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Cherubini, E.

Publications and source records attributed to Cherubini, E..

2 recordsLinked to original sources

Phenuivirus glycoprotein Gc domain is a conserved target of cross-functional monoclonal antibodies

Phenuiviruses which include Rift Valley Fever Virus (RVFV), classified by WHO as one of the top priority pathogens with outbreak potential, are emerging arthropod-borne viruses that pose an increasing threat to public health. In line with the prototype pathogen framework advanced by the NIAID, the sandfly-transmitted Toscana virus (TOSV) has been adopted as a prototype to advance understanding of relevant phenuiviruses and inform the development of broadly applicable medical countermeasures. In this study, we sought to isolate and characterize monoclonal antibodies (mAbs) elicited by natural TOSV infection to identify shared antigenic determinants. By employing the conserved envelope Gc glycoprotein as bait for antigen-specific B cell sorting, we recovered more than 1,450 memory B cells and identified 112 Gc-specific neutralizing mAbs. Over one-third of these mAbs exhibited cross-reactivity with RVFV, a genetically distinct phenuivirus. Selected mAbs provided prophylactic protection in a murine model of TOSV infection. Together, our findings establish Gc as an important target of protective neutralizing antibodies and provide insights that may guide the rational design of widely effective interventions, strengthening readiness against future phenuivirus outbreaks.

immunology↗

State Dependent Coupling of Hippocampal Oscillations

Oscillations occurring simultaneously in a given area represent a physiological unit of brain states. They allow for temporal segmentation of spikes and support distinct behaviors. To establish how multiple oscillatory components co-varies simultaneously and influence neuronal firing during sleep and wakefulness, we describe a multi-variate analytical framework for constructing the state space of hippocampal oscillations. Examining the co-occurrence patterns of oscillations on the state space, across species, uncovered the presence of network constraints and distinct set of cross-frequency interactions during wakefulness as compared to sleep. We demonstrated how the state space can be used as a canvas to map the neural firing and found that distinct neurons during navigation were tuned to different set of simultaneously occurring oscillations during sleep. This multivariate analytical framework provides a window to move beyond classical bivariate pipelines, for investigating oscillations and neuronal firing, thereby allowing to factor-in the complexity of oscillation-population interactions.

neuroscience↗