A perspective on combining molecular nanomagnets and carbon nanotube electronics

We present the promising perspectives offered by the combination of carbon nanotube-based electronics and molecular nanomagnetism. The transport properties of carbon nanotubes are first described, with particular attention to the working principles of two devices that can be expected to play a major role in merging the two fields. We then detail the fabrication steps needed for nanotube-based devices that shall be considered when developing strategies for hybrid devices. Finally, we discuss the possible chemical routes to the creation of molecular nanomagnets/carbon-nanotube hybrid devices, highlighting the fundamental requirements for the creation of working systems and for the observation of spin effects on the transport properties of carbon nanotubes.     

An Experimental Framework for Generating Evolvable Chemical Systems in the Laboratory

Most experimental work on the origin of life has focused on either characterizing the chemical synthesis of particular biochemicals and their precursors or on designing simple chemical systems that manifest life-like properties such as self-propagation or adaptive evolution. Here we propose a new class of experiments, analogous to artificial ecosystem selection, where we select for spontaneously forming self-propagating chemical assemblages in the lab and then seek evidence of a response to that selection as a key indicator that life-like chemical systems have arisen. Since surfaces and surface metabolism likely played an important role in the origin of life, a key experimental challenge is to find conditions that foster nucleation and spread of chemical consortia on surfaces. We propose high-throughput screening of a diverse set of conditions in order to identify combinations of “food,” energy sources, and mineral surfaces that foster the emergence of surface-associated chemical consortia that are capable of adaptive evolution. Identification of such systems would greatly advance our understanding of the emergence of self-propagating entities and the onset of adaptive evolution during the origin of life.     

Arraying prostate specific antigen PSA and Fab anti-PSA using light-assisted molecular immobilization technology

We here report for the first time the creation of prostate specific antigen (PSA) and Fab anti‐PSA biosensor arrays using UV light‐assisted molecular immobilization (LAMI), aiming at the detection and quantification of PSA, a cancer marker. The technology involves formation of free, reactive thiol groups upon UV excitation of protein aromatic residues located in spatial proximity of disulphide bridges, a conserved structural feature in both PSA and Fab molecules. The created thiol groups bind onto thiol reactive surfaces leading to oriented covalent protein immobilization. Protein activity was confirmed carrying out immunoassays: immobilized PSA was recognized by Fab anti‐PSA in solution and immobilized Fab anti‐PSA cross‐reacted with PSA in solution. LAMI technology proved successful in immobilizing biomedically relevant molecules while preserving their activity, highlighting that insight into how light interacts with biomolecules may lead to new biophotonic technologies. Our work focused on the application of our new engineering principles to the design, analysis, construction, and manipulation of biological systems, and on the discovery and application of new engineering principles inspired by the properties of biological systems.     

Scale relativity theory and integrative systems biology: 2. Macroscopic quantum-type mechanics

In these two companion papers, we provide an overview and a brief history of the multiple roots, current developments and recent advances of integrative systems biology and identify multiscale integration as its grand challenge. Then we introduce the fundamental principles and the successive steps that have been followed in the construction of the scale relativity theory, which aims at describing the effects of a non-differentiable and fractal (i.e., explicitly scale dependent) geometry of space–time. The first paper of this series was devoted, in this new framework, to the construction from first principles of scale laws of increasing complexity, and to the discussion of some tentative applications of these laws to biological systems. In this second review and perspective paper, we describe the effects induced by the internal fractal structures of trajectories on motion in standard space. Their main consequence is the transformation of classical dynamics into a generalized, quantum-like self-organized dynamics. A Schrödinger-type equation is derived as an integral of the geodesic equation in a fractal space. We then indicate how gauge fields can be constructed from a geometric re-interpretation of gauge transformations as scale transformations in fractal space–time. Finally, we introduce a new tentative development of the theory, in which quantum laws would hold also in scale space, introducing complexergy as a measure of organizational complexity. Initial possible applications of this extended framework to the processes of morphogenesis and the emergence of prokaryotic and eukaryotic cellular structures are discussed. Having founded elements of the evolutionary, developmental, biochemical and cellular theories on the first principles of scale relativity theory, we introduce proposals for the construction of an integrative theory of life and for the design and implementation of novel macroscopic quantum-type experiments and devices, and discuss their potential applications for the analysis, engineering and management of physical and biological systems and properties, and the consequences for the organization of transdisciplinary research and the scientific curriculum in the context of the SYSTEMOSCOPE Consortium research and development agenda.     

Algorithms in nature: the convergence of systems biology and computational thinking

Computer science and biology have enjoyed a long and fruitful relationship for decades. Biologists rely on computational methods to analyze and integrate large data sets, while several computational methods were inspired by the high‐level design principles of biological systems. Recently, these two directions have been converging. In this review, we argue that thinking computationally about biological processes may lead to more accurate models, which in turn can be used to improve the design of algorithms. We discuss the similar mechanisms and requirements shared by computational and biological processes and then present several recent studies that apply this joint analysis strategy to problems related to coordination, network analysis, and tracking and vision. We also discuss additional biological processes that can be studied in a similar manner and link them to potential computational problems. With the rapid accumulation of data detailing the inner workings of biological systems, we expect this direction of coupling biological and computational studies to greatly expand in the future.     

Foundations for the design and implementation of synthetic genetic circuits

Synthetic gene circuits are designed to program new biological behaviour, dynamics and logic control. For all but the simplest synthetic phenotypes, this requires a structured approach to map the desired functionality to available molecular and cellular parts and processes. In other engineering disciplines, a formalized design process has greatly enhanced the scope and rate of success of projects. When engineering biological systems, a desired function must be achieved in a context that is incompletely known, is influenced by stochastic fluctuations and is capable of rich nonlinear interactions with the engineered circuitry. Here, we review progress in the provision and engineering of libraries of parts and devices, their composition into large systems and the emergence of a formal design process for synthetic biology.     

Prospects of nanoparticle–DNA binding and its implications in medical biotechnology

Bio-nanotechnology is a new interdisciplinary R&D area that integrates engineering and physical science with biology through the development of multifunctional devices and systems, focusing biology inspired processes or their applications, in particular in medical biotechnology. DNA based nanotechnology, in many ways, has been one of the most intensively studied fields in recent years that involves the use and the creation of bio-inspired materials and their technologies for highly selective biosensing, nanoarchitecture engineering and nanoelectronics. Increasing researches have been offered to a fundamental understanding how the interactions between the nanoparticles and DNA molecules could alter DNA molecular structure and its biochemical activities. This minor review describes the mechanisms of the nanoparticle–DNA binding and molecular interactions. We present recent discoveries and research progresses how the nanoparticle–DNA binding could vary DNA molecular structure, DNA detection, and gene therapy. We report a few case studies associated with the application of the nanoparticle–DNA binding devices in medical detection and biotechnology. The potential impacts of the nanoparticles via DNA binding on toxicity of the microorganisms are briefly discussed. The nanoparticle–DNA interactions and their impact on molecular and microbial functionalities have only drown attention in recent a few years. The information presented in this review can provide useful references for further studies on biomedical science and technology.     

Methods for and results from the study of design principles in molecular systems

Most aspects of molecular biology can be understood in terms of biological design principles. These principles can be loosely defined as qualitative and quantitative features that emerge in evolution and recur more frequently than one would expect by chance alone in biological systems that perform a given type of process or function. Furthermore, such recurrence can be rationalized in terms of the functional advantage that the design provides to the system when compared with possible alternatives. This paper focuses on those design features that can be related to improved functional effectiveness of molecular and regulatory networks. We begin by reviewing assumptions and methods that underlie the study of such principles in molecular networks. We follow by discussing many of the design principles that have been found in genetic, metabolic, and signal transduction circuits. We concentrate mainly on results in the context of Biochemical Systems Theory, although we also briefly discuss other work. We conclude by discussing the importance of these principles for both, understanding the natural evolution of complex networks at the molecular level and for creating artificial biological systems with specific features.     

Combinatorial metabolic pathway assembly approaches and toolkits for modular assembly

Synthetic Biology is a rapidly growing interdisciplinary field that is primarily built upon foundational advances in molecular biology combined with engineering design principles such as modularity and interoperability. The field considers living systems as programmable at the genetic level and has been defined by the development of new platform technologies and methodological advances. A key concept driving the field is the Design-Build-Test-Learn cycle which provides a systematic framework for building new biological systems. One major application area for synthetic biology is biosynthetic pathway engineering that requires the modular assembly of different genetic regulatory elements and biosynthetic enzymes. In this review we provide an overview of modular DNA assembly and describe and compare the plethora of in vitro and in vivo assembly methods for combinatorial pathway engineering. Considerations for part design and methods for enzyme balancing are also presented, and we briefly discuss alternatives to intracellular pathway assembly including microbial consortia and cell-free systems for biosynthesis. Finally, we describe computational tools and automation for pathway design and assembly and argue that a deeper understanding of the many different variables of genetic design, pathway regulation and cellular metabolism will allow more predictive pathway design and engineering.     

Energy landscapes of rotary DNA origami devices determined by fluorescence particle tracking

Biomolecular nanomechanical devices are of great interest as tools for the processing and manipulation of molecules, thereby mimicking the function of nature’s enzymes. DNA nanotechnology provides the capability to build molecular analogs of mechanical machine elements such as joints and hinges via sequence-programmable self-assembly, which are otherwise known from traditional mechanical engineering. Relative to their size, these molecular machine elements typically do not reach the same relative precision and reproducibility that we know from their macroscopic counterparts; however, as they are scaled down to molecular sizes, physical effects typically not considered by mechanical engineers such as Brownian motion, intramolecular forces, and the molecular roughness of the devices begin to dominate their behavior. In order to investigate the effect of different design choices on the roughness of the mechanical energy landscapes of DNA nanodevices in greater detail, we here study an exemplary DNA origami-based structure, a modularly designed rotor-stator arrangement, which resembles a rotatable nanorobotic arm. Using fluorescence tracking microscopy, we follow the motion of individual rotors and record their corresponding energy landscapes. We then utilize the modular construction of the device to exchange its constituent parts individually and systematically test the effect of different design variants on the movement patterns. This allows us to identify the design parameters that most strongly affect the shape of the energy landscapes of the systems. Taking into account these insights, we are able to create devices with significantly flatter energy landscapes, which translates to mechanical nanodevices with improved performance and behaviors more closely resembling those of their macroscopic counterparts.     

Are we there yet? Tracking the development of new model systems

It is increasingly clear that additional 'model' systems are needed to elucidate the genetic and developmental basis of organismal diversity. Whereas model system development previously required enormous investment, recent advances including the decreasing cost of DNA sequencing and the power of reverse genetics to study gene function are greatly facilitating the process. In this review, we consider two aspects of the development of new genetic model systems: first, the types of questions being advanced using these new models; and second, the essential characteristics and molecular tools for new models, depending on the research focus. We hope that researchers will be inspired to explore this array of emerging models and even consider developing new molecular tools for their own favorite organism.     

Comparison of molecular mechanisms mediating cell contact phenomena in model developmental systems: an exploration of universality

Are there universal molecular mechanisms associated with cell contact phenomena during metazoan ontogenesis? Comparison of adhesion systems in disparate model systems indicates the existence of unifying principles. Requirements for multicellularity are (a) the construction of three‐dimensional structures involving a crucial balance between adhesiveness and motility; and (b) the establishment of integration at molecular, cellular, tissue, and organismal levels of organization. Mechanisms for (i) cell–cell and cell–substrate adhesion, (if) cell movement, (Hi) cell‐cell communication, (iv) cellular responses, (v) regulation of these processes, and (vi) their integration with patterning, growth, and other developmental processes are all crucial to metazoan development, and must have been present for the emergence and radiation of Metazoa. The principal unifying themes of this review are the dynamics and regulation of cell contact phenomena. Our knowledge of the dynamic molecular mechanisms underlying cell contact phenomena remains fragmentary. Here we examine the molecular bases of cell contact phenomena using extant model developmental systems (representing a wide range of phyla) including the simplest i.e. sponges, and the eukaryotic protist Dictyostelium discoideum, the more complex Drosophila melanogaster, and vertebrate systems. We discuss cell contact phenomena in a broad developmental context. The molecular language of cell contact phenomena is complex; it involves a plethora of structurally and functionally diverse molecules, and diverse modes of intermolecular interactions mediated by protein and/or carbohydrate moieties. Reasons for this are presumably the necessity for a high degree of specificity of inter‐molecular interactions, the requirement for a multitude of different signals, and the apparent requirement for an increasingly large repertoire of cell contact molecules in more complex developmental systems, such as the developing vertebrate nervous system. However, comparison of molecular models for dynamic adhesion in sponges and in vertebrates indicates that, in spite of significant differences in the details of the way specific cell–cell adhesion is mediated, similar principles are involved in the mechanisms employed by members of disparate phyla. Universal requirements are likely to include (a) rapidly reversible intermolecular interactions; (b) low‐affinity intermolecular interactions with fast on–off rates; (c) the compounding of multiple intermolecular interactions; (d) associated regulatory signalling systems. The apparent widespread employment of molecular mechanisms involving cadherin‐like cell adhesion molecules suggests the fundamental importance of cadherin function during development, particularly in epithelial morphogenesis, cell sorting, and segregation of cells.     

Emerging biological materials through molecular self-assembly

Understanding of new materials at the molecular level has become increasingly critical for a new generation of nanomaterials for nanotechnology, namely, the design, synthesis and fabrication of nanodevices at the molecular scale. New technology through molecular self-assembly as a fabrication tool will become tremendously important in the coming decades. Basic engineering principles for microfabrication can be learned by understanding the molecular self-assembly phenomena. Self-assembly phenomenon is ubiquitous in nature. The key elements in molecular self-assembly are chemical complementarity and structural compatibility through noncovalent interactions. We have defined the path to understand these principles. Numerous self-assembling systems have been developed ranging from models to the study of protein folding and protein conformational diseases, to molecular electronics, surface engineering, and nanotechnology. Several distinctive types of self-assembling peptide systems have been developed. Type I, "molecular Lego" forms a hydrogel scaffold for tissue engineering; Type II, "molecular switch" as a molecular actuator; Type III, "molecular hook" and "molecular velcro" for surface engineering; Type IV, peptide nanotubes and nanovesicles, or "molecular capsule" for protein and gene deliveries and Type V, "molecular cavity" for biomineralization. These self-assembling peptide systems are simple, versatile and easy to produce. These self-assembly systems represent a significant advance in the molecular engineering for diverse technological innovations.     

20 Supramolecular polymerization of nucleobase-like monomers in water

Elucidating the physiochemical principles that govern molecular self-assembly is of great importance for understanding biological systems and may provide insight into the emergence of the earliest macromolecules of life, an important challenge facing the RNA World hypothesis. Self-assembly results from a delicate balance between multiple noncovalent interactions and solvent effects, but achieving efficient self-assembly in aqueous solution with synthetic molecules has proven particularly challenging. Here, we demonstrate how two physical properties – monomer solubility and large hydrophobic surfaces of intermediate structures – are key elements to achieving supramolecular polymers in aqueous solution (Cafferty et al., 2013). Applying these two principles, we report the highly cooperative self-assembly of two weakly interacting, low molecular weight monomers [cyanuric acid and a modified triaminopyrimidine] into a water-soluble supramolecular assembly (see scheme below). The observed equilibrium between only two appreciably populated states – free monomers and supramolecular assemblies – is in excellent agreement with the values previously determined for the free energy of hydrogen bonding (Klostermeier & Millar, 2002), π???π stacking (Frier et al., 1985), and the calculated free energy penalty for the solvation of hydrophobic structures in water (Chandler, 2005). The similarity of the molecules used in this study for the nucleobases found in contemporary nucleic acids and the demonstration that these monomers assemble while the natural nucleobases do not, suggests that the first informational polymers may have emerged from a similar self-assembly process, if the nucleobases were different then they are today (Hud et al., 2013).     

Geometry and force control of cell function

Tissue engineering is becoming increasingly ambitious in its efforts to create functional human tissues, and to provide stem cell scientists with culture systems of high biological fidelity. Novel engineering designs are being guided by biological principles, in an attempt to recapitulate more faithfully the complexities of native cellular milieu. Three‐dimensional (3D) scaffolds are being designed to mimic native‐like cell environments and thereby elicit native‐like cell responses. Also, the traditional focus on molecular regulatory factors is shifting towards the combined application of molecular and physical factors. Finally, methods are becoming available for the coordinated presentation of molecular and physical factors in the form of controllable spatial and temporal gradients. Taken together, these recent developments enable the interrogation of cellular behavior within dynamic culture settings designed to mimic some aspects of native tissue development, disease, or regeneration. We discuss here these advanced cell culture environments, with emphasis on the derivation of design principles from the development (the biomimetic paradigm) and the geometry‐force control of cell function (the biophysical regulation paradigm). J. Cell. Biochem. 108: 1047–1058, 2009. © 2009 Wiley‐Liss, Inc.     

Can we build synthetic,multicellular systems by controlling developmental signaling in space and time?

Using biological machinery to make new, functional molecules is an exciting area in chemical biology. Complex molecules containing both 'natural' and 'unnatural' components are made by processes ranging from enzymatic catalysis to the combination of molecular biology with chemical tools. Here, we discuss applying this approach to the next level of biological complexity -- building synthetic, functional biotic systems by manipulating biological machinery responsible for development of multicellular organisms. We describe recent advances enabling this approach, including first, recent developmental biology progress unraveling the pathways and molecules involved in development and pattern formation; second, emergence of microfluidic tools for delivering stimuli to a developing organism with exceptional control in space and time; third, the development of molecular and synthetic biology toolsets for redesigning or de novo engineering of signaling networks; and fourth, biological systems that are especially amendable to this approach.     

Nanobiotechnology: the promise and reality of new approaches to molecular recognition

Nanobiotechnology is the convergence of engineering and molecular biology that is leading to a new class of multifunctional devices and systems for biological and chemical analysis with better sensitivity and specificity and a higher rate of recognition. Nano-objects with important analytical applications include nanotubes, nanochannels, nanoparticles, nanopores and nanocapacitors. Here, we take a critical look at the subset of recent developments in this area relevant to molecular recognition. Potential benefits of using nano-objects (nanotubes, quantum dots, nanorods and nanoprisms) and nanodevices (nanocapacitors, nanopores and nanocantilevers) leading to an expanded range of label multiplexing are described along with potential applications in future diagnostics. We also speculate on further pathways in nanotechnology development and the emergence of order in this somewhat chaotic, yet promising, new field.     

A computational avenue towards understanding and design of zwitterionic anti-biofouling materials

ABSTRACT

This review introduces a computational avenue towards understanding and design of zwitterionic anti-biofouling materials. Biofouling means nonspecific adsorption of proteins, cells, and bacteria on materials and devices. It can sabotage materials functions and bring detrimental effects on the biological systems. Various anti-biofouling materials have been developed and zwitterionic materials emerge as promising candidates recently. The design and understanding of zwitterionic anti-biofouling materials rely on the answers of three fundamental questions: (a) what molecular properties govern the anti-biofouling performance of materials, (b) what is the structure–property-anti-biofouling relationship for materials, and (c) how to identify anti-biofouling materials based on the revealed mechanisms? This paper discussed the efforts of answering the three questions using molecular simulations. We first discuss the simulations that revealed the importance of hydration in the anti-biofouling performance of materials and why this mechanism leads to the discovery of zwitterionic anti-biofouling materials, then the simulations that investigated structure-properties-performance relationships of zwitterionic anti-biofouling materials, and the development of computational approaches that can identify zwitterionic anti-biofouling molecules. Finally, we discuss the opportunities in understanding and design of anti-biofouling biomaterials using computer simulations.