9:00 AM-6:00 PM
UPDATE: Thank you for your interest in the Cell Mapping Symposium, this event is SOLD OUT. For those who cannot attend in person, we are excited to announce that the symposium will be livestreamed! To view the livestream video on the day of the event, please visit: https://youtu.be/kU9FE58jnvQ
The Cell Mapping Symposium will address cell mapping as it relates to cancer, psychiatric disorders, infectious diseases and technology development. A major motivation of this symposium is the realization that although much insight has been gained from large genome sequencing projects, effort now needs to be placed on extracting mechanistic insight from these data. These efforts include using proteomic, biochemical, genetic and structural biology approaches to generate cellular maps that can be used to interpret this genomic data from a variety of different disease areas.
This exciting, full-day symposium will feature talks from a variety of distinguished speakers and will be held at the Sanford Consortium for Regenerative Medicine in La Jolla, CA (MAP). The symposium begins at 9:00 AM on Monday, October 29, 2018 and will conclude with an evening reception at 6:00 PM. Refreshments and lunch are provided.
Free to attend, but registration is required.
About Cell Mapping
The ability of a cell to respond to its environment depends on the actions of the proteins encoded by the DNA in the genome. However, most proteins don’t work alone. They work with other proteins in teams called complexes. The principles of “cell mapping” are to figure out which proteins work together in complexes. Mapping can be done in different disease states or in the presence of different chemical drugs. To accomplish these goals, researchers augment these cell maps with genetic maps to derive quantitative insights into how biological functions of cells can be restored.
One of the main objectives of this symposium is to discuss technological advances in extracting mechanistic insight from these large genome sequencing projects. These efforts include using proteomic, biochemical, genetic, and structural biology approaches to generate cellular maps that can be used to interpret this genomic data from a variety of different disease areas.
* schedule subject to change
Cancer Cell Map Initiative
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