Integrated Calendar

Phase separation is generally a thermodynamic process in which a mixture reaches its lowest free energy state by self-assembling into meso- (or macro-) scale regions that are concentrated or dilute in a given molecular component. Familiar examples include the immiscibility of water and oil, the demixing of metal atoms in alloys, and the mesoscale formation of emulsions such as milk or paint. The fundamental physics behind both the equilibrium and non-equilibrium aspects of phase separation are well understood and this talk will begin with a brief review of those. A rapidly growing body of experiments suggests that phase separation is responsible for the formation of membraneless domains (also known as biomolecular condensates, with length scales on the order of microns) in biological cells. These compartments allow the cell to organize itself in space and can promote or inhibit biochemical reactions, provide regions in which macromolecular assemblies can form, or control the spatial organization of DNA (assembled with proteins as chromatin) in the cell nucleus. I will review some recent examples based on experiments done at the Weizmann Institute on phase separation of proteins and of chromatin in the nucleus and show how physics theory has led to their understanding. In the latter case, a new paradigm is emerging in which the genetic material is not necessarily uniformly distributed within the nucleus but separated into domains which in some cases, have a complex, “marshland”, mesoscale structure. But while many of the equilibrium aspects can be at least semi-quantitatively understood by extensions of statistical physics, biological systems often do not have constant overall compositions as is the case in the examples of oil-water, alloys and emulsions; for example, over time, the cell produces and degrades many proteins. The recent understanding of such strongly non-equilibrium effects has informed the theoretical physics of phase separation and has allowed us to establish a framework in which biological noise can be included.
* Collaborations: Omar Arana-Adame, Gaurav Bajpai, Dan Deviri, Amit Kumar (Dept. Chemical and Biological Physics), group of Emmanuel Levy (Dept. Structural Biology) and group of Talila Volk (Dept. Molecular Genetics)

Two of the most fundamental questions of sensory neuroscience are: 1) how is stimulus information represented by neuronal activity? and 2) what features of this activity are read out to guide behavior? The first question has been the subject of a large body of work across different sensory modalities. The second question remains a significant challenge, since one needs to establish a causal link between neuronal activity and behavior.
In olfaction, it has been proposed that information about odors is encoded in spatial distribution of receptor activation and the next level mitral/tufted cells, as well as in their relative timing and synchrony. However, the role of different features of neural activity in guiding behavior remains unknown. Using mouse olfaction as a model system, we developed both technological and conceptual approaches to study sensory coding by perturbing neural activity at different levels of information processing during sensory driven behavioral tasks. We developed methods for both one-photon spatiotemporal pattern stimulation using digital mirror devices at the glomerulus level in the olfactory bulb, and two-photon holographic pattern stimulation deeper in the brain, at the level of mitral/tufted cells. Using these techniques, we performed quantitative behavioral experiments to, first, measure psychophysical limits of the readability of different features of the neural code, and, second, to quantify their behavioral relevance. Based on these results, we built a detailed mathematical model of the behavioral relevance of the different features of spatiotemporal neural activity. Our approach can be potentially generalized to other sensory systems.
Link:

https://weizmann.zoom.us/j/95406893197?pwd=REt5L1g3SmprMUhrK3dpUDJVeHlrZz09
Meeting ID: 954 0689 3197
Password: 750421

Zoom Link: https://weizmann.zoom.us/j/93495966390?pwd=T3hDNXY1WFh6bFpIbDh3OEFxZlcwZz09

The fibre-matrix interface plays a vital role in the overall mechanical behaviour of a fibre-reinforced composite, but the classical approach to improving the interface through chemical sizing is limited by material properties. Achieving a simultaneous improvement in strength and toughness in a composite is a particular challenge since these properties are mutually exclusive, and the chemical modification of the interface often results in one property being improved at the expense of the other. In contrast, the geometrical modification of the fibre-matrix interface to allow for mechanisms such as mechanical interlocking of components is a promising approach to resolving this challenge. This study explores a novel type of topographical obstacle – polymer droplets at the fibre-matrix interface. Discrete epoxy droplets are deposited onto glass fibres and embedded in an epoxy matrix to form model composites. The effect of the interfacial epoxy droplets is investigated using single fibre experiments.

The nucleocytoplasmic transport factor importin β1 has critical roles in the transport of injury-regulated cargos in peripheral neurons. I employed biotinylation by antibody recognition (BAR) to identify axonal importin β1 cargos in primary neurons. Axon focused BAR proteomics suggests a new role of importin β1 in long-distance fatty acid signaling in injured neurons.

The maker movement (cheap electronics + sharing), automated microscopy, autonomous platforms and small footprint satellites have been revolutionizing oceanography, opening a variety of new avenues for research and requiring a different education model. In this talk I will summarize a few activities my lab has been involved in that are associated with these disruptive technologies and why I am very optimistic for the future of our field in the coming years.