Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse double negative thymocytes

ABSTRACT: In order to understand the molecular mechanisms of DN thymocyte development, it may be also of use to clarify how these developmental processes are regulated in terms of their entire gene expression, to which cell differentiation is ultimately ascribed. In the current study, we approached this issue by investigating gene expression profiles in discrete subsets of DN thymocytes under development, in which DN2, DN3, and DN4 thymocytes were sorted and subjected to expression profiling analysis with high-density oligonucleotide microarrays. Experiment Overall Design: The DN2, DN3, and DN4 populations were FACS-sorted from DN thymocytes harvested from four C57BL/6 mice and analyzed by AffymetrixÂ® Mouse Genome 430 2.0 ArrayÂ® for gene expression. Four independent experiments were performed using 16 mice.

ORGANISM(S): Mus musculus

SUBMITTER: Masahito Kawazu

PROVIDER: E-GEOD-7784 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Expression profiling of immature thymocytes revealed a novel homeobox gene that regulates double-negative thymocyte development.

Kawazu Masahito M Yamamoto Go G Yoshimi Mayumi M Yamamoto Kazuki K Asai Takashi T Ichikawa Motoshi M Seo Sachiko S Nakagawa Masahiro M Chiba Shigeru S Kurokawa Mineo M Ogawa Seishi S

Journal of immunology (Baltimore, Md. : 1950) 20071001 8

Intrathymic development of CD4/CD8 double-negative (DN) thymocytes can be tracked by well-defined chronological subsets of thymocytes, and is an ideal target of gene expression profiling analysis to clarify the genetic basis of mature T cell production, by which differentiation of immature thymocytes is investigated in terms of gene expression profiles. In this study, we show that development of murine DN thymocytes is predominantly regulated by largely repressive rather than inductive activitie ...[more]

PMID: 17911620

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Project description:Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. To better understand the physiological role of these differential dynamic changes in the DCs, we measured the genome-wide RNA expression of all four DC subpopulations from lung of influenza infected mice at four time points following infections (two mice per time-point). For sorting dendritic cells from lungs, the lungs from infected and control uninfected C57BL/6J mice were immersed in cold PBS, cut into small pieces in 5 ml DMEM media containing 10% Bovine Fetal Serum, the cell suspensions were grinded using 1ml syringe cup on a 70 μm cell strainers (BD Falcon). The cells were washed with ice cold PBS. Remaining red blood cells were lysed using ammonium chloride solution (Sigma). Cells were harvested, immersed 1ml FACS buffer [PBS+2% FBS, 1mM EDTA], Fc receptors were blocked with anti-mouse CD16/CD32, washed with FACS buffer and divided into two tubes for sorting cDC and pDC cells.

Dataset Information

Transcription profiling of mouse double negative thymocytes

Publications

Expression profiling of immature thymocytes revealed a novel homeobox gene that regulates double-negative thymocyte development.

Similar Datasets

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