Introduction: twenty five years of the Gibbs Conference on Biothermodynamics

In 2011, the Gibbs Conference on Biothermodynamics will celebrate its 25th anniversary. Since the inaugural meeting in 1987, it has brought together laboratories that lived, breathed and argued about the molecular logic of macromolecular machines. The participants have a deep commitment to understanding the nature of physico-chemical forces that govern regulation of biological systems, and share a passion for applying linkage theory. The collective goal is to understand how ligand binding, subunit assembly and conformational change drive what we observe as physiological processes such as regulated transport, enzyme cascades, gene regulation, membrane permeability, viral infection, intracellular trafficking and folding of macromolecules.In this special issue, articles by former organizers of the Gibbs Conference showcase the current breadth and depth of the field of biothermodynamics, and how thoroughly it is integrated with the study of macromolecular structures, computational modeling and physiological studies of human health and disease.     

Comprehensive DNA microarray analysis of Bacillus subtilis two-component regulatory systems.

It has recently been shown through DNA microarray analysis of Bacillus subtilis two-component regulatory systems (DegS-DegU, ComP-ComA, and PhoR-PhoP) that overproduction of a response regulator of the two-component systems in the background of a deficiency of its cognate sensor kinase affects the regulation of genes, including its target ones. The genome-wide effect on gene expression caused by the overproduction was revealed by DNA microarray analysis. In the present work, we newly analyzed 24 two-component systems by means of this strategy, leaving out 8 systems to which it was unlikely to be applicable. This analysis revealed various target gene candidates for these two-component systems. It is especially notable that interesting interactions appeared to take place between several two-component systems. Moreover, the probable functions of some unknown two-component systems were deduced from the list of their target gene candidates. This work is heuristic but provides valuable information for further study toward a comprehensive understanding of the B. subtilis two-component regulatory systems. The DNA microarray data obtained in this work are available at the KEGG Expression Database website (http://www.genome.ad.jp/kegg/expression).     

The use of analytical sedimentation velocity to extract thermodynamic linkage

For 25 years, the Gibbs Conference on Biothermodynamics has focused on the use of thermodynamics to extract information about the mechanism and regulation of biological processes. This includes the determination of equilibrium constants for macromolecular interactions by high precision physical measurements. These approaches further reveal thermodynamic linkages to ligand binding events. Analytical ultracentrifugation has been a fundamental technique in the determination of macromolecular reaction stoichiometry and energetics for 85 years. This approach is highly amenable to the extraction of thermodynamic couplings to small molecule binding in the overall reaction pathway. In the 1980s this approach was extended to the use of sedimentation velocity techniques, primarily by the analysis of tubulin-drug interactions by Na and Timasheff. This transport method necessarily incorporates the complexity of both hydrodynamic and thermodynamic nonideality. The advent of modern computational methods in the last 20 years has subsequently made the analysis of sedimentation velocity data for interacting systems more robust and rigorous. Here we review three examples where sedimentation velocity has been useful at extracting thermodynamic information about reaction stoichiometry and energetics. Approaches to extract linkage to small molecule binding and the influence of hydrodynamic nonideality are emphasized. These methods are shown to also apply to the collection of fluorescence data with the new Aviv FDS.     

Large multiple organism gene finding by collapsed Gibbs sampling.

The Gibbs sampling method has been widely used for sequence analysis after it was successfully applied to the problem of identifying regulatory motif sequences upstream of genes. Since then, numerous variants of the original idea have emerged: however, in all cases the application has been to finding short motifs in collections of short sequences (typically less than 100 nucleotides long). In this paper, we introduce a Gibbs sampling approach for identifying genes in multiple large genomic sequences up to hundreds of kilobases long. This approach leverages the evolutionary relationships between the sequences to improve the gene predictions, without explicitly aligning the sequences. We have applied our method to the analysis of genomic sequence from 14 genomic regions, totaling roughly 1.8 Mb of sequence in each organism. We show that our approach compares favorably with existing ab initio approaches to gene finding, including pairwise comparison based gene prediction methods which make explicit use of alignments. Furthermore, excellent performance can be obtained with as little as four organisms, and the method overcomes a number of difficulties of previous comparison based gene finding approaches: it is robust with respect to genomic rearrangements, can work with draft sequence, and is fast (linear in the number and length of the sequences). It can also be seamlessly integrated with Gibbs sampling motif detection methods.     

What Happens Inside Lentivirus or Influenza Virus Infected Cells: Insights into Regulation of Cellular and Viral Protein Synthesis

Efficient manipulation of the regulatory mechanisms controlling host cell gene expression provides the means for productive infection by animal viruses. Upon infecting the host cell, viruses must: (i) bypass the cellular antiviral defense mechanisms to prevent the translational blocks imposed by the interferon pathway; and (ii) effectively “hijack” the host protein synthetic machinery into mass production of virion protein components. The multicomponent regulatory nature of cellular gene expression has provided the means of selecting for a diverse range of mechanisms utilized by animal viruses to ensure that replication efficiency is maintained throughout the virus life cycle. One important research component of the careful examination of gene regulation is those studies that focus on elucidating the mechanisms by which viruses control mRNA translation during host cell infection. Much of the work in our laboratory has focused on elucidating the strategies by which human immunodeficiency virus type 1 and influenza virus regulate protein synthesis during infection. Here we describe the ways in which these two distinctly different RNA viruses ensure the selective and efficient translation of their viral mRNAs in infected cells. These strategies include circumvention of the deleterious effects associated with activation of the interferon-induced protein kinase, PKR. Herein we describe our methodologies designed to elucidate the translational regulation in cells infected by these viruses. We conclude with a brief summary of new directions, utilizing these methods, taken toward understanding the translational control mechanisms imposed by these viral systems, and how our studies of virally infected cells have allowed us to identify growth-regulating components of normal, uninfected cells.     

Artificial and engineered chromosomes: developments and prospects for gene therapy

At the gene therapy session of the ICCXV Chromosome Conference (2004), recent advances in the construction of engineered chromosomes and de novo human artificial chromosomes were presented. The long-term aims of these studies are to develop vectors as tools for studying genome and chromosome function and for delivering genes into cells for therapeutic applications. There are two primary advantages of chromosome-based vector systems over most conventional vectors for gene delivery. First, the transferred DNA can be stably maintained without the risks associated with insertion, and second, large DNA segments encompassing genes and their regulatory elements can be introduced, leading to more reliable transgene expression. There is clearly a need for safe and effective gene transfer vectors to correct genetic defects. Among the topics discussed at the gene therapy session and the main focus of this review are requirements for de novo human artificial chromosome formation, assembly of chromatin on de novo human artificial chromosomes, advances in vector construction, and chromosome transfer to cells and animals.     

The combination of transformed and constrained Gibbs energies

Gibbs free energy is the thermodynamic potential representing the fundamental equation at constant temperature, pressure, and molar amounts. Transformed Gibbs energies are important for biochemical systems because the local concentrations within cell compartments cannot yet be determined accurately. The method of Constrained Gibbs Energies adds kinetic reaction extent limitations to the internal constraints of the system thus extending the range of applicability of equilibrium thermodynamics from predefined constraints to dynamic constraints, e.g., adding time-dependent constraints of irreversible chemical change. In this article, the implementation and use of Transformed Gibbs Energies in the Gibbs energy minimization framework is demonstrated with educational examples. The combined method has the advantage of being able to calculate transient thermodynamic properties during dynamic simulation.     

Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network

Background

The complexity of biological systems motivates us to use the underlying networks to provide deep understanding of disease etiology and the human diseases are viewed as perturbations of dynamic properties of networks. Control theory that deals with dynamic systems has been successfully used to capture systems-level knowledge in large amount of quantitative biological interactions. But from the perspective of system control, the ways by which multiple genetic factors jointly perturb a disease phenotype still remain.

Results

In this work, we combine tools from control theory and network science to address the diversified control paths in complex networks. Then the ways by which the disease genes perturb biological systems are identified and quantified by the control paths in a human regulatory network. Furthermore, as an application, prioritization of candidate genes is presented by use of control path analysis and gene ontology annotation for definition of similarities. We use leave-one-out cross-validation to evaluate the ability of finding the gene-disease relationship. Results have shown compatible performance with previous sophisticated works, especially in directed systems.

Conclusions

Our results inspire a deeper understanding of molecular mechanisms that drive pathological processes. Diversified control paths offer a basis for integrated intervention techniques which will ultimately lead to the development of novel therapeutic strategies.     

Control design for sustained oscillation in a two-gene regulatory network

Control strategies for gene regulatory networks have begun to be explored, both experimentally and theoretically, with implications for control of disease as well as for synthetic biology. Recent work has focussed on controls designed to achieve desired stationary states. Another useful objective, however, is the initiation of sustained oscillations in systems where oscillations are normally damped, or even not present. Alternatively, it may be desired to suppress (by damping) oscillations that naturally occur in an uncontrolled network. Here we address these questions in the context of piecewise-affine models of gene regulatory networks with affine controls that match the qualitative nature of the model. In the case of two genes with a single relevant protein concentration threshold per gene, we find that control of production terms (constant control) is effective in generating or suppressing sustained oscillations, while control of decay terms (linear control) is not effective. We derive an easily calculated condition to determine an effective constant control. As an example, we apply our analysis to a model of the carbon response network in Escherichia coli, reduced to the two genes that are essential in understanding its behavior.     

Characterization and changes of a chromosomal-scaffolding protein in human epithelia

Chromosomal-scaffolding proteins exert DNA structural functions during mitosis, and gene regulatory functions such as RNA splicing/polymerization and DNA replication in interphase, allowing the progression of the cell cycle. Recently, it has been reported that topoisomerases play a key role in DNA repair, suggesting an additional regulatory mechanism of the chromosome structure on DNA metabolism and cell cycle checkpoints. Despite the progress made toward the understanding of the genome organization and expression, few changes have been reported in the chromosome scaffold of malignant cells associated with the cancer phenotype. In a previous work, we reported LFM-1 protein (Licensing Factor Model-1) as a chromosomal-scaffold component transiently associated with mitotic chromosomes in MDCK (Madin Darby canine kidney) epithelial cells (Vega-Salas and Salas 1996). In this work, we explore LFM-1 expression in human epithelia with contrasting tumorigenicity during the progression of the cell cycle. Although cell metabolic labeling shows synthesis of a common 87-kDa LFM-1 precursor during G(2)-phase in both non-tumorigenic and cancer cells, surprisingly, the post-translational LFM-1 chromosome-bound polypeptide displays a different apparent molecular weight and binding to chromosomes in the cancer phenotype. The finding of a highly phosphorylated LFM-1 60-kDa form with abnormal binding to chromosomes in human carcinoma cells suggests a structural/regulatory role(s) of the chromosome-scaffold/matrix in DNA metabolism in cancer-related events of cell proliferation.     

On the relationship between dissipation and the rate of spontaneous entropy production from linear irreversible thermodynamics

When systems are far from equilibrium, the temperature, the entropy and the thermodynamic entropy production are not defined and the Gibbs entropy does not provide useful information about the physical properties of a system. Furthermore, far from equilibrium, or if the dissipative field changes in time, the spontaneous entropy production of linear irreversible thermodynamics becomes irrelevant. In 2000 we introduced a definition for the dissipation function and showed that for systems of arbitrary size, arbitrarily near or far from equilibrium, the time integral of the ensemble average of this quantity can never decrease. In the low-field limit, its ensemble average becomes equal to the spontaneous entropy production of linear irreversible thermodynamics. We discuss how these quantities are related and why one should use dissipation rather than entropy or entropy production for non-equilibrium systems.     

Tracking the role of a star in the sky of the new millennium.

The steroidogenic acute regulatory protein is indispensable for the biosynthesis of steroid hormones. Steroidogenic acute regulatory protein mediates the rate-limiting step in steroidogenesis, the transfer of cholesterol from the outer mitochondrial membrane to the inner mitochondrial membrane where it is cleaved to pregnenolone. Its essential role in steroidogenesis was shown when it was discovered that mutations in the steroidogenic acute regulatory protein gene in humans cause the lipoid form of congenital adrenal hyperplasia, a potentially lethal disease resulting from an inability to synthesize steroids. Also, the steroidogenic acute regulatory protein null mouse has a phenotype that is essentially the same as that observed with human mutations. Studies on the regulation of the expression of the steroidogenic acute regulatory protein gene has enjoyed considerable progress, yet the complexity of this regulation indicates that much work remains. The mechanism whereby steroidogenic acute regulatory protein mediates the transfer of cholesterol to the inner mitochondrial membrane remains a mystery, but the recent solving of the structure of the cholesterol transferring domain of a steroidogenic acute regulatory protein homolog coupled with structure-function studies of steroidogenic acute regulatory protein in natural and synthetic membranes has allowed for at least two models to be proposed. This review will briefly attempt to summarize what is currently known about the regulation of the steroidogenic acute regulatory protein gene and its mechanism of action, fully understanding that in both areas considerable gaps in our knowledge remain.     

Perspective: a stirring role for metabolism in cells

Based on recent findings indicating that metabolism might be governed by a limit on the rate at which cells can dissipate Gibbs energy, in this Perspective, we propose a new mechanism of how metabolic activity could globally regulate biomolecular processes in a cell. Specifically, we postulate that Gibbs energy released in metabolic reactions is used to perform work, allowing enzymes to self‐propel or to break free from supramolecular structures. This catalysis‐induced enzyme movement will result in increased intracellular motion, which in turn can compromise biomolecular functions. Once the increased intracellular motion has a detrimental effect on regulatory mechanisms, this will establish a feedback mechanism on metabolic activity, and result in the observed thermodynamic limit. While this proposed explanation for the identified upper rate limit on cellular Gibbs energy dissipation rate awaits experimental validation, it offers an intriguing perspective of how metabolic activity can globally affect biomolecular functions and will hopefully spark new research.