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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

View Samples
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
accession-icon SRP031496
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation [miRNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

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. Overall design: Since transcriptional programs are further modulated on several levels including miRNAs we assessed the global spectrum of miRNA expression by miRNA-Seq in macrophages stimulated with IFN?, IL4 or with the combination of TNFa, PGE2 and P3C

Publication Title

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

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17939
MEK5D-transfected HUVEC
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We expressed a constitutively active mutant of MEK5 (MEK5D) in human primary endothelial cells (EC) to study the transcriptional and functional responses to Erk5 activation under static conditions.

Publication Title

Erk5 activation elicits a vasoprotective endothelial phenotype via induction of Kruppel-like factor 4 (KLF4).

Sample Metadata Fields

Cell line

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accession-icon GSE26410
Inflammation leads to loss of smooth muscle cells but fails to induce invasiveness in a prostate tumor model
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Inflammation has a causal role in many cancers. In prostate cancers, epidemiological data suggest a link between prostatitis and subsequent cancer development, but a proof for this concept in a tumor model has been lacking. A constitutively active version of the IkappaB kinase 2 (IKK2), the molecule activated by a plethora of inflammatory stimuli, was expressed specifically in the prostate epithelium. Signaling of the IKK2/NF-kappaB axis was insufficient for transformation of prostate tissue. However, while PTEN+/- epithelia exhibited intraepithelial neoplasias only recognizable by nuclear alterations, additional IKK2 activation led to an increase in tumor size and formation of cribriform structures and to a fiber increase in the fibroblastic stroma. This phenotype was coupled with inflammation in the prostate gland characterized by infiltration of granulocytes and macrophages. Molecular characterization of the tissues showed a specific loss of smooth muscle markers as well as expression of chemokines attracting immune cells. Isolation of epithelial and stromal cells showed differential chemokine expression by these cells. Correlation studies showed the inflammatory phenotype coupled to loss of smooth muscle in infiltrated glands, but maintenance of the phenotype in glands where inflammation had decreased. Despite the loss of the smooth muscle barrier, tumors were not invasive in a stable genetic background. Data mining revealed that smooth muscle markers are downregulated in human prostate cancers and literature data show that loss of these markers in primary tumors is associated with subsequent metastasis. Our data show that loss of smooth muscle and invasiveness of the tumor are not coupled. Thus, inflammation during early steps of tumorigenesis can lead to increased tumor size and a potential change in the subsequent metastatic potential, but the tumor requires an additional transformation to become a carcinoma.

Publication Title

Persistent inflammation leads to proliferative neoplasia and loss of smooth muscle cells in a prostate tumor model.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE96719
Time-dependent regulation of cellular programming of monocytes by NCOR2
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE96703
Time-dependent regulation of cellular programming of monocytes by NCOR2 [Illumina array]
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Whole transcriptome profiling (Illumina Microarray) of human ex vivo lymphocytes and monocytes, as well as of human monocyte-derived cells generated in vitro by activating CD14+ monocytes with MCSF, GMCSF or the combination of GMCSF and IL4

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part

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accession-icon SRP102019
Time-dependent regulation of cellular programming of monocytes by NCOR2 [RNASeq_TK]
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Whole transcriptome profiling (RNA-Seq) of a time kinetics experiment containing human monocyte-derived cells, which were activated with IL4 either directly at the start of the culture, or at different hours after an initial activation with GMCSF alone. Cells being activated solely with GMCSF were added as controls Overall design: CD14+ monocytes were FACS-sorted from blood of human healthy donors and later activated in vitro with either GMCSF alone for 72 hours to obtain Mo-GMCSF[IL4 (0h)] cells as controls, with the combination of GMCSF and IL4 for 72 hours or 144 hours to obtain Mo-GMCSF[IL4 (0-72h)] or Mo-GMCSF[IL4 (0-144h)] cells, respectively, or with first GMCSF and then with the combination of GMCSF and IL4 for different durations. For the latter, monocytes were first activated with GMCSF for either 12, 24, 48 or 72 hours, and then with GMCSF plus IL4 until a total activation time of 144 hours. This resulted in Mo-GMCSF[IL4 (12-144h)], Mo-GMCSF[IL4 (24-144h)] , Mo-GMCSF[IL4 (48-144h)] and Mo-GMCSF[IL4 (72-144h)] cells, respectively.

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP102092
Time-dependent regulation of cellular programming of monocytes by NCOR2 [RNASeq_KD]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Whole transcriptome profiling (RNA-Seq) was performed on human Mo-GMCSF[IL4 (0-72h)] cells with either NCOR2 being knocked down or corresponding WT cells Overall design: CD14+ monocytes were FACS-sorted from blood of human healthy donors and later activated in vitro with the combination of GMCSF and IL4 for 72h to obtain Mo-GMCSF[IL4 (0-72h)] cells. During the last 24 hours of activation, either siRNAs targeting NCOR2 or scrambled RNAs were added to obtain NCOR2 knock down cells and corresponding WT cells, respectively

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE15139
Identification of genes effected by GM-CSF treatment in mature human neutrophils
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

The objective of this study was to compare the transcriptional repertoire of mature human neutrophils before and after GM-CSF treatment by using oligonucleotide microarrays.

Publication Title

RhoH/TTF negatively regulates leukotriene production in neutrophils.

Sample Metadata Fields

Specimen part

View Samples
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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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