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accession-icon GSE32034
Tissue-specific differences in PPAR control of macrophage function.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

PPAR is known for its anti-inflammatory actions in macrophages. However, which macrophage populations express PPAR in vivo and how it regulates tissue homeostasis in the steady state and during inflammation is not completely understood. We show that lung and spleen macrophages constitutively expressed PPAR, while other macrophage populations did not. Recruitment of monocytes to sites of inflammation was associated with induction of PPAR as they differentiated to macrophages. Its absence in these macrophages led to failed resolution of inflammation, characterized by persistent, low-level recruitment of leukocytes. Conversely, PPAR agonists supported an earlier cessation in leukocyte recruitment during resolution of acute inflammation and likewise suppressed monocyte recruitment to chronically inflamed atherosclerotic vessels. In the steady state, PPAR deficiency in macrophages had no obvious impact in the spleen but profoundly altered cellular lipid homeostasis in lung macrophages. Reminiscent of pulmonary alveolar proteinosis, LysM-Cre x PPARflox/flox mice displayed mild leukocytic inflammation in the steady-state lung and succumbed faster to mortality upon infection with S. pneumoniae. Surprisingly, this mortality was not due to overly exuberant inflammation, but instead to impaired bacterial clearance. Thus, in addition to its anti-inflammatory role in promoting resolution of inflammation, PPAR sustains functionality in lung macrophages and thereby has a pivotal role in supporting pulmonary host defense.

Publication Title

Systemic analysis of PPARγ in mouse macrophage populations reveals marked diversity in expression with critical roles in resolution of inflammation and airway immunity.

Sample Metadata Fields

Sex, Treatment

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accession-icon GSE42691
Aortic macrophages and endothelial cells of apoE KO mice aortas after plaque regression induced apoE adenoviral transfer
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Aortic macrophages and endothelial cells of apoE KO mice were sorted and analyzed by microarray 2 weeks after regression was induced by adenoviral transfer of apoE.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-2919
Transcription profiling by array of mouse sciatic nerve from wild type and YY1 conditional knock outs
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

RNA isolated from sciatic nerve of postnatal day 21 mice with conditional ablation of YY1 in the SChwann cells

Publication Title

Yy1 as molecular link between neuregulin and transcriptional modulation of peripheral myelination.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE57387
Transcriptome signature in early biopsies of stably functioning kidney allografts identify patients at risk for chronic injury
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Chronic injury in kidney transplants remains a major cause of graft loss. The aim of this study was to identify a predictive gene set capable of classifying renal grafts at risk for progressive injury due to fibrosis.The Genomics of Chronic Allograft Rejection (GoCAR) study is a prospective, multicenter study. Biopsies obtained prospectively 3 months after transplantation from renal allograft recipients (n=159) with stable renal function were analyzed for gene expression by microarray. Genes were sought which correlated with subsequent 12-month Chronic Allograft Damage Index (CADI) but neither CADI in the 3 month biopsy nor other histological or clinical parameters.

Publication Title

Biopsy transcriptome expression profiling to identify kidney transplants at risk of chronic injury: a multicentre, prospective study.

Sample Metadata Fields

Specimen part

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accession-icon GSE6764
Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiles of 75 tissue samples were analyzed representing the stepwise carcinogenic process from pre-neoplastic lesions (cirrhosis and dysplasia) to HCC, including four neoplastic stages (very early HCC to metastatic tumors) from patients with HCV infection. Gene signatures that accurately reflect the pathological progression of disease at each stage were identified and potential molecular markers for early diagnosis uncovered. Pathway analysis revealed dysregulation of the Notch and Toll-like receptor pathways in cirrhosis, followed by deregulation of several components of the Jak/STAT pathway in early carcinogenesis, then up-regulation of genes involved in DNA replication and repair and cell cycle in late cancerous stages.

Publication Title

Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27719
Lung adenocarcinoma invasion and progression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE27716
Expression data from Columbia Lung Adenocarcinoma Human Tumor Cells
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The World Health Organization has subclassified adenocarcinoma based upon predominant cell morphology and growth pattern such as bronchioloalveolar carcinoma (BAC), adenocarcinoma with mixed subtypes (AC-mixed), and homogenously invasive tumors with a variety of histological patterns

Publication Title

Progression of human bronchioloalveolar carcinoma to invasive adenocarcinoma is modeled in a transgenic mouse model of K-ras-induced lung cancer by loss of the TGF-β type II receptor.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE1577
T-ALL and T-lymphoblastic lymphoma
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LL) and are often thought to represent a spectrum of a single disease. The malignant cells in T-ALL and T-LL are morphologically indistinguishable, and they share the expression of common cell surface antigens and cytogenetic characteristics. However, despite these similarities, differences in the predominant sites of disease in T-ALL and T-LL are observed. To determine if underlying biological distinctions may potentially contribute to some of these differences, we analyzed the global gene expression profiles of malignant T-cell precursors in ten T-ALL and nine T-LL using DNA arrays. Ten additional B-precursor ALL bone marrow samples, were used in a separate analysis.

Publication Title

Gene expression profiling reveals intrinsic differences between T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16625
5-azacytidine and entinostat treatment of patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies. The patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML were treated with sequential administration of methylation inhibitor drugs (5AC and entinostat). To study gene expresion regulation in treated patients, microarray analysis was done on RNA samples extracted from CD34+ cells from 18 patients before and 15 days after treatment using Affymetrix U133Plus2.0.

Publication Title

Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE35226
Systems approach identifies HIPK2 as a critical regulator of kidney tubulointerstitial fibrosis
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used an integrated computational/experimental systems biology approach to identify upstream protein kinases that regulate gene expression changes in kidneys of HIV-1 transgenic mice (Tg26), which have significant tubulo-interstitial fibrosis (TIF) and glomerulosclerosis (GS). We identified the homeo-domain interacting protein kinase 2 (HIPK2) as a key regulator of TIF and GS. HIPK2 was upregulated in kidneys of Tg26 and patients with various kidney diseases. HIV infection increased the protein level of HIPK2 by promoting oxidative stress, which inhibited Siah1-mediated proteasomal degradation of HIPK2.

Publication Title

A systems approach identifies HIPK2 as a key regulator of kidney fibrosis.

Sample Metadata Fields

Sex, Specimen part, Cell line

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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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