due to the lack of a combination of molecular markers suitable to isolate ISCs from aged intestines, it has been a major challenge to study endogenous molecular changes of ISCs during aging. Our FACS-based approach using the esg-GAL4, UAS-GFP fly line allowed the isolation of a cell population enriched for ISCs from young and old midguts by their small size, little granularity and low GFP intensity. The isolated ISCs were subsequently used for RNA sequencing to identify endogenous changes in the transcriptome of young versus old ISCs. Overall design: Cell populations enriched for ISCs isolated from young (6-8 days old) and old (59-65 days old) midguts were sorted. Cells from three different batches of young and old midguts were subjected to Next Generation Sequencing using Illumina Genome Analyzer IIx.

Publication Title

Nipped-A regulates intestinal stem cell proliferation in <i>Drosophila</i>.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE2880
dingl-affy-rat-50847
  • organism-icon Rattus norvegicus
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Epilepsy is a major neurological disorder that affects approximately 1% of the population. The processes that lead to the development of epilepsy (epileptogenesis) are largely unknown. Levetiracetam is a novel antiepileptic drug (AED) that in the kindling model inhibits epileptogenesis in addition to being effective in controlling established epilepsy. The mechanisms of action of levetiracetam as an AED and an antiepileptogenic drug are unknown. By identifying the effect of chronic levetiracetam therapy on gene expression in the brain we hope to be able to identify genes that are involved in epileptogenesis. By comparing the gene expression profiles of levetiracetam and phenytoin treatments, we hope to be able to distinguish between genes that are important for the antiepileptic (anti-seizure) effect and genes that are important for the antiepileptogenic effect of levetiracetam. Phenytoin is a well-established AED; its mechanism of action involves inhibition of sodium channels. In contrast to levetiracetam, available data suggest that phenytoin in certain situations may enhance rather than inhibit the development of epilepsy.

Publication Title

Region-specific changes in gene expression in rat brain after chronic treatment with levetiracetam or phenytoin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP076628
Comparative dynamic transcriptome analysis (cDTA-seq) and total RNA-seq of ATP-analog sensitive Kin28 budding yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

During transcription initiation, the TFIIH-kinase Kin28/Cdk7 marks RNA polymerase II (Pol II) by phosphorylating the C-terminal domain (CTD) of its largest subunit. Here we describe a structure-guided chemical approach to covalently and specifically inactivate Kin28 kinase activity in vivo. This method of irreversible inactivation recapitulates both the lethal phenotype and the key molecular signatures that result from genetically disrupting Kin28 function in vivo. Inactivating Kin28 impacts promoter release to differing degrees and reveals a “checkpoint” during the transition to productive elongation. While promoter-proximal pausing is not observed in budding yeast, inhibition of Kin28 attenuates elongation-licensing signals, resulting in Pol II accumulation at the +2 nucleosome and reduced transition to productive elongation. Furthermore, upon inhibition, global stabilization of mRNA masks different degrees of reduction in nascent transcription. This study resolves long-standing controversies on the role of Kin28 in transcription and provides a rational approach to irreversibly inhibit other kinases in vivo. Overall design: Total RNA was collected from wild-type and analog-sensitive Kin28 strains treated with reversible inhibitor 1-NAPP-1, irreversible inhibitor CMK, and solvent control DMSO. Equivalent ratios of S. pombe : S. cerevisiae cells were added to each sample before RNA extraction for normalization of read counts after sequencing. Nascent RNA was purified from total RNA by 4-thiouracil labeling, biotinylation, and streptavidin-pulldown. As a negative control, nascent RNA was also extracted from total RNA from cells that had not been treated with 4-thiouracil.

Publication Title

Engineered Covalent Inactivation of TFIIH-Kinase Reveals an Elongation Checkpoint and Results in Widespread mRNA Stabilization.

Sample Metadata Fields

Cell line, Treatment, Subject

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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