Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse primary microglial cultures with and without neurovirulent (FrCasE) and non-neurovirulent (Fr57E) virus infection

ABSTRACT: We undertook a survey of gene expression changes in primary microglial cultures with and without neurovirulent (FrCasE) and non-neurovirulent (Fr57E) virus infection to identify physiological changes that could be relevant to the induction of spongiform neurodegeneration. These gene expression analyses were performed using Affymetrix 430A mouse GeneChips (5 chips for each of the three experimental conditions, representing over 14,000 murine genes and ESTs. RNA from 5 separate microglial culture preparations were analyzed for Control (mock infected), Fr57E-, and FrCasE-infected microglia. Present/absent calls were based on MicroArray Suite 5.0 from Affymetrix. Affymetrix CEL files were analyzed using dChip software after normalization of the data between all 15 arrays. Statistical analyses were performed using ANOVA.

INSTRUMENT(S): 418 [Affymetrix]

ORGANISM(S): Mus musculus

SUBMITTER: L. Gwenn Volkert

PROVIDER: E-MEXP-459 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression profiling of microglia infected by a highly neurovirulent murine leukemia virus: implications for neuropathogenesis.

Dimcheff Derek E DE Volkert L Gwenn LG Li Ying Y DeLucia Angelo L AL Lynch William P WP

Retrovirology 20060512

<h4>Background</h4>Certain murine leukemia viruses (MLVs) are capable of inducing progressive spongiform motor neuron disease in susceptible mice upon infection of the central nervous system (CNS). The major CNS parenchymal target of these neurovirulent retroviruses (NVs) are the microglia, whose infection is largely coincident with neuropathological changes. Despite this close association, the role of microglial infection in disease induction is still unknown. In this paper, we investigate the ...[more]

PMID: 16696860

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Project description:Sheep scrapie (Sc) is the classical transmissible spongiform encephalopathy (prion disease). The conversion of normal cellular prion protein (PrPC) to disease-associated prion protein (PrPSc) is a fundamental component of prion disease pathogenesis. The molecular mechanisms contributing to prion diseases and the impact of PrPSc accumulation on cellular biology are not fully understood. To define the molecular changes associated with PrPSc accumulation, primary sheep microglia were inoculated with PrPSc and then the transcriptional profile of these PrPSc-accumulating microglial cells was compared to the profile of PrPSc-lacking microglial cells using the Affymetrix Bovine Genome Array. The experimental design included three biological replicates, each with three technical replicates, and samples that were collected at the point of maximal PrPSc accumulation levels as measured by ELISA. The array analysis revealed 19 upregulated genes and 30 downregulated genes in PrPSc-accumulating microglia. Three transcripts (CCL2, SGK1, and AASDHPPT) were differentially regulated in a direction similar to previous reports from mouse or human models, whereas the response of three other transcripts (MT1E, NR4A1, PKP2) conflicted with previous reports. Overall, the results demonstrated a limited transcriptional response to PrPSc accumulation, when compared to microglia and macrophage cultures infected with other agents such as viruses and bacteria. This is the first microarray-based analysis of prion accumulation in primary cells derived from a natural TSE-host. Experiment Overall Design: Primary sheep microglial cells were either inoculated with PrPSc (Inoc) or sham-inoculated (Mock) Experiment Overall Design: Three biological replicates per treatment. Experiment Overall Design: Three technical replicates per biological replicate. Experiment Overall Design: biological replicate: Inoc12A, Inoc12B.2, Inoc12C Experiment Overall Design: biological replicate: Mock12A, Mock12B.2, Mock12C Experiment Overall Design: technical replicate - extract: Inoc12A.1, Inoc12A.2, Inoc12A.3 Experiment Overall Design: technical replicate - extract: Inoc12B.2.1, Inoc12B.2.2, Inoc12B.2.3 Experiment Overall Design: technical replicate - extract: Inoc12C.1, Inoc12C.2, Inoc12C.3 Experiment Overall Design: technical replicate - extract: Mock12A.1, Mock12A.2, Mock12A.3 Experiment Overall Design: technical replicate - extract: Mock12B.2.1, Mock12B.2.2, Mock12B.2.3 Experiment Overall Design: technical replicate - extract: Mock12C.1, Mock12C.2, Mock12C.3

Project description:Since macrophage activation can now be studied at a global level using modern microarray and proteomic analyses, discovery of novel macrophage activation genes is inevitable and important for understanding HIV-associated dementia (HAD). We isolated two different types of primary human macrophages, microglia and monocyte-derived macrophages (MDM) from brain tissue and whole blood respectively. The microarray analysis of differentially regulated macrophage activation genes reported here supports our previous assertions that the mixed glia (MIX) cultured in starvation conditions (DMEM alone) are a non-activated, or quiescent, tissue culture model for studying macrophage activation in the brain. Transcript levels from these quiescent cultures provided a background level of gene expression, and allowed for the identification of upregulated macrophage activation genes in the MIX brain cultures upon treatment with an array of soluble activation factors: serum components, cytokines, and growth factors. We found that 914 genes in the MIX cultures and 734 genes in the MDM cultures had a greater than 2-fold increase in expression. We discovered 180 genes that were increased greater than 2 fold in both culture types. Microarray-specific statistical analyses were performed to complement fold change analysis: Significance Analysis of Microarrays (SAM), and Partek Pro. In the MIX cultures, we detected over a hundred fold increase in IL-1? and TIMP1 transcription; Caspase 9, S100A8 and 9, MMP-12, IL-8, MCP-1, MRC-1, and IL-6 were also upregulated. Activation of starved MDM cultures resulted in fewer upregulated genes compared to MIX cultures. Genes upregulated in both MIX and MDM included CCL2 (MCP1), CCL7, CXCL5, TNFSF14, kinases, and phosphatases. These microarray data may provide leads for identifying previously unknown neurotoxins, disease biomarkers, and pathways responsible for the neuronal apoptosis observed in HAD, and for the eventual identification of therapeutic targets and treatments. For each gene, we performed a per-gene normalization, whereby an expression ratio was calculated by dividing the raw data from the activated media samples by the raw signal for the same gene from the non-activated media samples (Fig. 1). The same microarray data were also analyzed again using the very common per-chip normalization method recommended by the manufacturer where raw signals for each chip were multiplied by a scaling factor such that the trimmed mean for each chip became an arbitrary number (150) (Affymetrix, 2001). The per-chip normalization method reduces person-to-person biological variability and potentially hides important changes in gene expression (Hill et al., 2001),(Bolstad et al., 2003). Therefore, we report our data using a per-gene normalization method, which yielded higher signal and low noise (uninteresting non-biological variability caused by chips, and/or experimental sample preparation), and given our experimental design, reduced person-to-person variability that these experiments cannot address directly. For later statistical analyses, the data were log transformed in order to obtain a normal distribution of the expression values of the >12,625 genes (Bolstad et al., 2003)

Dataset Information

Transcription profiling of mouse primary microglial cultures with and without neurovirulent (FrCasE) and non-neurovirulent (Fr57E) virus infection

Publications

Gene expression profiling of microglia infected by a highly neurovirulent murine leukemia virus: implications for neuropathogenesis.

Similar Datasets

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