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Biotechnology Journal
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Biotechnology Journal
Article
License: CC BY
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Determination of the Selection Capacity of Antibiotics for Gene Selection

Authors: Iris, Delrue; Qiubao, Pan; Anna K, Baczmanska; Bram W, Callens; Lia L M, Verdoodt;

Determination of the Selection Capacity of Antibiotics for Gene Selection

Abstract

Choosing a potent selection antibiotic (SA), is a crucial success factor when creating stably transfected cell lines using an antibiotic selection marker. The selection capacity of this antibiotic is defined as its ability to kill sensitive, untransfected parental cells, while leaving resistant, transfected cells unharmed. Currently, no procedure has been described to determine this selection capacity. Therefore, a protocol to obtain a numerical value, called the “selectivity factor” (SF), that defines the selection capacity of SAs is developed. The SF is determined by using a modified MTT (3‐(4,5‐dimethylthiazol‐2‐yl)‐diphenyltetrazolium bromide) assay for both sensitive and resistant cells, and applies to commonly used cell lines. To prove the concept, the SF of the SA G418 and hygromycin B (HmB) on several cell lines is determined. The SF of G418 on BHK‐21 cells is very high, indicating that G418 is an ideal SA for transfected BHK‐21 cells. For HeLa cells, the SF of G418 is very low suggesting G418 is not an optimal SA for selecting transfected HeLa cells. For these cells, HmB would be a better choice. These conclusions are confirmed by an independent cell death assay. The SF identifies the most optimal SA for a certain cell line, reduces the risk of selecting spontaneously resistant cell clones, and streamlines the process of generating stable cell lines. Most importantly, the method is especially time saving when obtaining stable cell lines expressing toxic genes, and reduces culture times for generating large numbers of cell lines from the same parental cell line.

Keywords

Genetic Vectors, Cell Culture Techniques, Tetrazolium Salts, Cell Count, Transfection, Anti-Bacterial Agents, Thiazoles, Genetic Techniques, Linear Models, Humans, HeLa Cells

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
hybrid