Central dogma of molecular biology

Wagner and Dollo: a stochastic duet by composing two parsimonious solos

New contributions toward generalizing evolutionary models expand greatly our ability to analyze complex evolutionary characters and advance phylogeny reconstruction. In this article, we extend the binary stochastic Dollo model to allow for multi-state characters. In doing so, we align previously incompatible Wagner and Dollo parsimony principles under a common probabilistic framework by embedding arbitrary continuous-time Markov chains into the binary stochastic Dollo model. This approach enables us to analyze character traits that exhibit both Dollo and Wagner characteristics throughout their evolutionary histories. Utilizing Bayesian inference, we apply our novel model to analyze intron conservation patterns and the evolution of alternatively spliced exons. The generalized framework we develop demonstrates potential in distinguishing between phylogenetic hypotheses and providing robust estimates of evolutionary rates. Moreover, for the two applications analyzed here, our framework is the first to provide an adequate stochastic process for the data. We discuss possible extensions to the framework from both theoretical and applied perspectives.

Extracellular functional noncoding nucleic acid bioaptamers and angiotropin RNP ribokines in vascularization and self-tolerance

Endogenous extracellular and circulating functional small noncoding nucleic acids (ncNAs; <200 nucleotides) and complexes with proteins (ribonucleoproteins; RNPs) make up varying biolibraries of molecular imprints of cellular histories. They are nascently formed upon cellular activation by extrinsic (environmental) factors, including mitogens, cell-mediated immune memory reactions (Landsteiner-Chase-Lawrence transfer factors), and metabolic (hypoxia) and (physical) shear stress forces. Those factors are conventional models for epigenetic (non-Mendelian) vascular remodeling variations directed rather to proteinaceous gene expression and regulation than genomic DNA sequence changes. Structurally defined ncNAs are described as small hairpin nc-shRNA bioaptamers in interaction with proteins forming functional (Cu,Ca,Na,K)-metalloregulated complexes (CuRNP; angiotropins). As nonmitogenic angiomorphogen cytokines (ribokines), they may reprogram confluent quiescent (contact-inhibited) endothelial cell types to migratory, phagokinetically active phenotypes in the morphogenesis of tolerated neovascular patterns. Their functions in organized and mess-chaotic vascular patterns were investigated with regard to master gene, information, epigenetic, vascular, and tumor factors. Some ncNAs feature three-dimensional codes (3D episcripts) for distinct protein conformer phases. They are suggested as being specific recognition types, the estimated repertoires of which are superior in diversity and specificity to conventional immune (glyco-)proteins. For episcription of phenotype variations, they may address and integrate information flow on molecular shapes to protein-mediated nucleic acid processing and [post-]translational modification mechanisms in ncNA-, redox, and metalloregulated conformation phase pathway-locked loops (CPLL). Several vascular and cancer epigenetic regulator proteins are shown to be entangled by sharing helix-nucleating structural (proteomic) domains for interaction with functional nc-shRNA, termed K/RxxxH (K/R3H, -xK/RxxxHx(7-9)h/xx(7-9)h/xx(5-20)K/Rx-). This would suggest a tolerated mess-chaotic tumor vascularization as a bioaptamer disorder in ncNA-switched proteinaceous genetic and epigenetic processes.

Molecular epigenetics, chromatin, and NeuroAIDS/HIV: translational implications

We describe current research that applies epigenetics to a novel understanding of the immuno-neuropathogenesis of HIV-1 viral infection and NeuroAIDS. We propose the hypothesis that HIV-1 alters the structure-function relationship of chromatin, coding DNA and non-coding DNA, including RNA transcribed from these regions resulting in pathogenesis in AIDS, drug abuse, and NeuroAIDS. We discuss the general implications of molecular epigenetics with special emphasis on drug abuse, bar-codes, pyknons, and miRNAs for translational and clinical research. We discuss the application of the recent recursive algorithm of biology to this field and propose to synthesize the Genomic and Epigenomic views into a holistic approach of HoloGenomics.

Gene concepts and genethics: beyond exceptionalism

The discursive explosion that was provoked by the new genetics could support the impression that the ethical and social problems posed by the new genetics are somehow exceptional in their very nature. According to this view we are faced with special ethical and social problems that create a challenge so fundamental that the special label of genethics is needless to justify. The historical account regarding the evolution of the gene concepts could serve us to highlight the limits of what we know about genes and what we can do with genes. The widespread notion about the exceptionality of genetic knowledge and its applicative possibilities is hardly justifiable and leads to misunderstandings regarding the conceptualization of the ethical and social problems we might face. Following a more realistic interpretation of the role of genes in human life we might avoid a whole set of fictive dilemmas and counterproductive regulatory efforts in bioethics. Bioethical discourse should move from the gene-centered scientific discourse toward the more sophisticated and complex discourses where human development represented as a matter of complex interactions between genomes and environments, between genes, educational factors, nutritional regimes, and other different developmental resources. If a gene is seen as one among the different developmental resources that are shaping a given human trait then both genethics and genetic exceptionalism could hardly be represented as a justified approach in discussing the ethical and social problems of genetics.

Beyond the oncogene paradigm: understanding complexity in cancerogenesis

In the past decades, an enormous amount of precious information has been collected about molecular and genetic characteristics of cancer. This knowledge is mainly based on a reductionistic approach, meanwhile cancer is widely recognized to be a 'system biology disease'. The behavior of complex physiological processes cannot be understood simply by knowing how the parts work in isolation. There is not solely a matter how to integrate all available knowledge in such a way that we can still deal with complexity, but we must be aware that a deeply transformation of the currently accepted oncologic paradigm is urgently needed. We have to think in terms of biological networks: understanding of complex functions may in fact be impossible without taking into consideration influences (rules and constraints) outside of the genome. Systems Biology involves connecting experimental unsupervised multivariate data to mathematical and computational approach than can simulate biologic systems for hypothesis testing or that can account for what it is not known from high-throughput data sets. Metabolomics could establish the requested link between genotype and phenotype, providing informations that ensure an integrated understanding of pathogenic mechanisms and metabolic phenotypes and provide a screening tool for new targeted drug.

Sialic acids in human health and disease

The surfaces of all vertebrate cells are decorated with a dense and complex array of sugar chains, which are mostly attached to proteins and lipids. Most soluble secreted proteins are also similarly decorated with such glycans. Sialic acids are a diverse family of sugar units with a nine-carbon backbone that are typically found attached to the outermost ends of these chains. Given their location and ubiquitous distribution, sialic acids can mediate or modulate a wide variety of physiological and pathological processes. This review considers some examples of their established and newly emerging roles in aspects of human physiology and disease.

[Stoichiometric, my dear Watson!]

Living organisms can be seen as complex chemicals interacting with their environment through chemical reactions. As such, they are subjected to the laws of stoichiometry: their constitutive elements (atoms) cannot be created (they must be found in their environment) nor destroyed. Acknowledging these rules led ecologists to the concept of "biological stoichiometry". In this review, I want to show that combining (1) the study of the elemental composition of biopolymers and (2) the ecologist's point of view, particularly the concept of biological stoichiometry, benefits molecular biology. In particular, this coupled approach unveils parts of the history of organisms, helps interpreting transcriptional profiles and sheds a different light on the growth of carcinogenic tumors.

Erwin Schroedinger, Francis Crick and epigenetic stability

Schroedinger's book 'What is Life?' is widely credited for having played a crucial role in development of molecular and cellular biology. My essay revisits the issues raised by this book from the modern perspective of epigenetics and systems biology. I contrast two classes of potential mechanisms of epigenetic stability: 'epigenetic templating' and 'systems biology' approaches, and consider them from the point of view expressed by Schroedinger. I also discuss how quantum entanglement, a nonclassical feature of quantum mechanics, can help to address the 'problem of small numbers' that led Schroedinger to promote the idea of a molecular code-script for explaining the stability of biological order.

Chemogenomics and biotechnology

A robust knowledge of the interactions between small molecules and specific proteins aids the development of new biotechnological tools and the identification of new drug targets, and can lead to specific biological insights. Such knowledge can be obtained through chemogenomic screens. In these screens, each small molecule from a chemical library is applied to each cell type from a library of cells, and the resulting phenotypes are recorded. Chemogenomic screens have recently become very common and will continue to generate large amounts of data. The interpretation of this data will occupy biologists and chemists alike for some time to come. This review discusses methods for the acquisition and interpretation of chemogenomic data, in addition to possible applications of chemogenomics in biotechnology.

Natural or internal selection? The case of canalization in complex evolutionary systems

Using biological examples and theoretical arguments, the case is presented for extending the notion of natural selection to include internal selection in order to account for the evolution of complex systems. It is suggested that we take into consideration internal factors that arise from the hierarchical dynamics of complex systems. In addition to environmental selection, it is argued, decisive constraints are created by the system itself. Canalization is shown to be an indispensable ingredient for evolutionary processes in both biological and artificial complex systems. In artificial life systems canalization is not only an instrument for controlling complexity, it also increases the speed and stability of evolutionary processes.

Claude Bernard, the first systems biologist, and the future of physiology

The first systems analysis of the functioning of an organism was Claude Bernard's concept of the constancy of the internal environment (le milieu intérieur), since it implied the existence of control processes to achieve this. He can be regarded, therefore, as the first systems biologist. The new vogue for systems biology today is an important development, since it is time to complement reductionist molecular biology by integrative approaches. Claude Bernard foresaw that this would require the application of mathematics to biology. This aspect of Claude Bernard's work has been neglected by physiologists, which is why we are not as ready to contribute to the development of systems biology as we should be. In this paper, I outline some general principles that could form the basis of systems biology as a truly multilevel approach from a physiologist's standpoint. We need the insights obtained from higher-level analysis in order to succeed even at the lower levels. The reason is that higher levels in biological systems impose boundary conditions on the lower levels. Without understanding those conditions and their effects, we will be seriously restricted in understanding the logic of living systems. The principles outlined are illustrated with examples from various aspects of physiology and biochemistry. Applying and developing these principles should form a major part of the future of physiology.

Origin of phenotypes: genes and transcripts

While the concept of a gene has been helpful in defining the relationship of a portion of a genome to a phenotype, this traditional term may not be as useful as it once was. Currently, "gene" has come to refer principally to a genomic region producing a polyadenylated mRNA that encodes a protein. However, the recent emergence of a large collection of unannotated transcripts with apparently little protein coding capacity, collectively called transcripts of unknown function (TUFs), has begun to blur the physical boundaries and genomic organization of genic regions with noncoding transcripts often overlapping protein-coding genes on the same (sense) and opposite strand (antisense). Moreover, they are often located in intergenic regions, making the genic portions of the human genome an interleaved network of both annotated polyadenylated and nonpolyadenylated transcripts, including splice variants with novel 5' ends extending hundreds of kilobases. This complex transcriptional organization and other recently observed features of genomes argue for the reconsideration of the term "gene" and suggests that transcripts may be used to define the operational unit of a genome.

The extant core bacterial proteome is an archive of the origin of life

Genes consistently present in a clique of genomes, preferring the leading DNA strands are deemed persistent. The persistent bacterial proteome organises around intermediary and RNA metabolism, and RNA-related information transfer, with a significant contribution to compartmentalisation. Despite inevitable losses during evolution, the extant persistent proteome displays functions present early on. Proteins coded by genes staying clustered in a majority of genomes constitute a network of mutual attraction made up of three concentric circles. The outer one, mostly devoted to metabolism, breaks into small pieces and fades away. The second, more continuous, one organises around class I tRNA synthetases. The well-connected inner circle comprises the ribosome and information transfer. This reflects the progressive construction of cells, starting from the metabolism of coenzymes, nucleotides and fatty acids-related molecules. Subsequently, a core set of aminoacyl-tRNA synthetases scaffolded around RNA, connected to cell division machinery and organised metabolism around translation. This remarkable organisation reflects the evolution of life from small molecules metabolism to the RNA world, suggesting that extant microorganisms carry the marks of the ancient processes that created life. Further analysis suggests that RNA degradation, associated to the presence of iron, still plays a role in extant metabolism, including the evolution of genome structures.

Philosophy of biology: about the fossilization of disciplines and other embryonic thoughts

This paper focuses on a running dispute between Werner Callebaut's naturalistic view and Filip Kolen and Gertrudis Van de Vijver's transcendentalist view on the nature of philosophy of biology and the relation of this discipline to biological sciences. It is argued that, despite differences in opinion, both positions agree that philosophy of biology's ultimate goal is to 'move' biology or at least be 'meaningful' to it. In order to make this goal clear and effective, more is needed than a polarizing debate which hardly touches upon biology. Therefore, a redirection in discussion is suggested towards a reflection on the possibilities of incorporating philosophy in interdisciplinary research, and on finding concrete research questions which are of interest both to the philosopher and to the biologist.

On the origin of the translation system and the genetic code in the RNA world by means of natural selection, exaptation, and subfunctionalization

BACKGROUND

The origin of the translation system is, arguably, the central and the hardest problem in the study of the origin of life, and one of the hardest in all evolutionary biology. The problem has a clear catch-22 aspect: high translation fidelity hardly can be achieved without a complex, highly evolved set of RNAs and proteins but an elaborate protein machinery could not evolve without an accurate translation system. The origin of the genetic code and whether it evolved on the basis of a stereochemical correspondence between amino acids and their cognate codons (or anticodons), through selectional optimization of the code vocabulary, as a "frozen accident" or via a combination of all these routes is another wide open problem despite extensive theoretical and experimental studies. Here we combine the results of comparative genomics of translation system components, data on interaction of amino acids with their cognate codons and anticodons, and data on catalytic activities of ribozymes to develop conceptual models for the origins of the translation system and the genetic code.

RESULTS

Our main guide in constructing the models is the Darwinian Continuity Principle whereby a scenario for the evolution of a complex system must consist of plausible elementary steps, each conferring a distinct advantage on the evolving ensemble of genetic elements. Evolution of the translation system is envisaged to occur in a compartmentalized ensemble of replicating, co-selected RNA segments, i.e., in a RNA World containing ribozymes with versatile activities. Since evolution has no foresight, the translation system could not evolve in the RNA World as the result of selection for protein synthesis and must have been a by-product of evolution drive by selection for another function, i.e., the translation system evolved via the exaptation route. It is proposed that the evolutionary process that eventually led to the emergence of translation started with the selection for ribozymes binding abiogenic amino acids that stimulated ribozyme-catalyzed reactions. The proposed scenario for the evolution of translation consists of the following steps: binding of amino acids to a ribozyme resulting in an enhancement of its catalytic activity; evolution of the amino-acid-stimulated ribozyme into a peptide ligase (predecessor of the large ribosomal subunit) yielding, initially, a unique peptide activating the original ribozyme and, possibly, other ribozymes in the ensemble; evolution of self-charging proto-tRNAs that were selected, initially, for accumulation of amino acids, and subsequently, for delivery of amino acids to the peptide ligase; joining of the peptide ligase with a distinct RNA molecule (predecessor of the small ribosomal subunit) carrying a built-in template for more efficient, complementary binding of charged proto-tRNAs; evolution of the ability of the peptide ligase to assemble peptides using exogenous RNAs as template for complementary binding of charged proteo-tRNAs, yielding peptides with the potential to activate different ribozymes; evolution of the translocation function of the protoribosome leading to the production of increasingly longer peptides (the first proteins), i.e., the origin of translation. The specifics of the recognition of amino acids by proto-tRNAs and the origin of the genetic code depend on whether or not there is a physical affinity between amino acids and their cognate codons or anticodons, a problem that remains unresolved.

CONCLUSION

We describe a stepwise model for the origin of the translation system in the ancient RNA world such that each step confers a distinct advantage onto an ensemble of co-evolving genetic elements. Under this scenario, the primary cause for the emergence of translation was the ability of amino acids and peptides to stimulate reactions catalyzed by ribozymes. Thus, the translation system might have evolved as the result of selection for ribozymes capable of, initially, efficient amino acid binding, and subsequently, synthesis of increasingly versatile peptides. Several aspects of this scenario are amenable to experimental testing.

On kinetics of phage adsorption

Adsorption of lambda-phage on sensitive bacteria Escherichia coli is a classical problem but not all issues have been resolved. One of the outstanding problems is the rate of adsorption, which in some cases appears to exceed the theoretical limit imposed by the law of random diffusion. We revisit this problem by conducting experiments along with new theoretical analyses. Our measurements show that upon incubating lambda-phage with bacteria Ymel, the population of unbound phage in a salt buffer decreases with time and in general obeys a double-exponential function characterized by a fast (tau(1)) and a slow (tau(2)) decay time. We found that both the fast and the slow processes are specific to interactions between lambda-phage and its receptor LamB. Such specificity motivates a kinetic model that describes the interaction between the phage and the receptor as an on-and-off process followed by an irreversible binding. The latter may be a signature of the initiation of DNA translocation. The kinetic model successfully predicts the double exponential behavior seen in the experiment and allows the corresponding rate constants to be extracted from single measurements. The weak temperature dependence of the reversible and the irreversible binding rate suggests that phage retention by the receptor is entropic in nature and that a molecular key-lock interaction may be an appropriate description of the interaction between the phage tail and the receptor.

RNABC: forward kinematics to reduce all-atom steric clashes in RNA backbone

Although accurate details in RNA structure are of great importance for understanding RNA function, the backbone conformation is difficult to determine, and most existing RNA structures show serious steric clashes (>or= 0.4 A overlap) when hydrogen atoms are taken into account. We have developed a program called RNABC (RNA Backbone Correction) that performs local perturbations to search for alternative conformations that avoid those steric clashes or other local geometry problems. Its input is an all-atom coordinate file for an RNA crystal structure (usually from the MolProbity web service), with problem areas specified. RNABC rebuilds a suite (the unit from sugar to sugar) by anchoring the phosphorus and base positions, which are clearest in crystallographic electron density, and reconstructing the other atoms using forward kinematics. Geometric parameters are constrained within user-specified tolerance of canonical or original values, and torsion angles are constrained to ranges defined through empirical database analyses. Several optimizations reduce the time required to search the many possible conformations. The output results are clustered and presented to the user, who can choose whether to accept one of the alternative conformations. Two test evaluations show the effectiveness of RNABC, first on the S-motifs from 42 RNA structures, and second on the worst problem suites (clusters of bad clashes, or serious sugar pucker outliers) in 25 unrelated RNA structures. Among the 101 S-motifs, 88 had diagnosed problems, and RNABC produced clash-free conformations with acceptable geometry for 71 of those (about 80%). For the 154 worst problem suites, RNABC proposed alternative conformations for 72. All but 8 of those were judged acceptable after examining electron density (where available) and local conformation. Thus, even for these worst cases, nearly half the time RNABC suggested corrections suitable to initiate further crystallographic refinement. The program is available from http://kinemage.biochem.duke.edu .

Mouse Mammary Tumor Biology: A Short History

For over a century, mouse mammary tumor biology and the associated Mouse mammary tumor virus (MMTV) have served as the foundation for experimental cancer research, in general, and, in particular, experimental breast cancer research. Spontaneous mouse mammary tumors were the basis for studies of the natural history of neoplasia, oncogenic viruses, host responses, endocrinology, and neoplastic progression. However, lacking formal proof of a human mammary tumor virus, the preeminence of the mouse model faded in the 1980s. Since the late 1980s, genetically engineered mice (GEM) have proven extremely useful for studying breast cancer and have become the animal model for human breast cancer. Hundreds of mouse models of human breast cancer have been developed since the first demonstration, in 1984, that the mouse mammary gland could be molecularly targeted and used to test the oncogenicity of candidate human genes. Now, very few scientists can avoid using a mouse model to test the biology of their favorite gene. The GEM have attracted a new generation of molecular and cellular biologists eager to apply their skills to these surrogates of the human disease. Newcomers often enter the field without an appreciation of the origins of mouse mammary tumor biology and the basis for many of the prevailing concepts. Our purpose in writing this short history of mouse mammary tumor biology is to provide a historical perspective for the benefit of the newcomers. If Einstein was correct in that "we stand on the shoulders of giants," the neophytes should meet their giants.

Conversion of a ribozyme to a deoxyribozyme through in vitro evolution

An RNA ligase ribozyme was converted to a corresponding deoxyribozyme through in vitro evolution. The ribozyme was prepared as a DNA molecule of the same sequence, and had no detectable activity. A population of randomized variants of this DNA was constructed and evolved to perform RNA ligation at a rate similar to that of the starting ribozyme. When the deoxyribozyme was prepared as an RNA molecule of the same sequence, it had no detectable activity. Thus, the evolutionary transition from an RNA to a DNA enzyme represents a switch, rather than a broadening, of the chemical basis for catalytic function. This transfer of both information and function is relevant to the transition between two different genetic systems based on nucleic acid-like molecules, as postulated to have occurred during the early history of life on Earth.

The formulation of the control of an expression pattern in a gene network by propositional calculus

In this study we model a gene network as a continuous-time switching network. In this model, each gene has a binary state which indicates if the gene expresses or not. We propose a method to control a sequence of expression patterns in the gene network model by adding another continuous-time switching network. By using propositional calculus, we will show that the control problem can be formulated as a mixed-integer linear programming problem with linear constraints.

Tandemly Activated tRNAs as Participants in Protein Synthesis

While all studies of protein synthesis to date have employed monoaminoacylated transfer RNAs, there have been reports that bisphenylalanyl-tRNA is formed by Thermus thermophilus phenylalanyl-tRNA synthetase. Such tandemly activated tRNAs have now been prepared by chemicoenzymatic techniques and are shown to function in both prokaryotic and mammalian protein synthesizing systems. They exhibit characteristics consistent with their possible utility under extreme conditions in natural systems and have important potential advantages for protein elaboration in cell free systems. Mechanistically, the bisaminoacylated tRNAs bind to the ribosomal A-site and utilize the aminoacyl moiety attached to the 3'-position of the terminal adenosine for addition to the growing polypeptide chain. Following translocation to the P-site and transfer of the formed peptidyl moiety, the donor tRNA dissociates from the ribosome as a monoaminoacylated tRNA capable of functioning in a subsequent polypeptide elongation step.

The human stratum corneum as extended, covalently cross-linked biopolymer: mathematics, molecules, and medicine

A novel mathematical and molecular hypothesis is proposed to account for the peculiar organization of human epidermis. Mathematically, the organization of the interfollicular epidermis is hypothesized to be a tetratomic identity manifesting a gravitational logic in the arrangement of its functional compartments. The squares of the natural numbers; i.e., 1, 4, 9, and 16 are taken, on empirical grounds, to correspond to the number of cell layers in the respective epidermal strata (germinativum, spinosum, granulosum, and corneum). The outer two strata, overlying the Langerhans cells, constitute the 'living' and 'dead' components of the traditional 'epidermal barrier'. Together, these two strata illustrate in their union of 9 + 16 = 25 cells, a way of conceiving the skin surface (the body-environment identity) as both closure and contact. The organization of human epidermis into functional units based on phi, the golden section ratio, builds upon this gravitational logic. Finally, the fact that the extensively cross-linked proteolipid envelope of the cornified epidermal cell is a single multi-gene molecule is deemed scientifically incontrovertible. The molecular hypothesis in need of validation and verification is whether the corneodesmosomal 'rivets' linking one corneocyte to another are covalently bonded structures. If so, the cornified scaffolding of the stratum corneum constitutes a highly organized, extended, multi-gene, polymer molecule strategically located precisely at the shared surface of the body and environment. This hypothesis places the differentiated structure of the epidermis, an ectodermal derivative like the brain, front and center in the translation of molecular biology to clinical bedside care.

From machine and tape to structure and function: formulation of a reflexively computing system

The relationship between structure and function is explored via a system of labeled directed graph structures upon which a single elementary read/write rule is applied locally. Boundaries between static (information-carrying) and active (information-processing) objects, imposed by mandate of the rules or physics in earlier models, emerge instead as a result of a structure-function dynamic that is reflexive: objects may operate directly on their own structure. A representation of an arbitrary Turing machine is reproduced in terms of structural constraints by means of a simple mapping from tape squares and machine states to a uniform medium of nodes and links, establishing computation universality. Exploiting flexibility of the formulation, examples of other unconventional "self-computing" structures are demonstrated. A straightforward representation of a kinematic machine system based on the model devised by Laing is also reproduced in detail. Implications of the findings are discussed in terms of their relation to other formal models of computation and construction. It is argued that reflexivity of the structure-function relationship is a critical informational dynamic in biochemical systems, overlooked in previous models but well captured by the proposed formulation.

Prion diseases and the frame-shifting hypothesis

A group of neurological diseases, which includes scrapie, bovine spongiform encephalopathy and Creutzfeldt-Jakob disease, is caused by prion agents which appear to be comprised solely of an abnormal variant of a cellular protein, PrP. Infectious agents which contain no genetic material pose a conundrum for molecular biologists. Theoretical analysis of the gene encoding PrP has suggested a possible mechanism of replication for this proteinaceous infectious agent. The putative mechanism involves frame-shifting during translation of the PrP gene. The normal and abnormal forms of PrP are predicted to have different amino acid sequences.

Discovering novel biology by in silico archaeology

Archaea are prokaryotes that evolved in parallel with bacteria. Since the discovery of the distinct status of the Archaea, extensive physiological and biochemical research has been conducted to elucidate the molecular basis of their remarkable lifestyle and their unique biology. Here, we discuss how in-depth comparative genomics has been used to improve the annotation of archaeal genomes. Combined with experimental verification, bioinformatic analysis contributes to the ongoing discovery of novel metabolic conversions and control mechanisms, and as such to a better understanding of the intriguing biology of the Archaea.

Sociality, Spirituality, and Meaning Making: Chicago Health, Aging, and Social Relations Study

Scientific theories in the natural sciences posit invisible forces operating with measurable effects on physical bodies, but the scientific study of invisible forces acting on human bodies has made limited progress. The topics of sociality, spirituality, and meaning making are cases in point. The authors discuss some of the possible reasons for this as well as contemporary developments in the social sciences and neurosciences that may make such study possible and productive.

Systems biology: new approaches to old environmental health problems

The environment plays a pivotal role as a human health determinant and presence of hazardous pollutants in the environment is often implicated in human disease. That pollutants cause human diseases however is often controversial because data connecting exposure to environmental hazards and human diseases are not well defined, except for some cancers and syndromes such as asthma. Understanding the complex nature of human-environment interactions and the role they play in determining the state of human health is one of the more compelling problems in public health. We are becoming more aware that the reductionist approach promulgated by current methods has not, and will not yield answers to the broad questions of population health risk analysis. If substantive applications of environment-gene interactions are to be made, it is important to move to a systems level approach, to take advantage of epidemiology and molecular genomic advances. Systems biology is the integration of genomics, transcriptomics, proteomics, and metabolomics together with computer technology approaches to elucidate environmentally caused disease in humans. We discuss the applications of environmental systems biology as a route to solution of environmental health problems.

Seven fundamental, unsolved questions in molecular biology. Cooperative storage and bi-directional transfer of biological information by nucleic acids and proteins: an alternative to "central dogma"

The Human Genome Mapping Project provided us a large amount of sequence data. However our understanding of these data did not grow proportionally, because old dogmas still set the limits of our thinking. The gene-centric, reductionistical side of molecular biology is reviewed and seven problems are formulated, each indicating the insufficiency of the "central dogma". The following is concluded and suggested: 1. Genes are located and expressed on both DNA strands; 2. Introns are the source of important biological regulation and diversity; 3. Repeats are the frame of the chromatin structure and participate in the chromatin regulation; 4. The molecular accessibility of the canonical dsDNA structure is poor; 5. The genetic code is co-evolved with the amino acids and there is a stereochemical matching between the codes andamino acids; 6. The flow of information between nucleic acids and proteins is bi-directional and reverse translation might exist; 7. Complex genetic information is always carried and stored by nucleic acids and proteins together.

Genome semantics, in silico multicellular systems and the Central Dogma

Genomes with their complexity and size present what appears to be an impossible challenge. Scientists speak in terms of decades or even centuries before we will understand how genomes and their hosts the cell and the city of cells that make up the multicellular context function. We believe that there will be surprisingly quick progress made in our understanding of genomes. The key is to stop taking the Central Dogma as the only direction in which genome research can scale the semantics of genomes. Instead a top-down approach coupled with a bottom-up approach may snare the unwieldy beast and make sense of genomes. The method we propose is to take in silico biology seriously. By developing in silico models of genomes cells and multicellular systems, we position ourselves to develop a theory of meaning for artificial genomes. Then using that develop a natural semantics of genomes.

Neo-Lamarckian medicine

Darwinian medicine is the treatment of disease based on evolution. The underlying assumption of Darwinian medicine is that traits are coded by genes, which are often assumed to be sequences of DNA nucleotides. The quantitative genetic ramification of this perspective is that traits, including disease susceptibility, are either caused by genes or by the environment, with genotype-by-environment interactions usually considered statistical artefacts. I emphasize also examining those epigenetic signals that can be altered by environmental perturbations and then transmitted to subsequent generations. Although seldom studied, environmentally-alterable meiotically-heritable epigenetic signals exist and provide a mechanism underlying genotype-by-environment interactions. Environment of a parent can affect its descendants by heritably altering epigenetic signals. Neo-Lamarckian medicine is the application of these evolutionary epigenetic notions to diseases and could have enormous public health and environmental policy implications. If industrial contaminants adversely affect organisms by meiotically-heritably altering their epigenetic signals, then cleaning up these contaminants will not remedy the problem. Once contaminants have adversely altered an individual's epigenetic signals, this harm will be transmitted to future generations even if they are not exposed to the contaminant. Exposure to environmental shocks such as free radicals or other carcinogens can alter cytosine methylation patterns on regulatory genes. This can cause cancer by up-regulating genes for cell division or by down-regulating tumour suppressor genes. Environmentally-alterable meiotically-heritable epigenetic signals could also underlie other diseases, such as diabetes, Prader-Willi syndrome, and many complex diseases. If environmentally-altered meiotically-heritable epigenetic effects are widespread - which is an important open empirical question - they have the potential to alter paradigmatic views of evolutionary medicine and the putative dichotomy of nature versus nurture. Neo-Lamarckian medicine would thereby shift emphasis from cure to prevention of diseases.

Extracellular and circulating redox- and metalloregulated eRNA and eRNP: copper ion-structured RNA cytokines (angiotropin ribokines) and bioaptamer targets imparting RNA chaperone and novel biofunctions to S100-EF-hand and disease-associated proteins

Bioassays for cellular differentiation and tissue morphogenesis were used to design methods for isolation of bioactive redox- and metalloregulated nucleic acids and copper ion complexes with proteins from extracellular, circulating, wound, and supernatant fluids of cultured cells. In extracellular biospheres, diversities of nucleic acids were found to be secreted by cells upon activation. They may reflect nucleic acid biolibraries with molecular imprints of cellular history. After removal of protein components, eRNA prototypes exuded by activated cells were sequenced. They are small, endogenous, highly modified and edited, redox- and metalloregulated 5'-end phosphorylated extracellular eRNA (approximately 2-200 bases) with cellular, enzymic, and bioaptamer functions. Fenton-type OH* radical redox reactions may form modified nucleotides in RNA as wobbles eRNA per se, or as copper ion-complex with protein (e.g., S100A12-EF-hand protein, angiotropin-related protein, calgranulin-C, hippocampal neurite differentiation factor) are shown to be bioactive in vivo and in vitro as cytokines (ribokines) and as nonmitogenic angiomorphogens for endothelial cell differentiation in the formation of organoid supracellular capillary structures. As bioaptamers, copper ion-structured eRNA imparts novel biofunctions to proteins that they do not have on their own. The origin of extracellular RNA and intermediate precursors (up to 500 bases) was traced to intracellular parent nucleic acids. Intermediate precursors with and without partial homology were found. This suggests that bioaptamers are not directly retranslatable gene products. Metalloregulated eRNA bioaptamer function was investigated by domains (e.g. 5'...CUG...3' hairpin loop) for folding, bioactivity, and binding of protein with copper, calcium, and alkali metal ion affinity. Vice versa, metalloregulated nucleic acid-binding domains (K3H, R3H) in proteins were identified. Interaction of protein and eRNA docking potentials were visualized by 3D-rapid prototyping of accurate molecular image models based on crystallographic or NMR data. For S100A12-homologous proteins, receptor- and metalloregulated RNA chaperone-shaped protein assemblies were investigated. They suggest insight into signaling cascades as to how eRNA transmits its cytokine (ribokine) bioinformation from the extracellular RNA biosphere into cells. Proteomics of the extracellular RNA biosphere demonstrate the presence of nucleic acid-binding domain homologies in defense-, aging-, and disease-associated neuronal and other proteins as targets for RNA orphans. By structural relationships found to transmissible processes, proteinaceous transfer ("infectivity") and feedback of bioinformation beyond the central dogma of molecular biology are considered in terms of metalloregulated RNA bioaptamer function, nucleic acid-binding domains, and protein conformation.

tRNASer(CGA) differentially regulates expression of wild-type and codon-modified papillomavirus L1 genes

Exogenous transfer RNAs (tRNAs) favor translation of bovine papillomavirus 1 wild-type (wt) L1 mRNA in in vitro translation systems (Zhou et al. 1999, J. Virol., 73, 4972-4982). We, therefore, investigated whether papillomavirus (PV) wt L1 protein expression could be enhanced in eukaryotic cells following exogenous tRNA supplementation. Both Chinese hamster ovary (CHO) and Cos1 cells, transfected with PV1 wt L1 genes, effectively transcribed the genes but did not translate them. However, L1 protein translation was demonstrated following co-transfection with the L1 gene and a gene expressing tRNA(Ser)(CGA). Cell lines, stably transfected with a bovine papillomavirus 1 (BPV1) wt L1 expression construct, produced L1 protein after the transfection of the tRNA(Ser)(CGA) gene, but not following the transfection with basal vectors, suggesting that tRNA(Ser)(CGA) gene enhanced wt L1 translation as a result of endogenous tRNA alterations and phosphorylation of translation initiation factors elF4E and elF2alpha in the tRNA(Ser)(CGA) transfected L1 cell lines. The tRNA(Ser)(CGA) gene expression significantly reduced translation of L1 proteins expressed from codon-modified (HB) PV L1 genes utilizing mammalian preferred codons, but had variable effects on translation of green fluorescent proteins (GFPs) expressed from six serine GFP variants. The changes of tRNA pools appear to match the codon composition of PV wt and HB L1 genes and serine GFP variants to regulate translation of their mRNAs. These findings demonstrate for the first time in eukaryotic cells that translation of the target genes can be differentially influenced by the provision of a single tRNA expression construct.

Post-translational generation of constitutively active cores from larger phosphatases in the malaria parasite, Plasmodium falciparum: implications for proteomics

Background

Although the complete genome sequences of a large number of organisms have been determined, the exact proteomes need to be characterized. More specifically, the extent to which post-translational processes such as proteolysis affect the synthesized proteins has remained unappreciated. We examined this issue in selected protein phosphatases of the protease-rich malaria parasite, Plasmodium falciparum.

Results

P. falciparum encodes a number of Ser/Thr protein phosphatases (PP) whose catalytic subunits are composed of a catalytic core and accessory domains essential for regulation of the catalytic activity. Two examples of such regulatory domains are found in the Ca⁺²-regulated phosphatases, PP7 and PP2B (calcineurin). The EF-hand domains of PP7 and the calmodulin-binding domain of PP2B are essential for stimulation of the phosphatase activity by Ca⁺². We present biochemical evidence that P. falciparum generates these full-length phosphatases as well as their catalytic cores, most likely as intermediates of a proteolytic degradation pathway. While the full-length phosphatases are activated by Ca⁺², the processed cores are constitutively active and either less responsive or unresponsive to Ca⁺². The processing is extremely rapid, specific, and occurs in vivo.

Conclusions

Post-translational cleavage efficiently degrades complex full-length phosphatases in P. falciparum. In the course of such degradation, enzymatically active catalytic cores are produced as relatively stable intermediates. The universality of such proteolysis in other phosphatases or other multi-domain proteins and its potential impact on the overall proteome of a cell merits further investigation.

Effects of additional sequences directly downstream from the AUG on the expression of GFP gene

We have studied the expression of the green fluorescent protein (GFP) gene to gain more understanding of the effects of additional nucleotide triplets (codons) downstream from the initiation codon on the translation of the GFP mRNA in CHO and Cos1 cells. A leader sequence of six consecutive identical codons (GUG, CUC, AGU or UCA) was introduced into a humanized GFP (hm gfp) gene downstream from the AUG to produce four GFP gene variants. Northern blot and RT-PCR analysis indicated that mRNA transcription from the GFP gene was not significantly affected by any of the additional sequences. However, immunoblotting and FACS analysis revealed that AGU and UCA GFP variants produced GFP at a mean level per cell 3.5-fold higher than the other two GFP variants and the hm gfp gene. [35S]-Methionine labeling and immunoprecipitation demonstrate that GFP synthesis was very active in UCA variant transfected-cells, but not in GUG variant and hm gfp transfected-cells. Moreover, proteasome inhibitor MG-132 treatment indicated that the GFPs encoded by each of the GFP variants and the hm gfp were equally stable, and this together with the comparable mRNA levels observed for each construct suggested that the different steady-state GFP concentrations observed reflected different translation efficiencies of the various GFP genes. In addition, the CUC GFP variant, when transiently transfected into CHO or COS-1 cells, did not produce any GFP expressing cells (fully green cells), and the GUG variant produced GFP expressing cells less than 10%, while AGU and UCA GFP variants up to 30-35% in a time course study from 8 to 36 h posttransfection. Analysis of the potential secondary structure of the GFP variant mRNAs especially in the translation initiation region suggested that the secondary structure of the GFP mRNAs was unlikely to explain the different translation efficiencies of the GFP variants. The present findings indicate that a change of the initiation context of the GFP gene by addition of extra coding sequence can alter the translation efficiency of GFP mRNA, providing a means of more efficient expression of GFP in eukaryotic cells.

Developmental dynamics: toward a biologically plausible evolutionary psychology

There has been a conceptual revolution in the biological sciences over the past several decades. Evidence from genetics, embryology, and developmental biology has converged to offer a more epigenetic, contingent, and dynamic view of how organisms develop. Despite these advances, arguments for the heuristic value of a gene-centered, predeterministic approach to the study of human behavior and development have become increasingly evident in the psychological sciences during this time. In this article, the authors review recent advances in genetics, embryology, and developmental biology that have transformed contemporary developmental and evolutionary theory and explore how these advances challenge gene-centered explanations of human behavior that ignore the complex, highly coordinated system of regulatory dynamics involved in development and evolution.