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Báo cáo y học: " Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học 'Respiratory Research cung cấp cho các bạn kiến thức về ngành y đề tài: Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures. | Alberts et al. Respiratory Research 2011 12 61 http respiratory-research.eom content 12 1 61 RESPIRATORY RESEARCH RESEARCH Open Access Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures Rudi Alberts1 Lu Lu2 3 Robert W Williams2 and Klaus Schughart1 Abstract Background The lung is critical in surveillance and initial defense against pathogens. In humans as in mice individual genetic differences strongly modulate pulmonary responses to infectious agents severity of lung disease and potential allergic reactions. In a first step towards understanding genetic predisposition and pulmonary molecular networks that underlie individual differences in disease vulnerability we performed a global analysis of normative lung gene expression levels in inbred mouse strains and a large family of BXD strains that are widely used for systems genetics. Our goal is to provide a key community resource on the genetics of the normative lung transcriptome that can serve as a foundation for experimental analysis and allow predicting genetic predisposition and response to pathogens allergens and xenobiotics. Methods Steady-state polyA mRNA levels were assayed across a diverse and fully genotyped panel of 57 isogenic strains using the Affymetrix M430 2.0 array. Correlations of expression levels between genes were determined. Global expression QTL eQTL analysis and network covariance analysis was performed using tools and resources in GeneNetwork http www.genenetwork.org. Results Expression values were highly variable across strains and in many cases exhibited a high heri-tability factor. Several genes which showed a restricted expression to lung tissue were identified. Using correlations between gene expression values across all strains we defined and extended memberships of several important molecular networks in the lung. Furthermore we were able to extract signatures of immune cell subpopulations and