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Global gene expression profiling using total RNA [BMM, MPI and SPG]

ABSTRACT: Differentiation of myeloid progenitor cells leads to distinct populations of mononuclear phagocytes.Various macrophages exhibit distinct biological properties. Here wanted to delineate and characterize gene expression patterns in bone marrow derived macrophages Here wanted to delineate and characterize gene expression patterns in two newly established, self-renewing, in vitro grown non-transformed lines (MPI cells) and in the SP37A3 immature myeloid dendritic cell line. We used microarrays to detail the global programme of gene expression in MPI cells and to compare them to other types of mononuclear phagocytes. [BMM] Total cellular RNA from ex vitro differentiated bone marrow derived macrophages was extracted and hybridized to Affymetrix microarrays to carry out cluster analysis and overlap and gene set analysis for enriched pathways. [MPI and SPG] Total cellular RNA from independently established MPI lines and a splenic immature dendritic cell line was extracted and hybridized to Affymetrix microarrays to carry out cluster analysis and overlap and gene set analysis for enriched pathways.

ORGANISM(S): Mus musculus

SUBMITTER: Sarah Diehl

PROVIDER: E-GEOD-47473 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Global gene expression profiling using total RNA [BMM, MPI and SPG]

Project description:Differentiation of myeloid progenitor cells leads to distinct populations of mononuclear phagocytes.Various macrophages exhibit distinct biological properties. Here wanted to delineate and characterize gene expression patterns in bone marrow derived macrophages Here wanted to delineate and characterize gene expression patterns in two newly established, self-renewing, in vitro grown non-transformed lines (MPI cells) and in the SP37A3 immature myeloid dendritic cell line. We used microarrays to detail the global programme of gene expression in MPI cells and to compare them to other types of mononuclear phagocytes.

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Global gene expression profiling using newly synthesized RNA [mock and LPS]

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Changes in glycogene expression during maturation of dendritic cells

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Next Generation Sequencing Facilitates Quantitative Analysis of dendritic cell Transcriptomes during LPS response

Project description:Purpose:The purpose of this study is to detect activated or silenced genes during LPS-induced dendritic cell. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis. Methods:Mouse dendritic cells were generated from bone marrow cells in RPMI-1640 medium with recombinant mouse GM-CSF and IL-4, immature DCs were obtained before or after LPS stimulation. Immature DCs were sorted respectively based on marker CD86 and Iab(MHCII) using flowcytrometer. DC mRNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 10 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation during LPS stimulation. DC mRNA profiles immature BMDCs were generated by deep sequencing

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A miR-155-ruled microRNA hierarchy in dendritic cell maturation and macrophage activation

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Real-time quantitative PCR analysis of human dendritic cells

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