BIROn - Birkbeck Institutional Research Online

    Combinatorial domain hunting: an effective approach for the identification of soluble protein domains adaptable to high-throughput applications

    Reich, S. and Puckey, L.H. and Cheetham, C.L. and Harris, R. and Ali, A.A. and Bhattacharyya, U. and Maclagan, K. and Powell, K.A. and Prodromou, C. and Pearl, L.H. and Driscoll, P.C. and Savva, Renos (2006) Combinatorial domain hunting: an effective approach for the identification of soluble protein domains adaptable to high-throughput applications. Protein Science 15 (10), pp. 2356-2365. ISSN 0961-8368.

    Full text not available from this repository.

    Abstract

    Exploitation of potential new targets for drug and vaccine development has an absolute requirement for multimilligram quantities of soluble protein. While recombinant expression of full‐length proteins is frequently problematic, high‐yield soluble expression of functional subconstructs is an effective alternative, so long as appropriate termini can be identified. Bioinformatics localizes domains, but doesn't predict boundaries with sufficient accuracy, so that subconstructs are typically found by trial and error. Combinatorial Domain Hunting (CDH) is a technology for discovering soluble, highly expressed constructs of target proteins. CDH combines unbiased, finely sampled gene‐fragment libraries, with a screening protocol that provides “holistic” readout of solubility and yield for thousands of protein fragments. CDH is free of the “passenger solubilization” and out‐of‐frame translational start artifacts of fusion‐protein systems, and hits are ready for scale‐up expression. As a proof of principle, we applied CDH to p85α, successfully identifying soluble and highly expressed constructs encapsulating all the known globular domains, and immediately suitable for downstream applications.

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences
    Research Centres and Institutes: Innovation Management Research, Birkbeck Centre for
    Depositing User: Sarah Hall
    Date Deposited: 14 May 2019 10:26
    Last Modified: 02 Aug 2023 17:51
    URI: https://eprints.bbk.ac.uk/id/eprint/27519

    Statistics

    Activity Overview
    6 month trend
    0Downloads
    6 month trend
    264Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item