Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis.

Mathematical modeling is required for understanding the complex behavior of large signal transduction networks. Previous attempts to model signal transduction pathways were often limited to small systems or based on qualitative data only. Here, we developed a mathematical modeling framework for understanding the complex signaling behavior of CD95(APO-1/Fas)-mediated apoptosis. Defects in the regulation of apoptosis result in serious diseases such as cancer, autoimmunity, and neurodegeneration. During the last decade many of the molecular mechanisms of apoptosis signaling have been examined and elucidated. A systemic understanding of apoptosis is, however, still missing. To address the complexity of apoptotic signaling we subdivided this system into subsystems of different information qualities. A new approach for sensitivity analysis within the mathematical model was key for the identification of critical system parameters and two essential system properties: modularity and robustness. Our model describes the regulation of apoptosis on a systems level and resolves the important question of a threshold mechanism for the regulation of apoptosis.

NEJ1 controls non-homologous end joining in Saccharomyces cerevisiae.

Broken DNA ends are rejoined by non-homologous end-joining (NHEJ) pathways requiring the Ku proteins (Ku70, Ku80), DNA ligase IV and its associated protein Lif1/Xrcc4 (ref. 1). In mammalian meiotic cells, Ku protein levels are much lower than in somatic cells, apparently reducing the capacity of meiotic cells to carry out NHEJ and thereby promoting homologous recombination. In Saccharomyces cerevisiae, NHEJ is also downregulated in meiosis-competent MATa/MAT alpha diploid cells in comparison with diploids or haploids expressing only MATa or MAT alpha. Diploids expressing both MATa and MAT alpha show enhanced mitotic homologous recombination. Here we report that mating-type-dependent regulation of NHEJ in budding yeast is caused in part by transcriptional repression of both LIF1 and the gene NEJ1 (YLR265C)--identified from microarray screening of messenger RNAs. Deleting NEJ1 reduces NHEJ 100-fold in MATa or MAT alpha haploids. Constitutive expression of NEJ1, but not expression of LIF1, restores NHEJ in MATa/MAT alpha cells. Nej1 regulates the subcellular distribution of Lif1. A green fluorescent protein (GFP)-Lif1 fusion protein accumulates in the nucleus in cells expressing NEJ1 but is largely cytoplasmic when NEJ1 is repressed.

Thymine DNA glycosylase.

More than 50% of colon cancer-associated mutations in the p53 tumor suppressor gene are C-->T transitions. The majority of them locate in CpG dinucleotides and are thought to have arisen through spontaneous hydrolytic deamination of 5-methylcytosine. This deamination process gives rise to G.T mispairs that need to be repaired to G.C in order to avoid C-->T mutation. Similarly, deamination of cytosine generates G.U mispairs that also produce C-->T transitions if not repaired. Restoration of both G.T and G.U mismatches was shown to be mediated by a short-patch excision repair pathway, and one principal player implicated in this process may be thymine DNA glycosylase (TDG). Human TDG was discovered as an enzyme that has the potential to specifically remove thymine and uracil bases mispaired with guanine through hydrolysis of their N-glycosidic bond, thereby generating abasic sites in DNA and initiating a base excision repair reaction. The same protein was later found to interact physically and functionally with the retinoid receptors RAR and RXR, and this implicated an unexpected function of TDG in nuclear receptor-mediated transcriptional activation of gene expression. The objective of this chapter is to put together the results of different lines of experimentation that have explored the thymine DNA glycosylase since its discovery and to critically evaluate their implications for possible physiological roles of this enzyme.

Separating substrate recognition from base hydrolysis in human thymine DNA glycosylase by mutational analysis.

Human thymine DNA glycosylase (TDG) was discovered as an enzyme that can initiate base excision repair at sites of 5-methylcytosine- or cytosine deamination in DNA by its ability to release thymine or uracil from G.T and G.U mismatches. Crystal structure analysis of an Escherichia coli homologue identified conserved amino acid residues that are critical for its substrate recognition/interaction and base hydrolysis functions. Guided by this revelation, we performed a mutational study of structure function relationships with the human TDG. Substitution of the postulated catalytic site asparagine with alanine (N140A) resulted in an enzyme that bound mismatched substrates but was unable to catalyze base removal. Mutation of Met-269 in a motif with a postulated role in protein-substrate interaction selectively inactivated stable binding of the enzyme to mismatched substrates but not so its glycosylase activity. These results establish that the structure function model postulated for the E. coli enzyme is largely applicable to the human TDG. We further provide evidence for G.U being the preferred substrate of TDG, not only at the mismatch recognition step of the reaction but also in base hydrolysis, and for the importance of stable complementary strand interactions by TDG to compensate for its comparably poor hydrolytic potential.

Time-resolved analysis and visualization of dynamic processes in living cells.

Recent development of in vivo microscopy techniques, including green fluorescent proteins, has allowed the visualization of a wide range of dynamic processes in living cells. For quantitative and visual interpretation of such processes, new concepts for time-resolved image analysis and continuous time-space visualization are required. Here, we describe a versatile and fully automated approach consisting of four techniques, namely highly sensitive object detection, fuzzy logic-based dynamic object tracking, computer graphical visualization, and measurement in time-space. Systematic model simulations were performed to evaluate the reliability of the automated object detection and tracking method. To demonstrate potential applications, the method was applied to the analysis of secretory membrane traffic and the functional dynamics of nuclear compartments enriched in pre-mRNA splicing factors.