Inbal Israely

Pathology and Cell Biology
Columbia University Medical Center
United States of America

Professor Pathology
Biography

Assistant Professor of Pathology and Cell Biology Dr. Israely received her BSc degree in Molecular Biology at the University of California, San Diego, in 1996. After working for a short while in the field of eukaryotic gene expression, she wanted to understand how the regulation of single proteins could lead to changes in brain function. She began her graduate studies at the University of California, Los Angeles, in the laboratory of Dr. Xin Liu and in collaboration with Dr. Alcino Silva, to study the role of a neural specific adhesion protein in cognitive function. After completing her PhD in 2004, Dr. Israely joined Susumu Tonegawa's lab at MIT, where, using two-photon imaging and glutamate uncaging, she examined long lasting changes at individual synapses upon activity. In 2009, she moved to Portugal to start her own group in the Champalimaud Neuroscience Program. Assistant Professor of Pathology and Cell Biology Dr. Israely received her BSc degree in Molecular Biology at the University of California, San Diego, in 1996. After working for a short while in the field of eukaryotic gene expression, she wanted to understand how the regulation of single proteins could lead to changes in brain function. She began her graduate studies at the University of California, Los Angeles, in the laboratory of Dr. Xin Liu and in collaboration with Dr. Alcino Silva, to study the role of a neural specific adhesion protein in cognitive function. After completing her PhD in 2004, Dr. Israely joined Susumu Tonegawa's lab at MIT, where, using two-photon imaging and glutamate uncaging, she examined long lasting changes at individual synapses upon activity. In 2009, she moved to Portugal to start her own group in the Champalimaud Neuroscience Program.

Research Intrest

In the lab, we are interested in understanding how activity can lead to specific structural changes which may be important for learning, and how such changes affect connectivity within neural circuits. While information can be stored over our entire lifespan, it is unclear how it is physically encoded and how the fidelity of connections is maintained. A guiding principle is that neuronal structure and function are intimately linked, and we aim to determine how this relationship allows our brains to learn and remember. The focus of the lab is on single neurons, even single spines, to understand the cellular mechanisms that are important for structural plasticity and learning. Does activity arriving at one or multiple inputs become encoded in the same way? Are some forms of activity more efficacious than others, and do they lead to long lasting changes of spines? We can understand this by tracking the outputs of synaptic plasticity in real-time, since individual spines physically change in size as they change in efficacy. We use 2-photon microscopy to stimulate living spines (through the activation of caged glutamate), and then visualize structural changes (both in size and shape) in response to this stimulation. We also monitor electrophysiological responses of the neuron and image calcium signals using genetically encoded sensors. By delivering diverse activity patterns to individual synapses or to groups of synapses, we shed light on single input encoding as well as on interactions between them, such as cooperation and competition. The latter can serve as mechanisms for clustering spines and may determine how neuronal connectivity is shaped. This is of particular interest as several neurodevelopmental disorders are characterized by abnormal spine morphologies and distributions, and have a high incidence of autism, highlighting the link between structure and cognitive function. We use animal models of such disorders to probe for common principles of neuronal dysfunction. Thus, by combining molecular and genetic tools together with imaging and electrophysiological methodologies, we study how information is physically stored in the brain. Through this approach, we hope to learn how neurons process information in a state of health, as well as to unravel what can go wrong during disease.