Evidence map›Paper›PMID 28447263›Full record

ArticleMolecular biotechnology2017

Design of a Lentiviral Vector for the Inducible Expression of MYC: A New Strategy for Construction Approach.

Onur Tokgun, Francesco Paolo Fiorentino, Pervin Elvan Tokgun, Jun Yokota, Hakan Akca

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Onur TokgunDepartment of Medical Biology, Pamukkale University School of Medicine, Denizli, Turkey.
Francesco Paolo FiorentinoKitos Biotech srls, Porto Conte Ricerche, 07041, Alghero, Italy.
Pervin Elvan TokgunDepartment of Medical Biology, Pamukkale University School of Medicine, Denizli, Turkey.
Jun YokotaGenomics and Epigenomics of Cancer Prediction Program, Institut d'Investigació Germans Trias i Pujol (IGTP), Campus Can Ruti, Barcelona, Spain.
Hakan AkcaDepartment of Medical Biology, Pamukkale University School of Medicine, Denizli, Turkey. hakca@pau.edu.tr.
Pamukkale University · TRUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Blotting, WesternCell Line, TumorDNA, ComplementaryGenetic VectorsHumansLentivirusReal-Time Polymerase Chain ReactionDNA, ComplementaryDoxInducible vectorLentivirusMCSMycSCLC

Identifiers

PMID28447263
OpenAlexW2608150314

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.