Literature DB >> 29436782

Determination of the Selection Capacity of Antibiotics for Gene Selection.

Iris Delrue1, Qiubao Pan2, Anna K Baczmanska1, Bram W Callens1, Lia L M Verdoodt3.   

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.
© 2018 TOKU-E. Biotechnology Journal Published by Published by Wiley-VCH Verlag GmbH & Co. KGaA.

Entities:  

Keywords:  MTT; antibiotics; cell line development; gene selection; selectivity factor

Mesh:

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Year:  2018        PMID: 29436782     DOI: 10.1002/biot.201700747

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  4 in total

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Authors:  Taghavi M; Parham A; Dehghani H; Naderi-Meshkin H
Journal:  Arch Razi Inst       Date:  2021-11-30

2.  High Expression of RING Finger Protein 126 Predicts Unfavorable Prognosis of Epithelial Ovarian Cancer.

Authors:  Chuanjiang Wang; Aiping Wen; Jing Qiao; Yujuan Liu; Yuanyuan Guo; Wenxia Wang
Journal:  Med Sci Monit       Date:  2020-04-07

3.  Transfection types, methods and strategies: a technical review.

Authors:  Zhi Xiong Chong; Swee Keong Yeap; Wan Yong Ho
Journal:  PeerJ       Date:  2021-04-21       Impact factor: 2.984

4.  Detailed Protocol for the Novel and Scalable Viral Vector Upstream Process for AAV Gene Therapy Manufacturing.

Authors:  Nagarathinam Selvaraj; Chao-Kuei Wang; Brian Bowser; Trevor Broadt; Samir Shaban; Jenna Burns; Nirmala Saptharishi; Peter Pechan; Diane Golebiowski; Asaf Alimardanov; Nora Yang; George Mitra; Ramarao Vepachedu
Journal:  Hum Gene Ther       Date:  2021-03-30       Impact factor: 4.793

  4 in total

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