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accession-icon GSE14336
Expression profiling of thymic lymphomas from p53 mutant (R270H) mice with varying HIF levels
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Expression profiling of thymic lymphomas derived from HIF1a+/+, p53R270H/R270H; HIF1a+/-, p53R270H/R270H; and HIF1aKI/+, p53R270H/R270H mice.

Publication Title

Heterozygosity for hypoxia inducible factor 1alpha decreases the incidence of thymic lymphomas in a p53 mutant mouse model.

Sample Metadata Fields

Age

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accession-icon GSE63862
CD44s transfection in HEK cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to understand the transcriptional effects of CD44s expression in a cell line that does not express CD44 in its native form we transfected CD44s into HEK cells and measured the transcriptional chances compared to native HEK cells

Publication Title

CD44 Isoform Status Predicts Response to Treatment with Anti-CD44 Antibody in Cancer Patients.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8365
Identification of circadian-regulated genes of Arabidopsis thaliana.
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Most higher organisms, including plants and animals, have developed a time-keeping mechanism that allows them to anticipate daily fluctuations of environmental parameters such as light and temperature. This circadian clock efficiently coordinates plant growth and metabolism with respect to time-of-day by producing self-sustained rhythms of gene expression with an approximately 24-hour period. The importance of these rhythms has in fact been demonstrated in both phytoplankton and higher plants: organisms that have an internal clock period matched to the external environment possess a competitive advantage over those that do not.

Publication Title

The circadian clock regulates auxin signaling and responses in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38538
Expression data from E12.5 NSP cells, CTL v REST shRNA
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

REST is a master regulator of genes that are involved in the acqusition of neuronal fate. The role of REST is not well understood so we attempted to investigate the role of REST in the development of neural cells by analysing the genes that are upregulated when REST is knocked down via shRNA

Publication Title

REST regulates the pool size of the different neural lineages by restricting the generation of neurons and oligodendrocytes from neural stem/progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE8403
RAW264.7 macrophages infected with Brucella abortus, B. melitensis, B. neotomae, and B. ovis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Brucella melitensis, B. neotomae and B. ovis elicit common and distinctive macrophage defense transcriptional responses.

Sample Metadata Fields

Specimen part

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accession-icon GSE8385
Host RAW264.7 macrophage transcript profile following Brucella melitensis, B. neotomae, and B. ovis infections
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

Brucella dynamically engage macrophages while trafficking to an intracellular replicative niche as macrophages, the first line of innate host defense, attempt to eliminate organisms. Brucella melitensis, B. neotomae, and B. ovis are highly homologous, yet exhibit a range of host pathogenicity and specificity. RAW 264.7 macrophages infected with B. melitensis, and B. ovis exhibit divergent patterns of bacterial persistence and clearance; conversely, B. melitensis and B. neotomae exhibit similar patterns of infection. Evaluating early macrophage interaction with Brucella spp. allows discovery of host entry and intracellular translocation mechanisms, rather than bacterial replication. Microarray analysis of macrophage transcript levels following a 4 hr Brucella spp. infection revealed 130 probe sets altered compared to uninfected macrophages; specifically, 72 probe sets were increased and 58 probe sets were decreased with any Brucella spp. Interestingly, much of the inflammatory response was not regulated by the number of Brucella gaining intracellular entry, as macrophage transcript levels were often equivalent among B. melitensis, B. ovis, and B. neotomae infections. An additional 33 probe sets were identified with altered macrophage transcript levels among Brucella spp. infections that may correlate with species specific host defenses and intracellular survival. Gene ontological categorization unveiled genes altered among species are involved in cell growth and maintenance, response to external stimuli, transcription regulation, transporter activity, endopeptidase inhibitor activity and G-protein mediated signaling. Host transcript profiles provide a foundation to understand variations in Brucella spp. infections, while structure of the macrophage response and intracellular niche of Brucella spp. will be revealed through piecewise consideration of host signaling pathways.

Publication Title

Brucella melitensis, B. neotomae and B. ovis elicit common and distinctive macrophage defense transcriptional responses.

Sample Metadata Fields

Specimen part

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accession-icon GSE34149
Phosphorylated and Sumoylation-Deficient Progesterone Receptors Drive Proliferative Gene Signatures During Breast Cancer Progression
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Phosphorylated and sumoylation-deficient progesterone receptors drive proliferative gene signatures during breast cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE6906
Rhythmic growth explained by coincidence between internal and external cues
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant hypocotyls elongate in response to darkness. The response to darkness is gated by the circadian clock, such that wild-type plants (Col) only respond to darkness with growth once every 24 hours, whereas arrhythmic lines, such as CCA1-34, will respond to darkness with growth at any time of day. The experiment here was designed to find genes whose expression was correlated with growth. It should also pick up other genes that are gated by the circadian clock or that are direct targets of CCA1.

Publication Title

Rhythmic growth explained by coincidence between internal and external cues.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE34147
Phosphorylated and Sumoylation-Deficient Progesterone Receptors Drive Proliferative Gene Signatures During Breast Cancer Progression (Affymetrix gene expression analysis)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Anlaysis of the differential gene expression between T47D cells expressing wild type (WT) progesterone receptor isoform B (PR) or SUMOylation-deficient PR molecules.

Publication Title

Phosphorylated and sumoylation-deficient progesterone receptors drive proliferative gene signatures during breast cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE76275
Comprehensive genomic analysis identify novel subtypes and targets of triple-negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 258 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage, Race

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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