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accession-icon SRP072352
Toxoplasma gondii remodels the cis-regulatory landscape of infected human host cells [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To study the host transcriptome of human fibroblasts after infection with T. gondii (Type I-RH). Overall design: Three bioloigcal replicates of uninfected HFFs and three biological replicates of T. gondii (Type I-RH) infected HFFs were sequenced using directional RNA-seq.

Publication Title

SMITE: an R/Bioconductor package that identifies network modules by integrating genomic and epigenomic information.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE27255
Targeting the MTOR-AKT pathway in DLBCL
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The mTOR (mammalian Target of Rapamycin) pathway is constitutively activated in Diffuse Large B-Cell Lymphoma (DLBCL). mTOR inhibition has been shown to have clinical activity in patients with DLBCL, although overall response rates remain low. We therefore evaluated differences in the transcriptome between DLBCL cell lines with differential sensitivity to the mTOR inhibitor Rapamycin, to (A) identify gene-expression patterns(GEP) capable of identifying sensitivity to Rapamycin, (B) understand the underlying mechanisms of resistance to Rapamycin in DLBCL and (C) identify bioactive molecules likely to synergize with mTOR inhibitors. Using Affymetrix HuGene ST 1.0 microarrays, we were able to identify a gene expression signature capable of accurately predicting sensitivity and resistance to Rapamycin in DLBCL cell lines. Pathway analysis identified the serine/threonine kinase Akt as central to the differentially-expressed gene network. Connectivity mapping of our datasets identified compounds targeting the AKT pathway with a high likelihood of reversing the GEP associated with resistance to Rapamycin. Specifically, we evaluated the HIV protease inhibitor (PI) Nelfinavir, which is known to have anti-cancer and Akt-inhibitory properties, as well as the small molecule Akt inhibitor MK-2206, for their potential to synergize with to Rapamycin in DLBCL. Nelfinavir and MK-2206 caused profound inhibition of cell viability in combination with Rapamycin in DLBCL cell lines. Low nanomolar concentrations of Rapamycin inhibited phosphorylation of Akt and also downstream targets of activated mTOR when used in combination with these Akt inhibitors. These findings have the potential to significantly improve patient selection for mTOR inhibitor therapy, and to improve rates and depths of response. More broadly, they support the use of global RNA expression and connectivity mapping to improve patient selection and identify synergistic drug combinations for cancer therapy.

Publication Title

Akt inhibitors MK-2206 and nelfinavir overcome mTOR inhibitor resistance in diffuse large B-cell lymphoma.

Sample Metadata Fields

Cell line

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accession-icon SRP059955
Characterization of pro- and anti-inflammatory activation states in embryonic stem cell derived microglia
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

Embryonic stem cell derived microglia (ESdM) were treated with different inflammatory stimulants to analyze their ability to adopt different activation states. These were characterized using ELISA, flow cytometry, quantitative real time PCR, and RNA-sequencing. Overall design: Analysis of cytokine secretion, cell surface marker, gene expression, and RNA-seq expression data of differentially activated ESdM

Publication Title

Characterization of inflammatory markers and transcriptome profiles of differentially activated embryonic stem cell-derived microglia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE119437
Nuclear FOXO1 promotes lymphomagenesis in germinal center B cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

FOXO1 acts as a tumor suppressor in solid tumors. The oncogenic PI3K pathway suppresses FOXO1 transcriptional activity by enforcing its nuclear exclusion upon AKT-mediated phosphorylation. We show here abundant nuclear expression of FOXO1 in Burkitt lymphoma (BL), a germinal center (GC) B cell derived lymphoma whose pathogenesis is linked to PI3K activation. Recurrent FOXO1 mutations which prevent AKT targeting and lock the transcription factor in the nucleus are used by BL to circumvent mutual exclusivity between PI3K and FOXO1 activation. Using genome editing in human and mouse lymphomas in which MYC and PI3K cooperate synergistically in tumor development we demonstrate pro-proliferative and anti-apoptotic activity of FOXO1 in BL and identify its nuclear localization as an oncogenic event in GC B cell derived lymphomagenesis.

Publication Title

Nuclear FOXO1 promotes lymphomagenesis in germinal center B cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP067960
Trascriptome of thyroid cancer-induced macrophages
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

RNA sequencing data of macrophages after differentiation in the presence of TPC1 thyroid cancer cell line Overall design: Co-incubation in trans-well system between TPC1 cell lines and human primary macrophages

Publication Title

Transcriptional and metabolic reprogramming induce an inflammatory phenotype in non-medullary thyroid carcinoma-induced macrophages.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP055890
Epigenomic landscapes of human inflammation associated macrophages [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiScanSQ

Description

We previously demonstrated by genomic and bioinformatical approaches that human macrophage (MF) activation is best described by a spectrum model (Xue et al, Immunity, 2014). MF integrate exogenous input signals on transcriptional level in a unique fashion to generate specific functional programs, enabling the plasticity in disease-related pathophysiologies. Such versatile responsiveness requires fast changes of transcription mediated by transcriptional regulators (TRs) or epigenomic changes. To better understand the principles of this regulation during human MF activation, we assessed histone modifications including H3K4me1, H3K4me3, H3K27me3, and H3K27Ac by ChIP-sequencing allowing us to characterize the functional state of promoters (active, poised, repressed) and enhancers (active, inactive, intermediate). Using transcriptome data from our MF spectrum model, we generated a co-regulation network of all TRs. Next, we overlaid epigenomic information and transcriptional changes of major TRs over time onto the TR network. We observed that input signals like IFN? or TNFa induce a specific network of TRs that are transcriptionally regulated themselves, the combination of regulated TRs changes over time with a boost of transcriptional regulation of dozens of TRs 4 to 12 hrs post input signal exposure, almost all TRs within the network show active promoters, even if the TR itself is not expressed, and similar results are obtained for enhancers with open or at least intermediated states. These findings strongly suggest that in MF, the TR-defined cellular ‘switch panel’ is always accessible thereby allowing MF to quickly respond to the diverse input signal repertoire from the environment. Overall design: Epigenetic analysis of promoter and enhancer sites in primary human macrophage subtypes and correlation to RNA-seq expression data

Publication Title

The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73125
Transcriptome-based profiling reveals a macrophage pedigree and identifies Irf8 as pivotal for macrophage homeostasis and function
  • organism-icon Mus musculus
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Recent studies have shown that tissue macrophages (MF) arise from embryonic progenitors of the yolk sac (YS) and fetal liver and colonize the tissues before birth. Further studies have proposed that developmentally distinct tissue MF can be identified based on the differential expression of F4/80 and CD11b, but whether a characteristic transcriptional profile exists is largely unknown. Here, we established an inducible fate mapping system that facilitated the identification of A2 progenitors of the YS as source of F4/80hi but not CD11bhi MF. Large-scale transcriptional profiling of MF precursors from the YS until adulthood allowed the description of a complex MF pedigree. We further identified a distinct molecular signature of F4/80hi and CD11bhi MF and found that Irf8 was vital for MF maturation and the innate immune response. Our data provide new cellular and molecular insights into the origin and developmental pathways of tissue MF.

Publication Title

Transcriptome-based profiling of yolk sac-derived macrophages reveals a role for Irf8 in macrophage maturation.

Sample Metadata Fields

Specimen part

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accession-icon SRP113585
Therapeutic targeting of macrophages improves chemotherapy response and elicits neutrophil-dependent therapy resistance
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

Macrophages and neutrophils are almost invariably the most abundant intratumoral immune cells, and recent studies have revealed a sinister role for these cells in limiting chemotherapy efficacy. However, how these tumor-educated myeloid cells influence chemotherapy response is incompletely understood. Targeting tumor-associated macrophages by CSF-1 receptor (CSF-1R) blockade in a pre-clinical transgenic mouse model for breast cancer improved the anti-cancer efficacy of cisplatin. Importantly, our findings reveal that macrophage blockade in combination with cisplatin treatment evokes a compensatory neutrophil response limiting the therapeutic synergy of this therapy combination. Here we characterize neutrophils and macrophages gene expression profile from the tumor of mice treated with anti-CSF-1R, Control antibody, Cisplatin/anti-CSF-1R or cisplatin/control ab. Overall design: Intervention studies combining anti-CSF1R and chemotherapy in a transgenic mouse model for breast cancer.

Publication Title

Therapeutic targeting of macrophages enhances chemotherapy efficacy by unleashing type I interferon response.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE47189
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation
  • organism-icon Homo sapiens
  • sample-icon 186 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome-based network analysis reveals a spectrum model of human macrophage activation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE46903
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation [Expression]
  • organism-icon Homo sapiens
  • sample-icon 186 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human macrophages with diverse activation signals, acquiring a dataset of 299 macrophage transcriptomes. Analysis of this dataset revealed a spectrum of macrophage activation states extending the current M1 versus M2-polarization model. Network analyses identified central transcriptional regulators associated with all macrophage activation complemented by regulators related to stimulus-specific programs. Applying these transcriptional programs to human alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected loss of inflammatory signatures in COPD patients. Finally, by integrating murine data from the ImmGen project we propose a refined, activation-independent core signature for human and murine macrophages. This resource serves as a framework for future research into regulation of macrophage activation in health and disease.

Publication Title

Transcriptome-based network analysis reveals a spectrum model of human macrophage activation.

Sample Metadata Fields

Subject, Time

View Samples

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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