Self-assembly of biological macromolecules.

The genetic apparatus of the cell is responsible for the accurate biosynthesis of the primary structure of macromolecules which then spontaneously fold up and, in certain circumstances, aggregate to yield the complex tertiary and quaternary structures of the biologically active molecules. Structures capable of self-assembly in this range from simple monomers through oligomers to complex multimeric structures that may contain more than one type of polypeptide chain and components other than protein. It is becoming clear that even with the simpler monomeric enzymes there is becoming clear that even with the simpler monomeric enzymes there is a kinetically determined pathway for the folding process and that a folded protein must now be regarded as the minimum free energy form of the kinetically accessible conformations. It is argued that the denatured subunits of oligomeric enzymes are likely to fold to something like their final structure before aggregating to give the native quaternary structure and the available evidence would suggest that this is so. The importance of nucleation events and stable intermediates in the self-assembly of more complex structures is clear. Many self-assembling structures contain only identical subunits and symmetry arguments are very successful in accounting for the structures formed. Because proteins are themselves complex molecules and not inelastic geometric objects, the rules of strict symmetry can be bent and quasi-equivalent bonding between subunits permitted. This possibility is frequently employed in biological structures. Conversely, symmetry arguments can offer a reliable means of choosing between alternative models for a given structure. It can be seen that proteins gain stability by growing larger and it is argued in evolutionary terms that aggregation of subunits is the preferred way to increase the size of proteins. The possession of quaternary structure by enzymes allows conferral of other biologically important properties, such as cooperativity between active sites, changes of specificity, substrate channelling and sequential reactions within a multi-enzyme complex. Comparison is made of the invariant subunit compositions of the simpler oligomeric enzymes with the variation evidently open to, say, the 2-oxoacid dehydrogenase complexes of E. coli. With viruses, on the other hand, the function of the quaternary structure is to package nucleic acid and, as an example, the assembly and breakdown of tobacco mosaic virus is discussed. Attention is drawn to the possible ways in which the principles of self-assembly can be extended to make structures more complicated than those that can be formed by simple aggregation of the comonent parts.     

Self-assembly of reactive amphiphilic block copolymers as mimetics for biological membranes

Over the years, polymers have attracted a great deal of interest because they offer a unique platform for the development of materials in fields as diverse as biomedicine and packaging. Many of these purposes use polymers that had been developed for totally different applications. Recently, however, chemical tailoring and molecular and supramolecular control of the chemistry and, thus, the physical and biological response have become a key interest of many researchers. In particular, systems that operate in aqueous media have become an intensely researched field. This is mostly because many devices must be biocompatible, which implies that they have to function in aqueous solutions. Over the past few years, new approaches for mimicking cell surfaces, for generating biocompatible and bioactive drug delivery systems, and for directed targeting have been developed. One recent development is polymeric systems with an enhanced biofunctionality, such as amphiphilic block copolymers that can act as mimetics for biological membranes. Because there are virtually no limits to combinations of monomers, biological and synthetic building blocks, ligands, receptors, and other proteins, polymer hybrid materials show a great promise for applications in biomedicine and biotechnology.     

Modeling of biological tree structures

Biological tree-like structures, such as mammalian tracheobronchial airways, are complicated branching systems. One problem in modeling such systems is the reassignment of the number of segments at a given generation in the model being constructed. A hypothesis is proposed which has successfully been used in modeling mammalian lung airways. Research supported by the National Institute of Environmental Health Sciences through U.S. Department of Energy Contract Number EY-76-C-04-1013.     

Self-assembly of biopolymeric structures below the threshold of random cross-link percolation.

Self-assembly of extended structures via cross-linking of individual biomolecules often occurs in solutions at concentrations well below the estimated threshold for random cross-link percolation. This requires solute-solute correlations. Here we study bovine serum albumin. Its unfolding causes the appearance of an instability region of the sol, not observed for native bovine serum albumin. As a consequence, spinodal demixing of the sol is observed. The thermodynamic phase transition corresponding to this demixing is the determinative symmetry-breaking step allowing the subsequent occurrence of (correlated) cross-linking and its progress up to the topological phase transition of gelation. The occurrence of this sequence is of marked interest to theories of spontaneous symmetry-breaking leading to morphogenesis, as well as to percolation theories. The present results extend the validity of conclusions drawn from our previous studies of other systems, by showing in one single case, system features that we have hitherto observed separately in different systems. Time-resolved experimental observations of the present type also bring kinetic and diffusional processes and solute-solvent interactions into the picture of cross-link percolation.     

Self-assembly of extracellular tubular structures of non-protein nature produced by an actinomycete]

When grown on the solid synthetic medium with glucose as the only carbon source the dedifferentiated "fructose" mutant of Actinomyces roseoflavus var. roseofungini accumulated aggregates of tubular-like structures. The individual tubules had the internal diametre of 80 A and external diametre of approximately 200-220 A. These structures were isolated as a distinct fraction and their non-protein nature was demonstrated. They were easily soluble in acetone and reconstitutable in vitro. The possible significance of production of self-assembling structures by a mutant with impaired differentiation is discussed. The possibility of involvement of self-assembly processes in the formation of surface sheath of aerial mycelium in normally differentiating actinomycetes is mentioned.     

Magnetic stimulation for non-homogeneous biological structures

Background  

Magnetic stimulation has gained relatively wide application in studying nervous system structures. This technology has the advantage of reduced excitation of sensory nerve endings, and hence results in quasi-painless action. It has become clinically accepted modality for brain stimulation. However, theoretical and practical solutions for assessment of induced current distribution need more detailed and accurate consideration.     

Unraveling prion structures and biological functions

A report on a Joint Cold Spring Harbor Laboratory/Wellcome Trust Conference on 'Prion Biology', Hinxton, UK, 7-11 September 2005.     

Minimal spanning tree analysis of biological structures

A new approach to study order and disorder in biological membranes and more generally in biological structures is developed. It is based on a graph constructed on the set points representing the position of particles. From this graph, which is called the minimal spanning tree, it is possible to deduce two parameters, namely the average length m and the standard deviation sigma which are characteristic of the repartition to be studied. The use of a diagram involving both m and sigma makes it possible to determine the degree of order by taking a simple reading in the (m, sigma) plane.     

Scanning transmission electron microscopy of biological structures

The design of the scanning transmission electron microscope (STEM) has been conceived to optimize its detection efficiency of the different elastic and inelastic signals resulting from the interaction of the high energy primary electrons with the specimen. Its potential use to visualize and measure biological objects was recognized from the first studies by Crewe and coworkers in the seventies. Later the real applications have not followed the initial hopes. The purpose of the present paper is to describe how the instrument has practically evolved and recently begun to demonstrate all its potentialities for quantitative electron microscopy of a wide range of biological specimens, from freeze-dried isolated macromolecules to unstained cryosections. Emphasis will be put on the mass-mapping, multi-signal and elemental mapping modes which are unique features of the STEM instruments.     

Unconventional modes for STEM imaging of biological structures

In this paper recent developments are discussed in instrumentation and methodology associated with scanning transmission electron microscopes (STEM), which are of great potential interest for solving structural and chemical problems in biological specimens. After describing the main features of the instrument, an attempt is made to define which type of signal acquisition and processing is best suited to obtain a given type of information. Starting with a definition of cross sections of interest, a discussion follows of methods using angular selection, energy selection of the transmitted beam, and several ways of signal mixing. More specific attention is devoted to two main modes of processing signals: ratio contrast, which emphasizes slight changes in scattering factors, rather independent of thickness variations; and elemental mapping, which provides semi-quantitative information on the distribution of low Z elements of great significance in biological specimens. Data relevant to typical biological objects are presented and discussed; they allow for the definition of the capabilities and limitations of these methods. These unconventional imaging modes define a new attitude for improving the efficiency of this modern generation of electron microscopes.     

Lipid exchange and transfer between biological lipid-protein structures

The dynamic state of membrane and lipoprotein lipids is all the more impressive when the complexity of lipoprotein and membrane structure is considered. For as long as such a ubiquitous and easily demonstrable process has been studied, the mechanism(s) of lipid exchange is still unknown. Is a direct contact between lipoproteins and membranes required for lipid exchange, or are molecules expelled from lipid-protein complexes to spend a transient existence in the aqueous environment before returning to their donor or being accomodated in another complex? Although recent studies suggest the certain proteins such as the phospholipid exchange proteins can exert some vectoral and selective control over exchange reactions, the exchange of lipids, as studied under most conditionsin vitro, seems to be a random occurrence and a purely physicochemical event. Ifin vitro studies are indeed reflective of the processesin vivo, the lipid exchange activity in a cell can likely be depicted as shown in Figure 18.     

Polarization clustering of biological structures with Mueller matrix parameters

Mueller matrix imaging polarimetry (MMIP) is a promising technique for the characterization of biological tissues, including the classification of microstructures in pathological diagnosis. To expand the parameter space of Mueller matrix parameters, we propose new vector parameters (VPs) according to the Mueller matrix polar decomposition method. We measure invasive bladder cancer (IBC) with extensive necrosis and high-grade ductal carcinoma in situ (DCIS) with MMIP, and the regions of cancer cells and fibrotic stroma are classified with the VPs. Then the proposed and existing VPs are mapped on the Poincaré sphere with 3D visualization, and an indicator of spatial feature is defined based on the minimum enclosing sphere to evaluate the classification capability of the VPs. For both IBC and DCIS, the results show that the proposed VPs exhibit evident contrast between the regions of cancer cells and fibrotic stroma. This study broadens the fundamental Mueller matrix parameters and helps to improve the characterization ability of the MMIP technique.     

Discovering adaptation-capable biological network structures using control-theoretic approaches

Constructing biological networks capable of performing specific biological functionalities has been of sustained interest in synthetic biology. Adaptation is one such ubiquitous functional property, which enables every living organism to sense a change in its surroundings and return to its operating condition prior to the disturbance. In this paper, we present a generic systems theory-driven method for designing adaptive protein networks. First, we translate the necessary qualitative conditions for adaptation to mathematical constraints using the language of systems theory, which we then map back as ‘design requirements’ for the underlying networks. We go on to prove that a protein network with different input–output nodes (proteins) needs to be at least of third-order in order to provide adaptation. Next, we show that the necessary design principles obtained for a three-node network in adaptation consist of negative feedback or a feed-forward realization. We argue that presence of a particular class of negative feedback or feed-forward realization is necessary for a network of any size to provide adaptation. Further, we claim that the necessary structural conditions derived in this work are the strictest among the ones hitherto existed in the literature. Finally, we prove that the capability of producing adaptation is retained for the admissible motifs even when the output node is connected with a downstream system in a feedback fashion. This result explains how complex biological networks achieve robustness while keeping the core motifs unchanged in the context of a particular functionality. We corroborate our theoretical results with detailed and thorough numerical simulations. Overall, our results present a generic, systematic and robust framework for designing various kinds of biological networks.