Literature DB >> 23332693

Expression of GPCRs in Pichia pastoris for structural studies.

Christoph Krettler1, Christoph Reinhart, Carville G Bevans.   

Abstract

Recent success in obtaining high-resolution structural data for the first several G protein-coupled receptors (GPCRs) has highlighted the feasibility of structural membrane proteomics approaches for obtaining molecular models of additional GPCRs from among the nearly 800 encoded by the human genome. Yet, production of functional receptors, in general, has proven to be difficult, typically requiring considerable time and cost investments. Here we describe screening, optimization, and scale-up methods we successfully used to produce milligram amounts of functional GPCRs in Pichia pastoris. When we surveyed a large number of receptors recombinantly produced in Pichia, 85% exhibited specific ligand binding, strongly suggesting that this expression system is excellent for producing functional GPCRs. Of the latter group, 20 were optimized according to our protocol. Of these, we produced 10 as milligram amounts of functional receptors using large-scale shaker culture. Cost and time expenditures were considerably lower using the Pichia system than for other successfully employed cell culture systems.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23332693     DOI: 10.1016/B978-0-12-391861-1.00001-0

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  3 in total

Review 1.  GPCR drug discovery: integrating solution NMR data with crystal and cryo-EM structures.

Authors:  Ichio Shimada; Takumi Ueda; Yutaka Kofuku; Matthew T Eddy; Kurt Wüthrich
Journal:  Nat Rev Drug Discov       Date:  2018-11-09       Impact factor: 84.694

2.  Expression and Purification of Yeast-derived GPCR, Gα and Gβγ Subunits for Structural and Dynamic Studies.

Authors:  Wenjie Zhao; Xudong Wang; Libin Ye
Journal:  Bio Protoc       Date:  2021-02-20

3.  A Pichia biosensor for high-throughput analyses of compounds that can influence mosquito behavior.

Authors:  Julia Nogueira Varela; Vikramaditya G Yadav
Journal:  Microbiologyopen       Date:  2020-12-02       Impact factor: 3.904

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.