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accession-icon SRP150019
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Expression profile of messenger RNA in MDA-MB-231 cells with GDF15/GDF15(nonSIG) overexpression or not

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP154351
mRNA expression profiles of MDA231 Cells overexpressing lncRNA MACC1-AS1
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

LncRNA MACC1-AS1 is the antisense RNA of Metastasis-associated in colon cancer-1 (MACC-1), which is located on the sixth intron of MACC-1. To determine gene expression changes associated with overexpression of MACC1-AS1, we performed RNA-seq analysis on MDA231-Con and MDA231-MACC1-AS1 cells.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP099105
Transcriptomic study of progerin-expressing medial aortas
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hutchinson-Gilford progeria syndrome (HGPS) is a rare genetic disease which is characterized by premature ageing. Affected children show accelerated cardiovascular disease, including atherosclerosis and vascular smooth muscle cell (VSMC) loss, and die at an average age of 14.6 years from myocardial infarction or stroke. The objective of this study was to detect the primary mechanism leading to VSMC death and accelerated atherosclerosis in mouse models of HGPS. In our RNA sequencing experiment we compared transcriptomes of medial aortas from both ubiquitous and VSMC-specific progeric models with its corresponding controls expressing lamin A/C or lamin C only, respectively. Our studies might not only help to find a cure for HGPS but also shed some light on physiological ageing.

Publication Title

No associated publication

Sample Metadata Fields

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

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accession-icon SRP092882
Drosophila allele specific expression
  • organism-icon Drosophila melanogaster
  • sample-icon 66 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This study crossed Drosophila melanogaster genotypes from four populations to the reference genome line. RNAseq data was then generated to study natural variation in allele specific expression.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE29986
gene expression analyses of pediatric lymphoblastic lymphomas and leukemias
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

T-cell acute lymphoblastic leukemia (T-ALL) and lymphoma (T-LBL) share common morphologic and immunophenotypic features and are treated with similar therapeutic approaches. Nonetheless, they show distinct clinical presentations suggesting that they may represent two different biological entities. In order to investigate T-LBL and T-ALL biological characteristics we used transcriptional profiling approache. Genome-wide gene expression profiling, performed on 20 T-LBL and 10 T-ALL diagnostic specimens, showed that the two malignancies shared a large fraction of their transcriptional profile while a subset of genes appeared to be differentially expressed in T-LBL versus T-ALL. This gene signature included genes involved in chemotactic responses and angiogenesis which might play a role in the different tumor cell localization suggesting that T-LBL and T-ALL could be two distinct diseases with unique transcriptional characteristics.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

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accession-icon E-MEXP-583
Transcription profiling of human normal progenitor cells mutated for RUNX1-RUNX1 during myeloid and erythroid development to identify genes disregulated by RUNX1-RUNX1
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In order to identify genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression during myeloid and erythroid development of normal human progenitor cells.

Publication Title

Transcriptional dysregulation mediated by RUNX1-RUNX1T1 in normal human progenitor cells and in acute myeloid leukaemia.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-550
Transcription profiling of Arabidopsis response to UV-B
  • organism-icon Arabidopsis thaliana
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Seven-day-old white-light-grown Arabidopsis seedlings were exposed for 15 minutes to polychromatic radiation with decreasing short-wave cut-off in the UV range, transferred back to the standard growth chamber and samples were taken 1 and 6 hours after the start of irradiation.

Publication Title

Genome-wide analysis of gene expression reveals function of the bZIP transcription factor HY5 in the UV-B response of Arabidopsis.

Sample Metadata Fields

Age, Time

View Samples
accession-icon SRP056612
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, Illumina HiSeq 3000, NextSeq 500

Description

Gene expression profile in Calu-3 cells infected with MERS-CoV or SARS-CoV

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE79156
Blockade of the neogenin-RGMb-BMP signaling hub inhibits allergen-induced airway hyperreactivtiy
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Bronchial asthma is associated with type 2 immune responses induced by components of adaptive as well as innate immunity. Although innate cytokines such as IL-25 have been shown to play key roles in development of airway hyperreactivity (AHR), little is known of innate molecules that regulate IL-25-mediated airway inflammation. We found that blockade of repulsive guidance molecule b (RGMb) in an experimental murine model of asthma blocked the development of AHR, a cardinal feature of asthma, and that RGMb is expressed on F4/80+CD11b+CD11cneg macrophages (RGMb+ macrophages), which accumulated in the lungs of OVA-sensitized and challenged mice, but not in nave mice. Moreover, we found that a large fraction of the RGMb+ macrophages expressed the IL-25 receptor IL-17RB and produced IL-13. IL-25 was critical for the development of AHR in our model, since mice deficient in IL-17RB did not develop AHR. Finally, treatment with anti-RGMb mAb during the challenge phase of the protocol after allergen sensitization effectively prevented the development of AHR and airway inflammation, suggesting for the first time that RGMb+ cells, including RGMb+ macrophages, play critical roles in allergen-induced asthma.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE47098
Expression data during plantaris muscle hypertrophy induced by synergist ablation in young adult mice
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Global gene expression patterns were determined from microarray results on day 1, 3, 5, 7, 10 and 14 during plantaris muscle hypertrophy induced by synergist ablation in young adult mice (5 months).

Publication Title

Time course of gene expression during mouse skeletal muscle hypertrophy.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Time

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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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