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accession-icon GSE48217
Identification of Adaptive mutations in the influenza A virus non-structural 1 gene that increase cytoplasmic localization and differentially regulate host gene expression
  • organism-icon Mus musculus
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The NS1 protein of influenza A virus (IAV) is a multifunctional virulence factor. Mouse adaptive mutations in the NS1 protein of the human isolate A/Hong Kong/1/1968(H3N2) (HK) have been previously reported to increase virulence, viral fitness, and interferon antagonism, but differ in binding to post-transcriptional processing factor CPSF30. Because nuclear trafficking is a major genetic determinant of influenza virus host adaptation, we assessed subcellular localization and host gene expression of NS1 adaptive mutations. Recombinant HK viruses with adaptive mutations in the NS1 gene were assessed for NS1 protein subcellular localization in mouse and human cells using confocal microscopy and cellular fractionation. HK-wt virus NS1 partitioned equivalently between the cytoplasm and nucleus in human cells but was defective in cytoplasmic localization in mouse cells. The adaptive mutations either increased the proportion or abundance of NS1 in the cytoplasm, and/or the nucleus. NS1 mutations that increased cytoplasmic distribution identified a putative second nuclear export signal (NES) spanning aa positions 98-106 LSEDWFMLM, (mutation sites in bold); with the strongest effect seen for mutation M106I. The putative NES in the NS3 protein was associated with cytoplasmic localization. The host gene expression profile of the adaptive mutants was determined by microarray analysis of infected mouse cells to show either high or low gene regulation (HGR or LGR) phenotypes that mapped to the amino-terminal and the carboxy-terminal regions respectively. The HGR and LGR mutations were predominantly down regulating versus up regulating respectively. The greatest effect on host gene expression in the HGR group correlated with the ability of the NS1 protein to bind CPSF30. To our knowledge this is the first report of roles of adaptive NS1 mutations that affect intracellular localization and regulation of host gene expression.

Publication Title

Identification of adaptive mutations in the influenza A virus non-structural 1 gene that increase cytoplasmic localization and differentially regulate host gene expression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE61725
Novel transcripts associated with lymph node metastasis in triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE61724
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [validation cohort]
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE61723
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [discovery cohort]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

View Samples
accession-icon GSE48200
Influenza A/Hong Kong/156/1997(H5N1) virus NS1 gene mutations F103L and M106I both increase IFN antagonism, virulence and cytoplasmic localization but differ in binding to RIG-I and CPSF30
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene transcription effects of mutations in the infuenza virus A/Hong Kong/1/1968(H3N2) nonstructural 1 NS1 gene in infected human A549 (lung epithilium) cells

Publication Title

Influenza A/Hong Kong/156/1997(H5N1) virus NS1 gene mutations F103L and M106I both increase IFN antagonism, virulence and cytoplasmic localization but differ in binding to RIG-I and CPSF30.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE10658
IL-9/mast cell-mediated intestinal permeability predispose to oral antigen hypersensitivity
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Small intestine of a pool of three Wt mice and a pool of 3 IL-9tg mice in a balb/c backround.

Publication Title

IL-9- and mast cell-mediated intestinal permeability predisposes to oral antigen hypersensitivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10191
Human colon expression in healthy controls and UC
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Activation of inflammatory pathways in human IBD. Leukocyte recruitment pathways including those for eosiniphils are activated in the affected colon in IBD. However, the functional implications of this are not known. We hypothesized that pro-inflammatory eotaxin (CCL11) dependent networks would be up regulated in the colon of pediatric patients with Ulcerative Colitis (UC), and that these would regulate eosinophil recruitment to the gut. These experiments tested differential colon gene expression relative to these pathways in healthy and UC samples. Colon biopsy samples were obtained from UC patients at diagnosis, and healthy controls. The global pattern of gene expression was determined using GeneSpring software, and biological networks were identified using Ingenuity software. Data suggested that a leukocyte recruitment network which includeds CCL11 is up regulated in pediatric UC at diagnosis. The degree of up regulation of these genes compared to healthy controls was remarkably conserved within the UC patient group, suggesting common mechanisms of mucosal inflammation.

Publication Title

Intestinal macrophage/epithelial cell-derived CCL11/eotaxin-1 mediates eosinophil recruitment and function in pediatric ulcerative colitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP154973
Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparing the relative proportions of immune cells in tumor and adjacent normal tissue from NSCLC patients demonstrates the early changes of tumor immunity and provides insights to guide immunotherapy design. We mapped the immune ecosystem using computational deconvolution of bulk transcriptome data from the Cancer Genome Atlas (TCGA) and single cell RNA sequencing (scRNA-seq) data of dissociated tumors from early-stage non-small cell lung cancer (NSCLC) to investigate early immune landscape changes occurring during tumorigenesis. Computational deconvolution of immune infiltrates in 44 NSCLC and matching adjacent normal samples from TCGA showed heterogeneous patterns of alterations in immune cells. The scRNA-seq analyses of 11,485 cells from 4 treatment-naïve NSCLC patients comparing tumor to adjacent normal tissues showed diverse changes of immune cell compositions. Notably, CD8+ T cells and NK cells are present at low levels in adjacent normal tissues, and are further decreased within tumors. Myeloid cells exhibited marked dynamic reprogramming activities, which were delineated with differentiation paths through trajectory analysis. A common differentiation path from CD14+ monocytes to M2 macrophages was identified among the 4 cases, accompanied by up-regulated genes (e.g. ALCAM/CD166, CD59, IL13RA1, IL7R) with enriched functions (adipogenesis, lysosome), and down-regulated genes (e.g. CXCL2, IL1B, IL6R) with enriched functions (TNFa signaling via NF-kB, inflammatory response). Computational deconvolution and single cell sequencing analyses have revealed a highly dynamic immune reprogramming that occurs in early stage NSCLC development, suggesting that normalizing both immune compartments may represent a viable strategy for treatment of early stage cancer and prevention of progression. Overall design: Map the immune ecosystem using computational deconvolution of bulk transcriptome data from the Cancer Genome Atlas (TCGA) and single cell RNA sequencing (scRNA-seq) data of dissociated tumors from from early-stage non-small cell lung cancer (NSCLC) to investigate early immune landscape changes occurring during tumorigenesis

Publication Title

Dissecting intratumoral myeloid cell plasticity by single cell RNA-seq.

Sample Metadata Fields

Sex, Specimen part, Disease, Race, Subject

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accession-icon SRP135678
Transcriptional analysis of in vivo responses to acetaminophen induced hepatic injury in the murine liver
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Liver injury results in rapid regeneration through hepatocyte proliferation and hypertrophy. However, after acute severe injury, such as acetaminophen poisoning, effective regeneration may fail. We investigated how senescence underlies this regenerative failure. In human acute liver disease, and murine models, p21-dependent hepatocellular senescence was proportionate to disease severity and was associated with impaired regeneration. In an acetaminophen injury model a transcriptional signature associated with the induction of paracrine senescence is observed within twenty four hours, and is followed by one of impaired proliferation. In genetic models of hepatocyte injury and senescence we observed transmission of senescence to local uninjured hepatocytes. Spread of senescence depended upon macrophage derived TGFß1 ligand. In acetaminophen poisoning inhibition of TGFß receptor 1 (TGFßR1) improved survival. TGFßR1 inhibition reduced senescence and enhanced liver regeneration even when delivered after the current therapeutic window. This mechanism, in which injury induced senescence impairs regeneration, is an attractive therapeutic target for acute liver failure. Overall design: RNA-seq analysis was performed on a total of 24 samples extracted from murine liver, post hepatic injury induced by acetaminophen administration. Transcriptional profiles were from replicate samples generated at defined timepoints - 12, 24, 36, 48 and 72 hours post injury. Replicate samples were generated from 4 individual animals sacrificed at each timepoint, and compared to a control cohort of 4 animals not subjected to acetaminophen treatment.

Publication Title

TGFβ inhibition restores a regenerative response in acute liver injury by suppressing paracrine senescence.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE17895
Somatic Mutation Screen of Clear Cell RCC
  • organism-icon Homo sapiens
  • sample-icon 109 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

Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes.

Sample Metadata Fields

No sample metadata fields

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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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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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