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Biochim Biophys Acta,
2018]
As a master regulator of transcription by RNA polymerase (Pol) III, Maf1 represses the synthesis of highly abundant non-coding RNAs as anabolic signals dissipate, as the quality or quantity of nutrients decreases, and under a wide range of cellular and environmental stress conditions. Thus, Maf1 responds to changes in cell physiology to conserve metabolic energy and to help maintain appropriate levels of tRNAs and other essential non-coding RNAs. Studies in different model organisms and cell-based systems show that perturbations of Maf1 can also impact cell physiology and metabolism. These effects are mediated by changes in Pol III transcription and/or by effects of Maf1 on the expression of select Pol II-transcribed genes. Maf1 phenotypes can vary between different systems and are sometimes conflicting as in comparisons between Maf1 KO mice and cultured mammalian cells. These studies are reviewed in an effort to better appreciate the relationship between Maf1 function and cell physiology. This article is part of a Special Issue entitled: SI: Regulation of tRNA synthesis and modification in physiological conditions and disease edited by Dr. Boguta Magdalena.
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J Neural Eng,
2016]
OBJECTIVE: In light of recent progress in mapping neural function to behavior, we briefly and selectively review past and present endeavors to reveal and reconstruct nervous system function in Caenorhabditis elegans through simulation. APPROACH: Rather than presenting an all-encompassing review on the mathematical modeling of C. elegans, this contribution collects snapshots of pathfinding key works and emerging technologies that recent single- and multi-center simulation initiatives are building on. We thereby point out a few general limitations and problems that these undertakings are faced with and discuss how these may be addressed and overcome. MAIN RESULTS: Lessons learned from past and current computational approaches to deciphering and reconstructing information flow in the C. elegans nervous system corroborate the need of refining neural response models and linking them to intra- and extra-environmental interactions to better reflect and understand the actual biological, biochemical and biophysical events that lead to behavior. Together with single-center research efforts, the Si elegans and OpenWorm projects aim at providing the required, in some cases complementary tools for different hardware architectures to support advancement into this direction. SIGNIFICANCE: Despite its seeming simplicity, the nervous system of the hermaphroditic nematode C. elegans with just 302 neurons gives rise to a rich behavioral repertoire. Besides controlling vital functions (feeding, defecation, reproduction), it encodes different stimuli-induced as well as autonomous locomotion modalities (crawling, swimming and jumping). For this dichotomy between system simplicity and behavioral complexity, C. elegans has challenged neurobiologists and computational scientists alike. Understanding the underlying mechanisms that lead to a context-modulated functionality of individual neurons would not only advance our knowledge on nervous system function and its failure in pathological states, but have directly exploitable benefits for robotics and the engineering of brain-mimetic computational architectures that are orthogonal to current von-Neumann-type machines.