Proteomics
-
Protein phosphorylation is the most important type of reversible post-translational modification involved in the regulation of cellular signal-transduction processes. In addition to controlling normal cellular physiology on the molecular level, perturbations of phosphorylation-based signaling networks and cascades have been implicated in the onset and progression of various human diseases. ⋯ Combined with ongoing efforts to define kinase-substrate relationships in intact cells, these major achievements have considerable potential to assess phosphorylation-based signaling networks on a system-wide scale. Here, we provide an overview of these exciting developments and their potential to transform signal-transduction research into a technology-driven, high-throughput science.
-
Comparative Study
Inhaled anesthetics elicit region-specific changes in protein expression in mammalian brain.
Inhaled anesthetics bind specifically to many proteins in the mammalian brain. Within the subgroup of proteins whose activity is substantially modulated by anesthetic binding, it is reasonable to expect anesthetic-induced alterations in host expression level. Thus, in an attempt to define the group of functional targets for these commonly used drugs, we examined changes in protein expression after anesthetic exposure in both intact rodent brains and in neuronal cell culture. ⋯ Small changes in protein expression were elicited by both drugs. Despite the fact that anesthetics produce profound changes in neurobiology and behavior, we found only minor changes in brain protein expression. A pronounced degree of regional selectivity was noted, indicating an under appreciated degree of specificity for these promiscuous drugs.
-
Comparative Study
Comparative proteomic analysis of mouse livers from embryo to adult reveals an association with progression of hepatocellular carcinoma.
To identify potential oncofetal biomarkers that distinguish hepatocellular carcinoma (HCC) from healthy liver tissues, we compared and analyzed the proteomic profiles of mouse livers at different developmental stages. Fetal (E13.5, E16.5), newborn (NB), postnatal (3-week) and adult (3-month) livers were isolated and profiled by 2-D PAGE. Statistical analysis using linear regression and false discovery rate (FDR) revealed that 361 protein spots showed significant changes. ⋯ The fetal proteins were found to be overexpressed in the metastatic HCC cell lines and the tumor tissues, whereas the postnatal-adult proteins were expressed in non-tumor tissues and normal hepatocytes. This "Ying-Yang" pattern, as orchestrated by distinct fetal and adult markers, is hypothesized to indicate the progressive change of the liver from a growing, less-differentiated organ into a functional metabolic center. Thus, embryogenesis and tumorigenesis share certain oncofetal markers and adult "hepatic" phenotypes are lost in HCC.
-
More than 130 delegates from all over the world attended the 1(st) Central and Eastern European Proteomic Conference organized together with the 3(rd) Czech Proteomic Conference in the TOP Hotel, Prague in the Czech Republic from 29(th) to 31(st) October, 2007. The autumn nostalgia of the historical city of Prague provided the stage for a fascinating meeting that reviewed rapidly emerging proteomic research in the countries of Central and Eastern Europe, and focused on proteomics driven discovery and applications.
-
With the avalanche of genomic information and improvements in analytical technology, proteomics is becoming increasingly important for the study of many different aspects of plant functions. Since proteins serve as important components of major signaling and biochemical pathways, studies at protein levels are essential to reveal molecular mechanisms underlying plant growth, development, and interactions with the environment. ⋯ In this review of plant proteomics, advances in protein fractionation, separation, and MS will be outlined. Focus will be on recent development in functional analysis of plant proteins, which paves the way towards the comprehensive integration with transcriptomics, metabolomics, and other large scale "-omics" into systems biology.