Probabilistic Modeling of Reprogramming to Induced Pluripotent Stem Cells.

ABSTRACT: Reprogramming of somatic cells to induced pluripotent stem cells (iPSCs) is typically an inefficient and asynchronous process. A variety of technological efforts have been made to accelerate and/or synchronize this process. To define a unified framework to study and compare the dynamics of reprogramming under different conditions, we developed an in silico analysis platform based on mathematical modeling. Our approach takes into account the variability in experimental results stemming from probabilistic growth and death of cells and potentially heterogeneous reprogramming rates. We suggest that reprogramming driven by the Yamanaka factors alone is a more heterogeneous process, possibly due to cell-specific reprogramming rates, which could be homogenized by the addition of additional factor

SUBMITTER: Liu LL 

PROVIDER: S-EPMC5467646 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature