| Title |
Design of a Lentiviral Vector for the Inducible Expression of MYC: A New Strategy for Construction Approach
|
|---|---|
| Published in |
Molecular Biotechnology, April 2017
|
| DOI | 10.1007/s12033-017-0006-y |
| Pubmed ID | |
| Authors |
Onur Tokgun, Francesco Paolo Fiorentino, Pervin Elvan Tokgun, Jun Yokota, Hakan Akca |
| Abstract |
Lentiviral vectors are powerful tools for gene expression studies. Here we report the construction of pTIJ, a vector for inducible gene expression. pTIJ was generated from pTRIPZ backbone, which is designed for the inducible expression of shRNA sequences, by the introducing of a multiple cloning site upstream of the Tet promoter and the removal of miR30 flanking sequences. To evaluate pTIJ as a tool for the inducible expression of genes of interest, we introduced MYC cDNA into pTIJ and infected two small cell lung cancer cell lines, H209 and H345. Induction of MYC expression by doxycycline was detectable in both cell lines by real-time PCR and western blot analysis. This study highlights the relevance of pTIJ vector to allow the inducible expression of any gene of interest. In our belief, pTIJ will be an extremely useful tool to simplify the generation of genetically engineered cell lines for the inducible expression of cDNA sequences in biological studies. Furthermore, we report the generation of a pTIJ-MYC vector for the inducible expression of the oncogene MYC. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 50% |
| Student > Master | 3 | 38% |
| Student > Postgraduate | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 38% |
| Agricultural and Biological Sciences | 3 | 38% |
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
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 28 April 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from Molecular Biotechnology
#746
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Outputs of similar age
#235,315
of 309,828 outputs
Outputs of similar age from Molecular Biotechnology
#6
of 8 outputs
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