细胞重编程与表观遗传学调控

细胞重编程是生命科学研究的热点之一,目前体细胞核移植、细胞融合和特定转录因子诱导等方法都可以实现体外细胞重编程,而在细胞重编程过程中表观遗传学发挥关键的调控作用,因此对重编程过程中表观遗传学调控机制开展深入研究具有重要的意义。本文简要综述细胞重编程的研究现状和表观遗传学调控细胞重编程机制的研究进展,并对小分子化合物和microRNA提高细胞重编程效率的最新进展进行了介绍。     

High-efficient generation of induced pluripotent stem cells from human astrocytes

The reprogramming of human somatic cells to induced pluripotent stem (hiPS) cells enables the possibility of generating patient-specific autologous cells for regenerative medicine. A number of human somatic cell types have been reported to generate hiPS cells, including fibroblasts, keratinocytes and peripheral blood cells, with variable reprogramming efficiencies and kinetics. Here, we show that human astrocytes can also be reprogrammed into hiPS (ASThiPS) cells, with similar efficiencies to keratinocytes, which are currently reported to have one of the highest somatic reprogramming efficiencies. ASThiPS lines were indistinguishable from human embryonic stem (ES) cells based on the expression of pluripotent markers and the ability to differentiate into the three embryonic germ layers in vitro by embryoid body generation and in vivo by teratoma formation after injection into immunodeficient mice. Our data demonstrates that a human differentiated neural cell type can be reprogrammed to pluripotency and is consistent with the universality of the somatic reprogramming procedure.     

细胞融合致体细胞重编程机制研究进展

已分化的体细胞能够通过重编程转化回多能干细胞,在细胞移植、疾病细胞模型的制备以及药物筛选等领域具有重要意义。通过干细胞和体细胞的细胞融合,可使体细胞重编程。细胞融合致体细胞重编程速度快、效率高,是一种研究重编程机制的重要手段。对细胞融合致体细胞重编程的机制作一综述。     

Tracking and Predicting Human Somatic Cell Reprogramming Using Nuclear Characteristics

Reprogramming of human somatic cells to induced pluripotent stem cells (iPSCs) generates valuable resources for disease modeling, toxicology, cell therapy, and regenerative medicine. However, the reprogramming process can be stochastic and inefficient, creating many partially reprogrammed intermediates and non-reprogrammed cells in addition to fully reprogrammed iPSCs. Much of the work to identify, evaluate, and enrich for iPSCs during reprogramming relies on methods that fix, destroy, or singularize cell cultures, thereby disrupting each cell’s microenvironment. Here, we develop a micropatterned substrate that allows for dynamic live-cell microscopy of hundreds of cell subpopulations undergoing reprogramming while preserving many of the biophysical and biochemical cues within the cells’ microenvironment. On this substrate, we were able to both watch and physically confine cells into discrete islands during the reprogramming of human somatic cells from skin biopsies and blood draws obtained from healthy donors. Using high-content analysis, we identified a combination of eight nuclear characteristics that can be used to generate a computational model to predict the progression of reprogramming and distinguish partially reprogrammed cells from those that are fully reprogrammed. This approach to track reprogramming in situ using micropatterned substrates could aid in biomanufacturing of therapeutically relevant iPSCs and be used to elucidate multiscale cellular changes (cell-cell interactions as well as subcellular changes) that accompany human cell fate transitions.