Literature DB >> 25478971

Sparse and incomplete factorial matrices to screen membrane protein 2D crystallization.

R Lasala1, N Coudray1, A Abdine2, Z Zhang1, M Lopez-Redondo3, R Kirshenbaum2, J Alexopoulos3, Z Zolnai4, D L Stokes5, I Ubarretxena-Belandia6.   

Abstract

Electron crystallography is well suited for studying the structure of membrane proteins in their native lipid bilayer environment. This technique relies on electron cryomicroscopy of two-dimensional (2D) crystals, grown generally by reconstitution of purified membrane proteins into proteoliposomes under conditions favoring the formation of well-ordered lattices. Growing these crystals presents one of the major hurdles in the application of this technique. To identify conditions favoring crystallization a wide range of factors that can lead to a vast matrix of possible reagent combinations must be screened. However, in 2D crystallization these factors have traditionally been surveyed in a relatively limited fashion. To address this problem we carried out a detailed analysis of published 2D crystallization conditions for 12 β-barrel and 138 α-helical membrane proteins. From this analysis we identified the most successful conditions and applied them in the design of new sparse and incomplete factorial matrices to screen membrane protein 2D crystallization. Using these matrices we have run 19 crystallization screens for 16 different membrane proteins totaling over 1300 individual crystallization conditions. Six membrane proteins have yielded diffracting 2D crystals suitable for structure determination, indicating that these new matrices show promise to accelerate the success rate of membrane protein 2D crystallization.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  96-well format; Electron cryomicroscopy; Electron crystallography; High-throughput screening; Membrane protein; Membrane protein reconstitution; Two-dimensional (2D) crystal

Mesh:

Substances:

Year:  2014        PMID: 25478971      PMCID: PMC4419781          DOI: 10.1016/j.jsb.2014.11.008

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  70 in total

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