ABSTRACT
γ-Secretase mediates amyloid production in Alzheimer's disease (AD) and oncogenic activity of Notch. γ-Secretase inhibitors (GSIs) are thus of interest for AD and oncology. A peripheral biomarker of Notch activity would aid determination of the therapeutic window and dosing regimen for GSIs, given toxicities associated with chronic Notch inhibition. This study examined the effects of GSI MK-0752 on blood and hair follicle transcriptomes in healthy volunteers. The effects of a structurally diverse GSI on rhesus blood and hair follicles were also compared. Significant dose-related effects of MK-0752 on transcription were observed in hair follicles, but not blood. The GSI biomarker identified in follicles exhibited 100% accuracy in a clinical test cohort, and was regulated in rhesus by a structurally diverse GSI. This study identified a translatable, accessible pharmacodynamic biomarker of GSI target engagement and provides proof of concept of hair follicle RNA as a translatable biomarker source.
Subject(s)
Amyloid Precursor Protein Secretases/antagonists & inhibitors , Benzene Derivatives/pharmacology , Drug Monitoring , Hair Follicle/drug effects , Propionates/pharmacology , Protease Inhibitors/pharmacology , Receptors, Notch/antagonists & inhibitors , Sulfones/pharmacology , Transcription, Genetic/drug effects , Adolescent , Adult , Amyloid Precursor Protein Secretases/metabolism , Animals , Baltimore , Benzene Derivatives/administration & dosage , Benzene Derivatives/blood , Benzene Derivatives/pharmacokinetics , Biomarkers, Pharmacological/blood , Cross-Over Studies , Dose-Response Relationship, Drug , Double-Blind Method , Drug Monitoring/methods , Gene Expression Profiling/methods , Hair Follicle/metabolism , Healthy Volunteers , Humans , Macaca mulatta , Male , Models, Animal , Molecular Targeted Therapy , Oligonucleotide Array Sequence Analysis , Propionates/administration & dosage , Propionates/blood , Propionates/pharmacokinetics , Protease Inhibitors/administration & dosage , Protease Inhibitors/blood , Protease Inhibitors/pharmacokinetics , RNA, Messenger/biosynthesis , RNA, Messenger/blood , Receptors, Notch/metabolism , Sulfones/administration & dosage , Sulfones/blood , Sulfones/pharmacokinetics , Young AdultABSTRACT
Type II DNA topoisomerases actively reduce the fractions of knotted and catenated circular DNA below thermodynamic equilibrium values. To explain this surprising finding, we designed a model in which topoisomerases introduce a sharp bend in DNA. Because the enzymes have a specific orientation relative to the bend, they act like Maxwell's demon, providing unidirectional strand passage. Quantitative analysis of the model by computer simulations proved that it can explain much of the experimental data. The required sharp DNA bend was demonstrated by a greatly increased cyclization of short DNA fragments from topoisomerase binding and by direct visualization with electron microscopy.
Subject(s)
Computer Simulation , DNA Topoisomerases, Type II/metabolism , DNA, Circular/metabolism , Models, Molecular , DNA Topoisomerases, Type II/ultrastructure , DNA, Circular/chemistry , DNA, Circular/ultrastructure , Microscopy, ElectronABSTRACT
Ligation of short DNA fragments results in the formation of linear and circular multimers of various lengths. The distribution of products in such a reaction is often used to evaluate fragment bending caused by specific chemical modification, by bound ligands or by the presence of irregular structural elements. We have developed a more rigorous quantitative approach to the analysis of such experimental data based on determination of j-factors for different multimers from the distribution of the reaction products. j-Factors define the effective concentration of one end of a linear chain in the vicinity of the other end. To extract j-factors we assumed that kinetics of the reaction is described by a system of differential equations where j-factors appear as coefficients. The assumption was confirmed by comparison with experimental data obtained here for DNA fragments containing A-tracts. At the second step of the analysis j-factors are used to determine conformational parameters of DNA fragments: the equilibrium bend angle, the bending rigidity of the fragment axis, and the total twist of the fragments. This procedure is based on empirical equations that connect the conformational parameters with the set of j-factors. To obtain the equations, we computed j-factors for a large array of conformational parameters that describe model fragments. The approach was tested on both simulated and actual experimental data for DNA fragments containing A-tracts. A-tract DNA bend angle determined here is in good agreement with previously published data. We have established a set of experimental conditions necessary for the data analysis to be successful.
Subject(s)
DNA/chemistry , Nucleic Acid Conformation , Base Sequence , Biophysical Phenomena , Biophysics , DNA/chemical synthesis , DNA/isolation & purification , DNA, Circular/chemical synthesis , DNA, Circular/chemistry , DNA, Circular/isolation & purification , Models, Chemical , Monte Carlo MethodABSTRACT
Two variables define the topological state of closed double-stranded DNA: the knot type, K, and DeltaLk, the linking number difference from relaxed DNA. The equilibrium distribution of probabilities of these states, P(DeltaLk, K), is related to two conditional distributions: P(DeltaLk|K), the distribution of DeltaLk for a particular K, and P(K|DeltaLk) and also to two simple distributions: P(DeltaLk), the distribution of DeltaLk irrespective of K, and P(K). We explored the relationships between these distributions. P(DeltaLk, K), P(DeltaLk), and P(K|DeltaLk) were calculated from the simulated distributions of P(DeltaLk|K) and of P(K). The calculated distributions agreed with previous experimental and theoretical results and greatly advanced on them. Our major focus was on P(K|DeltaLk), the distribution of knot types for a particular value of DeltaLk, which had not been evaluated previously. We found that unknotted circular DNA is not the most probable state beyond small values of DeltaLk. Highly chiral knotted DNA has a lower free energy because it has less torsional deformation. Surprisingly, even at |DeltaLk| > 12, only one or two knot types dominate the P(K|DeltaLk) distribution despite the huge number of knots of comparable complexity. A large fraction of the knots found belong to the small family of torus knots. The relationship between supercoiling and knotting in vivo is discussed.
Subject(s)
DNA, Circular/chemistry , Nucleic Acid Conformation , Models, Chemical , Monte Carlo MethodABSTRACT
A procedure for the testing of Electron Microscope (EM) mapping data for DNA molecules with site-specific bound ligands is suggested. The difficulty of distinguishing DNA molecule ends on electron micrographs indicates that their true orientations are not known. This in turn presents problems in obtaining correct maps relating to their alignment, and complicates checking the maps' validity. For these reasons a computer simulation of the EM study of double-stranded DNA molecules with site-specific bound ligands was carried out. The knowledge of the true orientations of the simulated DNA molecules allowed us to examine their final orientations after alignment. We used the number of improper-oriented molecules as the quantitative measure of the map quality. Detailed investigation based on this parameter permitted us to invent the criterion for the map validity, and to suggest the procedure for the testing of alignment of real DNA molecules. This procedure implies multiple randomization of initial orientations of the DNA molecules and minute analysis of the final maps. Most of the molecular, statistical and experimental parameters inherent to EM investigation of site-specific binding, such as the number of specific binding sites (N), the mean number of bound ligands (A), the length of the DNA molecules (L), the specific/non-specific ratio of binding (K), together with the standard deviation of DNA molecule lengths (HL) were tested for their influence upon the quality of EM mapping data. An empirical equation for the ultimate values of these parameters has been found, allowing us to predict the success of EM mapping.
