English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Economical analysis of saturation mutagenesis experiments

MPS-Authors
/persons/resource/persons132851

Acevedo-Rocha,  Carlos G.
Research Department Reetz, Max-Planck-Institut für Kohlenforschung, Max Planck Society;
Philipps-Universität Marburg, Fachbereich Chemie;
Max Planck Inst Terr Mikrobiol, Prokaryot Small RNA Biol Grp, D-35043 Marburg, Germany;
Univ Marburg, Landes Offens Entwicklung Wissensch Okon Exzellen, D-35032 Marburg, Germany;

/persons/resource/persons58919

Reetz,  Manfred T.
Research Department Reetz, Max-Planck-Institut für Kohlenforschung, Max Planck Society;
Philipps-Universität Marburg, Fachbereich Chemie;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Acevedo-Rocha, C. G., Reetz, M. T., & Nov, Y. (2015). Economical analysis of saturation mutagenesis experiments. Scientific Reports, 5, 10654. doi:10.1038/srep10654.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-2288-0
Abstract
Saturation mutagenesis is a powerful technique for engineering proteins, metabolic pathways and genomes. In spite of its numerous applications, creating high-quality saturation mutagenesis libraries remains a challenge, as various experimental parameters influence in a complex manner the resulting diversity. We explore from the economical perspective various aspects of saturation mutagenesis library preparation: We introduce a cheaper and faster control for assessing library quality based on liquid media; analyze the role of primer purity and supplier in libraries with and without redundancy; compare library quality, yield, randomization efficiency, and annealing bias using traditional and emergent randomization schemes based on mixtures of mutagenic primers; and establish a methodology for choosing the most cost-effective randomization scheme given the screening costs and other experimental parameters. We show that by carefully considering these parameters, laboratory expenses can be significantly reduced.