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accession-icon SRP117574
CACUL1 reciprocally regulates SIRT1 and LSD1 for PPAR? repression and anti-adipogenesis
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Peroxisome proliferator-activated receptor ? (PPAR?) is the master regulator of adipocyte differentiation and is closely linked to the development of obesity. Despite a large progress on the transcriptional network of PPAR?, the epigenetic regulation associated with histone modification remains elusive. Here, we found that CDK2-associated cullin 1 (CACUL1), identified as a novel SIRT1 interacting protein, directly binds to PPAR? through the CoRNRbox 2 and represses the transcription activity and adipogenic potential of PPAR?. Upon CACUL1 depletion, less SIRT1 and more LSD1 was recruited to the PPAR?-responsive gene promoter, leading to the increased histone H3K9 acetylation and decreased H3K9 methylation for PPAR? activation during adipogenesis of 3T3-L1 cells. These findings were reversed upon fasting or resveratrol treatment. Further, gene expression profiling using RNA-seq supported the repressive role of CACUL1 in PPAR? activation and fat accumulation. Finally, we confirmed the CACUL1 function in human adipose-derived stem cells. Overall, our data suggest thatCACUL1 tightly regulates PPAR? signaling through the mutual opposition between SIRT1 and LSD1, providing additional insight into its use for anti-obesity treatment.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line, Treatment

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accession-icon GSE32360
Expression data from early Zebrafish embryos after knockdown of mir-34
  • organism-icon Danio rerio
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

microRNAs play crucial roles in the early development of an organism. However the regulation of transcription through the action of microRNAs during the initial embyonic development has not been studied.

Publication Title

miR-34 is maternally inherited in Drosophila melanogaster and Danio rerio.

Sample Metadata Fields

Specimen part

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accession-icon SRP109839
Dichotomous Effects of Glucose and Fructose on Hepatic Lipogenesis and Insulin Signaling
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Overconsumption of high-fat diet (HFD) and sugar-sweetened beverages are risk factors for development of obesity, insulin resistance and fatty liver disease. To dissect mechanisms underlying this association, mice were fed chow or HFD with or without addition of fructose- or glucose-supplemented water. There were no physiological differences in mice supplemented with fructose or glucose on chow diet. Despite similar caloric intake, mice on HFD supplemented with fructose developed more pronounced obesity, glucose intolerance and hepatomegaly than glucose-supplemented mice. While both sugars increased Chrebp-?, fructose supplementation uniquely increased Srebp1c and downstream fatty acid synthesis genes resulting in reduced liver insulin signaling, whereas glucose enhanced total Chrebp expression and triglyceride synthesis but was associated with improved hepatic insulin signaling. Metabolomic and RNA sequence analysis confirmed dichotomous effects of fructose and glucose supplementation on liver metabolism in spite of inducing similar amount of hepatic lipid accumulation. Ketohexokinase, the first enzyme of fructose metabolism, was increased in fructose-fed mice and in obese adolescents with steatohepatitis. Knockdown of ketohexokinase-C in liver improved hepatic steatosis and glucose tolerance in fructose-supplemented mice. Thus, fructose is a component of dietary sugar that is uniquely associated with poor metabolic outcomes, while increased glucose intake may be protective.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE12161
Transcriptome profiling of control and TNFalpha treated HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The proinflammatory cytokine, TNFalpha is critical in maintaining liver homeostasis since it is a major determiner of hepatocyte life and death. Considering this, gene transcription profiling was examined in control and TNFalpha treated HepG2 cells. Results indicated that TNFalpha could significantly alter the expression of a significant number of genes; most of them were functionally distributed among molecular functions like catalytic activity, binding, molecular transducer activity, transporter activity, translation and transcription regulator activities or enzyme regulator activity. Also, within genes up-regulated by TNFalpha, several GO terms related to lipid and fat metabolism were significantly overrepresented indicating global dysregulation of fat metabolism within the hepatocyte and those within the down-regulated dataset included genes involved in immunoglobulin receptor activity and IgE binding thereby indicating a compromise in immune defense mechanism(s) apart from those involved the DNA binding and protein binding categories. The interacting network of lipid metabolism, small molecule biochemistry was derived to be significantly affected that correlated well with the top canonical pathway of biosynthesis of steroids and molecular and cellular function of lipid metabolism. All these indicate TNFalpha to be significantly altering the transcriptome profiling within HepG2 cells with genes involved in lipid and steroid metabolism being the most favoured. This study suitably addresses the genes that determine TNFalpha mediated alterations within the hepatocyte mainly the phenotypes of hepatic steatosis and fatty liver that are associated with several hepatic pathological states.

Publication Title

Gene expression profiling and network analysis reveals lipid and steroid metabolism to be the most favored by TNFalpha in HepG2 cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-2118
Transcription profiling of Bos indicus blood from animals kept at sea level or at high altitude to determine hypobaric hypoxia induced transcriptional changes
  • organism-icon Bos indicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Hypobaric Hypoxia Induced Transcriptional profiling of Bovine (Bos indicus)

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon SRP105338
Danio rerio strain:AB Raw sequence reads
  • organism-icon Danio rerio
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

RNA-seq data from control and MCT8 morphant zebrafish embryos at 25hpf

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38080
Hsp27 acts as a master molecular chaperones and plays an essential role in hepatocellular carcinoma metastasis
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hsp27 can regulate multiply signaling pathway and protect HCC cells apoptosis by mediating interaction with its cochaperones

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon SRP115636
ASXL3 is a Novel Pluripotency Factor in Human Respiratory Epithelial Cells and a Potential Therapeutic Target in Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

Investigate epigenetic mechanisms contributing to stemness/pluripotency in lung cancers and potentially identify novel therapeutic targets in these malignancies.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE151857
TBR-760, a Dopamine-Somatostatin Compound, Arrests Tumor Growth of Aggressive Non-Functioning Pituitary Adenomas in Mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

TBR-760 (formerly BIM-23A760) is a chimeric dopamine (DA)-somatostatin (SST) compound with potent agonist activity at both DA type 2 (D2R) and SST type 2 (SSTR2) receptors. Non-functioning pituitary adenomas (NFPAs) express both D2R and SSTR2 and, consequently, may respond to TBR-760. We utilized a mouse model with the pro-opiomelanocortin (POMC) gene knocked-out that spontaneously develops aggressive NFPAs. Both genomic microarray and DA and SST receptor mRNA expression analysis indicate that POMC KO mouse tumors and human NFPAs have similar expression profiles, establishing POMC KO mice as a valid model for study of NFPAs. Treatment with TBR-760 for 8 weeks resulted in nearly complete inhibition of established tumor growth, whereas tumors from vehicle-treated mice increased in size by 890 ± 0.7%. These results support the development of TBR-760 as a therapy for patients with NFPA.

Publication Title

TBR-760, a Dopamine-Somatostatin Compound, Arrests Growth of Aggressive Nonfunctioning Pituitary Adenomas in Mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE35935
Rituximab plus chlorambucil as initial treatment for elderly patients with chronic lymphocytic leukemia: effect of pretreatment biologic characteristics and gene expression patterns on response to treatment
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Evaluation of pretreatment gene expression profiling features in elderly CLL patients; correlation with clinical outcome

Publication Title

No associated publication

Sample Metadata Fields

Sex, 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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