Uso de células iPS en terapia regenerativa renal: obtención de células iPS mediante vector no integrativo y diferenciación hacia podocitos.

[ES]En las sociedades modernas existe una creciente preocupación por el aumento de la incidencia de la enfermedad renal crónica. Debido a la deficiencia de donantes de órganos y al elevado coste del tratamiento de diálisis, existe la necesidad de desarrollar nuevos tratamientos para estos pacientes. La medicina regenerativa basada en la aplicación de células iPS es una opción prometedora para el tratamiento de esta enfermedad. Sin embargo, la falta de conocimientos sobre el estado pluripotencial de las células y sobre su proceso de diferenciación, así como las limitaciones derivadas del propio procedimiento de reprogramación, impiden su aplicación clínica en un futuro inmediato. Para que se convierta en realidad, numerosas investigaciones se están llevando a cabo con el objetivo de mejorar el procedimiento y hacerlo adecuado para su aplicación clínica. En este trabajo se propone un método que permitiría obtener células iPS a partir de células mesangiales mediante la transfección con un vector no integrativo, el virus Sendai, portador de los genes Oct3/4, Sox2, Klf4 y c-Myc. Al tratarse de un vector no integrativo, se minimizaría el efecto del proceso de reprogramación sobre la estabilidad del genoma celular. Además, en este proyecto se estudiará la capacidad de las células iPS obtenidas para diferenciarse en células progenitoras de podocitos que puedan ser aplicadas específicamente en terapias regenerativas para enfermos renales crónicos.

Community structure in real-world networks from a non-parametrical synchronization-based dynamical approach

[EN]This work analyzes the problem of community structure in real-world networks based on the synchronization of nonidentical coupled chaotic Rössler oscillators each one characterized by a defined natural frequency, and coupled according to a predefined network topology. The interaction scheme contemplates an uniformly increasing coupling force to simulate a society in which the association between the agents grows in time. To enhance the stability of the correlated states that could emerge from the synchronization process, we propose a parameterless mechanism that adapts the characteristic frequencies of coupled oscillators according to a dynamic connectivity matrix deduced from correlated data. We show that the characteristic frequency vector that results from the adaptation mechanism reveals the underlying community structure present in the network.

A block SPP algorithm for multidimensional tridiagonal equations with optimal message vector length

A parallel strategy for solving multidimensional tridiagonal equations is investigated in this paper. We present in detail an improved version of single parallel partition (SPP) algorithm in conjunction with message vectorization, which aggregates several communication messages into one to reduce the communication cost. We show the resulting block SPP can achieve good speedup for a wide range of message vector length (MVL), especially when the number of grid points in the divided direction is large. Instead of only using the largest possible MVL, we adopt numerical tests and modeling analysis to determine an optimal MVL so that significant improvement in speedup can be obtained.

On optimal message vector length for block single parallel partition algorithm in a three-dimensional ADI solver

It has long been recognized that many direct parallel tridiagonal solvers are only efficient for solving a single tridiagonal equation of large sizes, and they become inefficient when naively used in a three-dimensional ADI solver. In order to improve the parallel efficiency of an ADI solver using a direct parallel solver, we implement the single parallel partition (SPP) algorithm in conjunction with message vectorization, which aggregates several communication messages into one to reduce the communication costs. The measured performances show that the longest allowable message vector length (MVL) is not necessarily the best choice. To understand this observation and optimize the performance, we propose an improved model that takes the cache effect into consideration. The optimal MVL for achieving the best performance is shown to depend on number of processors and grid sizes. Similar dependence of the optimal MVL is also found for the popular block pipelined method.

Temporal characteristic simulation for stimulated emission depletion microscopy

The imaging technology of stimulated emission depletion (STED) utilizes the nonlinearity relationship between the fluorescence saturation and the excited state stimulated depletion. It implements three-dimensional (3D) imaging and breaks the diffraction barrier of far-field light microscopy by restricting fluorescent molecules at a sub-diffraction spot. In order to improve the resolution which attained by this technology, the computer simulation on temporal behavior of population probabilities of the sample was made in this paper, and the optimized parameters such as intensity, duration and delay time of the STED pulse were given.