Neurogenetics and Brain Development

This module introduces the fundamental concepts of gene expression in neuroscience. Students will learn about the central dogma of molecular biology, the processes of transcription and translation, and how these mechanisms contribute to the development and function of the nervous system.

This module explores the concepts of genetic variation, gene networks, and epigenetics in the context of neuroscience. Students will learn how genetic differences and epigenetic modifications can influence brain development and function, and how genes interact in complex networks to regulate neuronal processes.

This module delves into the study of the genome, epigenome, and transcriptome in neuroscience research. Students will learn about high-throughput sequencing technologies, bioinformatics approaches, and how these tools are used to understand gene regulation and expression patterns in the nervous system.

This module provides an overview of embryonic development, focusing on the processes relevant to the nervous system. Students will learn about key developmental stages, signaling pathways, and morphogenetic events that shape the formation of the brain and spinal cord.

This module focuses on the specific developmental processes that give rise to the nervous system. Students will learn about neurogenesis, neuronal migration, axon guidance, and synaptogenesis, as well as the molecular mechanisms that regulate these processes.

This module introduces students to various methods and tools used in neurogenetics research. Topics may include gene editing techniques, transgenic animal models, optogenetics, and other cutting-edge approaches used to study gene function in the nervous system.

This module explores the principles and applications of gene therapy in treating neurological disorders. Students will learn about various gene delivery methods, challenges in targeting the nervous system, and current clinical trials in neurological gene therapy.

This module introduces students to the concept of big data in neuroscience research. Topics may include data management, analysis of large-scale datasets, and the use of machine learning approaches in neurogenetics and developmental neuroscience.

This final module introduces students to computational modeling approaches in neuroscience. Students will learn about different types of models used to simulate genetic and developmental processes in the nervous system, and how these models can integrate diverse experimental data to generate new hypotheses.