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accession-icon GSE57728
Expression data from AsPC1 cells treated with ICG-001
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The CREB binding protein inhibitor ICG-001 suppresses pancreatic cancer growth

Publication Title

The CREB-binding protein inhibitor ICG-001 suppresses pancreatic cancer growth.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE56549
Perception of fight outcome is needed to activate socially driven changes in brain transcriptome
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Group living animals must be able to express different behavior profiles depending on their social status. This implies that the same genotype may translate into different behavioral phenotypes through socially driven differential gene expression. Here we show for the first time that what triggers the switch between status-specific neurogenomic states is not the objective structure of the social interaction but rather the subjects perception of its outcome. For this purpose we had male zebrafish fight either a real opponent or their own image on a mirror. Massive changes in the brain transcriptome were observed in real opponent fighters, which experience either a victory or a defeat. In contrast, mirror fighters, which had no information on fight outcome despite expressing aggressive behavior, failed to activate a neurogenomic response. These results indicate that, even in cognitively simple organisms such as zebrafish, neurogenomic responses underlying changes in social status rely on cognitive appraisal.

Publication Title

Assessment of fight outcome is needed to activate socially driven transcriptional changes in the zebrafish brain.

Sample Metadata Fields

Specimen part

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accession-icon SRP056004
LRP8-Reelin-regulated Neuronal (LRN) Enhancer signature underlying learning and memory formation (RNA-Seq 1)
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A comprehensive landscape of epigenomic events regulated by the Reelin signaling through activation of specific cohort of cis-regulatory enhancer elements (LRN-enhancers), which involves the proteolytical processing of the LRP8 receptor by the gamma-secretase activity and is required for learning and memory behavior Overall design: All RNA-Seq experiments were designed to evaluate the transcriptional program regulated by the Reelin-LRP8 signaling pathway in neuronal cells

Publication Title

LRP8-Reelin-Regulated Neuronal Enhancer Signature Underlying Learning and Memory Formation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34156
Human monocyte activation with NOD2L vs. TLR2/1L
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

human blood monocytes were isolated, activated and harvested at several timepoints

Publication Title

NOD2 triggers an interleukin-32-dependent human dendritic cell program in leprosy.

Sample Metadata Fields

Specimen part

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accession-icon SRP076097
TLR2/1 ligand and IFN-g inducible genes in human monocyte-derived macrophages (MDMs)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome profiles for innate and adaptive immune stimuli important for host response against mycobacteria. Human monocyte-derived macrophages were stimulated with TLR2/1 ligand and interferon-g, stimuli present during innate and adaptive immune responses, respectively. Overall design: Human monocyte-dervided macrophages from five healthy donors were stimulated with TLR2/1L, IFN-g, or media control for 2, 6, and 24 hours. RNA-sequencing was performed on a total of 45 samples.

Publication Title

S100A12 Is Part of the Antimicrobial Network against Mycobacterium leprae in Human Macrophages.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE59184
Microarray analysis adherent peripheral blood mononuclear cells stimulated with IL-10, IL-15, and IL-4
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tuberculosis remains a major cause of death from an infectious disease worldwide, yet only 10% of people infected with Mycobacterium tuberculosis develop disease. Defining both necessary and sufficient immunologic determinants of protection remains a great scientific challenge. Analysis of peripheral blood gene expression profiles of active tuberculosis patients has identified correlates of risk for disease or pathogenesis. We sought to identify human potential candidate markers of host defense by studying gene expression profiles of macrophages, cells which, upon infection by M. tuberculosis, can mount an antimicrobial response. Weighted gene co-expression network analysis revealed an association between the cytokine, IL-32, and the vitamin D antimicrobial pathway in a network of IFN- and IL-15 induced defense response genes. IL-32 was sufficient for induction of the vitamin D-dependent antimicrobial peptides, cathelicidin and DEFB4, and generation of antimicrobial activity in vitro, dependent on the presence of adequate 25-hydroxyvitamin D. The IL-15 induced defense response macrophage gene network was integrated with ranked pairwise comparisons of gene expression from five different clinical data sets of latent vs. active tuberculosis or healthy controls, and a co-expression network derived from gene expression in patients with tuberculosis undergoing chemotherapy. Together, these analyses identified eight common genes, including IL-32, as molecular markers of latent tuberculosis and the IL-15 induced gene network. Inferring that maintaining M. tuberculosis in a latent state and preventing transition to active disease represents host resistance, we believe these results identify IL-32 as one functional marker and potential correlate of protection against active tuberculosis.

Publication Title

IL-32 is a molecular marker of a host defense network in human tuberculosis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE17763
Divergence of macrophage phagocytic and antimicrobial programs in leprosy
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Effective innate immunity against many microbial pathogens requires macrophage programs that upregulate phagocytosis and direct antimicrobial pathways, two functions generally assumed to be coordinately regulated. Here the regulation of these key functions was investigated in human blood-derived macrophages. IL-10 induced the phagocytic pathway, including CD209 and scavenger receptors, resulting in phagocytosis of mycobacteria and oxLDL. IL-15 induced the vitamin D-dependent antimicrobial pathway and CD209, yet the cells were less phagocytic. The differential regulation of macrophage functional programs was confirmed by analysis of the spectrum of leprosy lesions: the macrophage phagocytosis pathway was prominent in the clinically progressive, multibacillary form, whereas the vitamin D-dependent antimicrobial pathway predominated in the self-limited form of the disease and in patients undergoing reversal reactions from the multibacillary to the self-limited form. These data indicate that macrophage programs for phagocytosis and antimicrobial responses are distinct and differentially regulated in innate immunity in bacterial infections.

Publication Title

Divergence of macrophage phagocytic and antimicrobial programs in leprosy.

Sample Metadata Fields

Specimen part

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accession-icon GSE84893
Integration of cell type deconvolution with immune pathways identifies gene networks of host defense and immunopathology in leprosy
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome profiles derived from the site of human disease has led to the identification of genes that contribute to pathogenesis, yet the complex mixture of cell types in these lesions has been an obstacle for defining specific mechanisms. Leprosy provides an outstanding model to study host defense and pathogenesis in a human infectious disease, given its clinical spectrum which interrelates with the host immunologic and pathologic responses. Here, we investigated gene expression profiles derived from skin lesions for each clinical subtype of leprosy, analyzing gene co-expression modules by cell type deconvolution. In lesions from tuberculoid leprosy patients, those with the self-limited form of the disease, dendritic cells were linked with MMP12 as part of a tissue remodeling network that contributes to granuloma formation. In lesions from lepromatous leprosy patients, those with disseminated disease, macrophages were linked with a gene network that programs phagocytosis. In erythema nodosum leprosum, neutrophil and endothelial cell gene networks were identified as part of the vasculitis that results in tissue injury. The present integrated computational approach provides a systems approach towards identifying cell-defined functional networks that contribute to host defense and immunopathology at the site of human infectious disease.

Publication Title

Cell-type deconvolution with immune pathways identifies gene networks of host defense and immunopathology in leprosy.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE43700
Microarray analysis of IL-10 stimulated adherent peripheral blood mononuclear cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The immune mechanisms that control resistance vs. susceptibility to mycobacterial infection in humans were investigated by studying leprosy skin lesions, the site where the battle between the host and the pathogen is joined. Using an integrative genomics approach, we found an inverse correlation between of IFN-beta and IFN-gamma gene expression programs at the site of disease. The Type II IFN, IFN-gamma and its downstream vitamin D-dependent antimicrobial genes were preferentially expressed in the lesions from patients with the self-healing tuberculoid form of the disease and mediated antimicrobial activity against the pathogen, Mycobacterium leprae in vitro. In contrast, the Type I IFN, IFN-beta and its downstream genes, including IL-27 and IL-10, were induced in monocytes by M. leprae in vitro, and were preferentially expressed in the lesions of disseminated and progressive lepromatous form. The IFN-gamma induced macrophage antimicrobial response was inhibited by IFN-beta/IL-10, by a mechanism involving blocking the generation of bioactive 1,25-dihyroxy vitamin D as well as inhibiting induction of antimicrobial peptides cathelicidin and DEFB4. The ability of IFN-B to inhibit the IFN-gamma induced vitamin D pathway including antimicrobial activity was reversed by neutralization of IL-10, suggesting a possible target for therapeutic intervention. Finally, a common IFN-beta and IL-10 gene signature was identified in both the skin lesions of leprosy patients and in the peripheral blood of active tuberculosis patients. Together these data suggest that the ability of IFN-beta to downregulate protective IFN-gamma responses provides one general mechanism by which some bacterial pathogens of humans evade protective host responses and contribute to pathogenesis.

Publication Title

Type I interferon suppresses type II interferon-triggered human anti-mycobacterial responses.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP187520
Gene expression atlas of a developing tissue by single cell expression correlation analysis
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 550, Illumina HiSeq 2500

Description

The Drosophila wing disc has been a fundamental model system for the discovery of key signaling pathways and for our understanding of developmental processes. However, a complete map of gene expression in this tissue is lacking. To obtain a complete gene expression atlas in the wing disc, we employed single-cell sequencing (scRNA-seq) and developed a new method for analyzing scRNA-seq data based on gene expression correlations rather than cell mappings. This enables us to discover 824 genes with spatially restricted expression patterns, and to compute expression maps for all genes in the wing disc. This approach identifies both known and new clusters of genes with similar expression patterns and functional relevance. As proof of concept, we characterize the previously unstudied gene CG5151 and show it regulates Wnt signaling. This novel method will enable the leveraging of scRNA-seq data for generating expression atlases of undifferentiated tissues during development. Overall design: Single cell transcriptome experiments from female wandering 3rd instar wing discs were generated: two samples using Drop-seq and one sample using the 10x genomics platform. Bulk polyA-RNA-seq experiment from the same tissue was conducted for comparison.

Publication Title

Gene expression atlas of a developing tissue by single cell expression correlation analysis.

Sample Metadata Fields

Sex, Specimen part, Subject

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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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