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Updated: Jun 4, 2026

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

Mutation detection in plasmid-based biopharmaceuticals.

Pedro H Oliveira¹, Kristala L J Prather, Duarte M F Prazeres

¹Institute for Biotechnology and Bioengineering, Center for Biological and Chemical Engineering, Instituto Superior Técnico, Lisbon, Portugal. pcoliveira@ist.utl.pt

Biotechnology Journal

|February 18, 2011

Summary

This summary is machine-generated.

High-quality assays are crucial for therapeutic plasmid DNA (pDNA) quality control. This review covers bioinformatic tools and mutation detection techniques for identifying genetic variants and ensuring pDNA stability.

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Homemade Site Directed Mutagenesis of Whole Plasmids

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Last Updated: Jun 4, 2026

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

Homemade Site Directed Mutagenesis of Whole Plasmids

Homemade Site Directed Mutagenesis of Whole Plasmids

Published on: May 11, 2009

Area of Science:

Biotechnology
Molecular Biology
Bioinformatics

Background:

Therapeutic plasmid DNA (pDNA) applications are expanding globally.
Ensuring the quality and stability of pDNA is critical for biopharmaceutical development.
Current quality control methods require enhancement for efficiency and sensitivity.

Purpose of the Study:

To review bioinformatic tools for detecting unstable DNA regions.
To highlight mutation detection techniques for nucleic acids, focusing on pDNA.
To address the need for advanced technologies in pDNA quality control.

Main Methods:

Bioinformatic analysis for *ab initio* detection of DNA instability.
Review of nucleic acid mutation detection techniques.
Emphasis on methods applicable to plasmid DNA.

Main Results:

Identification of various bioinformatic tools for assessing DNA stability.
Overview of sensitive techniques for mutation detection in nucleic acids.
Discussion of challenges and advancements in pDNA analysis.

Conclusions:

There is a growing need for efficient, cost-effective, and sensitive technologies for pDNA quality control.
Bioinformatic tools and advanced mutation detection methods are essential for establishing pDNA identity and stability.
Further development in these areas will support the expanding field of plasmid-based biopharmaceuticals.