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accession-icon SRP037775
mRNA profiling reveals determinants of trastuzumab efficiency in HER2-positive breast cancer
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines. Overall design: mRNA profiles of human breast cancer cell lines were generated by deep sequencing using Illumina HiSeq 2000. The cell lines BT474 and HCC1954 were analyzed with and without trastuzumab treatment. HCC1954 is known to be trastuzumab resistant. Additionally, the cell line BTR50 was generated as resistant version of BT474, and was analyzed with and without trastuzumab as well.

Publication Title

mRNA profiling reveals determinants of trastuzumab efficiency in HER2-positive breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP126449
Suppressive and stimulatory host processes during virus infection fate decisions
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus - immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. Here we characterized the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections by gene coexpression network analysis of time-resolved splenic transcriptomes. We found first, an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase. Overall design: mRNA profiles of spleens (in duplicate, days 0, 3, 5, 6, 7, 9 and 31 post-infection) and macrophages (in triplicate, day 6 post-infection) from C57BL/6 mice infected with 2x10E2 (acute) or 2x10E6 (chronic) pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Systems analysis reveals complex biological processes during virus infection fate decisions.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP071244
Lincomycin effect on PIFq-regulated transcriptome
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq experiment of WT and pifq mutant seedlings grown for 3 days in darkness in presence or absence of Lincomycin. Overall design: Transcriptome profiles of the wild-type (WT) and pif1pif3pif4pif5 (pifq) quadruple mutant seedlings grown for 3 days in the dark in presence or absence of Lincomycin. Biological triplicate samples were analyzed from libraries constructed using a 3''-capture, 5'' to 3'' directional method.

Publication Title

Phytochrome and retrograde signalling pathways converge to antagonistically regulate a light-induced transcriptional network.

Sample Metadata Fields

Subject

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accession-icon GSE13637
Influenza virus infected HUVEC
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To delineate specific patterns of signaling networks activated by H5N1 we used a comparative systems biology approach analyzing gene expression in endothelial cells infected with three different human and avian influenza strains of high and low pathogenicity.

Publication Title

Essential impact of NF-kappaB signaling on the H5N1 influenza A virus-induced transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22118
Effect of iodine on early stage thyroid autonomy
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Thyroid autonomy is a frequent cause of thyrotoxicosis in regions with iodine deficiency. Epidemiological data suggest that the prevalence of thyroid autonomy is not only inversely correlated with the ambient iodine supply, but that iodide may also influence the course of pre-existing thyroid autonomy with possibly different effects on thyroid growth and function.

Publication Title

Effect of iodine on early stage thyroid autonomy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE143559
Transcriptomic changes during senescence of leaves and fine roots of Populus trichocarpa
  • organism-icon Populus trichocarpa
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

We studied the changes that occur in gene transcription during seasonal senescence in Populus trichocarpa pioneer leaves and fine roots. Plant senescence is a strictly regulated physiological process that allows relocating of valuable nutrients from senescent tissues before death. It might be induced by internal or external factors and among them, phytohormones play an undoubtedly significant role. Senescence was extensively studied in leaves, but the aging of other ephemeral organs, located underground, and its drivers are still poorly understood. We focused on collective results to fill in the knowledge gap about senescence of fine, absorptive roots and leaves in order to check if there are universal mechanisms involved during plant organ senescence. Transcriptional profiling was conducted with the use of microarrays to identify genes involved in developmental PCD. Samples were collected three times during a growth season. The first collection was considered as a control and was collected in early summer (July 7–15) when leaves and the root system were fully developed and functional. The second group of leaf and root samples were harvested in early autumn (October 1–7) when chlorophyll levels in leaves had decreased by approximately 40% and when fine roots had changed in color from white to brown. The third group of samples were harvested in the middle of autumn (November 2–9) when chlorophyll levels in leaves decreased by approximately 65% and fine roots were dark brown or black color. Our results reveal the important role of phytohormones in regulating the senescence of both studied organs. The transcriptomic analyses showed significant changes in gene expression that are associated with phytohormones, especially with ABA and jasmonates. We conclude that phytohormonal regulation of senescence in roots and leaves is organ-specific. In roots, phytohormones are involved indirectly in regulation of senescence by increasing tolerance for cold or resistance for pathogens, whereas such correlation was not observed in leaves.

Publication Title

Allies or Enemies: The Role of Reactive Oxygen Species in Developmental Processes of Black Cottonwood (<i>Populus trichocarpa</i>).

Sample Metadata Fields

Specimen part

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accession-icon GSE27702
Highly Pathogenic Avian Influenza Viruses Avoid Effective Inflammatory Response of Human Macrophages
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Macrophages were infected with low (PR8) and high pathogenic influenza viruses (FPV and H5N1). To our surprise a genome-wide comparative systems biology approach revealed that in contrast PR8 infections with HPAIV H5N1 and FPV result in a reduced immune response of human macrophages contradicting a primary role of this cell type for the cytokine storm.

Publication Title

Highly pathogenic avian influenza viruses inhibit effective immune responses of human blood-derived macrophages.

Sample Metadata Fields

Specimen part

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accession-icon GSE40281
Signaling pathways of HPAIV
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Highly pathogenic avian influenza viruses (HPAIV) induce severe inflammation in poultry and men. There is still an ongoing threat that these viruses may acquire the capability to freely spread as novel pandemic virus strains that may cause major morbidity and mortality. One characteristic of HPAIV infections is the induction of a cytokine burst that strongly contributes to viral pathogenicity. It has been suggested, that this cytokine overexpression is an intrinsic feature of infected cells and involves hyperinduction of p38 mitogen activated protein kinase (MAPK). Here we investigate the role of MAPK p38 signaling in the antiviral response against HPAIV in mice as well as in endothelial cells, the latter a primary source for cytokines during systemic infections.

Publication Title

Inhibition of p38 mitogen-activated protein kinase impairs influenza virus-induced primary and secondary host gene responses and protects mice from lethal H5N1 infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE58771
Expression data from Arabidopsis thaliana root and piriformaspora indica during log and short term interaction
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Piriformospora indica, an endophytic fungus of Sebacinales, colonizes the roots of many plant species including Arabidopsis thaliana. The symbiotic interaction promotes plant per-formance, growth and resistance/tolerance against abiotic and biotic stress. We demonstrate that exudated compounds from the fungus activate stress and defense responses in the Arabidopsis roots and shoots before the two partners are in physical contact. They induce stomata closure, stimulate reactive oxygen species (ROS) production, stress-related phytohormone accumulation and activate defense and stress genes in the roots and/or shoots. Once a physical contact is established, the stomata re-open, ROS and phytohormone levels decline, and the gene expression pattern indicates a shift from defense to mutualistic interaction.

Publication Title

The interaction of Arabidopsis with Piriformospora indica shifts from initial transient stress induced by fungus-released chemical mediators to a mutualistic interaction after physical contact of the two symbionts.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE29458
Expression data from PDGF driven mouse tumors
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Glioblastoma models reveal the connection between adult glial progenitors and the proneural phenotype.

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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