Protein-protein interaction assays: eliminating false positive interactions

被引:72
|
作者
Nguyen, TN [1 ]
Goodrich, JA [1 ]
机构
[1] Univ Colorado, Dept Chem & Biochem, Boulder, CO 80309 USA
关键词
D O I
10.1038/nmeth0206-135
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Many methods commonly used to identify and characterize interactions between two or more proteins are variations of the immobilized protein-protein interaction assay (for example, glutathione S-transferase (GST) pulldown and coimmunoprecipitation). A potential, and often overlooked, problem with these assays is the possibility that an observed interaction is mediated not by direct contact between proteins, but instead by nucleic acid contaminating the protein preparations. As a negatively charged polymer, nucleic acid (often cellular RNA) can adhere to basic surfaces on proteins, and thereby mediate interactions between an immobilized bait protein and a target protein. The contaminating nucleic acid may cause a false positive result in protein-protein interaction assays or may contribute to general background. Alternatively, in relatively rare cases, the presence of nonspecific nucleic acid can inhibit protein-protein interaction. In general, contaminating nucleic acid can be especially problematic with proteins under study that naturally bind RNA or DNA (for example, transcription factors), although nucleic acid can mediate apparent protein-protein interactions in other systems as welt. A simple and convenient method for decreasing false positives and background owing to contaminating nucleic acid is to treat the protein preparations with micrococcal nucleasel. Micrococcal nuclease (also known as S7 nuclease) cleaves single- and double-stranded DNA and RNA with no sequence specificity. This protocol describes a GST pulldown assay that incorporates micrococcal nuclease treatment of both the immobilized GST-bait protein and the target protein preparations. The strategy can be adapted easily to proteins with other tags and immobilized using other methods. The target protein can be derived from many different sources-for example, a cell extract containing a native protein of interest; a recombinant protein expressed in Escherichia coli, insect cells or mammalian cells; a protein produced in an in vitro translation system; or a highly purified protein. The steps required to treat protein preparations with micrococcal nuclease are straightforward and can be incorporated into any immobilized protein-protein interaction assay.
引用
收藏
页码:135 / 139
页数:5
相关论文
共 50 条
  • [31] Inferring protein-protein interactions using interaction network topologies
    Paccanaro, A
    Trifonov, V
    Yu, HY
    Gerstein, M
    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLS 1-5, 2005, : 161 - 166
  • [32] Specificity of molecular interactions in transient protein-protein interaction interfaces
    Cho, Kyu-il
    Lee, KiYoung
    Lee, Kwang H.
    Kim, Dongsup
    Lee, Doheon
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2006, 65 (03) : 593 - 606
  • [33] Detecting Mutually Exclusive Interactions in Protein-Protein Interaction Maps
    Claros, Carmen Sanchez
    Tramontano, Anna
    PLOS ONE, 2012, 7 (06):
  • [34] Protein-protein interaction
    Nestor, NB
    Karam, GA
    LC GC NORTH AMERICA, 2005, : 32 - 32
  • [35] Genetic assays to define and characterize protein-protein interactions involved in gene regulation
    Nickels, Bryce E.
    METHODS, 2009, 47 (01) : 53 - 62
  • [36] PROTEIN-PROTEIN INTERACTION
    JURNAK, F
    NATURE, 1994, 372 (6505) : 409 - 410
  • [37] Kinetics of protein-protein interactions of connexins: Use of enzyme linked sorbent assays
    Duffy, HS
    O'Donnell, P
    Coombs, W
    Taffet, SM
    Delmar, M
    Spray, DC
    CELL COMMUNICATION AND ADHESION, 2003, 10 (4-6): : 207 - 210
  • [38] Yeast-based assays for detecting protein-protein/drug interactions and their inhibitors
    Moosavi, Behrooz
    Mousavi, Bibimaryam
    Yang, Wen-Chao
    Yang, Guang-Fu
    EUROPEAN JOURNAL OF CELL BIOLOGY, 2017, 96 (06) : 529 - 541
  • [39] Predicting False Positives of Protein-Protein Interaction Data by Semantic Similarity Measures
    Montanez, George
    Cho, Young-Rae
    CURRENT BIOINFORMATICS, 2013, 8 (03) : 339 - 346
  • [40] Prediction of Protein-Protein Interactions Related to Protein Complexes Based on Protein Interaction Networks
    Liu, Peng
    Yang, Lei
    Shi, Daming
    Tang, Xianglong
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015