| source Harvard (X) |
level |
department MCB (X) |
This course covers advanced topics in modern cell biology. It is intended for graduate students and advanced undergraduates. The course is organized around important unanswered questions in cell biology. Examples include: what is the fate of the Golgi at mitosis; how do cells and tissues know how big they are? Each week a different question will be addressed through a combination of discussion of primary research papers and lectures.
Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
A course on the properties of biological membranes, essential elements for cell individuality, communication between cells, and energy transduction. Topics include: membrane structure; membrane protein synthesis, insertion in the bilayer and targeting; transporters, pumps and channels; electron transport, H+ gradients and ATP synthesis; membrane receptors, G proteins and signal transduction; membrane fusion.
Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
An integrated introduction to the structure, function, and interactions of cells. Topics covered include: membrane structure and transport, receptors and channels, protein targeting, cytoskeleton, cell cycle, signal transduction, cell migration, cell growth and death, cell adhesion, cell polarity, embryogenesis, organogenesis, and stem cells.
Score: 10.36294 Details | Listing | Web page
Cellular processes involved in the function of neurons will be explored, with emphasis on biophysical and cell biological approaches. Topics include excitable membranes, intracellular membrane trafficking, cytoskeletal dynamics, synaptic transmission, dendritic integration, and synaptic plasticity.
Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
The biology of the individual cell lies at the heart of multi-cellular phenomena such as development and neural function. This course will emphasize critical evaluation of the primary literature, experimental design and scientific writing.
Score: 10.36294 Details | Listing | Web page
Cellular and organismal metabolism, with focus on interrelationships between key metabolic pathways and human disease states. Genetic and acquired metabolic diseases and functional consequences for specific organ systems. Lectures and conferences are integrated with clinical encounters with patients.
Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
Chromosome morphogenesis in prokaryotic and eukaryotic organisms. Topics will include chromosome structure, interactions between chromosomes (sisters and homologs), DNA recombination and repair, topoisomerases, transposable elements and site-specific recombination, epigenetic inheritance. Genetic, cytological, and biochemical approaches will be integrated. Lecture, reading, and discussion of classical and current literature and consideration of future experimental directions.
Score: 10.36294 Details | Listing | Web page
Properties, mechanisms, and functional roles of circadian (daily) rhythms in organisms ranging from unicells to mammals. Cellular and molecular components, regulation of gene expression and physiological functions, genetic and biochemical analyses of circadian rhythms, and neurobiology of the mammalian circadian pacemaker. Mathematics and modeling of oscillatory systems and applications to circadian rhythms. Experimental studies of human rhythms, including the sleep-wake cycle and hormone rhythms, with applications to sleep disorders.
Score: 10.36294 Details | Listing | Web page
Follows trends in modern brain theory, focusing on local neuronal circuits as basic computational modules. Explores the relation between network architecture, dynamics, and function. Introduces tools from information theory, statistical inference, and the learning theory for the study of experience-dependent neural codes. Specific topics: computational principles of early sensory systems; adaptation and gain control in vision, dynamics of recurrent networks; feature selectivity in cortical circuits; memory; learning and synaptic plasticity; noise and chaos in neuronal systems.
Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
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Score: 10.36294 Details | Listing | Web page
The process by which genes, and traits they encode, are transmitted from one cell to another and one generation to the next will be explored. A conceptual foundation for genetic analysis will be established through studies of model organisms including yeast, C. elegans, Drosophila and mouse. Classical approaches and modern transgenic techniques will be explained and ultimately applied towards the understanding of human genetics. Primarily lecture based with some discussion of primary scientific literature.
Score: 10.36294 Details | Listing | Web page