Project description:In plants, effector-triggered immunity (ETI) is often associated with programmed cell death (PCD). Although the intracellular immune receptors involved in ETI have been studied extensively, how their activation leads to PCD and disease resistance is poorly understood. We found that the Arabidopsis nuclear envelope protein, CPR5 (constitutive expresser of PR genes 5), plays a crucial role in controlling cell fate in response to stress, as the cpr5 mutant exhibits spontaneous cell death and heightened immunity. A genetic screen revealed that the Cip/Kip CKIs (cyclin-dependent kinase inhibitors), SIM (siamese) and SMR1 (siamese-related 1), are essential for CPR5 signaling, as the sim smr1 double mutant fully suppressed the cpr5 phenotype. More significantly, PCD and ETI are compromised in sim smr1 even with the wild-type CPR5. 10-day-old wild type (Col-0), cpr5, sim smr1 and cpr5 sim smr1. 12 samples total. Replicates are derived from three independent biological experiments. We used microarrays to identify differentially expressed genes. We focused on those genes that were cpr5-altered (>2-fold) and SIM/SMR1-dependent.
Project description:In plants, effector-triggered immunity (ETI) is often associated with programmed cell death (PCD). Although the intracellular immune receptors involved in ETI have been studied extensively, how their activation leads to PCD and disease resistance is poorly understood. We found that the Arabidopsis nuclear envelope protein, CPR5 (constitutive expresser of PR genes 5), plays a crucial role in controlling cell fate in response to stress, as the cpr5 mutant exhibits spontaneous cell death and heightened immunity. A genetic screen revealed that the Cip/Kip CKIs (cyclin-dependent kinase inhibitors), SIM (siamese) and SMR1 (siamese-related 1), are essential for CPR5 signaling, as the sim smr1 double mutant fully suppressed the cpr5 phenotype. More significantly, PCD and ETI are compromised in sim smr1 even with the wild-type CPR5.
Project description:This is a dataset generated by the Drosophila Regulatory Elements modENCODE Project led by Kevin P. White at the University of Chicago. It contains genome-wide binding profile of the factor sim from E0-8 generated by ChIP and analyzed on Illumina Genome Analyzer. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
Project description:This is a dataset generated by the Drosophila Regulatory Elements modENCODE Project led by Kevin P. White at the University of Chicago. It contains genome-wide binding profile of the factor sim from E0-8 generated by ChIP and analyzed on Illumina Genome Analyzer. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf A validated dataset is comprised of three biological replicates for ChIP-chip experiments and two replicates for ChIP-seq and meet the modENCODE quality standards. The control sample is the chromatin Input used for ChIP. Most factors binding profiles are generated by using specific antibodies for the protein of interest. However, some factors have been tagged by GFP in a transgenic line. In that case, ChIP is generated using an anti-GFP antibody. This submission represents the ChIP-seq component of the study.
Project description:Soy-based diets have triggered the interest of the research community due to their beneficial effects on a wide variety of pathologies like breast and prostate cancer, diabetes, and atherosclerosis. However, the molecular details underlying these effects are far from being completely understood and several recent attempts have been made to elucidate the soy-induced liver transcriptome changes in different animal models. Here we used Next Generation Sequencing to identify a set of two microRNAs specifically modulated by short-term soy-enriched diet in young male mice and estimate their impact on the liver transcriptome assessed by microarray. Clustering and topological community detection (CTCD) network analysis of STRING generated interactions of transcriptome data led to the identification of five topological communities of genes characteristically altered and putatively targeted by microRNAs upon soy diet intervention.
Project description:Chemical cross-linking has emerged as a powerful approach for the structural characterization of proteins and protein complexes. However, the correct identification of covalently linked (cross-linked) peptides analyzed by tandem mass spectrometry is still an open challenge. Here we present SIM-XL, a software tool that can analyze data generated through commonly used cross-linkers (e.g., BS3/DSS, etc.). Our software introduces a new paradigm for search-space reduction, which ultimately accounts for its increase in speed and sensitivity. Moreover, our search engine is the first to capitalize on reporter ions for selecting tandem mass spectra derived from cross-linked peptides. It also makes available a 2D interaction map and a spectrum-annotation tool unmatched by any of its kind. We show SIM-XL to be more sensitive and faster than a competing tool when analyzing a dataset obtained from the human HSP90. The software is freely available for academic use at http://patternlabforproteomics.org/sim-xl.