Literature DB >> 23623854

A statistical approach for optimization of RANKL overexpression in Escherichia coli: purification and characterization of the protein.

Christos P Papaneophytou1, Vagelis Rinotas, Eleni Douni, George Kontopidis.   

Abstract

Receptor activator of nuclear factor-κB (RANK) and its cognate ligand (RANKL) is a member of the TNF superfamily of cytokines which is essential in osteobiology and its overexpression has been implicated in the pathogenesis of bone degenerative diseases such as osteoporosis. Therefore, RANKL is considered a major therapeutic target for the suppression of bone resorption in bone metabolic diseases such as rheumatoid arthritis and cancer metastasis. To evaluate the inhibitory effect of potential RANKL inhibitors a sufficient amount of protein is required. In this work RANKL was cloned for expression at high levels in Escherichia coli with the interaction of changing cultures conditions in order to produce the protein in a soluble form. In an initial step, the effect of expression host on soluble protein production was investigated and BL21(DE3) pLysS was the most efficient one found for the production of RANKL. Central composite design experiment in the following revealed that cell density before induction, IPTG concentration, post-induction temperature and time as well as their interactions had a significant influence on soluble RANKL production. An 80% increase of protein production was achieved after the determination of the optimum induction conditions: OD600nm before induction 0.55, an IPTG concentration of 0.3mM, a post-induction temperature of 25°C and a post-induction time of 6.5h. Following RANKL purification the thermal stability of the protein was studied. The interaction of RANKL with SPD304, a patented small-molecule inhibitor of TNF-α, was also studied in a fluorescence binding assay resulting in a Kd value of 14.1 ± 0.5 μM.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2013        PMID: 23623854     DOI: 10.1016/j.pep.2013.04.005

Source DB:  PubMed          Journal:  Protein Expr Purif        ISSN: 1046-5928            Impact factor:   1.650


  12 in total

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2.  Optimization of Soluble Expression and Purification of Recombinant Human Rhinovirus Type-14 3C Protease Using Statistically Designed Experiments: Isolation and Characterization of the Enzyme.

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Review 3.  Design of Experiments As a Tool for Optimization in Recombinant Protein Biotechnology: From Constructs to Crystals.

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Journal:  Mol Biotechnol       Date:  2019-12       Impact factor: 2.695

4.  PERISCOPE-Opt: Machine learning-based prediction of optimal fermentation conditions and yields of recombinant periplasmic protein expressed in Escherichia coli.

Authors:  Kulandai Arockia Rajesh Packiam; Chien Wei Ooi; Fuyi Li; Shutao Mei; Beng Ti Tey; Huey Fang Ong; Jiangning Song; Ramakrishnan Nagasundara Ramanan
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5.  Cheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL).

Authors:  Georgia Melagraki; Evangelos Ntougkos; Vagelis Rinotas; Christos Papaneophytou; Georgios Leonis; Thomas Mavromoustakos; George Kontopidis; Eleni Douni; Antreas Afantitis; George Kollias
Journal:  PLoS Comput Biol       Date:  2017-04-20       Impact factor: 4.475

6.  Optimization of rPDT fusion protein expression by Escherichia coli in pilot scale fermentation: a statistical experimental design approach.

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7.  Exploring codon optimization and response surface methodology to express biologically active transmembrane RANKL in E. coli.

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Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

8.  Improved Production of Recombinant Human β-NGF in Escherichia coli - a Bioreactor Scale Study.

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Review 9.  The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production.

Authors:  Albert Uhoraningoga; Gemma K Kinsella; Gary T Henehan; Barry J Ryan
Journal:  Bioengineering (Basel)       Date:  2018-10-19

10.  Optimization and scale-up production of Zika virus ΔNS1 in Escherichia coli: application of Response Surface Methodology.

Authors:  Alex Issamu Kanno; Luciana Cezar de Cerqueira Leite; Lennon Ramos Pereira; Mônica Josiane Rodrigues de Jesus; Robert Andreata-Santos; Rúbens Prince Dos Santos Alves; Edison Luiz Durigon; Luís Carlos de Souza Ferreira; Viviane Maimoni Gonçalves
Journal:  AMB Express       Date:  2019-12-31       Impact factor: 3.298

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