Optimizing methods for human testicular tissue cryopreservation and spermatogonial stem cell isolation

Cryopreservation of testicular tissue before cancer therapy for fertility preservation in prepubertal boys with cancer is of great interest in reproductive medicine. Isolation of spermatogonial stem cells (SSCs) from cryopreserved tissues would be a suitable cell source to re-establish spermatogenesis after cancer therapy. We herein establish optimized protocols for cryopreservation of human testicular tissue and isolation of SSCs from cryopreserved tissue. We developed a freezing protocol that provided high testicular cell viability and supported structural integrity and tubular epithelium coherence similar to fresh tissue. Then, we established a protocol that allowed efficient isolation of functional SSCs from cryopreserved tissues. Isolated cells were found on the testicular basement membrane after xenotransplantation. Our results demonstrated the preservation of testicular tissue structure and high cell viability with efficient isolation of SSCs after testicular cryopreservation, which is promising for future therapeutic applications in fertility preservation.     

A general mathematical performance model for wormhole-switched irregular networks

Irregular topologies are desirable network structures for building scalable cluster systems and very recently they have also been employed in SoC (system-on-chip) design. Many analytical models have been proposed in the literature to evaluate the performance of networks with different topologies such as hypercube, torus, mesh, hypermesh, Cartesian product networks, star graph, and k-ary n-cube; however, to the best of our knowledge, no mathematical model has been presented for irregular networks. Therefore, as an effort to fill this gap, this paper presents a comprehensive mathematical model for fully adaptive routing in wormhole-switched irregular networks. Moreover, since our approach holds no assumption for the network topology, the proposed analytical model covers all the aforementioned models (i.e. it covers both regular and irregular topologies). Furthermore, the model makes no preliminary assumption about the deadlock-free routing algorithm applied to the network. Finally, besides the generality of the model regarding the topology and routing algorithm, our analysis shows that the analytical model exhibits high accuracy which enables it to be used for almost all topologies with all traffic loads.