Abstract

The NUDIX enzymes are involved in cellular metabolism and homeostasis, as well as mRNA processing. Although highly conserved throughout all organisms, their biological roles and biochemical redundancies remain largely unclear. To address this, we globally resolve their individual properties and inter-relationships. We purify 18 of the human NUDIX proteins and screen 52 substrates, providing a substrate redundancy map. Using crystal structures, we generate sequence alignment analyses revealing four major structural classes. To a certain extent, their substrate preference redundancies correlate with structural classes, thus linking structure and activity relationships. To elucidate interdependence among the NUDIX hydrolases, we pairwise deplete them generating an epistatic interaction map, evaluate cell cycle perturbations upon knockdown in normal and cancer cells, and analyse their protein and mRNA expression in normal and cancer tissues. Using a novel FUSION algorithm, we integrate all data creating a comprehensive NUDIX enzyme profile map, which will prove fundamental to understanding their biological functionality.

Details

Title
A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family
Author
Carreras-Puigvert, Jordi 1 ; Zitnik, Marinka 2 ; Ann-Sofie Jemth 1 ; Carter, Megan 3 ; Unterlass, Judith E 1 ; Hallström, Björn 4 ; Loseva, Olga 1 ; Zhir Karem 1 ; Calderón-Montaño, José Manuel 1 ; Lindskog, Cecilia 5 ; Per-Henrik Edqvist 5 ; Matuszewski, Damian J 6 ; Hammou Ait Blal 4 ; Berntsson, Ronnie P A 3   VIAFID ORCID Logo  ; Häggblad, Maria 7 ; Martens, Ulf 7 ; Studham, Matthew 8 ; Lundgren, Bo 7 ; Wählby, Carolina 6 ; Sonnhammer, Erik L L 8 ; Lundberg, Emma 4 ; Stenmark, Pål 3 ; Zupan, Blaz 9 ; Helleday, Thomas 1 

 Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden 
 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia; Department of Computer Science, Stanford University, Palo Alto, CA, USA 
 Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden 
 Cell Profiling—Affinity Proteomics, Science for Life Laboratory, KTH—Royal Institute of Technology, Stockholm, Sweden 
 Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala, Sweden 
 Centre for Image Analysis and Science for Life Laboratory, Uppsala University, Uppsala, Sweden 
 Biochemical and Cellular Screening Facility, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden 
 Stockholm Bioinformatics Center, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden 
 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA 
Pages
1-17
Publication year
2017
Publication date
Nov 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1983429354
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.