Not exact matches
Mardinoglu says the team's network
modeling approach, which relied on data from the Sweden - based Human Protein Atlas project and The Genotype - Tissue Expression (GTEx) project consortia, can be used in the identification
of drug targets and eventually in the development
of efficient strategies for treating a number
of chronic liver
diseases.
In order to an early detection or a correct medication
of potentially chronic
diseases, we need more
efficient models in the primary health care to identify those who are at risk.
Many
of these devices resemble sleeker, more
efficient models of instrumentation used by research labs to record brain activity during sleep, physiological changes during stress, migraine triggers, activity levels and even early symptoms
of debilitating neurological
diseases.
Furthermore, new genome - editing technologies such as CRISPR / Cas9 now enable the
efficient derivation
of precision
disease models incorporating patient - specific genetic variants as a means
of recapitulating essential aspects
of human
disease in mouse and other
model organisms.
The
efficient genome editing shown here demonstrates that these pigs can serve as a powerful tool for dissecting in vivo gene functions and biological processes in a temporal manner and for streamlining the production
of genome - edited pigs for
disease modeling.
By developing a simple chemically defined culture system permitting
efficient differentiation
of numerous human iPS cell lines toward cells
of a mature hepatic state, we now demonstrate the possibility
of modeling groups
of diseases of non-neuronal origin whose phenotypes are a consequence
of complex protein dysregulation within adult cells.
Efficient effective integrated systems are needed to reduce the impact
of increasing chronic
disease and an aging population and these concepts can be applied for long - term
models.