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A novel microseeding method for the crystallization of membrane proteins in lipidic cubic phase.
Kolek, Stefan Andrew; Bräuning, Bastian; Stewart, Patrick Douglas Shaw.
Affiliation
  • Kolek SA; Douglas Instruments Ltd, East Garston, Hungerford RG17 7HD, England.
  • Bräuning B; Department of Chemistry, Technische Universität München, Lichtenbergstrasse 4, 85748 Garching, Germany.
  • Stewart PD; Douglas Instruments Ltd, East Garston, Hungerford RG17 7HD, England.
Acta Crystallogr F Struct Biol Commun ; 72(Pt 4): 307-12, 2016 Apr.
Article in En | MEDLINE | ID: mdl-27050265
ABSTRACT
Random microseed matrix screening (rMMS), in which seed crystals are added to random crystallization screens, is an important breakthrough in soluble protein crystallization that increases the number of crystallization hits that are available for optimization. This greatly increases the number of soluble protein structures generated every year by typical structural biology laboratories. Inspired by this success, rMMS has been adapted to the crystallization of membrane proteins, making LCP seed stock by scaling up LCP crystallization conditions without changing the physical and chemical parameters that are critical for crystallization. Seed crystals are grown directly in LCP and, as with conventional rMMS, a seeding experiment is combined with an additive experiment. The new method was used with the bacterial integral membrane protein OmpF, and it was found that it increased the number of crystallization hits by almost an order of magnitude without microseeding one new hit was found, whereas with LCP-rMMS eight new hits were found. It is anticipated that this new method will lead to better diffracting crystals of membrane proteins. A method of generating seed gradients, which allows the LCP seed stock to be diluted and the number of crystals in each LCP bolus to be reduced, if required for optimization, is also demonstrated.
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Full text: 1 Database: MEDLINE Main subject: Lipids / Membrane Proteins Language: En Year: 2016 Type: Article

Full text: 1 Database: MEDLINE Main subject: Lipids / Membrane Proteins Language: En Year: 2016 Type: Article