Evidence map›Paper›PMID 21344611›Full record

ArticleGenesis (New York, N.Y. : 2000)2011

One-step knockin for inducible expression in mouse embryonic stem cells.

Yong Jun Choi, Mi Young Son, Paul Hasty

Abstract read
In one paragraph

Article in Genesis (New York, N.Y. : 2000), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Yong Jun ChoiDepartment of Molecular Medicine, Institute of Biotechnology, University of Texas Health Science Center at San Antonio, 15355 Lambda Drive, San Antonio, Texas 78245-3207, USA.
Mi Young Son
Paul Hasty

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Discovering TREX1 and TREX2 Function in Mammalian Cells and MiceR01CA123203 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HASTY, EDWARD PAUL · 2007 to 2011
$1.4M
NCI NIH HHS 1 R01 CA123203-01A1NCI NIH HHS R01 CA123203NIA NIH HHS P01 AG017242NIA NIH HHS P01 AG17242
6 · The paper itself

Abstract

Transgenesis enables the elucidation of gene function; however, constant transgene expression is not always desired. The tetracycline responsive system was devised to turn on and off transgene expression at will. It has two components: a doxycycline (dox)-controlled transactivator (TA) and an inducible expression cassette. Integration of these transgenes requires two transfection steps usually accomplished by sequential random integration. Unfortunately, random integration can be problematic due to chromatin position effects, integration of variable transgene units, and mutation at the integration site. Therefore, targeted transgenesis and knockin were developed to target the TA and the inducible expression cassette to a specific location, but these approaches can be costly in time, labor, and money. Here, we describe a one-step Cre-mediated knockin system in mouse embryonic stem cells that positions the TA and inducible expression cassette to a single location. Using this system, we show dox-dependent regulation of eGFP at the DNA topoisomerase 3β promoter. Because Cre-mediated recombination is used in lieu of gene targeting, this system is fast and efficient.

Indexed as

Gene Knock-In TechniquesAnimalsAnti-Bacterial AgentsDoxycyclineEmbryonic Stem CellsGene Expression Regulation, DevelopmentalGene OrderGenes, ReporterGenetic VectorsMiceMolecular TypingRecombination, GeneticAnti-Bacterial AgentsDoxycycline

Identifiers

PMID21344611
PMCPMC3089813

What OpenQuestion holds

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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.