Pages

January 01, 2013

  • Date:23ThursdayNovember 2017

    The past of a quantum particle

    More information
    Time
    11:15 - 12:30
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerLev Vaidman
    TAU
    Organizer
    Faculty of Physics
    Contact
    AbstractShow full text abstract about Textbooks of quantum mechanics lack the concept of the past ...»
    Textbooks of quantum mechanics lack the concept of the past of quantum systems. Few years ago I proposed to define the past of a quantum particle according the trace it leaves. While in many cases this definition provides a reasonable description, for a nested Mach-Zehnder interferometer it leads to a picture seemingly contradicting common sense: the particle leaves a trace in a place through which it could not pass. I will discuss recent theoretical and experimental studies of this controversial issue.
    Colloquia
  • Date:26SundayNovember 2017

    Identification of Druggable and Redox vulnerabilities in a genetically defined cancer

    More information
    Time
    10:00 - 10:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerDr. Liron Bar-Peled
    The Scripps Research Institute, Lallage Feazel Wall Fellow of the Damon Runyon Cancer Research Foundation
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:26SundayNovember 2017

    Terrestrial glints seen from deep space: cloud ice crystals detected from the 1st Lagrangian point

    More information
    Time
    11:00 - 11:00
    Location
    Sussman Family Building for Environmental Sciences
    LecturerAlex Kostinski
    Michigan Tech
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    AbstractShow full text abstract about The deep space climate observatory (DSCOVR) spacecraft resid...»
    The deep space climate observatory (DSCOVR) spacecraft resides at the 1st Lagrangian point about one million miles from Earth, where roughly the solar pull balances the terrestrial one. A polychromatic imaging camera onboard delivers nearly hourly observations of the entire sun-lit face of the Earth. Many images contain surprisingly bright flashes of light over both ocean and land. We construct a yearlong time series of flash latitudes, scattering angles and oxygen absorption to demonstrate that the flashes over land are specular reflections off tiny cloud ice platelets. Such deep space detection of tropospheric ice can be used to constrain the likelihood of oriented crystals and their contribution to Earth albedo. These glints may help detecting starlight glints off faint companions in our search for habitable exoplanets.

    Lecture
  • Date:26SundayNovember 2017

    Molecular Genetics Departmental Seminars 2017-2018

    More information
    Time
    13:15 - 13:15
    Title
    “M1A: A rare mRNA modification impairing translation”
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerModi Safra
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:27MondayNovember 2017

    "Thinking outside the cell: Programmable DNA compartments"

    More information
    Time
    11:00 - 12:15
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. Roy Bar-Ziv
    Dept. of Chemical and Biological Physics, WIS
    Organizer
    Faculty of Chemistry
    Contact
    Colloquia
  • Date:28TuesdayNovember 201730ThursdayNovember 2017

    NMRbox: A workshop on advanced processing in nuclear magnetic resonance

    More information
    Time
    08:00 - 08:00
    Location
    The David Lopatie Conference Centre
    Chairperson
    Lucio Frydman
    Conference
  • Date:28TuesdayNovember 2017

    Insights from deep mutational scanning experiments inform computational protein design

    More information
    Time
    10:00 - 10:30
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerShira Warszawski
    Members - Dept. of Biomolecular Sciences-WIS
    Organizer
    Department of Biomolecular Sciences
    Contact
    AbstractShow full text abstract about Improving the binding affinity of protein-protein interactio...»
    Improving the binding affinity of protein-protein interaction is a major challenge in research, therapeutics and drug development. In antibodies, the process of somatic hypermutation and clonal selection leads the B cells to express high affinity binders. However, an undesirable side-effect is that affinity-enhancing mutations may reduce stability. We used deep mutational scanning to systematically map the mutational tolerance of an antibody variable fragment (Fv), finding that 20% of affinity-enhancing mutations occur at the interface between the light and heavy chains, away from the antigen binding site.
    This interface mediates the interaction between the two chains that form the core of the antibody, and may therefore be responsible for both antibody stability and affinity. From the deep mutational scanning data, we learned general rules for stabilizing and improving the affinity of antibodies. Computational designed variants comprising 5-10 mutations in the light-heavy chain interface improve affinity by as much as an order of magnitude, and also improve thermal stability and aggregation resistance. Laborious cloning, selection, and sequence analysis can thus be averted through fully automated computational affinity and stability design.
    Lecture
  • Date:28TuesdayNovember 2017

    Epigenetics in action: how transcription of mRNAs regulates their translation and stability

    More information
    Time
    10:30 - 11:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerDr. Boris Slobodin
    Members - Dept. of Biomolecular Sciences-WIS
    Organizer
    Department of Biomolecular Sciences
    Contact
    Lecture
  • Date:28TuesdayNovember 2017

    Control over photosynthetic energy transfer by rearrangements of its basic building blocks

    More information
    Time
    11:30 - 11:30
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerProf. Nir Keren
    Dept. of Plant & Environmental Science, The Hebrew University of Jerusalem
    Organizer
    Department of Plant and Environmental Sciences
    Contact
    Lecture
  • Date:28TuesdayNovember 2017

    "Nucleosome mobility and gene expression regulation: insights from single molecule studies"

    More information
    Time
    14:00 - 15:00
    Location
    Helen and Milton A. Kimmelman Building
    LecturerProf. Ariel Kaplan
    Technion
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:28TuesdayNovember 2017

    Jazz Show

    More information
    Time
    16:30 - 16:30
    Location
    Michael Sela Auditorium
    Organizer
    Faculty of Mathematics and Computer Science
    Contact
    Cultural Events
  • Date:29WednesdayNovember 2017

    Population as Distributed Memory System

    More information
    Time
    11:00 - 11:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerDr. Ehud Lamm
    The Cohn Institute for the History and Philosophy of Science and Ideas, Tel Aviv University
    Organizer
    Department of Molecular Genetics
    Contact
    AbstractShow full text abstract about We show how the distribution of skills or phenotypes in a po...»
    We show how the distribution of skills or phenotypes in a population acts as collective memory or "distributed information
    store" serving individual so that individuals with varying innate abilities are able to
    attain the mature fully skilled phenotype. We show how information moves "in" and "out" of genomes, relative to this memory system, elucidating how evolution determines where best to store information. This question applies to understanding diverse biological systems in which individuals acquire capacities from the population, including immunity, the microbiome, and social learning. Using Agent Based Modeling we investigate how properties of the
    population and social aspects of the acquisition process affect the behavior of the system. We show
    that the genetic properties of the population react predictably to changes in population properties that affect selection
    pressures, without any group level selective processes. Specifically, parameter changes that make
    acquisition slower lead to skills becoming increasingly innate while changes in parameters that improve
    the results of acquisition (e.g., making acquisition reliant on abundant left-over tools) lead
    to an increased reliance on acquisition, all while the average phenotype remains constant. The dynamics
    we study contribute to understanding how individuals can evolve to become more or less reliant on
    social learning and cultural information, how this depends on population properties (e.g., group
    size), and how this manifests demographically. The more information stored externally, the stronger
    the selection pressure on traits that support acquisition. Finally, we contrast our model and the Baldwin
    Effect and relate out results to the study of the evolution of human social learning.
    Lecture
  • Date:29WednesdayNovember 2017

    In-cell NMR as a discovery tool: New biological functions for an old amyloid protein

    More information
    Time
    14:00 - 15:00
    Title
    Special Guest Seminar
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Philipp Selenko
    In-cell NMR Spectroscopy, Leibniz Institute of Molecular Pharmacology (FMP Berlin)
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:30ThursdayNovember 2017

    Scaling up single-atom spin qubits in silicon

    More information
    Time
    11:15 - 12:30
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerAndrea Morello
    School of Electrical Engineering & Telecommunications Centre for Quantum Computation & Communication Technology UNSW Sydney, Australia
    Organizer
    Faculty of Physics
    Contact
    AbstractShow full text abstract about The modern information era is built on silicon nanoelectroni...»
    The modern information era is built on silicon nanoelectronic devices. The future quantum information era might be built on silicon too, if we succeed in controlling the interactions between individual spins hosted in silicon nanostructures.
    Spins in silicon constitute excellent solid-state qubits, because of the weak spin-orbit coupling and the possibility to remove nuclear spins from the environment through 28Si isotopic enrichment. Substitutional 31P atoms in silicon behave approximately like hydrogen in vacuum, providing two spin 1/2 qubits -- the donor-bound electron and the 31P nucleus -- that can be coherently controlled [1,2], read out in single-shot [2,3], and are naturally coupled through the hyperfine interaction.
    In isotopically-enriched 28Si, these single-atom qubits have demonstrated outstanding coherence times, up to 35 seconds for the nuclear spin [4], and 1-qubit gate fidelities well above 99.9% for both the electron and the nucleus [5]. The hyperfine coupling provides a built-in interaction to entangle the two qubits within one atom. The combined initialization, control and readout fidelities result in a violation of Bell’s inequality with S = 2.70, a record value for solid-state qubits [6].
    Despite being identical atomic systems, 31P atoms can be addressed individually by locally modifying the hyperfine interaction through electrostatic gating [7]. Multi-qubit logic gates can be mediated either by the exchange interaction [8] or by electric dipole coupling [9].
    Scaling up beyond a single atom presents formidable challenges, but provides a pathway to building quantum processors that are compatible with standard semiconductor fabrication, and retain a nanometric footprint, important for truly large-scale quantum computers.

    [1] J.J. Pla et al., Nature 489, 541 (2012)
    [2] J.J. Pla et al., Nature 496, 334 (2013)
    [3] A. Morello et al., Nature 467, 687 (2010)
    [4] J.T. Muhonen et al., Nature Nanotech. 9, 986 (2014)
    [5] J.T. Muhonen et al., J. Phys.: Condens. Matt. 27, 154205 (2015)
    [6] J.P. Dehollain et al., Nature Nanotech. 11, 242 (2016)
    [7] A. Laucht et al., Science Advances 1, e1500022 (2015)
    [8] R. Kalra et al., Phys. Rev. X 4, 021044 (2014)
    [9] G. Tosi et al., Nature Communications 8:450 (2017)

    Colloquia
  • Date:30ThursdayNovember 2017

    Integrating genetic and epigenetic mechanisms of MAP kinase pathway targeted therapy resistance toward rational combination therapies

    More information
    Time
    14:00 - 15:00
    Title
    Cancer Research Club
    Location
    Max and Lillian Candiotty Building
    LecturerProf. Keith T. Flaherty
    Massachusetts General Hospital Cancer Center Harvard Medical School, USA
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    AbstractShow full text abstract about Efforts to describe mechanisms of de novo and adaptive resis...»
    Efforts to describe mechanisms of de novo and adaptive resistance to BRAF and MEK inhibitors in melanoma have provided evidence of a convergent resistance phenotype defined by neural crest markers. Cells with this phenotype have been described as slowly cycling and invasive in comparison to isogenic cells with expressing melanocyte differentiation markers. Additionally, these neural crest-like cells utilize receptor tyrosine signaling to drive survival pathways and oxidative phosphorylation as their primary metabolic feature. These insights have provided new leads for therapeutic intervention to target these resistant cells. In parallel work, tumors that are not responsive to immune checkpoint antibodies have been found to have many of the same features: most notably loss of melanocyte lineage antigens and expression of neural crest markers. These data suggest that similar next-generation therapeutic strategies aimed at overcoming therapeutic resistance may be useful in combination with both MAPK pathway and immune checkpoint inhibitors.
    Lecture
  • Date:30ThursdayNovember 2017

    Pelletron meeting - by invitation only

    More information
    Time
    16:00 - 17:45
    Contact
    Lecture
  • Date:03SundayDecember 2017

    Aerosol-cloud-precipitation interaction in eastern China: observations and modelling analyses

    More information
    Time
    11:00 - 11:00
    Location
    Sussman Family Building for Environmental Sciences
    LecturerProf Jianping Guo
    State Key Laboratory of Severe Weather in the Chinese Academy of Meteorological Science
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    Lecture
  • Date:03SundayDecember 2017

    Neutron star mergers: gravitational waves and nucleosynthesis of heavy elements

    More information
    Time
    13:00 - 14:00
    Location
    Edna and K.B. Weissman Building of Physical Sciences
    LecturerAvishay Gal Yam, Eran Ofek, Prof. Eli Waxman, Prof. Doron Kushnir
    WIS
    Organizer
    Faculty of Physics
    Contact
    AbstractShow full text abstract about : In this special event, motivated by the 2017 Physics Nobel...»
    : In this special event, motivated by the 2017 Physics Nobel prize and the recent first
    detection of a neutron star merger via both gravitational waves and electromagnetic radiation,
    we will review the recent discovery and its implications.
    Colloquia
  • Date:03SundayDecember 2017

    Molecular Genetics Departmental Seminars 2017-2018

    More information
    Time
    13:15 - 13:15
    Title
    “Uncovering Mbd3/NuRD function in reprogramming and early development”
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerNofar Mor
    Organizer
    Department of Molecular Genetics
    Contact
    Lecture
  • Date:04MondayDecember 2017

    The Atmosphere as a Dynamical System: a Happy Tale of Theory Matching Reality

    More information
    Time
    10:00 - 10:00
    Location
    Sussman Family Building for Environmental Sciences
    LecturerGabriele Messori
    Stockholm University
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    AbstractShow full text abstract about Atmospheric flows are characterized by chaotic dynamics and ...»
    Atmospheric flows are characterized by chaotic dynamics and recurring large-scale patterns. These two characteristics point to the existence of an atmospheric attractor defined by Lorenz as: “the collection of all states that the system can assume or approach again and again, as opposed to those that it will ultimately avoid”. While this dynamical systems perspective can seem horribly abstract, it has immediate applications to the study of large-scale atmospheric patterns and extreme weather events. I will first show that we can compute measures of the stability and complexity (dimension) of instantaneous atmospheric fields in a (relatively) easy way. Next, I hope to convince you that these two quantities are actually useful! Their extreme values correspond to specific large-scale atmospheric patterns, and match extreme weather occurrences. They can also be used to identify "maximum predictability" states of the atmosphere, where the flow at positive lags of up to one week is particularly stable and with a small number of degrees of freedom. Finally, there is a significant correlation between the time series of instantaneous stability and complexity of an atmospheric field and the mean spread at lead times of over two weeks of an operational ensemble weather forecast initialised from that state.

    Lecture

Pages