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One-step immortalization of primary human airway epithelial cells capable of oncogenic transformation

Overview of attention for article published in Cell & Bioscience, November 2016
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Title
One-step immortalization of primary human airway epithelial cells capable of oncogenic transformation
Published in
Cell & Bioscience, November 2016
DOI 10.1186/s13578-016-0122-6
Pubmed ID
Authors

Jordan L. Smith, Liam C. Lee, Abigail Read, Qiuning Li, Bing Yu, Chih-Shia Lee, Ji Luo

Abstract

The ability to transform normal human cells into cancer cells with the introduction of defined genetic alterations is a valuable method for understanding the mechanisms of oncogenesis. Easy establishment of immortalized but non-transformed human cells from various tissues would facilitate these genetic analyses. We report here a simple, one-step immortalization method that involves retroviral vector mediated co-expression of the human telomerase protein and a shRNA targeting the CDKN2A gene locus. We demonstrate that this method could successfully immortalize human small airway epithelial cells while maintaining their chromosomal stability. We further showed that these cells retain p53 activity and can be transformed by the KRAS oncogene. Our method simplifies the immortalization process and is broadly applicable for establishing immortalized epithelial cell lines from primary human tissues for cancer research.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Bachelor 5 21%
Researcher 4 17%
Student > Master 3 13%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 58%
Agricultural and Biological Sciences 2 8%
Immunology and Microbiology 2 8%
Medicine and Dentistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 4 17%