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Exploring codon optimization and response surface methodology to express biologically active transmembrane RANKL in

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Researchers optimized the expression of transmembrane receptor activator of nuclear factor kappa-B ligand (RANKL) in E. coli. The soluble transmembrane RANKL showed higher biological activity than its extracellular form, advancing osteoclast research.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cell Biology

Background:

  • Receptor activator of nuclear factor (NF)-κB ligand (RANKL) is crucial for osteoclast function.
  • Studies have primarily used extracellular RANKL due to challenges in expressing the transmembrane form.
  • High-level expression of functional transmembrane RANKL (mRANKL) is needed for comprehensive research.

Purpose of the Study:

  • To optimize the soluble expression of functional transmembrane RANKL (mRANKL) in E. coli.
  • To characterize the biological activity of soluble mRANKL.
  • To compare the functional properties of transmembrane and extracellular RANKL.

Main Methods:

  • Codon optimization of the mRANKL sequence for E. coli.
  • Response surface methodology and central composite design to optimize expression conditions.
  • Purification of mRANKL and confirmation of its trimeric form.
  • Functional assays including tartrate-resistant acid phosphatase and qPCR to assess osteoclastogenesis.

Main Results:

  • Codon optimization improved the codon adaptation index from 0.64 to 0.76.
  • Optimized conditions (0.6 OD600, 7.5 mM lactose, 26°C, 5 h) yielded 52.4 mg/L of fusion mRANKL.
  • Purified mRANKL confirmed to exist in a trimeric form.
  • mRANKL demonstrated significant biological activity in inducing osteoclast formation.
  • Biological activity of mRANKL was found to be higher than its extracellular counterpart.

Conclusions:

  • Successful heterologous expression of soluble mRANKL in E. coli was achieved.
  • The study provides a method for producing functional mRANKL.
  • Soluble mRANKL exhibits greater biological activity than extracellular RANKL, offering new insights into RANKL function.