1,672 research outputs found

    Single Molecule FRET Studies of DNA Hairpin Folding

    Get PDF

    A Direct Interaction between IP3 Receptors and Myosin II Regulates IP3 Signaling in C. elegans

    Get PDF
    AbstractMolecular and physiological studies of cells implicate interactions between the cytoskeleton and the intracellular calcium signalling machinery as an important mechanism for the regulation of calcium signalling [1–11]. However, little is known about the functions of such mechanisms in animals. A key component of the calcium signalling network is the intracellular release of calcium in response to the production of the second messenger inositol 1,4,5-trisphosphate (IP3), mediated by the IP3 receptor (IP3R) [12–14]. We show that C. elegans IP3Rs, encoded by the gene itr-1, interact directly with myosin II. The interactions between two myosin proteins, UNC-54 and MYO-1, and ITR-1 were identified in a yeast two-hybrid screen and subsequently confirmed in vivo and in vitro. We defined the interaction sites on both the IP3R and MYO-1. To test the effect of disrupting the interaction in vivo we overexpressed interacting fragments of both proteins in C. elegans. This decreased the animal's ability to upregulate pharyngeal pumping in response to food. This is a known IP3-mediated process [15]. Other IP3-mediated processes, e.g., defecation [16], were unaffected. Thus it appears that interactions between IP3Rs and myosin are required for maintaining the specificity of IP3 signalling in C. elegans and probably more generally

    UTILIZATION OF SPECTRAL VELOCITY OF FLEXURAL WAVES TO DETECT LOOSE SLEEPERS

    Get PDF
    The identification of a loose sleeper is important for the operation and safety of a railway system because the excessive movement of a loose railway sleeper can cause derailment and passenger discomfort. There are available methods on how to detect a loose sleeper, such as: 1) a method using a conventional approach based on human judgement and experience, which is not advisable if the researcher is a beginner; 2) Fixed Post method, wherein a fixed post with displacement sensor is installed in a ballast, which is not reliable because vibration of a sleeper during train passage might affect the results from this test; and 3) Non-Destructive Testing (NDT) methods, which include the use of Light Falling Weight Deflectometer (LFWD) and line scan camera, both of which are, however, expensive to use for a routine testing technique. In this paper, Finite Element Analysis (FEA) was performed to set the criteria for the loose sleepers. Impulse Response (IR) Method was used on an actual site. The spectral velocity of flexural waves and mobility function from the impulse response test were proposed to investigate the quality of a railway sleeper

    Subspace methods for electronic structure simulations on quantum computers

    Full text link
    Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrodinger equation for a quantum system is projected onto a subspace of the underlying Hilbert space. This projection transforms the Schrodinger equation into an eigenvalue problem determined by measurements carried out on a quantum device. The eigenvalue problem is then solved on a classical computer, yielding approximations to ground- and excited-state energies and wavefunctions. QSMs are examples of hybrid quantum-classical methods, where a quantum device supported by classical computational resources is employed to tackle a problem. QSMs are rapidly gaining traction as a strategy to simulate electronic wavefunctions on quantum computers, and thus their design, development, and application is a key research field at the interface between quantum computation and electronic structure. In this review, we provide a self-contained introduction to QSMs, with emphasis on their application to the electronic structure of molecules. We present the theoretical foundations and applications of QSMs, and we discuss their implementation on quantum hardware, illustrating the impact of noise on their performance.Comment: 34 pages, 11 figure

    Vorinostat Renders the Replication-Competent Latent Reservoir of Human Immunodeficiency Virus (HIV) Vulnerable to Clearance by CD8 T Cells

    Get PDF
    Latently human immunodeficiency virus (HIV)-infected cells are transcriptionally quiescent and invisible to clearance by the immune system. To demonstrate that the latency reversing agent vorinostat (VOR) induces a window of vulnerability in the latent HIV reservoir, defined as the triggering of viral antigen production sufficient in quantity and duration to allow for recognition and clearance of persisting infection, we developed a latency clearance assay (LCA). The LCA is a quantitative viral outgrowth assay (QVOA) that includes the addition of immune effectors capable of clearing cells expressing viral antigen. Here we show a reduction in the recovery of replication-competent virus from VOR exposed resting CD4 T cells following addition of immune effectors for a discrete period. TAKE HOME MESSAGE: VOR exposure leads to sufficient production of viral protein on the cell surface, creating a window of vulnerability within this latent reservoir in antiretroviral therapy (ART)-suppressed HIV-infected individuals that allows the clearance of latently infected cells by an array of effector mechanisms

    High-resolution temporal profiling of transcripts during Arabidopsis leaf senescence reveals a distinct chronology of processes and regulation

    Get PDF
    Leaf senescence is an essential developmental process that impacts dramatically on crop yields and involves altered regulation of thousands of genes and many metabolic and signaling pathways, resulting in major changes in the leaf. The regulation of senescence is complex, and although senescence regulatory genes have been characterized, there is little information on how these function in the global control of the process. We used microarray analysis to obtain a highresolution time-course profile of gene expression during development of a single leaf over a 3-week period to senescence. A complex experimental design approach and a combination of methods were used to extract high-quality replicated data and to identify differentially expressed genes. The multiple time points enable the use of highly informative clustering to reveal distinct time points at which signaling and metabolic pathways change. Analysis of motif enrichment, as well as comparison of transcription factor (TF) families showing altered expression over the time course, identify clear groups of TFs active at different stages of leaf development and senescence. These data enable connection of metabolic processes, signaling pathways, and specific TF activity, which will underpin the development of network models to elucidate the process of senescence
    corecore