Literature DB >> 21624446

The study on venom proteins of Lapemis hardwickii by cDNA phage display.

Taochao Tan1, Xi Xiang, Hong Qu, Shenggeng Zhu, Qun Bi.   

Abstract

In this study, a cDNA T7 phage display library was constructed from sea snake Lapemis hardwickii venom gland mRNA to analyze the components in venom and find new toxins. All the venom gland cDNA-encoding proteins, including housekeeping proteins and venom proteins were expressed on the surface of bacteriophage T7. This library was then panned with rabbit anti-sea snake venom IgG. Phage particles displaying venom-components with interaction with the antibodies were enriched. Thus, phage-carrying venom proteins, such as short chain neurotoxin, long chain neurotoxin, PLA2-like toxin, and c-type lectin-like protein were found, some of them were never reported previously. Four different short chain neurotoxins (SNT-1, 2, 3, 4) were cloned and expressed in Escherichia coli. The LD(50) and analgesic activities of their purified forms were determined. Their structure-function relationship were studied with the aid of a toxin-nAChR complex model constructed by ourselves. Among them, SNT-4 was a new neurotoxin identified in this study and showed potential as pain killer. These results prove that cDNA phage display technique has great advantage than traditional cDNA library method because of the linkage between phenotype and genotype of phage, which provided an effective means to study unknown proteins with target functions.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21624446     DOI: 10.1016/j.toxlet.2011.05.1028

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  2 in total

Review 1.  Interaction analysis through proteomic phage display.

Authors:  Gustav N Sundell; Ylva Ivarsson
Journal:  Biomed Res Int       Date:  2014-09-11       Impact factor: 3.411

2.  The Venom of the Spine-Bellied Sea Snake (Hydrophis curtus): Proteome, Toxin Diversity and Intraspecific Variation.

Authors:  Vanessa Neale; Javier Sotillo; Jamie E Seymour; David Wilson
Journal:  Int J Mol Sci       Date:  2017-12-12       Impact factor: 5.923

  2 in total

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