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      Rethinking gene regulatory networks in light of alternative splicing, intrinsically disordered protein domains, and post-translational modifications

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          Abstract

          Models for genetic regulation and cell fate specification characteristically assume that gene regulatory networks (GRNs) are essentially deterministic and exhibit multiple stable states specifying alternative, but pre-figured cell fates. Mounting evidence shows, however, that most eukaryotic precursor RNAs undergo alternative splicing (AS) and that the majority of transcription factors contain intrinsically disordered protein (IDP) domains whose functionalities are context dependent as well as subject to post-translational modification (PTM). Consequently, many transcription factors do not have fixed cis-acting regulatory targets, and developmental determination by GRNs alone is untenable. Modeling these phenomena requires a multi-scale approach to explain how GRNs operationally interact with the intra- and intercellular environments. Evidence shows that AS, IDP, and PTM complicate gene expression and act synergistically to facilitate and promote time- and cell-specific protein modifications involved in cell signaling and cell fate specification and thereby disrupt a strict deterministic GRN-phenotype mapping. The combined effects of AS, IDP, and PTM give proteomes physiological plasticity, adaptive responsiveness, and developmental versatility without inefficiently expanding genome size. They also help us understand how protein functionalities can undergo major evolutionary changes by buffering mutational consequences.

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          Understanding alternative splicing: towards a cellular code.

          In violation of the 'one gene, one polypeptide' rule, alternative splicing allows individual genes to produce multiple protein isoforms - thereby playing a central part in generating complex proteomes. Alternative splicing also has a largely hidden function in quantitative gene control, by targeting RNAs for nonsense-mediated decay. Traditional gene-by-gene investigations of alternative splicing mechanisms are now being complemented by global approaches. These promise to reveal details of the nature and operation of cellular codes that are constituted by combinations of regulatory elements in pre-mRNA substrates and by cellular complements of splicing regulators, which together determine regulated splicing pathways.
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            Wnt signaling: a common theme in animal development.

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              Understanding protein non-folding.

              This review describes the family of intrinsically disordered proteins, members of which fail to form rigid 3-D structures under physiological conditions, either along their entire lengths or only in localized regions. Instead, these intriguing proteins/regions exist as dynamic ensembles within which atom positions and backbone Ramachandran angles exhibit extreme temporal fluctuations without specific equilibrium values. Many of these intrinsically disordered proteins are known to carry out important biological functions which, in fact, depend on the absence of a specific 3-D structure. The existence of such proteins does not fit the prevailing structure-function paradigm, which states that a unique 3-D structure is a prerequisite to function. Thus, the protein structure-function paradigm has to be expanded to include intrinsically disordered proteins and alternative relationships among protein sequence, structure, and function. This shift in the paradigm represents a major breakthrough for biochemistry, biophysics and molecular biology, as it opens new levels of understanding with regard to the complex life of proteins. This review will try to answer the following questions: how were intrinsically disordered proteins discovered? Why don't these proteins fold? What is so special about intrinsic disorder? What are the functional advantages of disordered proteins/regions? What is the functional repertoire of these proteins? What are the relationships between intrinsically disordered proteins and human diseases? Copyright 2010 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Cell Dev Biol
                Front Cell Dev Biol
                Front. Cell Dev. Biol.
                Frontiers in Cell and Developmental Biology
                Frontiers Media S.A.
                2296-634X
                26 February 2015
                2015
                : 3
                : 8
                Affiliations
                [1] 1Plant Biology Section, School of Integrative Plant Science, Cornell University Ithaca, NY, USA
                [2] 2Department of Molecular and Cellular Medicine, Texas A&M Health Science Center College Station, TX, USA
                [3] 3Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, IN, USA
                [4] 4Department of Cell Biology and Anatomy, New York Medical College Valhalla, NY, USA
                Author notes

                Edited by: David Ellard Keith Ferrier, University of St Andrews, UK

                Reviewed by: Markus Friedrich, Wayne State University, USA; Gunter P. Wagner, Yale University, USA

                *Correspondence: Karl J. Niklas, Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853-5908, USA e-mail: kjn2@ 123456cornell.edu

                This article was submitted to Evolutionary Developmental Biology, a section of the journal Frontiers in Cell and Developmental Biology.

                Article
                10.3389/fcell.2015.00008
                4341551
                25767796
                2377961d-5fbe-4120-a938-d6c8abda2395
                Copyright © 2015 Niklas, Bondos, Dunker and Newman.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 December 2014
                : 26 January 2015
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 151, Pages: 13, Words: 11951
                Categories
                Ecology and Evolution
                Hypothesis and Theory Article

                cell fate specification,combinatorial transcription regulation,eukaryotes,evolution,development,gene regulatory networks,multi-stable dynamical systems,protein structure

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