Finite element analysis can be used to study the change of the structure and the interior field intensity of human and animal body organs and tissues with simulation experiment. We in our research used finite element analysis software to analyze and solve the spinal cord surface potential problems, and investigated the transmission features of signals generated by interneurons in spinal nerves which were related with body motion control and sensory processing. A three dimensional model of electrical source in rat spinal cord was built, and the influence on potential distribution on spinal cord surface caused by position changes of electrical source in transverse direction and dorsoventral direction were analyzed and calculated. We obtained the potential distribution curves of spinal cord surface and found that the potential distribution on spinal cord surface showed monotone. In addition, potentials of some registration points were smaller than that of registration points around.
The purpose of this study was to identify specific microRNAs (miRNAs) during differentiation and maturation of interneurons and to predict their possible functions by analyzing the expression of miRNAs during in vitro differentiation of the rat interneuron precursor cell line GE6. In the experiment, the interneuron precursor cell line GE6 was cultured under three different conditions, i.e. the first was that had not added growth factors and the normal differentiation cultured for 4 days (Ge6_4d); the second was that cultured with bone morphogenetic protein-2 (BMP2) for 4 days (Ge6_bmp2); and the third was that cultured with sonic hedgehog (SHH) for 4 days (Ge6_shh). In addition, another group of undifferentiated GE6 (Ge6_u) was applied as a control. We found in this study that the expression levels of a large number of miRNAs changed significantly during GE6 differentiation. The expression levels of miR-710, miR-290-5p and miR-3473 increased in the GE6 cells with secreted factor BMP2. These miRNAs may play important regulatory roles during interneuron differentiation.