; __Protein Interaction Networks Regulating Cell Signaling in Cancer
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__Protein Interaction Networks Regulating Cell Signaling in Cancer


Protein can increase your metabolic rate, because your body needs time to digest the protein consumption of energy. Each intake of 100 grams of protein to consume 25 grams, the actual intake of 75 grams. Otherwise, only consumption of fat per 100 grams 10 grams 90 grams will remain in your body.

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									"Protein Interaction Networks Regulating Cell Signaling in Cancer"

Short abstract:

The study of integral membrane proteins and the identification of their interacting partners is of
critical importance due to their pivotal role in many cellular processes, direct link to human diseases
and their extracellular accessibility to drugs. However, due to their hydrophobic nature, they have
long been difficult to study in a high-throughput format.

We previously developed a genetic technology for the in vivo detection of membrane protein
interactions, called the split-ubiquitin membrane two-hybrid (MYTH) system. A unique advantage of
MYTH is that it detects protein interactors of full-length integral membrane proteins in a high-
throughput screening format.

Our current efforts are directed to identify and characterize protein interactors of all (23) yeast
integral membrane ABC transporters, 100 selected pharmacologically important G-protein coupled
receptors (GPCRs) as well as all (58) human receptor tyrosine kinases (RTKs) in an effort to
understand complex biological processes such as cell signaling and membrane transport at a systems
level. During my talk, I will discuss exciting new findings indicating that the newly identified GPCR-,
and RTK-interacting proteins play novel roles in regulating the activity of these integral membrane
proteins in vivo and in vitro.

Our initial success suggests that the MYTH system represents a robust technology that can be applied
to any organism to identify key interactors for the majority of integral membrane proteins. Such an
approach offers an unbiased systems level view that may identify novel drug targets and contribute
to therapeutic research.

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