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accession-icon GSE43270
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE43191
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients (gene expression)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

The aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE100617
PML is a ROS sensor activating p53 upon oxidative stress
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st), Affymetrix Mouse Gene 1.1 ST Array (mogene11st), Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PML is a ROS sensor activating p53 upon oxidative stress.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Race, Time

View Samples
accession-icon GSE100616
Gene expression profiling of Pml wt and Pml KO mice liver with acetaminophen (apap) overdose (300mg/kg) i.p.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

The Pml gene is essential to the formation of PML nuclear bodies, domains which have been associated with various functions such as apoptosis/senescence, DNA repair and cell proliferation( Lallemand-Breitenbach 2010). PML-NBs formation is regulated by cellular stress including oxidative stress(Jeanne 2010, de The 2012). To investigate the role of PML in ROS response in vivo, we analyse the expression difference to the acetaminophen toxicity, which is initiated by ROS, in Pml wt and Pml KO mice.

Publication Title

PML is a ROS sensor activating p53 upon oxidative stress.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE100615
Gene expression profiling of Pml wt and Pml KO mice liver after fasted 6h
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st), Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

The Pml gene is essential to the formation of PML nuclear bodies, domains which have been associated with various functions such as apoptosis/senescence, DNA repair and cell proliferation( Lallemand-Breitenbach 2010). PML-NBs formation is regulated by cellular stress including oxidative stress(Jeanne 2010, de The 2012). To investigate the role of PML in ROS response in vivo, we analyse the expression difference betweem Pml wt and Pml KO under fasted condition, which easily up-regulate ROS in BALB/cByJ background

Publication Title

PML is a ROS sensor activating p53 upon oxidative stress.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE103642
PML is a ROS sensor activating p53 upon oxidative stress
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st), Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

PML nuclear bodies (NBs) recruit partner proteins -including p53 and its regulators- controlling their abundance or function. Investigating arsenic sensitivity of acute promyelocytic leukemia, we proposed that PML oxidation promotes NB-biogenesis. Yet, physiological links between PML and oxidative stress response in vivo remain unexplored. Here we identify PML as a reactive oxygen species (ROS) sensor. Pml-/- cells accumulate ROS, while PML expression decreases ROS levels. Unexpectedly, Pml-/- embryos survive acute glutathione depletion. Moreover, Pml-/- animals are resistant to acetaminophen hepatotoxicity or fasting-induced steatosis. Molecularly, Pml-/- animals fail to properly activate oxidative stress-responsive p53 targets, while NRF2 response is accelerated. Finally, in an oxidative stress-prone background, Pml-/- animals display a longevity phenotype, likely reflecting decreased basal p53 activation. Thus, similar to p53, PML exerts basal anti-oxidant properties, but also drives oxidative stress-induced changes in cell survival/proliferation or metabolism in vivo. Through NB-biogenesis, PML therefore couples ROS-sensing to p53 responses, shedding a new light on PML role in senescence or stem cell biology.

Publication Title

PML is a ROS sensor activating p53 upon oxidative stress.

Sample Metadata Fields

Sex, Cell line, Race, Time

View Samples
accession-icon GSE21383
Expression data from porcine ovary tissue of sows from two prolificacy levels
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Previous results from a genome scan in a F2 Iberian by Meishan intercross showed several chromosome regions associated with litter size traits. In order to identify candidate genes underlying these QTL we have performed an ovary gene expression analysis during pregnancy. F2 sows were ranked by their estimated breeding values for prolificacy, the six sows with higher EBV (HIGH prolificacy) and the six with lower EBV (LOW prolificacy) were selected. Samples were hybridized to Affymetrix porcine expression microarrays. The statistical analysis with a mixed-model approach identified 221 differentially expressed probes, representing 189 genes. These genes were functionally annotated in order to identify the genetic pathways overrepresented. Among the most represented functional groups the first one was immune system response activation against external stimulus. The second group was made up of genes which regulate the maternal homeostasis by complement and coagulation cascades. The last group was involved on lipid and fatty acid enzymes of metabolic processes, which participate in steroidogenesis pathway. In order to identify powerful candidate genes for prolificacy, the second approach of this study was merging microarray data with position information of QTL affecting litter size, previously detected in the same experimental cross. According to this, we have identified 27 differentially expressed genes co-localized with QTL for litter size traits, which fulfill the biological, positional and functional criteria.

Publication Title

Differential gene expression in ovaries of pregnant pigs with high and low prolificacy levels and identification of candidate genes for litter size.

Sample Metadata Fields

Specimen part

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accession-icon GSE10898
Transcriptome architecture across tissues in the pig
  • organism-icon Sus scrofa
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Artificial selection has resulted in animal breeds with extreme phenotypes. As an organism is made up of many different tissues and organs, each with its own genetic programme, it is pertinent to ask what are the relative contributions of breed or sex when assessed across tissues.

Publication Title

Transcriptome architecture across tissues in the pig.

Sample Metadata Fields

Age

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accession-icon GSE12837
Gene expression in human myeloid cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12803
Gene expression in human myeloid cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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