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accession-icon GSE67571
Diverse Targets of -catenin during the Epithelial-Mesenchymal Transition Define Cancer Stem Cells and Predict Disease Relapse
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Wnt signaling contributes to the reprogramming and maintenance of cancer stem cell (CSC) states that is activated by the epithelial-mesenchymal transition (EMT) program. However, the mechanistic relationship between the EMT and Wnt pathway in CSCs remains unclear. Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) indicated that EMT induces a switch from the -catenin/E-cadherin/Sox15 complex to the -catenin/Twist1/TCF4 complex, which then binds to CSC-related gene promoters. In tandem co-IP and re-ChIP experiments using epithelial-type cells, Sox15 associated with the -catenin/E-cadherin complex and then bound to the proximal promoter region of CASP3, consequently resulting in Twist1 cleavage and negatively regulating the -cateninelicited promotion of the CSC phenotype. During the EMT, Twist1 in complex with -catenin enhanced -catenin/TCF4 transcriptional activity, which includes binding to the proximal promoter region of ABCG2, a marker of CSCs. For clinical application, the five-gene signature nuclear -cateninHigh/nuclear Twist1High/E-cadherinLow/Sox15Low/CD133High may be a valuable prognostic marker in patients with human lung cancer.

Publication Title

Diverse Targets of β-Catenin during the Epithelial-Mesenchymal Transition Define Cancer Stem Cells and Predict Disease Relapse.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE107703
Transcriptomic analysis of KDM4B-mediated genes in AGS cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

KDM4B, an important epigenetic regulator of cell proliferation, metastasis and genome stability, is often overexpressed in gastric cancer. Notably, elevated expression of KDM4B is associated with a poor clinical outcome. A global transcriptomic analysis between KDM4B control and KDM4B-knockdown AGS cells without or with Helicobacter pylori challenge reveals differentially expressed genes involved in response to virus, multi-organism process, and response to stimulus, suggesting KDM4B as an inducible epigenetic factor under H. pylori challenge.

Publication Title

KDM4B is a coactivator of c-Jun and involved in gastric carcinogenesis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE95603
Expression data from C. elegans treated with anatase TiO2 nanoparticles
  • organism-icon Caenorhabditis elegans
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

The nematode C. elegans was exposed to TiO2 nanoparticles (NPs) to evaluate the ecotoxicity of TiO2 nanoparticles.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40381
Expression data from HSCs
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Hepatic stellate cells (HSCs) experience phenotypic transformation, from the quiescent phenotype to the activated one, after different etiologies of liver injury. Liver fibrosis is then occurred upon the activation of HSCs. miR-16 deficiency is identified to be an important characteristic of HSCs activation. We used Affymetrix rat 230 2.0 arrays (Affymetrix, Santa Clara, U.S.A.) to uncover the global alternations of transcriptome under miR-16 restoration.

Publication Title

No associated publication

Sample Metadata Fields

Sex

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accession-icon GSE75079
Expression data from 3 week old Rat liver (F1)
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Developmental Origins of Health and Disease Hypothesis (DOHaD) all emphasized that maternal nutrition plays an important role on the growth and development of offspring. More and more attention has been paid on the effect of maternal high fat diet and overnutrition during pregnancy on the susceptibility of offspring metabolic diseases. So we aim to build the rat model of maternal high fat diet which may induce steatohepatitis and change of lipid metabolism in the early life of offspring, and explore their possible mechannisms.And then to investigate the influence of maternal high fat diet on the expression of hepatic metabolic genes in the early life of offspring.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE39549
Time-course microarrays reveal early activation of the immune transcriptome and adipokine dysregulation leads to fibrosis in visceral adipose depots during diet-induced obesity
  • organism-icon Mus musculus
  • sample-icon 91 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Time-course analysis of adipocyte gene expression profiles response to high fat diet. The hypothesis tested in the present study was that in diet-induced obesity, early activation of TLR-mediated inflammatory signaling cascades by CD antigen genes, leads to increased expression of pro-inflammatory cytokines and chemokines, resulting in chronic low-grade inflammation. Early changes in collagen genes may trigger the accumulation of ECM components, promoting fibrosis in the later stages of diet-induced obesity. New therapeutic approaches targeting visceral adipose tissue genes altered early by HFD feeding may help ameliorate the deleterious effects of a diet-induced obesity.

Publication Title

Time-course microarrays reveal early activation of the immune transcriptome and adipokine dysregulation leads to fibrosis in visceral adipose depots during diet-induced obesity.

Sample Metadata Fields

Age, Specimen part, Treatment, Time

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accession-icon GSE46862
Predicting multi-class responses to preoperative chemoradiotherapy in rectal patients
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The treatment strategy of rectal cancer has substantially changed in recent decades. Historically postoperative chemoradiotherapy (CRT) was considered to be the first-line therapy for stage II and III rectal cancers. However, the preoperative CRT is now considered to be the optimal therapy regimen for locally advanced rectal ancer due to its improved local control, reduced toxicity, and increased rate of sphincter preservation. Our study established a clinically practical multi-class prediction model by adopting a novel strategy that applies two separate prediction models (MI and TO predictor) sequentially to a patient to predict the response. For promising clinical practice, we validated our model in a published dataset, which is completely independent dataset from ours. This study suggests a clinically plausible prediction model that correctly infers the preoperative CRT response of patients with high accuracy based on 163 gene signatures we identified.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age

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accession-icon GSE43748
Transcriptional profiles of psychostimulant reinforcement in rats
  • organism-icon Rattus norvegicus
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Drug-induced alterations in transcriptional regulation play a central role in establishing the persistent neuroplasticities that occur during drug addiction. Additionally, changes in gene expression associated with drug administration provide valuable insight into the molecular basis of drug abuse. The molecular mechanisms that underlie susceptibility to psychostimulant addiction remain unknown. Identifying the common gene transcriptional responses to psychostimulants can provide a mechanistic insight to elucidate the molecular nature of drug dependence.

Publication Title

Neuronal development genes are key elements mediating the reinforcing effects of methamphetamine, amphetamine, and methylphenidate.

Sample Metadata Fields

Specimen part

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accession-icon GSE81339
Methylome analysis reveals alterations in DNA methylation in the regulatory regions of left ventricle development genes in human dilated cardiomyopathy
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Methylome analysis reveals alterations in DNA methylation in the regulatory regions of left ventricle development genes in human dilated cardiomyopathy.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE40481
Time-dependent network analysis reveals molecular targets underying the development of diet-induced obesity and non-alcoholic steatohepatitis.
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Core diet-induced obesity networks were constructed using Ingenuity pathway analysis (IPA) based on 332 high-fat diet responsive genes identified in liver by time-course microarray analysis (8 time-points over 24 weeks) of high-fat diet fed mice compared to normal diet fed mice. IPA identified five core diet-induced obesity networks with time-dependent gene expression changes in liver. When we merged core diet-induced obesity networks, Tlr2, Cd14 and Ccnd1 emerged as hub genes associated with both liver steatosis and inflammation and were altered in a time-dependent manner. Further protein-protein interaction network analysis revealed Tlr2, Cd14 and Ccnd1 were inter-related through the ErbB/insulin signaling pathway. Dynamic changes occur in molecular networks underlying diet-induced obesity. Tlr2, Cd14 and Ccnd1 appear to be hub genes integrating molecular interactions associated with the development of NASH. Therapeutics targeting hub genes and core diet-induced obesity networks may help ameliorate diet-induced obesity and NASH.

Publication Title

Time-dependent network analysis reveals molecular targets underlying the development of diet-induced obesity and non-alcoholic steatohepatitis.

Sample Metadata Fields

Age, Specimen part

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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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