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Biomedical subjects

John Yin

Publications and source records attributed to John Yin.

17 recordsLinked to original sources

Dynamic tradeoffs in the raft-mediated entry of human immunodeficiency virus type 1 into cells.

To initiate an infection human immunodeficiency virus type 1 (HIV-1) particles must first bind to receptors on the surface of their host cells, a process that eventually leads to fusion of viral and cellular membranes and release of the viral genome into the cytoplasm. Understanding the molecular mechanisms of these processes may enable the development of new anti-HIV strategies. Disagreement currently prevails on the role in virus entry of microdomains within the cellular plasma membrane known as lipid rafts. Experiments have suggested that lipid rafts, in their interactions with cellular receptors and viral particles, either promote or have minimal effect on viral entry. Here we develop a dynamic model for HIV-1 entry that enables us to identify and quantitatively assess tradeoffs that can arise from the clustering of receptors in rafts. Specifically, receptor clustering can be detrimental to the initiation of viral infection by reducing the probability that a virus particle finds its primary receptor, CD4. However, receptor clustering can also enable a virus particle, once bound, to rapidly form multivalent interactions with receptors and co-receptors that are required for virus-cell membrane fusion. We show how the resolution of such tradeoffs hinges on the level and spatial distribution of receptors and co-receptors on the cell surface, and we discuss implications of these effects for the design of therapeutics that inhibit HIV-1 entry.

CD4 Antigens↗

In silico mutagenesis of RNA splicing in HIV-1.

Human immunodeficiency virus type-1 (HIV-1) relies on both partial and complete splicing of its full-length RNA transcripts to generate a distribution of essential spliced mRNA products. The complexity of the splicing process, which can employ multiple alternative splice sites, challenges our ability to understand how mutations in splice sites may influence the composition of the resulting mRNA pool and, more broadly, the development of viral progeny. Here, we begin to systematically address these issues by developing a mechanistic mathematical model for the splicing process. We identify as key parameters the probabilities that the cellular splice machinery selects specific splice acceptors, and we show how the splicing process depends on these probabilities. Further, by incorporating this splicing model into a detailed kinetic model for HIV-1 intracellular development we find that an increase in the fraction of either rev or tat mRNA in the HIV-1 mRNA pool is generally beneficial for HIV-1 growth. However, a splice site mutation that excessively increases the fraction of either mRNA can be detrimental due to the corresponding reduction in the other mRNA, suggesting that a balance of Rev and Tat is needed in order for HIV-1 to optimize its growth. Although our model is based on still very limited quantitative data on RNA splicing, Rev-mediated splicing regulation and nuclear export, and the effects of associated mutations, it serves as a starting point for better understanding how variations in essential post-transcriptional functions can impact the intracellular development of HIV-1.

Computational Biology↗

Formation of peptides in the dry state.

Although many potential pathways exist for the prebiotic condensation of amino acids to form simple peptides, minimal conditions for such a reaction in the dry state have yet to be defined. In this work, water was evaporated from a solution of alanine and copper chloride (CuCl2), creating a dry residue. Incubation of this residue at moderate temperatures over 25 days produced even greater amounts of di-alanine, as determined by high performance liquid chromatographic characterization of the re-dissolved residue. Copper(II) and chloride were required for the reaction and di-peptide yields were highest for 1:2 molar ratios of copper:alanine. These results define minimal conditions for a dry-state pathway that plausibly played a role in the prebiotic formation of simple peptides.

Alanine↗

Robust growth of human immunodeficiency virus type 1 (HIV-1).

The persistence of human immunodeficiency virus type-1 (HIV-1) has long been attributed to its high mutation rate and the capacity of its resulting heterogeneous virus populations to evade host immune responses and antiviral drugs. However, this view is incomplete because it does not explain how the virus persists in light of the adverse effects mutations in the viral genome and variations in host functions can potentially have on viral functions and growth. Here we show that the resilience of HIV-1 can be credited, at least in part, to a robust response to perturbations that emerges as an intrinsic property of its intracellular development. Specifically, robustness in HIV-1 arises through the coupling of two feedback loops: a Rev-mediated negative feedback and a Tat-mediated positive feedback. By employing a mechanistic kinetic model for its growth we found that HIV-1 buffers the effects of many potentially detrimental variations in essential viral and cellular functions, including the binding of Rev to mRNA; the level of rev mRNA in the pool of fully spliced mRNA; the splicing of mRNA; the Rev-mediated nuclear export of incompletely-spliced mRNAs; and the nuclear import of Tat and Rev. The virus did not, however, perform robustly to perturbations in all functions. Notably, HIV-1 tended to amplify rather than buffer adverse effects of variations in the interaction of Tat with viral mRNA. This result shows how targeting therapeutics against molecular components of the viral positive-feedback loop open new possibilities and potential in the effective treatment of HIV-1.

Cell Proliferation↗

Fidelity of micropatterned cell cultures.

Methods that enable the culture of micropatterned cells may help advance our fundamental understanding of cell-cell and cell-surface interactions, while facilitating the development and implementation of cell-based biological assays. However, the long-term stability of the cell patterns can limit the time scales over which such methods can be informative. Here we used self-assembling monolayers (SAMs) to localize the adsorption of baby hamster kidney (BHK-21) cells as well as cells from a murine astrocytoma-derived cell line (delayed brain tumor) in linear arrays. We tested the effects of surface chemistries, fibronectin pre-treatments, array dimensions, and cell types on pattern fidelity. Changes in patterns were monitored by phase-contrast microscopy up to 96 h post-plating, followed by digital imaging, and these changes were quantified by measuring an "intrusion distance" or the average distance cells extend beyond the initial adhesive/non-adhesive boundary. Loss of pattern boundaries involved different mechanisms for different cells. Treatment of patterned surfaces with fibronectin prior to plating of cells tended to promote earlier loss of pattern fidelity, and the extent of pattern loss was further augmented for SAMs formed using hydrophobic monolayers. Finally, reduction of gap spacing between adjacent cell arrays promoted pattern loss.

Adsorption↗

Arrested spread of vesicular stomatitis virus infections in vitro depends on interferon-mediated antiviral activity.

A quantitative understanding of the innate immune response will enable its recruitment against emerging, poorly characterized, or weaponized viral pathogens. To gain insights into how the innate responses can limit viral spread, we used quantitative focal infections to study how the spread of recombinant vesicular stomatitis viruses (VSV) on baby hamster kidney (BHK) and delayed brain tumor (DBT) cell monolayers is affected by innate cellular antiviral responses. We observed that rates of infection spread correlated with one-step growth rankings for four ectopic VSV strains: N1, N2, N3, and N4. However, this correlation was lost for M51R, a recombinant VSV mutant that lacks the ability to shut-off host gene expression. In BHK cells, M51R spread at two-thirds the rate of the recombinant control virus, XK3.1, even though their one-step growth was comparable. In DBT cells, M51R infections failed to spread beyond the site of inoculation. Addition of anti-interferon antibody restored M51R spread and one-step growth to wild-type levels. Interestingly, the antibody enhanced the spread of wild-type virus but not its growth. These results suggest that while the rate of viral spread generally correlates with the rate of viral growth, the induction of cellular antiviral activities can be in some cases, the overriding factor in both spread and growth. In summary, focal infections enabled us to visualize and quantify how viral spread was inhibited by cellular antiviral activities. This study demonstrates a mechanism for quantifying how innate cellular responses can mitigate infection spread in vitro.

Animals↗

Localization of receptors in lipid rafts can inhibit signal transduction.

Processes of cell survival, division, differentiation, and death are guided by the binding of signal molecules to receptors, which activates intracellular signaling networks and ultimately elicits genetic, biochemical, or biomechanical responses within the cell. While intracellular mechanisms for these processes have been well studied, little attention has been given to the role extracellular ligand transport and binding may play in signal initiation. Recent studies have found that the localization of receptors in lipid rafts is critical for the functions of many signaling pathways. By concentrating membrane components, rafts may promote essential interactions for signaling. Lipid rafts can also have negative effects on signaling, but mechanisms remain elusive. We propose that raft-mediated receptor clustering can reduce signaling by prolonging the diffusion of ligands to their receptors. We quantify this effect using a simple diffusion-limited binding model that accounts for the spatial distribution of lipid rafts and receptors on the cell surface. We find that receptor clustering can reduce the apparent rate of receptor binding by up to 80%, consistent with observed increases in epidermal growth factor (EGF) binding by up to 100% following disruption of lipid rafts (Pike and Casey 2002 Biochemistry 41:10315-10322; Roepstorff et al. 2002 J Biol Chem 277:18954-18960). Failure to account for the effects of receptor clustering on rates of ligand binding can skew the interpretation of current methods of cancer diagnosis and treatment. Finally, we discuss how the activation of particular signaling pathways can change over time, depending, in part, on the overall level and spatial distribution of the receptors.

Absorption↗

Energy-efficient growth of phage Q Beta in Escherichia coli.

The role of natural selection in the optimal design of organisms is controversial. Optimal forms, functions, or behaviors of organisms have long been claimed without knowledge of how genotype contributes to phenotype, delineation of design constraints, or reference to alternative designs. Moreover, arguments for optimal designs have been often based on models that were difficult, if not impossible, to test. Here, we begin to address these issues by developing and probing a kinetic model for the intracellular growth of bacteriophage Q beta in Escherichia coli. The model accounts for the energetic costs of all template-dependent polymerization reactions, in ATP equivalents, including RNA-dependent RNA elongation by the phage replicase and synthesis of all phage proteins by the translation machinery of the E. coli host cell. We found that translation dominated phage growth, requiring 85% of the total energy expenditure. Only 10% of the total energy was applied to activities other than the direct synthesis of progeny phage components, reflecting primarily the cost of making the negative-strand RNA template that is needed for replication of phage genomic RNA. Further, we defined an energy efficiency of phage growth and showed its direct relationship to the yield of phage progeny. Finally, we performed a sensitivity analysis and found that the growth of wild-type phage was optimized for progeny yield or energy efficiency, suggesting that phage Q beta has evolved to optimally utilize the finite resources of its host cells.

Coliphages↗

Effects of lipid rafts on dynamics of retroviral entry and trafficking: Quantitative analysis.

The association of cell surface receptors with sterol-sphingolipid-enriched microdomains of the plasma membrane, so-called lipid rafts, may affect the receptor-mediated entry and trafficking dynamics of viruses. A model retrovirus, subgroup A avian sarcoma and leukosis virus (ASLV-A), can initiate infection by binding to either of two forms of the tumor virus subgroup A (TVA) receptor, a lipid-raft-associated glycosylphosphatidylinositol (GPI)-anchored receptor (TVA800) or a transmembrane receptor (TVA950). Narayan et al. previously found that virus particles bound to TVA950 were more rapidly internalized than virions bound to TVA800, and the internalization via TVA950 exhibited biphasic kinetics. To explore potential molecular mechanisms for these results we developed a mathematical model that accounts for internalization of viruses through cellular pits, trafficking to an endosomal compartment where fusion occurs, and viral DNA synthesis. By fitting the model to experimental data we found that viruses bound to TVA950 were internalized up to 2.6-fold more rapidly than viruses bound to TVA800. Two- to threefold greater lateral diffusivities of transmembrane proteins, relative to GPI-anchored proteins, observed in other systems, suggest that the internalization rate of ASLV-A is diffusion-limited. Furthermore, by allowing for recycling of internalized TVA950-bound viruses back to the cell surface, we can account for the observed biphasic internalization kinetics. This mechanism is also consistent with the observed slower rate of DNA synthesis for viruses that enter via TVA950. Overall, the model provides a means to generate new experimentally testable hypotheses and sets a foundation for building a quantitative and integrated understanding of viral entry, trafficking, and intracellular dynamics.

Animals↗

Genome function--a virus-world view.

By studying viruses one may begin to understand how static genomes can define dynamic processes of development. This talk will describe some of the approaches we are taking, using computer simulations and laboratory experiments, to account for the many molecular-level processes and interactions that occur when a common bacterium, E. coli, is infected by one of its viruses, phage T7. We accounted for processes of phage genome entry, transcription, translation, and DNA replication, including protein-DNA and protein-protein regulatory interactions, and we predicted the dynamics of phage progeny formation. The simulations have enabled us to identify limiting host-cell resources in phage growth, discover novel anti-viral strategies, and suggest frameworks for mining data from global mRNA and protein studies.

Bacteriophage T7↗

Quantitative analysis of a parasitic antiviral strategy.

We extended a computer simulation of viral intracellular growth to study a parasitic antiviral strategy that diverts the viral replicase toward parasite growth. This strategy inhibited virus growth over a wide range of conditions, while minimizing host cell perturbations. Such parasitic strategies may inhibit the development of drug-resistant virus strains.

Allolevivirus↗

Propagation of viruses on micropatterned host cells.

We have developed a technique to characterize the in vitro propagation of viruses. Microcontact printing was used to generate linear arrays of alkanethiols on gold surfaces, which served as substrates for the patterned culture of baby hamster kidney (BHK-21) cells. Vesicular stomatitis virus (VSV) was added to unpatterned cell reservoirs adjacent to the patterned cells and incubated, setting in motion a continuously advancing viral infection into the patterned cells. At different incubation times, multiple arrays were chemically fixed to stop the viral propagation. Viral propagation distances into the patterned cells were determined by indirect immunofluorescent labeling and visualization of the VSV surface glycoprotein (G). The infection spread at approximately 50 microm/h in the 140-microm lines. Moreover, different temporal stages of the infection process were simultaneously visualized along individual lines. These stages included initiation of infection, based on G protein expression; cell-cell fusion, based on virus-induced clustering of cell nuclei; and cytoskeletal degradation, based on localized release of cells from the surface. This work sets a foundation for parallel, high-throughput characterization of viral and cellular processes.

Animals↗

Modeling biological systems using Dynetica--a simulator of dynamic networks.

UNLABELLED: We present Dynetica, a user-friendly simulator of dynamic networks for constructing, visualizing, and analyzing kinetic models of biological systems. In addition to generic reaction networks, Dynetica facilitates construction of models of genetic networks, where many reactions are gene expression and interactions among gene products. Further, it integrates the capability of conducting both deterministic and stochastic simulations. AVAILABILITY AND SUPPLEMENTARY INFORMATION: Dynetica 1.0, example models, and the user's guide are available at http://www.its.caltech.edu/~you/Dynetica/Dynetica_page.htm

Algorithms↗

The toxicity and efficacy of donor lymphocyte infusions given after reduced-intensity conditioning allogeneic stem cell transplantation.

We describe the toxicity and efficacy of donor lymphocyte infusions (DLIs) given to 81 patients (median age, 50 years) after reduced-intensity conditioning (RIC) transplantations performed at 16 centers in the United Kingdom. The diseases treated included non-Hodgkin lymphoma (NHL; n = 29), chronic myeloid leukemia (CML; n = 12), myeloma (n = 11), acute myeloid leukemia (AML; n = 10), and chronic lymphocytic leukemia (CLL; n = 9). Eighty-eight percent received stem cells from sibling donors. The patients received 130 infusions (median, 1; range, 1-4). Indications for DLI were unsatisfactory response/disease progression in 51 patients, mixed chimerism in 18, preemptive in 10, and other in 2. Graft hypoplasia was uncommon (11%). Grade II to IV graft-versus-host disease (GVHD) occurred in 23 of 81 patients (28%) and limited and extensive chronic GVHD in 5 of 69 and 18 of 69 evaluable patients (total incidence 33%). Conversion from mixed to full donor chimerism occurred in 19 of 55 evaluable patients (35%) at a median of 48 days after the DLI; partial responses occurred in 6 patients (total response rate 45%). Eighteen of 51 (35%) patients with measurable disease after stem cell transplantation had a complete response (2 molecular), and 5 a partial response (total response rate 45%). Eleven of 17 evaluable complete responders had full donor chimerism. Eight of 13 patients with follicular NHL had complete responses as did 4 of 12 patients with CML. Clinical and chimeric responses correlated strongly with acute and chronic GVHD. Forty-seven patients (58%) survive at a median of 508 days after transplantation (range, 155-1171 days) with a median Karnofsky score of 90. Thirty-four patients (42%) died at a median of 211 days after transplantation with the major causes being progressive disease (26%) and GVHD (9%). Further systematic studies are required to determine the efficacy and optimum use of DLI for patients with each disease treated by nonmyeloablative stem cell transplantation.

Adult↗

Dependence of epistasis on environment and mutation severity as revealed by in silico mutagenesis of phage t7.

Understanding how interactions among deleterious mutations affect fitness may shed light on a variety of fundamental biological phenomena, including the evolution of sex, the buffering of genetic variations, and the topography of fitness landscapes. It remains an open question under what conditions and to what extent such interactions may be synergistic or antagonistic. To address this question, we employed a computer model for the intracellular growth of bacteriophage T7. We created in silico 90,000 mutants of phage T7, each carrying from 1 to 30 mutations, and evaluated the fitness of each by simulating its growth cycle. The simulations sought to account for the severity of single deleterious mutations on T7 growth, as well as the effect of the resource environment on our fitness measures. We found that mildly deleterious mutations interacted synergistically in poor-resource environments but antagonistically in rich-resource environments. However, severely deleterious mutations always interacted antagonistically, irrespective of environment. These results suggest that synergistic epistasis may be difficult to experimentally distinguish from nonepistasis because its effects appear to be most pronounced when the effects of mutations on fitness are most challenging to measure. Our approach demonstrates how computer simulations of developmental processes can be used to quantitatively study genetic interactions at the population level.

Bacteriophage T7↗

Effects of Escherichia coli physiology on growth of phage T7 in vivo and in silico.

Phage development depends not only upon phage functions but also on the physiological state of the host, characterized by levels and activities of host cellular functions. We established Escherichia coli at different physiological states by continuous culture under different dilution rates and then measured its production of phage T7 during a single cycle of infection. We found that the intracellular eclipse time decreased and the rise rate increased as the growth rate of the host increased. To develop mechanistic insight, we extended a computer simulation for the growth of phage T7 to account for the physiology of its host. Literature data were used to establish mathematical correlations between host resources and the host growth rate; host resources included the amount of genomic DNA, pool sizes and elongation rates of RNA polymerases and ribosomes, pool sizes of amino acids and nucleoside triphosphates, and the cell volume. The in silico (simulated) dependence of the phage intracellular rise rate on the host growth rate gave quantitatively good agreement with our in vivo results, increasing fivefold for a 2.4-fold increase in host doublings per hour, and the simulated dependence of eclipse time on growth rate agreed qualitatively, deviating by a fixed delay. When the simulation was used to numerically uncouple host resources from the host growth rate, phage growth was found to be most sensitive to the host translation machinery, specifically, the level and elongation rate of the ribosomes. Finally, the simulation was used to follow how bottlenecks to phage growth shift in response to variations in host or phage functions.

Bacteriophage T7↗

Thermostability of reovirus disassembly intermediates (ISVPs) correlates with genetic, biochemical, and thermodynamic properties of major surface protein mu1.

Kinetic analyses of infectivity loss during thermal inactivation of reovirus particles revealed substantial differences between virions and infectious subvirion particles (ISVPs), as well as between the ISVPs of reoviruses type 1 Lang (T1L) and type 3 Dearing (T3D). The difference in thermal inactivation of T1L and T3D ISVPs was attributed to the major surface protein mu1 by genetic analyses with reassortant viruses and recoated cores. Irreversible conformational changes in ISVP-bound mu1 were shown to accompany thermal inactivation. The thermal inactivation of ISVPs approximated first-order kinetics over a range of temperatures, permitting the use of Arrhenius plots to estimate activation enthalpies and entropies that account for the different behaviors of T1L and T3D. An effect similar to enthalpy-entropy compensation was additionally noted for the ISVPs of these two isolates. Kinetic analyses with other ISVP-like particles, including ISVPs of a previously reported thermostable mutant, provided further insights into the role of mu1 as a determinant of thermostability. Intact virions, which contain final sigma3 bound to mu1 as their major surface proteins, exhibited greater thermostability than ISVPs and underwent thermal inactivation with kinetics that deviated from first order, suggesting a role for final sigma3 in both these properties. The distinct inactivation behaviors of ISVPs are consistent with their role as an essential intermediate in reovirus entry.

Animals↗