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accession-icon GSE51480
PAB/WT polysome loading and transcript levels (Arabidopsis thaliana)
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the poly(A)binding protein to the translation of specific mRNAs, we compared the ribosome occupancy of mRNAs in wild type Arabidopsis and pab2 pab8 double mutant seedlings. The mutants continue to express the PAB4 paralog of PABP.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE51474
rpl24b/WT polysome loading and transcript levels (Arabidopsis thaliana)
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the RPL24B protein, a component of the large 60S ribosomal subunit, to the translation of specific mRNAs, we compared the ribosome occupancy of mRNAs in wild type Arabidopsis and the rpl24b/stv1-1 T-DNA insertion mutant.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE28224
eif3k/WT polysome loading and transcript levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE28223
eif3k/WT polysome loading
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the k subunit of eukaryotic transcription factor 3 (eif3k) to the translation of specific mRNAs, we compared the polysome loading states and overall transcript levels of wild type Arabidopsis and the eif3k T-DNA insertion mutant by Affymetrix arrays.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE28222
eif3k/WT transcript levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the k subunit of eukaryotic transcription factor 3 (eif3k) to the translation of specific mRNAs, we compared the polysome loading states and overall transcript levels of wild type Arabidopsis and the eif3k T-DNA insertion mutant by Affymetrix arrays.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE24901
Therapeutic globin expression in thalassemia patient induced pluripotent stem cells from genomic safe harbors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The advent of human induced pluripotent stem (iPS) cells enables for the first time the derivation of unlimited numbers of patient-specific stem cells and holds great promise for regenerative medicine. However, realizing the full potential of iPS cells requires robust, precise and safe strategies for their genetic modification. Safe human iPS cell engineering is especially needed for therapeutic applications, as stem cell-based therapies that rely on randomly integrated transgenes pose oncogenic risks. Here we describe a strategy to genetically modify iPS cells from patients with beta-thalassemia in a potentially clinically relevant manner. Our approach is based on the identification and selection of safe harbor sites for transgene expression in the human genome. We show that thalassemia patient iPS cell clones harboring a transgene can be isolated and screened according to chromosomal position. We next demonstrate that iPS cell clones that meet our safe harbor criteria resist silencing and allow for therapeutic levels of beta-globin expression upon erythroid differentiation without perturbation of neighboring gene expression. Combined bioinformatics and functional analyses thus provide a robust and dependable approach for achieving desirable levels of transgene expression from selected chromosomal loci. This approach may be broadly applicable to introducing therapeutic or suicide genes into patient specific iPS cells for use in cell therapy.

Publication Title

Genomic safe harbors permit high β-globin transgene expression in thalassemia induced pluripotent stem cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE7007
Ewing samples and EWS-FLI-1 inhibited Ewing cell lines
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The cellular origin of Ewing tumor (ET), a tumor of bone or soft tissues characterized by specific fusions between EWS and ETS genes, is highly debated. Through gene expression analysis comparing ETs with a variety of normal tissues, we show that the profiles of different EWS-FLI1-silenced Ewing cell lines converge toward that of mesenchymal stem cells (MSC). Moreover, upon EWS-FLI1 silencing, two different Ewing cell lines can differentiate along the adipogenic lineage when incubated in appropriate differentiation cocktails. In addition, Ewing cells can also differentiate along the osteogenic lineage upon long-term inhibition of EWS-FLI1. These in silico and experimental data strongly suggest that the inhibition of EWS-FLI1 may allow Ewing cells to recover the phenotype of their MSC progenitor.

Publication Title

Mesenchymal stem cell features of Ewing tumors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14900
Transcriptional response of human cells to the absence of mitochondrial DNA
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Mitochondrial biogenesis is under the control of two different genetic systems: the nuclear genome (nDNA) and the mitochondrial genome (mtDNA). mtDNA is a circular genome of 16.6 kb encoding 13 of the approximately 90 subunits that form the respiratory chain, the remaining ones being encoded by the nuclear genome (nDNA). Eukaryotic cells are able to monitor and respond to changes in mitochondrial function through alterations in nuclear gene expression, a phenomenon first defined in yeast and known as retrograde regulation. With this experiment we aimed to identify the set of nuclear genes that significantly change their expression level in response to depletion of mtDNA.

Publication Title

How do human cells react to the absence of mitochondrial DNA?

Sample Metadata Fields

Cell line

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accession-icon SRP055410
Pseudomonas aeruginosa PA14 differential gene expression in PA14_69770 mutants
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Extremely slow growth imposed by energy limitation is a ubiquitous but poorly understood physiological state for microbes. We used oxygen limitation to impose this state on Pseudomonas aeruginosa and measured newly synthesized proteins using a time-selective proteome labeling method (BONCAT) to identify relevant regulators and metabolic pathways. We further characterized one upregulated protein that has no homology to any known protein domains. This small, acidic protein is post-transcriptionally regulated and physically interacts with RNA polymerase, binding near the secondary channel during transcription elongation, and leading to widespread effects on gene expression. For some genes, the impacts on transcript and protein levels are different, suggesting possible modulation of translation as well. These effects have phenotypic consequences, as deletion of the gene affects biofilm formation, secondary metabolite production, and fitness in fluctuating conditions. Based on these phenotypes, we have designated the protein SutA (survival under transitions). Overall design: Profiles of rRNA-depleted total RNA from WT, ?sutA (PA14_69770), and SutA-overexpressing cells grown late exponential phase in minimal medium containing pyruate as the carbon source, in triplicate

Publication Title

SutA is a bacterial transcription factor expressed during slow growth in Pseudomonas aeruginosa.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE16768
Transcriptome analysis identifies molecular effectors of unconjugated bilirubin in human neuroblastoma SH-SY5Y cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A transcriptome analysis identifies molecular effectors of unconjugated bilirubin in human neuroblastoma SH-SY5Y cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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