Knockdown H19 Accelerated iPSCs Reprogramming through Epigenetic Modifications and Mesenchymal-to-Epithelial Transition.

H19 is an essential imprinted gene that is expressed to govern normal embryonic development. During reprogramming, the parental pronuclei have asymmetric reprogramming capacities and the critical reprogramming factors predominantly reside in the male pronucleus. After inhibiting the expression of H19 and Gtl2, androgenetic haploid ESCs (AG-haESCs) can efficiently and stably support the generation of healthy SC pups at a rate of ~20%, and double-knockout parthenogenetic haESCs can also produce efficiently. Induced pluripotent stem (iPS) cell reprogramming is thought to have a characteristic epigenetic pattern that is the reverse of its developmental potential; however, it is unclear how H19 participates in iPS cell reprogramming. Here, we showed that the expression of H19 was transiently increased during iPSC reprogramming. H19 knockdown resulted in greater reprogramming efficiency. The genes associated with pluripotency showed enhanced expression during the early reprogramming process, and the Oct4 promoter was demethylated by bisulfite genomic sequencing analysis. Moreover, expression analysis revealed that the mesenchymal master regulators associated with epithelial-to-mesenchymal transition (EMT) were downregulated during reprogramming in H19 knockdown. These findings provide functional insight into the role of H19 as a barrier to the early reprogramming process.

All-optical spiking neural network and optical spike-time-dependent plasticity based on the self-pulsing effect within a micro-ring resonator.

In this paper, we proposed an all-optical version of photonic spiking neurons and spike-time-dependent plasticity (STDP) based on the nonlinear optical effects within a micro-ring resonator. In this system, the self-pulsing effect was exploited to implement threshold control, and the equivalent pulse energy required for spiking, calculated by multiplying the input pulse power amplitude with its duration, was about 14.1 pJ. The positive performance of the neurons in the excitability and cascadability tests validated the feasibility of this scheme. Furthermore, two simulations were performed to demonstrate that such an all-optical spiking neural network incorporated with STDP could run stably on a stochastic topology. The essence of such an all-optical spiking neural network is a nonlinear spiking dynamical system that combines the advantages of photonics and spiking neural networks (SNNs), promising access to the high speed and lower consumption inherent to optical systems.