caa a22 4500 606174648 CHVBK 20210128100739.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00018-014-1661-9 doi (NATIONALLICENCE)springer-10.1007/s00018-014-1661-9 Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life [Elektronische Daten] [Zhenling Peng, Jing Yan, Xiao Fan, Marcin Mizianty, Bin Xue, Kui Wang, Gang Hu, Vladimir Uversky, Lukasz Kurgan] Recent years witnessed increased interest in intrinsically disordered proteins and regions. These proteins and regions are abundant and possess unique structural features and a broad functional repertoire that complements ordered proteins. However, modern studies on the abundance and functions of intrinsically disordered proteins and regions are relatively limited in size and scope of their analysis. To fill this gap, we performed a broad and detailed computational analysis of over 6 million proteins from 59 archaea, 471 bacterial, 110 eukaryotic and 325 viral proteomes. We used arguably more accurate consensus-based disorder predictions, and for the first time comprehensively characterized intrinsic disorder at proteomic and protein levels from all significant perspectives, including abundance, cellular localization, functional roles, evolution, and impact on structural coverage. We show that intrinsic disorder is more abundant and has a unique profile in eukaryotes. We map disorder into archaea, bacterial and eukaryotic cells, and demonstrate that it is preferentially located in some cellular compartments. Functional analysis that considers over 1,200 annotations shows that certain functions are exclusively implemented by intrinsically disordered proteins and regions, and that some of them are specific to certain domains of life. We reveal that disordered regions are often targets for various post-translational modifications, but primarily in the eukaryotes and viruses. Using a phylogenetic tree for 14 eukaryotic and 112 bacterial species, we analyzed relations between disorder, sequence conservation and evolutionary speed. We provide a complete analysis that clearly shows that intrinsic disorder is exceptionally and uniquely abundant in each domain of life. Springer Basel, 2014 Intrinsic disorder nationallicence Intrinsically disordered proteins nationallicence Intrinsically disordered regions nationallicence Cellular localization nationallicence Post-translational modifications nationallicence Evolutionary speed nationallicence Peng Zhenling Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut Yan Jing Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut Fan Xiao Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut Mizianty Marcin Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut Xue Bin Department of Cell Biology, Microbiology and Molecular Biology, College of Fine Arts and Sciences, University of South Florida, 33612, Tampa, USA aut Wang Kui School of Mathematical Sciences and LPMC, Nankai University, Tianjin, People's Republic of China aut Hu Gang School of Mathematical Sciences and LPMC, Nankai University, Tianjin, People's Republic of China aut Uversky Vladimir Department of Molecular Medicine, Byrd Alzheimer's Research Institute, College of Medicine, University of South Florida, 33612, Tampa, USA aut Kurgan Lukasz Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut Cellular and Molecular Life Sciences Springer Basel 72/1(2015-01-01), 137-151 1420-682X 72:1<137 2015 72 18 https://doi.org/10.1007/s00018-014-1661-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00018-014-1661-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Peng Zhenling Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut NATIONALLICENCE 700 1- Yan Jing Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut NATIONALLICENCE 700 1- Fan Xiao Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut NATIONALLICENCE 700 1- Mizianty Marcin Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut NATIONALLICENCE 700 1- Xue Bin Department of Cell Biology, Microbiology and Molecular Biology, College of Fine Arts and Sciences, University of South Florida, 33612, Tampa, USA aut NATIONALLICENCE 700 1- Wang Kui School of Mathematical Sciences and LPMC, Nankai University, Tianjin, People's Republic of China aut NATIONALLICENCE 700 1- Hu Gang School of Mathematical Sciences and LPMC, Nankai University, Tianjin, People's Republic of China aut NATIONALLICENCE 700 1- Uversky Vladimir Department of Molecular Medicine, Byrd Alzheimer's Research Institute, College of Medicine, University of South Florida, 33612, Tampa, USA aut NATIONALLICENCE 700 1- Kurgan Lukasz Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada aut NATIONALLICENCE 773 0- Cellular and Molecular Life Sciences Springer Basel 72/1(2015-01-01), 137-151 1420-682X 72:1<137 2015 72 18