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Recombinant DNA

Recombinant DNA

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Updated: Nov 12, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

TISIGNER.com: web services for improving recombinant protein production.

Bikash K Bhandari¹, Chun Shen Lim¹, Paul P Gardner^1,2

¹Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin 9054, New Zealand.

Nucleic Acids Research

|March 21, 2021

Summary

This summary is machine-generated.

Accurate prediction algorithms can reduce recombinant protein production failures. TISIGNER offers web services for optimizing protein expression, solubility, and signal peptide analysis, addressing key production challenges.

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Last Updated: Nov 12, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Author Spotlight: The Production of Recombinant Proteins

Author Spotlight: The Production of Recombinant Proteins

Published on: June 30, 2023

Recombinant Protein Expression for Structural Biology in HEK 293F Suspension Cells: A Novel and Accessible Approach

Recombinant Protein Expression for Structural Biology in HEK 293F Suspension Cells: A Novel and Accessible Approach

Published on: October 16, 2014

Area of Science:

Biotechnology
Molecular Biology
Bioinformatics

Background:

Recombinant protein production is crucial for therapeutics and research.
Technical challenges frequently lead to low yields and poor protein quality.
Accurate predictive algorithms are needed to optimize protein expression.

Purpose of the Study:

To develop and offer integrated web services for optimizing recombinant protein production.
To address challenges in synonymous codon optimization, protein solubility, and signal peptide analysis.
To provide a user-friendly platform for researchers to improve protein expression.

Main Methods:

Development of three specialized web services: TISigner, SoDoPE, and Razor.
TISigner focuses on synonymous codon optimization for translation initiation.
SoDoPE aids in designing soluble protein expression domains.
Razor analyzes signal peptides for protein secretion and targeting.

Main Results:

TISigner, SoDoPE, and Razor are integrated, allowing seamless switching between tools.
The linked services enable comprehensive optimization of genes for recombinant protein production.
The platform aims to mitigate common failures in protein expression experiments.

Conclusions:

TISIGNER provides a valuable, integrated solution for optimizing recombinant protein production.
The web services address critical technical hurdles, improving experimental success rates.
This toolset empowers researchers to enhance protein expression, solubility, and targeting.