Project description:The relative contribution of genetic and environmental factors to variation in immune response is still poorly understood. Here, we performed a deep phenotypic analysis of immunological parameters and molecular profiles of laboratory mice released into an outdoor enclosure, carrying genetic susceptibility genes (Nod2 and Atg16l1) implicated in the development of inflammatory bowel diseases. Differences in lymphocyte populations were largely driven by the lab and wild environment. However, cytokine production after stimulation with microbial antigens showed a stronger genetic component in the lab, which was reduced after exposure to the wild environment. Multi-omic models identified key transcriptional factors associated with lymphocyte changes predictive of the environment, as well as sub-networks associated with cytokine responses against Candida albicans and Bacteroides vulgatus. Hence, exposing laboratory mice of different genetic backgrounds to the outdoor environment may identify important contributors to immune variation.
Project description:Nine Curtobacterium strains (three from three clades) were subjected to a lab desiccation experiment with no access to moisture or nutrients to compare between clades. RNA was extracted at days 0, 1, and 32 and sequenced
Project description:This experiment was annotated by TAIR (http://arabidopsis.org). This experiment looks at changes in gene expression in Col-0 plants grown in soil in response to low temperature over time. Experimenter name = Jonathan Vogel Experimenter phone = 517-355-2299 Experimenter fax = 517-353-5174 Experimenter department = MSU-DOE Plant Research Lab Experimenter institute = Michigan State University Experimenter address = East Lansing Experimenter zip/postal_code = MI 48824 Experimenter country = USA Keywords: time_series_design
Project description:In our lab we detected focal genomic amplification of PDE1C in 90% of short term GBM cultures. Knocking down of PDE1C was associated with compromised capacity opf these cultures to proliferate, migrate and invade. Therefore we carried out affymetric whole genome expression analysis to identify the down stream gene effectors of this function effects.
