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accession-icon SRP170930
Transcriptome analysis of PPN1 knock-out and overproducing yeast strains grown in control and manganese excess media
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report RNA-Seq data of S.cerevisiae PPN1 knock-out yeast strain and PPN1 overproducing transformant yeast strain grown to logarithmic stage in control medium and in the medium containing 5mM manganese. Overall design: Yeast were grown to logarithmic growth stage in control YPD medium and in YPD medium with 5 mM MnSO4.

Publication Title

The Reduced Level of Inorganic Polyphosphate Mobilizes Antioxidant and Manganese-Resistance Systems in <i>Saccharomyces cerevisiae</i>.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE10313
Identifying Novel Predictors of Resistance to DNA Damaging Agents
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have investigated whether gene expression signatures can be used to predict inter-individual responses to DNA damaging agents

Publication Title

Genomic predictors of interindividual differences in response to DNA damaging agents.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP071806
Carcinoma-astrocyte gap junctions promote brain metastasis by cytosolic dsDNA response transfer
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Brain metastasis represents a substantial source of morbidity and mortality in various cancers, and is characterized by high resistance to chemotherapy. Here we define the role of the most abundant cell type in the brain, the astrocyte, in brain metastasis. Cancer cells assemble of carcinoma-astrocyte gap junctions composed of connexin 43 (Cx43). Cx43 in cancer cells support brain metastatic colonization. We employ translating ribosome affinity purification (TRAP) to isolate translating mRNA from cancer cells in mixed asrtocyte co-cultures to determine the mechanism behind this Cx43-mediated brain metastatic growth. Once engaged with the astrocyte gap-junctional network, brain metastatic cancer cells employ these channels to transfer the cytosolic dsDNA response messenger cGAMP to astrocytes, activating the cGAS-STING pathway and production of inflammatory cytokines IFNa and TNFa. As paracrine signals, these factors activate the STAT1 and NF-?B pathways in brain metastatic cells, which support tumour growth and chemoresistance. Overall design: TRAP mRNAs were isolated from MDA231-BrM2 (control or Cx43-depleted) after co-cultured with astrocytes. Gene expression profiles were generated by deep sequencing, in duplicate, using Illumina Illumina HiSeq 2000. Two independent replicates were done per condition (i.e. rep1 and rep2).

Publication Title

Carcinoma-astrocyte gap junctions promote brain metastasis by cGAMP transfer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP119248
Clonally expanded CD4+ T cells with a unique gene signature contribute to persistence of the HIV-1 latent reservoir
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Surface expression of the viral Envelope protein (Env) was used to enrich reactivated latent T cells producing HIV-RNA, and single cell RNASeq was performed to study gene expression differences between latent cells and controls. Overall design: Latent CD4+ T cells from virologically suppressed patients were reactivated in vitro and isolated using antibodies against HIV-1 Env. Single cell RNASeq was performed comparing reactivated latent cells with control, unpurified cells from the same donor and with cells actively infected in vitro using HIV-1(YU2).

Publication Title

Clonal CD4<sup>+</sup> T cells in the HIV-1 latent reservoir display a distinct gene profile upon reactivation.

Sample Metadata Fields

Subject

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accession-icon GSE7967
Activation of inflammation and nfkb signaling in infants born to arsenic exposed mothers
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We are investigating the transcriptional response of newborns in response to prenatal arsenic exposure

Publication Title

Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP029466
Homeostatic skin contains two different subsets of resident macrophages with distinct origin and gene profile.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We have found the existence of two independent populations contributing to the skin-resident macrophage pool based on their different origin. We have analyzed their gene profile by deep-sequencing (RNA-Seq). Analysis of RNA-Seq data revealed a differential expression signature between both subsets of skin macrophages for 744 of 17741 genes compiled (198 of them showing similar normalized expression levels across replicates). We have further characterized their specialized functions related to their different gene profiles. Overall design: Examination of gene profile of 2 different macrophage subsets coexisting in skin under steady state.

Publication Title

Pivotal role for skin transendothelial radio-resistant anti-inflammatory macrophages in tissue repair.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE18488
Yeast expression data from conditions that inhibit sirtuins
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Sir2 is an NAD+-dependent histone deacetylase, and is the founding member of a large, phylogentically conserved, family of such deacetylases called the Sirtuins. The budding yeast, Saccharomyces cerevisiae, harbors 4 paralogs of Sir2, known as Hst1, Hst2, Hst3, and Hst4. Reducing the intracellular NAD+ concentration is inhibitory for the Sirtuins, and raising the intracellular nicotinamide (NAM) concentration is inhibitory. Microarray gene expression analysis was used to identify novel classes of yeast genes whose expression is altered when either NAD+ concentration is reduced or NAM is elevated. A subset of genes involved in thiamine biosynthesis was identified as being upregulated when Sir2 or Hst1 was inactivated.

Publication Title

Thiamine biosynthesis in Saccharomyces cerevisiae is regulated by the NAD+-dependent histone deacetylase Hst1.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61341
Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The chronological lifespan (CLS) of Saccharomyces cerevisiae is defined as the number days that non-dividing cells remain viable, typically in stationary phase cultures or in water. CLS is extended by restricting glucose in the starting cultures, and is considered a form of caloric restriction (CR). Through a previous genetic screen our lab determined that deleting components of the de novo purine biosynthesis pathway also significantly increased CLS. Significant similarities in gene expression profiles between calorie restricted WT cells and a non-restricted ade4 mutant suggested the possibility of common gene expression biomarkers of all chronologically long lived cells that could also provide insights into general mechanisms of lifespan extension. We have identified additional growth conditions that extend CLS of WT cells, including supplementation of the media with isonicotinamide (INAM), a known sirtuin activator, or by supplementation with a concentrate collected from the expired media of a calorie restricted yeast culture, presumably due to an as yet unidentified longevity factor. Using these varied methods to extend CLS, we compared gene expression profiles in the aging cells (at day 8) to identify functionally relevant biomarkers of longevity. Nineteen genes were differentially regulated in all 4 of the long-lived populations relative to wild type. Of these 19 genes, viable haploid deletion mutants were available for 16 of them, and 12 were found to have a significant impact on CLS.

Publication Title

Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE107297
Bone density loci identified by genome-wide association studies segregate a lineage-specific PU.1-dependent gene regulatory network in osteoclasts
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 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

Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE107295
Bone density loci identified by genome-wide association studies segregate a lineage-specific PU.1-dependent gene regulatory network in osteoclasts [HsMmMicroarray]
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Similar temporal expression kinetics of transcription factors in human and mouse osteoclast differentiation evaluated by microarray

Publication Title

Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation.

Sample Metadata Fields

Specimen part

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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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