Integrated Calendar

Multiparton interactions in proton-proton collisions have long been a topic of great interest. A new look at them has begun to emerge from work being done to understand the dynamics of ‘small systems’, a topic that is taking center stage in the physics of relativistic heavy-ion interactions. Numerous studies conducted at the LHC and lower energies reveal that proton-proton collisions at high energy form a system in which final state interactions substantially impact experimentally observable quantities in the soft sector. However, until recently, no evidence was shown that final state interactions could also affect observables produced in the hard scattering processes. Studies performed by the LHC experiments present strong evidence that the final state interactions in proton-proton collisions have a drastic impact on the b-quark bound states production, whose yields may be reduced by more than a factor of two.

Template-directed synthesis can be used to create π-conjugated porphyrin nanorings that are as big as proteins, with diameters ranging from 2 nm to more than 20 nm. These nanorings mimic the ultra-fast energy migration of photosynthetic light-harvesting chlorophyll arrays. They are highly redox active and they display global aromaticity in some oxidation states. For example, the 12-porphyrin nanoring is globally aromatic in its 6+ oxidation state with a Hückel circuit of 4n + 2 = 162 π electrons (diameter 5 nm). This is the largest aromatic circuit yet reported. The aromatic and antiaromatic ring currents confirm that there is long-range charge delocalization. Recent work on these systems will be presented.

Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. I will describe a new and robust methodology to quantify the redox-dependent heterogeneity on a single cell level and how we can use it to identify new redox-regulated proteins.

One of such identified redox switch proteins is a key player in the protein degradation pathway, Cdc48 (VCP /p97). I will show how we can use structural mass spectrometry, computational modeling, and cell biology to define its working cycle.

Interactions between the thalamus and cortex are critical for normal cognition. Although classical theories emphasize its role in transmitting signals to or between cortical areas, recent studies show that the thalamus modulates cortical function through additional mechanisms. In this talk, I will discuss findings that highlight the role of the mediodorsal (MD) thalamus in regulating prefrontal excitatory/inhibitory balance and effective connectivity during decision making. I will present recently published data showing that the MD thalamus dynamically adjusts prefrontal evidence integration according to incoming stimulus statistics. I will also present unpublished data showing how the thalamus may be a nexus for handling distinct types of task uncertainty. Given that MD-PFC interactions are known to be perturbed in schizophrenia, these findings may be relevant to suboptimal management of uncertainty that leads to aberrant beliefs. If time allows, I will present early collaborative work in that domain.

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

Novel treatments that are under development for heart failure, metabolic disorders, kidney disease, and other debilitating illnesses generally target specific molecular and cellular mechanisms of action. However, assessment of such treatments is often complicated by the lack of easily measurable blood biomarkers, and a reliance upon repeated tissue biopsy. Subsequently, many exploratory studies utilize non-invasive imaging methods to characterize changes in whole organ structure and function as surrogate markers for underlying cellular and molecular changes. Although such measurements can be performed serially, such macro-level imaging measurements are often insensitive to physiologically meaningful treatment responses. In addition, the lack of target specificity represents a fundamental barrier both in pre-clinical development and clinical trials where the information potentially gleaned from a more physiologically rich data set would be of high value to further therapeutic development. My primary research interest is in using magnetic resonance imaging (MRI) as a platform technology for non-invasive and multiplexed molecular imaging in heart and kidney failure. Using a first principles approach, my group seeks to unify changes in myocardial and kidney MRI physics properties with advanced pulse sequence design and analysis in order to enable integrative physiological imaging that both identifies mechanisms of failure earlier than existing diagnostics, and directly measures the impacts of new therapies on their intended therapeutic targets. Using a process of chemical exchange saturation transfer (CEST) we have designed pre-clinical methods to quantify viral carriers of somatic cell gene editing machinery, gene transfer following adeno associated viral gene therapy, and to longitudinally quantify cell survival/proliferation following intra-myocardial implantation in mouse models of regenerative cell therapy. In addition, cardiac CEST approaches for imaging of myocardial creatine and fibrosis using endogenous contrast mechanisms have been translated from mouse models to clinical application in obese adults and renal failure patients on routine hemodialysis. Most recently we have developed methods to probe renal physiology and failure based on endogenous CEST contrast generated by urea. When integrated, these approaches can enable serially non-invasive and multi-scale analysis from the level of gene expression up to whole organ function in disease settings that currently have limited non-invasive molecular tools.