Category Archives: Seminar

Neuroscience Special Seminar | Dr. Yehezkel (Hezi) Sztainberg

Rappaport Faculty of Medicine
Search Committee Seminar

Speaker: Yehezkel (Hezi) Sztainberg, Ph.D.
Affiliation: Dept of Molecular and Human Genetics, Baylor College of Medicine
and The Jan and Dan Duncan Neurological Research Institute,
Texas Children’s Hospital
Title: Neurodevelopmental disorders: from basic science to novel therapeutic approaches
Date: Feb 1, 2017
Time: 13:30-14:30
Place: 4th Floor Seminar Room

Abstract:
Neurodevelopmental disorders encompass a wide range of childhood-onset medical conditions caused by different genetic mutations and interaction with environmental factors, affect ~2% of the population, and are a leading cause of intellectual disability and autism spectrum disorder. Evidence is accumulating that either loss or gain in dosage of proteins involved in cognitive and behavioural processes can be deleterious to the nervous system by causing a failure in the ability to maintain neuronal homeostasis. My studies are focused on the MECP2 duplication syndrome, one of the most common genomic rearrangements in males, characterized by autism, intellectual disability, motor dysfunction, anxiety, epilepsy, recurrent respiratory tract infections and early death. To determine whether the phenotypes of MECP2 duplication are reversible upon normalization of MeCP2 levels, I first generated and characterized a new mouse model that over-expresses a conditional allele of Mecp2 that could be deleted in the adult animal (Nature 2015). Upon normalization of MeCP2 in adult symptomatic mice, several phenotypes were rescued at the behavioral, physiological, and molecular levels. Next, I reduced MeCP2 using an antisense oligonucleotide (ASO) strategy, which has greater translational potential. I found that ASO treatment induced a broad phenotypic rescue in adult symptomatic MECP2 duplication mice, abolished abnormal EEG discharges and behavioral seizures, and corrected abnormal gene expression in the hippocampus. I am currently characterizing a novel “humanized” mouse model of MECP2 duplication syndrome that will precisely mimic the human condition by having two copies of human MECP2 and no copies of the mouse gene. These mice will serve as the ideal model for preclinical tests as they represent the closest construct validity model for the human condition. In addition, I am generating and characterizing neurons induced from patients’ derived pluripotent stem cells (iPSCs).

Neuroscience Special Seminar | Dr. Mark Shein-Idelson

Rappaport Faculty of Medicine
Search Committee Seminar

Speaker: Mark Shein-Idelson, Ph.D.
Affiliation: Department of Neural Systems & Coding,
Max-Planck-Institute for Brain Research,
Frankfurt, Germany
Title: From dragons’ sleep to sliders’ sight: Explorations in ancestral cortices
Date: Jan 11, 2017
Time: 13:30-14:30
Place: 4th Floor Seminar Room

Abstract:
The emergence of the cortex and its dramatic increase in size during vertebrate evolution suggest that it employs valuable computations. However, despite decades of intensive research and major advances in our knowledge of the molecular machinery underlying cortical functions, we still lack an understanding of these computations. In my talk, I will suggest that new insights can be gained by studying “simpler” cortices which are found in extant reptiles. Reptiles are the only extant class except mammals to have a layered cortex and are closest to the common ancestor of all amniotes (mammals, reptiles and birds). The reptilian cortex has three-layers (in contrast to six layers in mammals) and contains subdivisions that are considered to be homologous to both the mammalian neocortex and hippocampus. Focusing on two examples: sleep in bearded dragons and visual processing in red eared sliders, I will suggest that studying reptiles can provide a new understanding of the evolution of brain activity. In addition, reptilian brains can serve as a valuable model system for understanding population dynamics during sleep and wakefulness and may expose fundamental computational principles shared by all amniotes.