Variation in genomic alu repeat density as a basis for rapid construction of low resolution physical maps of human chromosomes

Human DNA restriction fragments containing high numbers of Alu repeat sequences can be preferentially detected in the presence of other human DNA restriction fragments in DNA from human:rodent somatic cell hybrids when the DNA is fragmented with enzymes that cleave mammalian DNA infrequently. This ability to lower the observed human DNA complexity allowed us to develop an approach to order rapidly somatic hybrid cell lines retaining overlapping human genomic domains. The ordering process also generates a relative physical map of the human fragments detected with Alu probe DNA. This process can generate physical mapping information for human genomic domains as large as an entire chromosome (100,000 kb). The strategy is demonstrated by ordering Alu-detected NotI fragments in a panel of mouse:human hybrid cells that span the entire long arm of human chromosome 17.by L. Manuelidis     

Effects of changing heart rate on electrophysiological and hemodynamic function in the dog

Cardiovascular parameters were measured in dogs after RR interval was changed from 0.25 s to 1.2 s with atropine and graded doses of zatebradine, an I(f)-channel blocker. Left ventricular (LV) pre-ejection period (PEP), systemic vascular resistance, tau (an estimate of myocardial stiffness), PQ, QTc, dLVP/dt(max) and dLVP/dt(min), aortic pressure, and right atrial pressure did not change when each parameter was plotted against RR interval (r(2)'s < or = 0.5). LV end-diastolic pressure, stroke volume index, LV ejection time (ET), and QT all increased either linearly or curvilinearly as RR interval prolonged. Cardiac output index and PEP/ET decreased curvilinearly. When heart rate (HR) was fixed by pacing, and graded doses of zatebradine were given, changes in cardiovascular function were minimal. Thus zatebradine affects cardiovascular function principally by changing HR and not by affecting function directly. This study provides data on the effects of changing HR, alone, on cardiovascular parameters measured frequently during pharmacological and toxicological studies. It should prove useful when physiological variables, including HR, change, and there is need to know what change in HR, alone, contributes.     

Assembling global maps of cellular function through integrative analysis of physical and genetic networks

To take full advantage of high-throughput genetic and physical interaction mapping projects, the raw interactions must first be assembled into models of cell structure and function. PanGIA (for physical and genetic interaction alignment) is a plug-in for the bioinformatics platform Cytoscape, designed to integrate physical and genetic interactions into hierarchical module maps. PanGIA identifies 'modules' as sets of proteins whose physical and genetic interaction data matches that of known protein complexes. Higher-order functional cooperativity and redundancy is identified by enrichment for genetic interactions across modules. This protocol begins with importing interaction networks into Cytoscape, followed by filtering and basic network visualization. Next, PanGIA is used to infer a set of modules and their functional inter-relationships. This module map is visualized in a number of intuitive ways, and modules are tested for functional enrichment and overlap with known complexes. The full protocol can be completed between 10 and 30 min, depending on the size of the data set being analyzed.     

Towards the physical basis of how intrinsic disorder mediates protein function

Intrinsically disordered proteins (IDPs) are an important class of functional proteins that is highly prevalent in biology and has broad association with human diseases. In contrast to structured proteins, free IDPs exist as heterogeneous and dynamical conformational ensembles under physiological conditions. Many concepts have been discussed on how such intrinsic disorder may provide crucial functional advantages, particularly in cellular signaling and regulation. Establishing the physical basis of these proposed phenomena requires not only detailed characterization of the disordered conformational ensembles, but also mechanistic understanding of the roles of various ensemble properties in IDP interaction and regulation. Here, we review the experimental and computational approaches that may be integrated to address many important challenges of establishing a "structural" basis of IDP function, and discuss some of the key emerging ideas on how the conformational ensembles of IDPs may mediate function, especially in coupled binding and folding interactions.     

Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs

We introduce an unsupervised competitive learning rule, called the extended Maximum Entropy learning Rule (eMER), for topographic map formation. Unlike Kohonen's Self-Organizing Map (SOM) algorithm, the presence of a neighborhood function is not a prerequisite for achieving topology-preserving mappings, but instead it is intended: (1) to speed up the learning process and (2) to perform nonparametric regression. We show that, when the neighborhood function vanishes, the neural weigh t density at convergence approaches a linear function of the input density so that the map can be regarded as a nonparametric model of the input density. We apply eMER to density estimation and compare its performance with that of the SOM algorithm and the variable kernel method. Finally, we apply the ‘batch’ version of eMER to nonparametric projection pursuit regression and compare its performance with that of back-propagation learning, projection pursuit learning, constrained topolog ical mapping, and the Heskes and Kappen approach. Received: 12 August 1996 / Accepted in revised form: 9 April 1997     

Map2mod--a server for evaluation of crystallographic models and their agreement with electron density maps

Here we report on recent developments of the map2mod server. It has been designed for validation of protein models created by X-ray data interpretation. It can also be used during the refinement process since it is able to indicate problem regions in the model. Apart from evaluation of model quality, it has an option to remove atoms of side chains, which are not consistent with the maps as well as improperly placed water molecules. There are two additional options: checking the B-factors of atoms in the provided model and comparison of R and R(free) values obtained as the result of refinement with the averages characteristic for the data resolution shell.     

The physical basis of nerve impulse conduction the irreversible thermodynamic analysis of the active state

This communication reports the thermodynamic analysis of the active state in nonmyelinated axons; it is the first step in the development of a theory of the physical basis of nerve impulse transport. The thermodynamic analysis enables one to make proper identification of material and thermal diffusion coefficients and conductivities associated with the impulse transport. Future additions to the details of the theory will involve consideration of molecular models of the axon active state. The complete macroscopic thermodynamic and microscopic statistical mechanical analyses will provide the links between the model representations and the measured quantities, e.g. conductivities and action potentials.This paper is divided into two parts. Part I is an introduction to the representation of the nerve axon used here and a general discussion of the results of the analysis of the active state obtained rigorously in Part II. The analysis contained in Part II involves an examination of the phenomenological transport equations for the coupled material (ionic) and thermal diffusion problems. By means of suitable transformations of the transport equations a correspondence with the theory of thermal explosions results. This correspondence therefore allows a detailed examination of the processes of impulse initiation and propagation.The thermodynamic analysis is macroscopic and necessarily phenomenological. Nevertheless, in spite of the macroscopic viewpoint it does enable one to make some predictions of a microscopic nature. In particular, these predictions concern the mechanism of synaptic conduction, the nature of impulse initiation at sensory receptors, and very importantly, the nature of allowable microscopic models of the impulse transport in the axon membrane. These points are discussed in the text of the paper.     

Fast 3D motif search of EM density maps using a locally normalized cross-correlation function

Three-dimensional motif search is becoming increasingly important both in the search for molecular signatures within a tomographic reconstruction, at low resolution, and in the search for atomic structures within high-resolution cryo-EM maps of macromolecular complexes. The present work describes the implementation of a fast local correlation algorithm suitable for template matching in the SPIDER environment. Two examples are given, one in each of the areas of application: (i). within a 7.8A single-particle reconstruction of the Escherichia coli ribosome, four proteins and one RNA structure were located with high accuracy; (ii). within a cryo-tomogram of sarcoplasmic reticulum vesicles, ryanodine receptors were located in positions that agreed with expert knowledge.     

Alignment of genetic and physical maps of Gibberella zeae

We previously published a genetic map of Gibberella zeae (Fusarium graminearum sensu lato) based on a cross between Kansas strain Z-3639 (lineage 7) and Japanese strain R-5470 (lineage 6). In this study, that genetic map was aligned with the third assembly of the genomic sequence of G. zeae strain PH-1 (lineage 7) using seven structural genes and 108 sequenced amplified fragment length polymorphism markers. Several linkage groups were combined based on the alignments, the nine original linkage groups were reduced to six groups, and the total size of the genetic map was reduced from 1,286 to 1,140 centimorgans. Nine supercontigs, comprising 99.2% of the genomic sequence assembly, were anchored to the genetic map. Eight markers (four markers from each parent) were not found in the genome assembly, and four of these markers were closely linked, suggesting that >150 kb of DNA sequence is missing from the PH-1 genome assembly. The alignments of the linkage groups and supercontigs yielded four independent sets, which is consistent with the four chromosomes reported for this fungus. Two proposed heterozygous inversions were confirmed by the alignments; otherwise, the colinearity of the genetic and physical maps was high. Two of four regions with segregation distortion were explained by the two selectable markers employed in making the cross. The average recombination rates for each chromosome were similar to those previously reported for G. zeae. Despite an inferred history of genetic isolation of lineage 6 and lineage 7, the chromosomes of these lineages remain homologous and are capable of recombination along their entire lengths, even within the inversions. This genetic map can now be used in conjunction with the physical sequence to study phenotypes (e.g., fertility and fitness) and genetic features (e.g., centromeres and recombination frequency) that do not have a known molecular signature in the genome.     

Description of hydration free energy density as a function of molecular physical properties

A method to calculate the solvation free energy density (SFED) at any point in the cavity surface or solvent volume surrounding a solute is proposed. In the special case in which the solvent is water, the SFED is referred to as the hydration free energy density (HFED). The HFED is described as a function of some physical properties of the molecules. These properties are represented by simple basis functions. The hydration free energy of a solute was obtained by integrating the HFED over the solvent volume surrounding the solute, using a grid model. Of 34 basis functions that were introduced to describe the HFED, only six contribute significantly to the HFED. These functions are representations of the surface area and volume of the solute, of the polarization and dispersion of the solute, and of two types of electrostatic interactions between the solute and its environment. The HFED is described as a linear combination of these basis functions, evaluated by summing the interaction energy between each atom of the solute with a grid point in the solvent, where each grid point is a representation of a finite volume of the solvent. The linear combination coefficients were determined by minimizing the error between the calculated and experimental hydration free energies of 81 neutral organic molecules that have a variety of functional groups. The calculated hydration free energies agree well with the experimental results. The hydration free energy of any other solute molecule can then be calculated by summing the product of the linear combination coefficients and the basis functions for the solute.     

A graph-theoretic approach to comparing and integrating genetic, physical and sequence-based maps

For many species, multiple maps are available, often constructed independently by different research groups using different sets of markers and different source material. Integration of these maps provides a higher density of markers and greater genome coverage than is possible using a single study. In this article, we describe a novel approach to comparing and integrating maps by using abstract graphs. A map is modeled as a directed graph in which nodes represent mapped markers and edges define the order of adjacent markers. Independently constructed graphs representing corresponding maps from different studies are merged on the basis of their common loci. Absence of a path between two nodes indicates that their order is undetermined. A cycle indicates inconsistency among the mapping studies with regard to the order of the loci involved. The integrated graph thus produced represents a complete picture of all of the mapping studies that comprise it, including all of the ambiguities and inconsistencies among them. The objective of this representation is to guide additional research aimed at interpreting these ambiguities and inconsistencies in locus order rather than presenting a "consensus order" that ignores these problems.     

Genetic and physical maps of the Bacillus subtilis chromosome

Sequencing of the complete Bacillus subtilis chromosome revealed the presence of approximately 4100 genes, 1000 of which were previously identified and mapped by classical genetic crosses. Comparison of these experimentally determined positions to those derived from the nucleotide sequence showed discrepancies reaching up to 24 degrees (approximately 280 kb). The size of these discrepancies as a function of their position along the chromosome is not random but, apparently, reveals some periodicity. Our analyses demonstrate that the discrepancies can be accounted for by inaccurate positioning of the early reference markers with respect to which all subsequently identified loci were mapped by transduction and transformation. We conclude (i) that specific DNA sequences, such as recombination hotspots or presence of heterologous DNA, had no detectable effect on the results obtained by classical mapping, and (ii) that PBS1 transduction appears to be an accurate and unbiased mapping method in B. subtilis.     

Differences in electrophysiological properties of motor and sensory nerve fibres

Differences in the electrophysiological properties of amphibian motor and sensory nerve fibres are reviewed. It is concluded that the differences are mainly due to an altered K-conduction system which suggests the presence of different K channels in the two types of nerve fibres.     

Comparative visualization of genetic and physical maps with Strudel

Data visualization can play a key role in comparative genomics, for example, underpinning the investigation of conserved synteny patterns. Strudel is a desktop application that allows users to easily compare both genetic and physical maps interactively and efficiently. It can handle large datasets from several genomes simultaneously, and allows all-by-all comparisons between these. Availability and implementation: Installers for Strudel are available for Windows, Linux, Solaris and Mac OS X at http://bioinf.scri.ac.uk/strudel/.