Project description:Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures. These data support the publication titled "Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.". Some of the calculations in the publication were derived from an older version of the data available at http://www.iconixpharm.com Copyright (c) 2005 by Iconix Pharmaceuticals, Inc. Guidelines for commercial use: http://www.iconixbiosciences.com/guidelineCommUse.pdf Keywords: other
Project description:We identify cellular heterogeneity during in MS patient samples from the CNS Multiple sclerosis (MS) is an autoimmune neurologic disease leading to demyelination and neurologic dysfunction controlled by both genetic and environmental factors. In addition to CNS-infiltrating immune cells, CNS-resident cells, such as astrocytes, are thought to play an important role in MS pathogenesis. However, a comprehensive understanding of the extent to which gene expression is disrupted in astrocytes is not known. Here, we implement single-cell RNA sequencing, in vivo genetic perturbations, cell-specific RNA profiling by Ribotag, as well as single-cell RNA sequencing of human MS patient samples to identify a transcriptional regulatory network in astrocytes that controls the pathogenesis of EAE and potentially, MS. We defined an astrocyte subpopulation characterized by expression of the small Maf protein, MAFG, which represses NRF2-driven antioxidant mechanisms and promotes EAE pathogenesis. Mechanistically, MAFG suppresses NRF2-dependent antioxidant genetic programs by cooperating with its cofactor, MAT2a, to promote DNA methylation in the context of CNS inflammation, which in turn increases pathogenic signaling processes in astrocytes. MAFG/MAT2a astrocytes are controlled by GM-CSF signaling, which drives EAE pathogenesis and MAFG expression. MAFG is activated in astrocytes derived from MS patients, which are characterized by DNA methylation programs, pro-inflammatory signaling processes including GM-CSF signaling, and repressed NRF2 activation. Together, these data create a transcriptional and epigenetic framework to analyze CNS inflammation in MS and may provide new therapeutic targets.
Project description:To better examine the molecular mechanisms behind the virus infection, we conducted a correlation analysis of RNA-Seq and quantitative iTRAQ-LC-MS/MS in TuMV-infected and in healthy Chinese cabbage leaves.
Project description:The objective of the present investigation was to consider the level of variation in the protein expression patterns of closely related Salmonella serovars, in order to search for protein factors with levels of expression or posttranslational modifications characteristic for each serovar. For the comparative expression analysis we have utilised classic 2D GE approach which revealed several proteins with serovar specific expression as well as proteins which do not alter their expression levels between serovars and strains. The proteins of interest were identified using LC/MS/MS. Keywords: 2D GE, MS/MS