Protein-protein interaction analysis for functional characterization of helicases.

Helicases are enzymes involved in nucleic acid metabolism, playing major roles in replication, transcription, and repair. Defining helicases oligomerization state and transient and persistent protein interactions is essential for understanding of their function. In this article we review current methods for the protein-protein interaction analysis, and discuss examples of its application to the study of helicases: Pif1 and DDX3. Proteomics methods are our main focus - affinity pull-downs and chemical cross-linking followed by mass spectrometry. We review advantages and limitations of these methods and provide general guidelines for their implementation in the functional analysis of helicases.

[1]  Y Xu,et al.  Minimum spanning trees for gene expression data clustering. , 2001, Genome informatics. International Conference on Genome Informatics.

[2]  S. Harding,et al.  Insight into protein-protein interactions from analytical ultracentrifugation. , 2010, Biochemical Society transactions.

[3]  J. Diffley,et al.  Recruitment of Mcm10 to Sites of Replication Initiation Requires Direct Binding to the Minichromosome Maintenance (MCM) Complex* , 2015, The Journal of Biological Chemistry.

[4]  Stephen C Alley,et al.  Identification and mapping of protein-protein interactions by a combination of cross-linking, cleavage, and proteomics. , 2005, Bioconjugate chemistry.

[5]  M. Washburn,et al.  Mass Spectrometry‐based Methods of Proteome Analysis , 2006 .

[6]  U. Dietrich,et al.  A Motif Unique to the Human Dead-Box Protein DDX3 Is Important for Nucleic Acid Binding, ATP Hydrolysis, RNA/DNA Unwinding and HIV-1 Replication , 2011, PloS one.

[7]  Frank Emmert-Streib,et al.  Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets , 2013, Bioinform..

[8]  C. Cameron,et al.  RNA unwinding activity of the hepatitis C virus NS3 helicase is modulated by the NS5B polymerase. , 2008, Biochemistry.

[9]  V. Raman,et al.  DDX3, a potential target for cancer treatment , 2015, Molecular Cancer.

[10]  Sylvie Lalonde,et al.  Molecular and cellular approaches for the detection of protein-protein interactions: latest techniques and current limitations. , 2008, The Plant journal : for cell and molecular biology.

[11]  Zhiling Yu,et al.  Pairwise interactions of the six human MCM protein subunits. , 2004, Journal of molecular biology.

[12]  M. Botchan,et al.  Isolation of the Cdc45/Mcm2–7/GINS (CMG) complex, a candidate for the eukaryotic DNA replication fork helicase , 2006, Proceedings of the National Academy of Sciences.

[13]  Jianmin Wu,et al.  PINA v2.0: mining interactome modules , 2011, Nucleic Acids Res..

[14]  I. Lemmens,et al.  Mammalian two-hybrids come of age. , 2009, Trends in biochemical sciences.

[15]  Mihaela E. Sardiu,et al.  Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics , 2008, Proceedings of the National Academy of Sciences.

[16]  S. Kowalczykowski,et al.  Pif1 family helicases suppress genome instability at G-quadruplex motifs , 2013, Nature.

[17]  J. Ranish,et al.  An Integrated Chemical Cross-linking and Mass Spectrometry Approach to Study Protein Complex Architecture and Function* , 2011, Molecular & Cellular Proteomics.

[18]  Christine Vogel,et al.  Comprehensive Protein Interactome Analysis of a Key RNA Helicase: Detection of Novel Stress Granule Proteins , 2015, Biomolecules.

[19]  Y. Wu Lee,et al.  Critical roles of RNA helicase DDX3 and its interactions with eIF4E/PABP1 in stress granule assembly and stress response. , 2012, The Biochemical journal.

[20]  G. Bowman,et al.  Formation of a Trimeric Xpo1-Ran[GTP]-Ded1 Exportin Complex Modulates ATPase and Helicase Activities of Ded1 , 2015, PloS one.

[21]  A. Shimamoto,et al.  Mitochondrial and nuclear localization of human Pif1 helicase. , 2007, Biological & pharmaceutical bulletin.

[22]  A. Tackett,et al.  Physical and functional interaction between yeast Pif1 helicase and Rim1 single-stranded DNA binding protein , 2012, Nucleic acids research.

[23]  Davide Heller,et al.  STRING v10: protein–protein interaction networks, integrated over the tree of life , 2014, Nucleic Acids Res..

[24]  Yan Jin,et al.  cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks , 2015, BMC Systems Biology.

[25]  S. H. Mahboobi,et al.  The Interaction of RNA Helicase DDX3 with HIV-1 Rev-CRM1-RanGTP Complex during the HIV Replication Cycle , 2015, PloS one.

[26]  Yi Liang,et al.  Applications of isothermal titration calorimetry in protein science. , 2008, Acta biochimica et biophysica Sinica.

[27]  M. Washburn,et al.  Quantitative shotgun proteomics using a protease with broad specificity and normalized spectral abundance factors. , 2007, Molecular bioSystems.

[28]  Ronald J. Moore,et al.  Identification of cross-linked peptides after click-based enrichment using sequential collision-induced dissociation and electron transfer dissociation tandem mass spectrometry. , 2009, Analytical chemistry.

[29]  B. Chait,et al.  I-DIRT, a general method for distinguishing between specific and nonspecific protein interactions. , 2005, Journal of proteome research.

[30]  D. Wigley,et al.  Structure and mechanism of helicases and nucleic acid translocases. , 2007, Annual review of biochemistry.

[31]  B. Chait,et al.  The architecture of a eukaryotic replisome , 2015, Nature Structural &Molecular Biology.

[32]  S. Lee,et al.  The DEAD‐box RNA helicase DDX3 interacts with DDX5, co‐localizes with it in the cytoplasm during the G2/M phase of the cycle, and affects its shuttling during mRNP export , 2012, Journal of cellular biochemistry.

[33]  Zhi-Ren Liu,et al.  The ATPase, RNA Unwinding, and RNA Binding Activities of Recombinant p68 RNA Helicase* , 2002, The Journal of Biological Chemistry.

[34]  C. Bucci,et al.  Two-hybrid-based systems: powerful tools for investigation of membrane traffic machineries. , 2015, Journal of biotechnology.

[35]  G. Friso,et al.  Large Scale Comparative Proteomics of a Chloroplast Clp Protease Mutant Reveals Folding Stress, Altered Protein Homeostasis, and Feedback Regulation of Metabolism* , 2009, Molecular & Cellular Proteomics.

[36]  Anthony Barsic,et al.  ATPase-Modulated Stress Granules Contain a Diverse Proteome and Substructure , 2016, Cell.

[37]  J. H. Collins,et al.  Characterization of zero-length cross-links between rabbit skeletal muscle troponin C and troponin I: evidence for direct interaction between the inhibitory region of troponin I and the NH2-terminal, regulatory domain of troponin C. , 1990, Biochemistry.

[38]  Gary D. Bader,et al.  Cytoscape Web: an interactive web-based network browser , 2010, Bioinform..

[39]  Ian M. Donaldson,et al.  iRefScape. A Cytoscape plug-in for visualization and data mining of protein interaction data from iRefIndex , 2011, BMC Bioinformatics.

[40]  E. Jankowsky,et al.  The Ded1/DDX3 subfamily of DEAD-box RNA helicases , 2014, Critical reviews in biochemistry and molecular biology.

[41]  B. Tye,et al.  Structure of the eukaryotic MCM complex at 3.8 Å , 2015, Nature.

[42]  Ian M. Donaldson,et al.  iRefIndex: A consolidated protein interaction database with provenance , 2008, BMC Bioinformatics.

[43]  Mihaela E. Sardiu,et al.  Highly Reproducible Label Free Quantitative Proteomic Analysis of RNA Polymerase Complexes* , 2010, Molecular & Cellular Proteomics.

[44]  Ying Xu,et al.  Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees , 2002, Bioinform..

[45]  G. Glazko,et al.  Analysis of Protein-protein Interaction Interface between Yeast Mitochondrial Proteins Rim1 and Pif1 Using Chemical Cross-linking Mass Spectrometry. , 2015, Journal of proteomics & bioinformatics.

[46]  F. Boisvert,et al.  Quantitative Proteomics Reveals Dynamic Interactions of the Minichromosome Maintenance Complex (MCM) in the Cellular Response to Etoposide Induced DNA Damage* , 2015, Molecular & Cellular Proteomics.

[47]  Jonathan H. Chan,et al.  Enhancing Biological Relevance of a Weighted Gene Co-Expression Network for Functional Module Identification , 2011, J. Bioinform. Comput. Biol..

[48]  P. V. van Diest,et al.  Identification of the DEAD box RNA helicase DDX3 as a therapeutic target in colorectal cancer , 2015, Oncotarget.

[49]  G. Glazko,et al.  Large Scale Chemical Cross-linking Mass Spectrometry Perspectives , 2013, Journal of proteomics & bioinformatics.

[50]  F. Fuller-Pace The DEAD box proteins DDX5 (p68) and DDX17 (p72): multi-tasking transcriptional regulators. , 2013, Biochimica et biophysica acta.

[51]  C. Cameron,et al.  NS3 Helicase from the Hepatitis C Virus Can Function as a Monomer or Oligomer Depending on Enzyme and Substrate Concentrations* , 2009, Journal of Biological Chemistry.