Using inducible vectors to study intracellular trafficking of GFP-tagged steroid/nuclear receptors in living cells

Intracellular trafficking and localization of proteins can now be efficiently visualized by fusion of a polypeptide to the green fluorescent protein (GFP). Many spectral variants of this reagent are now available, providing powerful tools for studies in living cells. This approach is particularly useful for members of the steroid/nuclear receptor superfamily, since these molecules frequently undergo rapid subcellular redistribution on ligand activation. A major roadblock in the application of this technology concerns problems associated with transient transfections. This technique produces cell populations that are highly heterogeneous with respect to the newly introduced protein and usually contain the protein in a highly overexpressed state. In addition, long-term studies related to cell cycle and cellular differentiation are essentially impossible with this approach. These problems can be overcome by introduction of the GFP fusion into cells under appropriate induction control. We describe application of the tetracycline regulatory system to inducible control of a glucocorticoid receptor (GR)/GFP chimera. Intracellular concentrations of GFP-GR can be very effectively controlled in this system, providing an ideal environment in which to study subcellular trafficking of the receptor and interactions with a variety of intracellular targets.     

Multiple-color fluorescence imaging of chromosomes and microtubules in living cells

Microscopic observation of fluorescently-stained intracellular molecules within a living cell provides a straightforward approach to understanding their temporal and spatial relationships. However, exposure to the excitation light used to visualize these fluorescently-stained molecules can be toxic to the cells. Here we describe several important considerations in microscope instrumentation and experimental conditions for avoiding the toxicity associated with observing living fluorescently-stained cells. Using a computer-controlled fluorescence microscope system designed for live observation, we recorded time-lapse, multi-color images of chromosomes and microtubules in living human and fission yeast cells. In HeLa cells, a human cell line, microtubules were stained with rhodamine-conjugated tubulin, and chromosomes were stained with a DNA-specific fluorescent dye, Hoechst33342, or with rhodamine-conjugated histone. In fission yeast cells, microtubules were stained with alpha-tubulin fused with the jellyfish green fluorescent protein (GFP), and chromosomes were stained with Hoechst33342.     

Stochastic signal inputs for chemotactic response in Dictyostelium cells revealed by single molecule imaging techniques

Chemotactic cells can exhibit extreme sensitivity to chemical gradients. Theoretical estimations of the signal inputs required for chemotaxis suggest that the response can be achieved under the strong influence of stochastic input noise generated by the receptors during the transmembrane signaling. This arises a fundamental question regarding the mechanisms for directional sensing: how do cells obtain reliable information regarding gradient direction by using stochastically operating receptors and the downstream molecules? To address this question, we have developed single molecule imaging techniques to visualize signaling molecules responsible for chemotaxis in living Dictyostelium cells, allowing us to monitor the stochastic signaling processes directly. Single molecule imaging of a chemoattractant bound to a receptor demonstrates that signal inputs fluctuate with time and space. Downstream signaling molecules, such as PTEN and a PH domain-containing protein that are constituent parts of chemotactic signaling system, can also be followed at single molecule level in living cells, illuminating the stochastic nature of chemotactic signaling processes. In this report, we start with a brief introduction of chemotactic response of the eukaryotic cells, followed by an explanation for single molecule imaging techniques, and finally discuss these applications to chemotactic signaling system of Dictyostelium cells.     

Midblastula transition (MBT) of the cell cycles in the yolk and pigment granule-free translucent blastomeres obtained from centrifuged Xenopus embryos

We obtained translucent blastomeres free of yolk and pigment granules from Xenopus embryos which had been centrifuged at the beginning of the 8-cell stage with cellular integrity. They divided synchronously regardless of their cell size until they had decreased to 37.5 microm in radius; those smaller than this critical size, however, divided asynchronously with cell cycle times inversely proportional to the square of the cell radius after midblastula transition (MBT). The length of the S phase was determined as the time during which nuclear DNA fluorescence increased in Hoechst-stained blastomeres. When the cell cycle time exceeded 45 min, S and M phases were lengthened; when the cell cycle times exceeded 70 min, the G2 phase appeared; and after cell cycle times became longer than 150 min, the G1 phase appeared. Lengths of G1, S and M phases increased linearly with increasing cell cycle time. Enhanced green fluorescent protein (EGFP)-tagged proliferating cell nuclear antigen (PCNA) expressed in the blastomeres appeared in the S phase nucleus, but suddenly dispersed into the cytoplasm at the M phase. The system developed in this study is useful for examining the cell cycle behavior of the cell cycle-regulating molecules in living Xenopus blastomeres by fluorescence microscopy in real time.     

Organizational invariance in (M,R)-systems

Robert Rosen's concept of (M,R)-systems was a fundamental advance in our understanding of the essential nature of a living organism as a self-organizing system, one that is closed to efficient causation, synthesizing, and maintaining all of the catalysts necessary for sustained operation during the whole period of its lifetime. Although it is not difficult to construct a model metabolic system to represent an (M,R)-system, such a model system will typically appear to lack organizational invariance, an essential property of a living (M,R)-system. To have this property, an (M,R)-system must not only be closed to external causation, it must also have its organization coded within itself, i.e., the knowledge of which components are needed for which functions must not be defined externally. In this paper, we discuss how organizational invariance may be achieved, and we argue that the apparent failure of previous models to be organizationally invariant is an artifact of the usual practice of treating catalytic cycles as 'black boxes'. If all of the steps in such a cycle are written as uncatalyzed chemical reactions, then it becomes clear that the organization of the system is fully defined by the chemical properties of the molecules that compose it.     

Visualizing RNA splicing in vivo

Ribozymes are RNA molecules capable of associating with other RNA molecules through base-pairing and catalyzing various reactions involving phosphate group transfer. Of particular interest to us is the well known ribozyme from Tetrahymena thermophila capable of catalyzing RNA splicing in eukaryotic systems, chiefly because of its potential use as a gene therapy agent. In this article we review the progress made towards visualizing the RNA splicing mediated by the Tetrahymena ribozyme in single living mammalian cells with the beta-lactamase reporter system and highlight the development made in imaging RNA splicing with the luciferase reporter system in living animals.     

Stochastic models for circadian rhythms: effect of molecular noise on periodic and chaotic behaviour

Circadian rhythms are endogenous oscillations that occur with a period close to 24 h in nearly all living organisms. These rhythms originate from the negative autoregulation of gene expression. Deterministic models based on such genetic regulatory processes account for the occurrence of circadian rhythms in constant environmental conditions (e.g., constant darkness), for entrainment of these rhythms by light-dark cycles, and for their phase-shifting by light pulses. When the numbers of protein and mRNA molecules involved in the oscillations are small, as may occur in cellular conditions, it becomes necessary to resort to stochastic simulations to assess the influence of molecular noise on circadian oscillations. We address the effect of molecular noise by considering the stochastic version of a deterministic model previously proposed for circadian oscillations of the PER and TIM proteins and their mRNAs in Drosophila. The model is based on repression of the per and tim genes by a complex between the PER and TIM proteins. Numerical simulations of the stochastic version of the model are performed by means of the Gillespie method. The predictions of the stochastic approach compare well with those of the deterministic model with respect both to sustained oscillations of the limit cycle type and to the influence of the proximity from a bifurcation point beyond which the system evolves to stable steady state. Stochastic simulations indicate that robust circadian oscillations can emerge at the cellular level even when the maximum numbers of mRNA and protein molecules involved in the oscillations are of the order of only a few tens or hundreds. The stochastic model also reproduces the evolution to a strange attractor in conditions where the deterministic PER-TIM model admits chaotic behaviour. The difference between periodic oscillations of the limit cycle type and aperiodic oscillations (i.e. chaos) persists in the presence of molecular noise, as shown by means of Poincaré sections. The progressive obliteration of periodicity observed as the number of molecules decreases can thus be distinguished from the aperiodicity originating from chaotic dynamics. As long as the numbers of molecules involved in the oscillations remain sufficiently large (of the order of a few tens or hundreds, or more), stochastic models therefore provide good agreement with the predictions of the deterministic model for circadian rhythms.     

Of truth and pathways: chasing bits of information through myriads of articles

Knowledge on interactions between molecules in living cells is indispensable for theoretical analysis and practical applications in modern genomics and molecular biology. Building such networks relies on the assumption that the correct molecular interactions are known or can be identified by reading a few research articles. However, this assumption does not necessarily hold, as truth is rather an emerging property based on many potentially conflicting facts. This paper explores the processes of knowledge generation and publishing in the molecular biology literature using modelling and analysis of real molecular interaction data. The data analysed in this article were automatically extracted from 50000 research articles in molecular biology using a computer system called GeneWays containing a natural language processing module. The paper indicates that truthfulness of statements is associated in the minds of scientists with the relative importance (connectedness) of substances under study, revealing a potential selection bias in the reporting of research results. Aiming at understanding the statistical properties of the life cycle of biological facts reported in research articles, we formulate a stochastic model describing generation and propagation of knowledge about molecular interactions through scientific publications. We hope that in the future such a model can be useful for automatically producing consensus views of molecular interaction data.     

Spatial mutation of the T cell immunological synapse

The hardware for intracellular signaling networks consists of cascades of chemical reactions. It is becoming increasingly apparent that the large-scale spatial organization of molecules in these networks can lead to differential outcomes from otherwise chemically equivalent systems. This has amplified interest in controlled spatial organization as a regulator of cellular signal transduction. In response, a new category of experimentation is developing, in which the spatial positions of signaling molecules in living cells are directly manipulated through mechanical means. These methodologies complement conventional genetic and pharmacological approaches, both of which are chemical in nature, by perturbing the system through exclusively physical mechanisms.     

Origins for Everyone

The origin of life on Earth remains a mystery, but the question can still be approached with scientific rigor. Identifying life??s origins requires the definition of life itself, which has been described as a self-sustaining system capable of Darwinian evolution, although it's also possible that there is no good scientific definition. All known living systems contain linear strings of information based on DNA, a molecule that makes Darwinian evolution possible through replication and mutation. This review explains the scientific concepts and issues underlying the origin of life, possible mechanisms of origins, and the features of living systems that can arguably be viewed as an inevitable consequence of the earliest molecules.     

Nonentrained circadian rhythms of melatonin in submariners scheduled to an 18-hour day.

The human circadian timing system has previously been shown to free run with a period slightly longer than 24 h in subjects living in the laboratory under conditions of forced desynchrony. In forced desynchrony, subjects are shielded from bright light and periodic time cues and are required to live on a day length outside the range of circadian entrainment. The work schedule used for most personnel aboard American submarines is 6 h on duty alternating with 12 h off duty. This imposed 18-h cycle is too short for human circadian synchronization, especially given that there is no bright-light exposure aboard submarines. However, crew members are exposed to 24-h stimuli that could mediate synchronization, such as clocks and social contacts with personnel who are living on a 24-h schedule. The authors investigated circadian rhythms of salivary melatonin in 20 crew members during a prolonged voyage on a Trident nuclear submarine. The authors found that in crew members living on the 18-h duty cycle, the endogenous rhythm of melatonin showed an average period of 24.35 h (n = 12, SD = 0.18 h). These data indicate that social contacts and knowledge of clock time are insufficient for entrainment to a 24-h period in personnel living by an 18-h rest-activity cycle aboard a submarine.     

The lytic cycle of Epstein-Barr virus is associated with decreased expression of cell surface major histocompatibility complex class I and class II molecules

Human herpesviruses utilize an impressive range of strategies to evade the immune system during their lytic replicative cycle, including reducing the expression of cell surface major histocompatibility complex (MHC) and immunostimulatory molecules required for recognition and lysis by virus-specific cytotoxic T cells. Study of possible immune evasion strategies by Epstein-Barr virus (EBV) in lytically infected cells has been hampered by the lack of an appropriate permissive culture model. Using two-color immunofluorescence staining of cell surface antigens and EBV-encoded lytic cycle antigens, we examined EBV-transformed B-cell lines in which a small subpopulation of cells had spontaneously entered the lytic cycle. Cells in the lytic cycle showed a four- to fivefold decrease in cell surface expression of MHC class I molecules relative to that in latently infected cells. Expression of MHC class II molecules, CD40, and CD54 was reduced by 40 to 50% on cells in the lytic cycle, while no decrease was observed in cell surface expression of CD19, CD80, and CD86. Downregulation of MHC class I expression was found to be an early-lytic-cycle event, since it was observed when progress through late lytic cycle was blocked by treatment with acyclovir. The immediate-early transactivator of the EBV lytic cycle, BZLF1, did not directly affect expression of MHC class I molecules. However, BZLF1 completely inhibited the upregulation of MHC class I expression mediated by the EBV cell-transforming protein, LMP1. This novel function of BZLF1 elucidates the paradox of how MHC class I expression can be downregulated when LMP1, which upregulates MHC class I expression in latent infection, remains expressed in the lytic cycle.     

Molecular quantification of cell cycle-related gene expression at the protein level

BACKGROUND: Immunofluorescence cytometry of antigen and DNA content provides relative measurements of the cell cycle phase distribution of a specific epitope. Measurement of correlated expression of epitopes on signaling and regulatory proteins will be useful in the study of the complex pathways involved in cell cycle regulation and carcinogenesis. However, to formulate regulatory pathway models, measurements of molecules per cell would be more useful than relative measurements of intensity. Here, we report on a system in which the relationship between molecules and fluorescence is determined for a reference set of cell lines that are then used to directly calculate the number of molecules for unknowns. To demonstrate the process, we calculated the cell cycle phase distribution of SV40 large T antigen (Tag) in the reference cells. METHODS: A set of cell line clones expressing different levels of Tag were isolated. Quantitative Western blots of these cells and purified, recombinant Tag were performed. Cells from the same sample were stained and analyzed by flow cytometry for Tag and DNA. The relationship between molecules and fluorescence was established and calculations were performed for the phase distributions of Tag. RESULTS: The five cell lines had 0.11, 0.27, 1.06, 2.44, and 2.63 x 10(6) molecules of Tag per cell, determined by Western blot. The average coefficient of variation was 10.6%. The relationship of molecules to fluorescence fit a linear equation (r(2) = 0.96) over the range, 0.11 - 2.63 x 10(6) molecules, however, the same equation did not fit the relationship between 0 molecules, defined by isotype staining controls, and the lowest expressing cell line. To calculate the phase distributions of molecules in the lowest cell line, a second linear equation from 0 to 110,000 molecules was used. CONCLUSIONS: This work describes a system where fixed cells expressing various levels of a target antigen quantified by Western blots can be used to standardize flow cytometric measurements of gene expression in absolute terms.     

Reversible whole-organism cell cycle arrest in a living vertebrate

In vivo cell cycle analysis in higher eukaryotes has been limited by the challenge of preserving the integrity of the living organism while visualizing dividing cells. Here, we propose a new model, which uses the unique combination of features of the Japanese medaka in order to visualize and manipulate the cell cycle progression in a live vertebrate. Our stable transgenic histone H2B-GFP medaka line allows fluorescence-based monitoring of the chromosomes. The system has a high specificity, with a strong GFP signal labeling the chromatin architecture. The subcellular resolution ensures detection of both normal and abnormal divisions in live recordings. This translates into the possibility to quantify temporal and spatial aspects of the cell cycle, such as length or nuclear size, as well as to expose drug toxicity at the earliest stage. We also show that acclimation to cold, a prominent feature of the eurytherm medaka, is a valuable natural way of inducing a reversible cell cycle arrest in the entire living organism. Our results suggest that this manipulation can be performed from the early stages of development, has no toxicity and does not alter the cell-cycle profile of the embryo.     

On the origin of DNA genomes: evolution of the division of labor between template and catalyst in model replicator systems

The division of labor between template and catalyst is a fundamental property of all living systems: DNA stores genetic information whereas proteins function as catalysts. The RNA world hypothesis, however, posits that, at the earlier stages of evolution, RNA acted as both template and catalyst. Why would such division of labor evolve in the RNA world? We investigated the evolution of DNA-like molecules, i.e. molecules that can function only as template, in minimal computational models of RNA replicator systems. In the models, RNA can function as both template-directed polymerase and template, whereas DNA can function only as template. Two classes of models were explored. In the surface models, replicators are attached to surfaces with finite diffusion. In the compartment models, replicators are compartmentalized by vesicle-like boundaries. Both models displayed the evolution of DNA and the ensuing division of labor between templates and catalysts. In the surface model, DNA provides the advantage of greater resistance against parasitic templates. However, this advantage is at least partially offset by the disadvantage of slower multiplication due to the increased complexity of the replication cycle. In the compartment model, DNA can significantly delay the intra-compartment evolution of RNA towards catalytic deterioration. These results are explained in terms of the trade-off between template and catalyst that is inherent in RNA-only replication cycles: DNA releases RNA from this trade-off by making it unnecessary for RNA to serve as template and so rendering the system more resistant against evolving parasitism. Our analysis of these simple models suggests that the lack of catalytic activity in DNA by itself can generate a sufficient selective advantage for RNA replicator systems to produce DNA. Given the widespread notion that DNA evolved owing to its superior chemical properties as a template, this study offers a novel insight into the evolutionary origin of DNA.     

Origin of the scaling rule for fundamental living organisms based on thermodynamics

The regular relationships between metabolic energy and body mass M of unicellular organisms, poikilotherms and homeotherms were well known as general equations. The metabolic energy rate and the life span are proportional to M(0.75) and to M(0.25), respectively. As a result, the product of the metabolic energy rate and the life time, namely, life metabolic energy, is proportional to the mass of the living organism. The origin of the scaling rules for environmental organizing systems is as follows: (1) the scaling rules for internal energy, activation energy and free energy as a function of temperature and mass of a mole of molecules. (2) The majority of species of the living organisms have the same molecules such as polysaccharides, lipids, proteins and nucleic acids in nearly same the ratio. (3) The internal energy of reactants in living organisms is equilibrium with the internal energy of water. Then, the integrated metabolic energy over the synthesizing time depends on internal energy of water and is proportional to mass M, despite the synthesizing time of the system depending on reaction rate. The proportional constant is obtained based on the thermodynamics for fundamental living organisms such as unicellular organisms and plants. Information on the environmental organizing system is also discussed.     

pRb and the cdks in apoptosis and the cell cycle

Apoptosis is a fundamental biological process present in metazoan cells. Linking apoptosis to the cell cycle machinery provides a mechanism to maintain proper control of cell proliferation in a multicellular organism. pRb and the cyclin-dependent kinases may have dual roles as integral components of the cell cycle and regulators of apoptosis. In many instances manipulation of the cell cycle through these molecules can induce or inhibit apoptosis. Recent studies also identify pRb as a substrate for an apoptotic protease; however, other cell cycle components are not known substrates. While it is clear that many common molecules can affect cell proliferation and cell death, the universality of any one cell cycle molecule in apoptosis has yet to be determined.     

A general system for evaluating the efficiency of chromophore-assisted light inactivation (CALI) of proteins reveals Ru(II) tris-bipyridyl as an unusually efficient "warhead"

Chromophore-assisted light inactivation (CALI) of proteins is a potentially powerful tool in biological research for the triggered disruption of protein function. It involves the creation of chimeric molecules that can bind specifically to the protein target and can also sensitize the photo-generation of singlet oxygen, which inactivates the target protein. There remains a need for more efficient chromophores for singlet oxygen generation. Here we report a general and convenient system with which to evaluate the efficiency of chromophores in CALI both in crude extracts and in living cells. We employ this system to show that a readily available derivative of ruthenium(II) tris-bipyridyl dication is an unusually efficient "warhead" for CALI, exhibiting a performance markedly superior to the commonly used organic fluorophore, fluorescein.     

Quantitative single-molecule microscopy reveals that CENP-A(Cnp1) deposition occurs during G2 in fission yeast

The inheritance of the histone H3 variant CENP-A in nucleosomes at centromeres following DNA replication is mediated by an epigenetic mechanism. To understand the process of epigenetic inheritance, or propagation of histones and histone variants, as nucleosomes are disassembled and reassembled in living eukaryotic cells, we have explored the feasibility of exploiting photo-activated localization microscopy (PALM). PALM of single molecules in living cells has the potential to reveal new concepts in cell biology, providing insights into stochastic variation in cellular states. However, thus far, its use has been limited to studies in bacteria or to processes occurring near the surface of eukaryotic cells. With PALM, one literally observes and 'counts' individual molecules in cells one-by-one and this allows the recording of images with a resolution higher than that determined by the diffraction of light (the so-called super-resolution microscopy). Here, we investigate the use of different fluorophores and develop procedures to count the centromere-specific histone H3 variant CENP-A(Cnp1) with single-molecule sensitivity in fission yeast (Schizosaccharomyces pombe). The results obtained are validated by and compared with ChIP-seq analyses. Using this approach, CENP-A(Cnp1) levels at fission yeast (S. pombe) centromeres were followed as they change during the cell cycle. Our measurements show that CENP-A(Cnp1) is deposited solely during the G2 phase of the cell cycle.     

Modeling synaptic dynamics driven by receptor lateral diffusion

The synaptic weight between a pre- and a postsynaptic neuron depends in part on the number of postsynaptic receptors. On the surface of neurons, receptors traffic by random motion in and out from a microstructure called the postsynaptic density (PSD). In the PSD, receptors can be stabilized at the membrane when they bind to scaffolding proteins. We propose a mathematical model to compute the postsynaptic counterpart of the synaptic weight based on receptor trafficking. We take into account the receptor fluxes at the PSD, which can be regulated by neuronal activity, and the interactions of receptors with the scaffolding molecules. Using a Markovian approach, we estimate the mean and the fluctuations of the number of bound receptors. When the number of receptors is large, a deterministic system is also derived. Moreover, these equations can be used, for example, to fit fluorescence-recovery-after-photobleaching experiments to determine, in living neurons, the chemical binding constants for the receptors/scaffolding molecules interaction at synapses.