<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Iyengar, Bharat R.</style></author><author><style face="normal" font="default" size="100%">Choudhary, Ashwani</style></author><author><style face="normal" font="default" size="100%">Sarangdhar, Mayuresh A.</style></author><author><style face="normal" font="default" size="100%">Venkatesh, K. V.</style></author><author><style face="normal" font="default" size="100%">Gadgil, Chetan J.</style></author><author><style face="normal" font="default" size="100%">Pillai, Beena</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Non-coding RNA interact to regulate neuronal development and function</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers in Cellular Neuroscience</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">gene expression regulation</style></keyword><keyword><style  face="normal" font="default" size="100%">lncRNA</style></keyword><keyword><style  face="normal" font="default" size="100%">miRNA</style></keyword><keyword><style  face="normal" font="default" size="100%">network-motifs</style></keyword><keyword><style  face="normal" font="default" size="100%">piRNA</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">FEB</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">FRONTIERS RESEARCH FOUNDATION</style></publisher><pub-location><style face="normal" font="default" size="100%">PO BOX 110, LAUSANNE, 1015, SWITZERLAND</style></pub-location><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">47</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The human brain is one of the most complex biological systems, and the cognitive abilities have greatly expanded compared to invertebrates without much expansion in the number of protein coding genes. This suggests that gene regulation plays a very important role in the development and function of nervous system, by acting at multiple levels such as transcription and translation. In this article we discuss the regulatory roles of three classes of non-protein coding RNAs (ncRNAs)-microRNAs (miRNAs), piwi-interacting RNA (piRNAs) and long-non-coding RNA (lncRNA), in the process of neurogenesis and nervous function including control of synaptic plasticity and potential roles in neurodegenerative diseases. miRNAs are involved in diverse processes including neurogenesis where they channelize the cellular physiology toward neuronal differentiation. miRNAs can also indirectly influence neurogenesis by regulating the proliferation and self renewal of neural stem cells and are dysregulated in several neurodegenerative diseases. miRNAs are also known to regulate synaptic plasticity and are usually found to be co-expressed with their targets. The dynamics of gene regulation is thus dependent on the local architecture of the gene regulatory network (GRN) around the miRNA and its targets. piRNAs had been classically known to regulate transposons in the germ cells. However, piRNAs have been, recently, found to be expressed in the brain and possibly function by imparting epigenetic changes by DNA methylation. piRNAs are known to be maternally inherited and we assume that they may play a role in early development. We also explore the possible function of piRNAs in regulating the expansion of transposons in the brain. Brain is known to express several lncRNA but functional roles in brain development are attributed to a few lncRNA while functions of most of the them remain unknown. We review the roles of some known lncRNA and explore the other possible functions of lncRNAs including their interaction with miRNAs.&lt;/p&gt;</style></abstract><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">5.67
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Iyengar, Bharat Ravi</style></author><author><style face="normal" font="default" size="100%">Pillai, Beena</style></author><author><style face="normal" font="default" size="100%">Venkatesh, K. V.</style></author><author><style face="normal" font="default" size="100%">Gadgil, Chetan J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Systematic comparison of the response properties of protein and RNA mediated gene regulatory motifs</style></title><secondary-title><style face="normal" font="default" size="100%">Molecular BioSystems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">13  </style></volume><pages><style face="normal" font="default" size="100%">1235-1245</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a framework enabling the dissection of the effects of motif structure (feedback or feedforward), the nature of the controller (RNA or protein), and the regulation mode (transcriptional, post-transcriptional or translational) on the response to a step change in the input. We have used a common model framework for gene expression where both motif structures have an activating input and repressing regulator, with the same set of parameters, to enable a comparison of the responses. We studied the global sensitivity of the system properties, such as steady-state gain, overshoot, peak time, and peak duration, to parameters. We find that, in all motifs, overshoot correlated negatively whereas peak duration varied concavely with peak time. Differences in the other system properties were found to be mainly dependent on the nature of the controller rather than the motif structure. Protein mediated motifs showed a higher degree of adaptation i.e. a tendency to return to baseline levels; in particular, feedforward motifs exhibited perfect adaptation. RNA mediated motifs had a mild regulatory effect; they also exhibited a lower peaking tendency and mean overshoot. Protein mediated feedforward motifs showed higher overshoot and lower peak time compared to the corresponding feedback motifs.</style></abstract><issue><style face="normal" font="default" size="100%">6 </style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">2.759</style></custom4></record></records></xml>