Evidence map›Paper›PMID 16724096›Full record

ArticleGene therapy2006

Optimization of the Tet-On system for regulated gene expression through viral evolution.

X Zhou, M Vink, B Klaver, B Berkhout, A T Das

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Article in Gene therapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed
–field-weighted citation impact
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

128 citing papers in PubMed.

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  14. Context-dependent Interactors Regulate TDP-43 Dysfunction in ALS/FTLD.bioRxiv : the preprint server for biology · 2025
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68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

X ZhouDepartment of Human Retrovirology, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands.
M Vink
B Klaver
B Berkhout
A T Das

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to control (trans)gene expression is important both for basic biological research and applications such as gene therapy. In vivo use of the inducible tetracycline (Tc)-regulated gene expression system (Tet-On system) is limited by its low sensitivity for the effector doxycycline (dox). We used viral evolution to optimize this Escherichia coli-derived regulatory system for its function in mammalian cells. The components of the Tet-On system (the transcriptional activator rtTA and its tetO DNA binding site) were incorporated into the human immunodeficiency virus (HIV)-1 genome to control viral replication. Prolonged culturing of this HIV-rtTA virus resulted in virus variants that acquired mutations in the rtTA gene. Some of these mutations enhance the transcriptional activity and dox-sensitivity of the rtTA protein. This improvement was observed with different tetO-containing promoters and was independent of the episomal or chromosomal status of the target gene. Combination of these beneficial mutations resulted in greatly improved rtTA variants that are seven-fold more active and 100-fold more dox-sensitive than the original Tet-On system. Furthermore, some of the new Tet-On systems are responsive to Tc and minocycline. Importantly, these rtTA variants show no activity in the absence of dox. The optimized rtTA variants are particularly useful for in vivo applications that require a more sensitive or more active Tet-On system.

Indexed as

Biological EvolutionAnti-Bacterial AgentsBlotting, WesternCell LineCloning, MolecularCombined Modality TherapyDNADoxycyclineEscherichia coliGene ExpressionGene Expression Regulation, ViralGenetic EngineeringGenetic TherapyHeLa CellsHIV-1HumansAnti-Bacterial AgentsDNADoxycyclineProteinsreducing agent and tunicamycin-responsive protein, humanTetracyclineTrans-Activators

Identifiers

PMID16724096

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.