A Novel Knowledge-driven Systems Biology Approach for Phenotype Prediction Upon Genetic Intervention.
- SourceAvailable from: Wei Wang[Show abstract] [Hide abstract]
ABSTRACT: Author Summary Converting somatic cells back to the stem cell state (called induced pluripotent stem cells or iPSCs) exemplifies the recent advancement of cellular reprogramming that holds great promise for developing regenerative medicine. Generation of iPSCs is often achieved by overexpressing three to four genes in somatic cells that are critical for regulating pluripotency. Developing optimal reprogramming recipe is a non-trivial task that requires significant effort. We present here a computational method that can facilitate discovery of effective recipes to generate iPSCs with high efficiency and better quality. In addition, our approach provides a new way to estimate the landscape in the cell-state space and monitor the trajectory of cellular reprogramming from a differentiated cell to an iPS cell. This work provides not only practical recipes for iPSC generation but also theoretical understanding of the reprogramming process.PLoS Computational Biology 12/2011; 7(12):e1002300. DOI:10.1371/journal.pcbi.1002300 · 4.83 Impact Factor