Literature DB >> 23906346

A time-resolved fluorescence resonance energy transfer assay for high-throughput screening of 14-3-3 protein-protein interaction inhibitors.

Yuhong Du1, Robert W Fu, Bin Lou, Jing Zhao, Min Qui, Fadlo R Khuri, Haian Fu.   

Abstract

Protein-protein interaction networks mediate diverse biological processes by regulating various signaling hubs and clusters. 14-3-3 proteins, a family of phosphoserine/threonine-binding molecules, serve as major interaction hubs in eukaryotic cells and have emerged as promising therapeutic targets for various human diseases. In order to identify chemical probes for mechanistic studies and for potential therapeutic development, we have developed highly sensitive bioassays to monitor the interaction of 14-3-3 with a client protein. In this study, we describe a homogenous time-resolved fluorescence resonance energy transfer (TR-FRET) assay to detect the interaction of 14-3-3 with Bad, a proapoptotic member of the Bcl-2 family. Through a series of titration studies in which europium-labeled 14-3-3 serves as an FRET donor and a Dy647-labeled phosphorylated Bad, the peptide acts as an FRET acceptor, we have achieved a robust TR-FRET assay that is suitable for high-throughput screening (HTS) with an excellent signal-to-background ratio of >20 and Z' values >0.7. This assay was further miniaturized to a 1,536-well format for ultra-HTS (uHTS), and exhibited a similar robust performance. The utility and performance of the assay for uHTS were validated by (i) known inhibitors, including peptide R18 and small molecule FOBISIN101, and (ii) screening of a 51,200 compound library. This simple and robust assay is generally applicable to detect the interaction of 14-3-3 with other client proteins. It provides a sensitive and easy-to-use tool to facilitate the discovery of 14-3-3 protein inhibitors as well as to study 14-3-3-mediated protein-protein interactions.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23906346      PMCID: PMC3751221          DOI: 10.1089/adt.2013.507

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  40 in total

1.  Isolation of high-affinity peptide antagonists of 14-3-3 proteins by phage display.

Authors:  B Wang; H Yang; Y C Liu; T Jelinek; L Zhang; E Ruoslahti; H Fu
Journal:  Biochemistry       Date:  1999-09-21       Impact factor: 3.162

2.  Functional conservation of 14-3-3 isoforms in inhibiting bad-induced apoptosis.

Authors:  R R Subramanian; S C Masters; H Zhang; H Fu
Journal:  Exp Cell Res       Date:  2001-11-15       Impact factor: 3.905

3.  14-3-3 proteins mediate an essential anti-apoptotic signal.

Authors:  S C Masters; H Fu
Journal:  J Biol Chem       Date:  2001-09-27       Impact factor: 5.157

4.  Comparison of assay technologies for a nuclear receptor assay screen reveals differences in the sets of identified functional antagonists.

Authors:  Xiang Wu; J Fraser Glickman; Benjamin R Bowen; Matthew A Sills
Journal:  J Biomol Screen       Date:  2003-08

5.  Identification of the first non-peptidic small molecule inhibitor of the c-Abl/14-3-3 protein-protein interactions able to drive sensitive and Imatinib-resistant leukemia cells to apoptosis.

Authors:  Valentina Corradi; Manuela Mancini; Fabrizio Manetti; Sara Petta; Maria Alessandra Santucci; Maurizio Botta
Journal:  Bioorg Med Chem Lett       Date:  2010-08-08       Impact factor: 2.823

6.  Small-molecule modulators of 14-3-3 protein-protein interactions.

Authors:  Christian Ottmann
Journal:  Bioorg Med Chem       Date:  2012-12-01       Impact factor: 3.641

7.  Suppression of apoptosis signal-regulating kinase 1-induced cell death by 14-3-3 proteins.

Authors:  L Zhang; J Chen; H Fu
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

8.  Proteomic, functional, and domain-based analysis of in vivo 14-3-3 binding proteins involved in cytoskeletal regulation and cellular organization.

Authors:  Jing Jin; F Donelson Smith; Chris Stark; Clark D Wells; James P Fawcett; Sarang Kulkarni; Pavel Metalnikov; Paul O'Donnell; Paul Taylor; Lorne Taylor; Alexandre Zougman; James R Woodgett; Lorene K Langeberg; John D Scott; Tony Pawson
Journal:  Curr Biol       Date:  2004-08-24       Impact factor: 10.834

9.  The eukaryotic host factor that activates exoenzyme S of Pseudomonas aeruginosa is a member of the 14-3-3 protein family.

Authors:  H Fu; J Coburn; R J Collier
Journal:  Proc Natl Acad Sci U S A       Date:  1993-03-15       Impact factor: 11.205

10.  Profiling the NIH Small Molecule Repository for compounds that generate H2O2 by redox cycling in reducing environments.

Authors:  Karina M Soares; Nicole Blackmon; Tong Ying Shun; Sunita N Shinde; Harold K Takyi; Peter Wipf; John S Lazo; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2010-04       Impact factor: 1.738

View more
  10 in total

1.  Cables1 complex couples survival signaling to the cell death machinery.

Authors:  Zhi Shi; Hae Ryon Park; Yuhong Du; Zijian Li; Kejun Cheng; Shi-Yong Sun; Zenggang Li; Haian Fu; Fadlo R Khuri
Journal:  Cancer Res       Date:  2014-10-31       Impact factor: 12.701

2.  AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation Assay.

Authors:  Xiulei Mo; Qi Qi; Andrei A Ivanov; Qiankun Niu; Yin Luo; Jonathan Havel; Russell Goetze; Sydney Bell; Carlos S Moreno; Lee A D Cooper; Margaret A Johns; Fadlo R Khuri; Yuhong Du; Haian Fu
Journal:  Mol Pharmacol       Date:  2017-01-13       Impact factor: 4.436

3.  Stress induces p38 MAPK-mediated phosphorylation and inhibition of Drosha-dependent cell survival.

Authors:  Qian Yang; Wenming Li; Hua She; Juan Dou; Duc M Duong; Yuhong Du; Shao-Hua Yang; Nicholas T Seyfried; Haian Fu; Guodong Gao; Zixu Mao
Journal:  Mol Cell       Date:  2015-02-19       Impact factor: 17.970

4.  Histone deacetylase 6 (HDAC6) promotes the pro-survival activity of 14-3-3ζ via deacetylation of lysines within the 14-3-3ζ binding pocket.

Authors:  Jeffrey B Mortenson; Lisa N Heppler; Courtney J Banks; Vajira K Weerasekara; Matthew D Whited; Stephen R Piccolo; William E Johnson; J Will Thompson; Joshua L Andersen
Journal:  J Biol Chem       Date:  2015-03-13       Impact factor: 5.157

5.  Quantitative high-throughput screening assays for the discovery and development of SIRPα-CD47 interaction inhibitors.

Authors:  Thomas W Miller; Joshua D Amason; Elsa D Garcin; Laurence Lamy; Patricia K Dranchak; Ryan Macarthur; John Braisted; Jeffrey S Rubin; Teresa L Burgess; Catherine L Farrell; David D Roberts; James Inglese
Journal:  PLoS One       Date:  2019-07-05       Impact factor: 3.240

Review 6.  Current Experimental Methods for Characterizing Protein-Protein Interactions.

Authors:  Mi Zhou; Qing Li; Renxiao Wang
Journal:  ChemMedChem       Date:  2016-02-11       Impact factor: 3.466

7.  Identification of Compounds That Interfere with High-Throughput Screening Assay Technologies.

Authors:  Laurianne David; Jarrod Walsh; Noé Sturm; Isabella Feierberg; J Willem M Nissink; Hongming Chen; Jürgen Bajorath; Ola Engkvist
Journal:  ChemMedChem       Date:  2019-09-19       Impact factor: 3.466

8.  A time-resolved fluorescence resonance energy transfer screening assay for discovery of protein-protein interaction modulators.

Authors:  Cong Tang; Qiankun Niu; Danielle Cicka; Yuhong Du; Xiulei Mo; Haian Fu
Journal:  STAR Protoc       Date:  2021-09-08

Review 9.  Abrogating the Interaction Between p53 and Mortalin (Grp75/HSPA9/mtHsp70) for Cancer Therapy: The Story so far.

Authors:  Ahmed Elwakeel
Journal:  Front Cell Dev Biol       Date:  2022-04-14

10.  Screening for protein-protein interactions using Förster resonance energy transfer (FRET) and fluorescence lifetime imaging microscopy (FLIM).

Authors:  Anca Margineanu; Jia Jia Chan; Douglas J Kelly; Sean C Warren; Delphine Flatters; Sunil Kumar; Matilda Katan; Christopher W Dunsby; Paul M W French
Journal:  Sci Rep       Date:  2016-06-24       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.