Proximity biotinylation and affinity purification are complementary approaches for the interactome mapping of chromatin-associated protein complexes.

UNLABELLED Mapping protein-protein interactions for chromatin-associated proteins remains challenging. Here we explore the use of BioID, a proximity biotinylation approach in which a mutated biotin ligase (BirA*) is fused to a bait of interest, allowing for the local activation of biotin and subsequent biotinylation of proteins in the bait vicinity. BioID allowed for successful interactome mapping of core histones and members of the mediator complex. We explored the background signal produced by the BioID approach and found that using distinct types of controls increased the stringency of our statistical analysis with SAINTexpress. A direct comparison of BioID with our AP-MS protocol optimized for chromatin-associated protein complexes revealed that the approaches identified few shared interaction partners and enriched for distinct biological processes; yet, both approaches permitted the recovery of biologically meaningful interactions. While no clear bias could be observed for either technique toward protein complexes of particular functions, BioID allowed for the purification of proteins of lower cellular abundance. Finally, we were able to identify a strong association of MED4 with the centrosome by BioID and validated this finding by immunofluorescence. In summary, BioID complements AP-MS for the study of chromatin-associated protein complexes. BIOLOGICAL SIGNIFICANCE This manuscript describes the application of BioID, a proximity biotinylation approach, to chromatin-associated proteins, namely core histones and members of the mediator complex. We observed that BioID was successful at identifying known interaction partners for the baits tested, but also allowed novel putative interaction partners to be identified. By performing a detailed comparison of BioID versus a standard method for interactome mapping (affinity purification coupled to mass spectrometry, AP-MS), we show that the approaches were complementary, allowing for purification of different interaction partners. These interaction partners were different in the biological processes they are associated with, but also in their abundance. BioID represents a significant technical development in the field of chromatin research by expanding the search space for interactome mapping beyond what is possible with AP-MS. This article is part of a Special Issue entitled: Protein dynamics in health and disease. Guest Editors: Pierre Thibault and Anne-Claude Gingras.

[1]  Hyungwon Choi,et al.  Modularity and hormone sensitivity of the Drosophila melanogaster insulin receptor/target of rapamycin interaction proteome , 2011, Molecular systems biology.

[2]  Thomas M Green,et al.  A public genome-scale lentiviral expression library of human ORFs , 2011, Nature Methods.

[3]  R. Durbin,et al.  Systematic Analysis of Human Protein Complexes Identifies Chromosome Segregation Proteins , 2010, Science.

[4]  C. Napoli,et al.  Involvement of Mediator complex in malignancy. , 2014, Biochimica et biophysica acta.

[5]  A. Barabasi,et al.  An empirical framework for binary interactome mapping , 2008, Nature Methods.

[6]  C. Tomomori-Sato,et al.  A conserved Mediator–CDK8 kinase module association regulates Mediator–RNA polymerase II interaction , 2013, Nature Structural &Molecular Biology.

[7]  Natalie I. Tasman,et al.  A guided tour of the Trans‐Proteomic Pipeline , 2010, Proteomics.

[8]  R. Aebersold,et al.  Joining Forces: Integrating Proteomics and Cross-linking with the Mass Spectrometry of Intact Complexes* , 2011, Molecular & Cellular Proteomics.

[9]  B. Snel,et al.  Comparative assessment of large-scale data sets of protein–protein interactions , 2002, Nature.

[10]  L. Pelletier,et al.  CEP120 and SPICE1 Cooperate with CPAP in Centriole Elongation , 2013, Current Biology.

[11]  Guomin Liu,et al.  A web‐tool for visualizing quantitative protein–protein interaction data , 2015, Proteomics.

[12]  K. Gould,et al.  A Highly Efficient Multifunctional Tandem Affinity Purification Approach Applicable to Diverse Organisms* , 2012, Molecular & Cellular Proteomics.

[13]  Amber L. Couzens,et al.  The CRAPome: a Contaminant Repository for Affinity Purification Mass Spectrometry Data , 2013, Nature Methods.

[14]  V. Doye,et al.  Probing nuclear pore complex architecture with proximity-dependent biotinylation , 2014, Proceedings of the National Academy of Sciences.

[15]  Brian Burke,et al.  A promiscuous biotin ligase fusion protein identifies proximal and interacting proteins in mammalian cells , 2012, The Journal of cell biology.

[16]  Amber L. Couzens,et al.  Mass spectrometry approaches to study mammalian kinase and phosphatase associated proteins. , 2012, Methods.

[17]  Natalie I. Tasman,et al.  iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* , 2011, Molecular & Cellular Proteomics.

[18]  A. Gingras,et al.  Mapping physical interactions within chromatin by proteomic approaches , 2012, Proteomics.

[19]  A. Gingras,et al.  Beyond hairballs: The use of quantitative mass spectrometry data to understand protein–protein interactions , 2012, FEBS letters.

[20]  A. Heck,et al.  Quantitative mass spectrometry of TATA binding protein-containing complexes and subunit phosphorylations during the cell cycle , 2009, Proteome Science.

[21]  C. von Mering,et al.  PaxDb, a Database of Protein Abundance Averages Across All Three Domains of Life , 2012, Molecular & Cellular Proteomics.

[22]  Anne-Claude Gingras,et al.  A Lentiviral Functional Proteomics Approach Identifies Chromatin Remodeling Complexes Important for the Induction of Pluripotency* , 2010, Molecular & Cellular Proteomics.

[23]  D. Figeys,et al.  A Novel Proteomics Approach for the Discovery of Chromatin-associated Protein Networks*S , 2009, Molecular & Cellular Proteomics.

[24]  D. Beckett,et al.  Function of a conserved sequence motif in biotin holoenzyme synthetases , 2000, Protein science : a publication of the Protein Society.

[25]  Tony Pawson,et al.  ProHits: an integrated software platform for mass spectrometry-based interaction proteomics , 2010, Nature Biotechnology.

[26]  J. Rothberg,et al.  Gaining confidence in high-throughput protein interaction networks , 2004, Nature Biotechnology.

[27]  M. Tyers,et al.  BoxPlotR: a web tool for generation of box plots , 2014, Nature Methods.

[28]  G. Almouzni,et al.  Histone chaperones, a supporting role in the limelight. , 2004, Biochimica et biophysica acta.

[29]  Andrei L. Turinsky,et al.  Human-chromatin-related protein interactions identify a demethylase complex required for chromosome segregation. , 2014, Cell reports.

[30]  J. Greenblatt,et al.  Molecular Systems Biology 6; Article number 448; doi:10.1038/msb.2010.104 Citation: Molecular Systems Biology 6:448 , 2022 .

[31]  Guomin Liu,et al.  SAINTexpress: improvements and additional features in Significance Analysis of INTeractome software. , 2014, Journal of proteomics.

[32]  Tony Pawson,et al.  Protein Interaction Network of the Mammalian Hippo Pathway Reveals Mechanisms of Kinase-Phosphatase Interactions , 2013, Science Signaling.

[33]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[34]  A. Gingras,et al.  Incorporating DNA shearing in standard affinity purification allows simultaneous identification of both soluble and chromatin-bound interaction partners. , 2014, Journal of proteomics.

[35]  Tony Pawson,et al.  OpenFreezer: a reagent information management software system , 2011, Nature Methods.

[36]  J. Raff,et al.  Centrioles, Centrosomes, and Cilia in Health and Disease , 2009, Cell.

[37]  K. Djinović-Carugo,et al.  Novel Bilobe Components in Trypanosoma brucei Identified Using Proximity-Dependent Biotinylation , 2012, Eukaryotic Cell.

[38]  J. Yates,et al.  Proximity Interactions among Centrosome Components Identify Regulators of Centriole Duplication , 2014, Current Biology.

[39]  R. Conaway,et al.  The Mediator complex and transcription elongation. , 2013, Biochimica et biophysica acta.

[40]  J. Rogers,et al.  hORFeome v3.1: A resource of human open reading frames representing over 10,000 human genes , 2007, Genomics.

[41]  Michel Bornens,et al.  The Centrosome in Cells and Organisms , 2012, Science.