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accession-icon SRP095347
Genetic influences on gene expression in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 192 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this study, we describe the impact of genetic variation on transcript abundance in an F2 population of Arabidopsis thaliana. The RNA-seq resource generated by this study is suitable for expression quantitative trait locus (eQTL) mapping. From the aligned RNA-seq reads, and available genomic data for each of the parents of the cross, we imputed the genomes of each F2 individual (to allow genetic mapping of RNA abundance traits; briefly, genetic differences in aligned RNA-seq reads were used to impute each F2 genome). Our results show that heritable differences on gene expression can be detected using F2 populations (that is, single F2 plants), and shed light on the control of expression differences among strains of this reference plant. Overall design: 183 samples consisting of single F2 plants of a cross between Arabidopsis thaliana accessions 8230 and 6195 were generated. For each sample, RNA was collected from the aerial shoot at the 9th true leaf stage, and Illumina mRNA-seq libraries were constructed. Using these libraries, 50 bp single end RNA-seq Illumina reads were generated for each sample, and used to quantify gene expresison in each individual. The resulting expression phenotypes are suitable for genetic mapping of the control of gene expression differences in the species.

Publication Title

Epistatic and allelic interactions control expression of ribosomal RNA gene clusters in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE83129
RNA profiling in metastatic colorectal cancer patients treated first-line with oxaliplatin
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Oxaliplatin (oxPt) resistance in colorectal cancers (CRC) is a major medical problem, and predictive markers are urgently needed. Recently, miR-625-3p was reported as a promising predictive marker. Here, we have used in vitro models to show that miR-625-3p functionally induces oxPt resistance in CRC cells, and have identified signalling networks affected by miR-625-3p. The p38 MAPK activator MAP2K6 was shown to be a direct target of miR-625-3p, and, accordingly, was downregulated in patients not responding to oxPt therapy. miR-625-3p resistance could be reversed in CRC cells by anti-miR-625-3p treatment and by ectopic expression of a miR-625-3p insensitive MAP2K6 variant. In addition, by reducing p38 MAPK signalling using either siRNA technology, chemical inhibitors to p38 or by ectopic expression of dominant negative MAP2K6 protein we induced resistance to oxPt. Transcriptome, proteome and phosphoproteome profiles revealed inactivation of MAP2K6-p38 signalling as one likely mechanism a possible driving force behind of oxPt resistance. Our study shows that miR-625-3p induces oxPt resistance by abrogating MAP2K6-p38 regulated apoptosis and cell cycle control networks, and corroborates the predictive power of miR-625-3p

Publication Title

miR-625-3p regulates oxaliplatin resistance by targeting MAP2K6-p38 signalling in human colorectal adenocarcinoma cells.

Sample Metadata Fields

Subject

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accession-icon GSE44946
Expression data by BRD7552 treatment in PANC-1 cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Three master regulatory transcription factors Pdx1, MafA and Ngn3 have the ability to transdifferentiate pancreatic acinar cells to insulin-producing beta cells in mice. BRD7552 was identified as a small-molecule inducer that can upregulate the expression of Pdx1 in PANC-1 cells by high-throughput qPCR screening.

Publication Title

A small-molecule inducer of PDX1 expression identified by high-throughput screening.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon GSE135575
Expression profiling and H3K79me2 ChIP-seq in Prostate cancer cells treated with DOT1L inhibitor
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Histone methyltransferase DOT1L coordinates AR and MYC stability in prostate cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE135573
Expression profiling in Prostate cancer cells treated with DOT1L inhibitor
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We performed expression profiling of prostate cancer cells, LNCaP and PC3 cells that were treated with the specific DOT1L inhibitor EPZ004777 (1uM) for 8 days. We found that unique genes were differentially expressed in both cell lines.

Publication Title

Histone methyltransferase DOT1L coordinates AR and MYC stability in prostate cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE145895
Regulation of endoplasmic reticulum-mitochondria contacts and mitochondrial dynamics by Sel1L-Hrd1 ERAD during thermogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Organelles such as endoplasmic reticulum (ER) and mitochondria interact with each other at specialized domains on the ER known as mitochondria-associated membranes (MAMs). Here, using three-dimensional high-resolution imaging techniques, we show that the Sel1LHrd1 protein complex, the most conserved branch of ER-associated protein degradation (ERAD), exerts a profound impact on ER-mitochondria contacts and mitochondrial dynamics, at least in part, by regulating the turnover and hence the abundance of the MAM protein sigma receptor 1 (SigmaR1). Sel1L or Hrd1 deficiency in brown adipocytes impairs dynamic interaction between ER and mitochondria, leading to the formation of pleomorphic “megamitochondria” and, in some cases with penetrating ER tubule(s), in response to acute cold challenge. Mice with ERAD deficiency are cold sensitive and exhibit mitochondrial dysfunction in brown adipocytes. Mechanistically, endogenous SigmaR1 is targeted for proteasomal degradation by Sel1L-Hrd1 ERAD, whose accumulation in ERAD-deficient cells leads to mitofusin 2 (Mfn2) oligomerization, thereby linking ERAD to mitochondrial dynamics. Our study identifies Sel1L-Hrd1 ERAD as a critical determinant of ER-mitochondria contacts, thereby regulating mitochondrial dynamics and thermogenesis.

Publication Title

Endoplasmic reticulum-associated degradation regulates mitochondrial dynamics in brown adipocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE68017
Expression data from in vitro versus in vivo differentiated Th17 cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

In vitro differentiated Th17 have a distinct expression profile compared to in vivo differentiated Th17

Publication Title

Inhibiting Oxidative Phosphorylation In Vivo Restrains Th17 Effector Responses and Ameliorates Murine Colitis.

Sample Metadata Fields

Specimen part

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accession-icon GSE58250
Multi-Omic Integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in type 2 diabetic obesity
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Multi-omic integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in Type 2 diabetic obesity.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE38642
Expression data from human pancreatic islets
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Close to 50 genetic loci have been associated with type 2 diabetes (T2D), but they explain only 15% of the heritability.

Publication Title

A systems genetics approach identifies genes and pathways for type 2 diabetes in human islets.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE58249
Multi-Omic Integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in type 2 diabetic obesity [mRNA data]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of skeletal muscle gene expression from type 2 diabetic volunteers before and after 16 weeks of chronic exercise training (two groups, one undergoing aerobic ecercise and the other resistance training exercise)

Publication Title

Multi-omic integrated networks connect DNA methylation and miRNA with skeletal muscle plasticity to chronic exercise in Type 2 diabetic obesity.

Sample Metadata Fields

Specimen part

View Samples

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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