| Title |
Immortalization of pig fibroblast cells by transposon-mediated ectopic expression of porcine telomerase reverse transcriptase
|
|---|---|
| Published in |
Methods in Cell Science, September 2015
|
| DOI | 10.1007/s10616-015-9903-8 |
| Pubmed ID | |
| Authors |
Shan He, Yangyang Li, Yang Chen, Yue Zhu, Xinyu Zhang, Xiaoli Xia, Huaichang Sun |
| Abstract |
Pigs are the most economically important livestock, but pig cell lines useful for physiological studies and/or vaccine development are limited. Although several pig cell lines have been generated by oncogene transformation or human telomerase reverse transcriptase (TERT) immortalization, these cell lines contain viral sequences and/or antibiotic resistance genes. In this study, we established a new method for generating pig cell lines using the Sleeping Beauty (SB) transposon-mediated ectopic expression of porcine telomerase reverse transcriptase (pTERT). The performance of the new method was confirmed by generating a pig fibroblast cell (PFC) line. After transfection of primary PFCs with the SB transposon system, one cell clone containing the pTERT expression cassette was selected by dilution cloning and passed for different generations. After passage for more than 40 generations, the cell line retained stable expression of ectopic pTERT and continuous growth potential. Further characterization showed that the cell line kept the fibroblast morphology, growth curve, population doubling time, cloning efficiency, marker gene expression pattern, cell cycle distribution and anchorage-dependent growth property of the primary cells. These data suggest that the new method established is useful for generating pig cell lines without viral sequence and antibiotic resistant gene. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 5 | 28% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 33% |
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Medicine and Dentistry | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Methods in Cell Science
#908
of 1,026 outputs
Outputs of similar age
#238,138
of 277,644 outputs
Outputs of similar age from Methods in Cell Science
#13
of 15 outputs
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