Evidence map›Paper›PMID 23733452›Full record

ArticleBiotechnology and bioengineering2013

Using the Cre-lox system to randomize target gene expression states and generate diverse phenotypes.

Bradley Niesner, Narendra Maheshri

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Bradley NiesnerDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Narendra Maheshri
Massachusetts Institute of Technology · US

Funding

Probing the real-time kinetics and steady-state dynamics of gene expressionR01GM095733 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MAHESHRI, NARENDRA · 2011 to 2014
$952k
NIGMS NIH HHS GM095733NIGMS NIH HHS R01 GM095733
6 · The paper itself

Abstract

Modifying the expression of multiple genes enables both deeper understanding of their function and the engineering of complex multigenic cellular phenotypes. However, deletion or overexpression of multiple genes is typically laborious and involves multiple sequential genetic modifications. Here we describe a strategy to randomize the expression state of multiple genes in Saccharomyces cerevisiae using Cre-loxP recombination. By inserting promoters flanked by inverted loxP sites in front of a gene of interest we can randomly alter its expression by turning it OFF or ON, or between four distinct expression states. We show at least 6 genes can be randomized independently and argue that using orthogonal loxP sites should increase this number to at least 15. Finally, we show how combining this strategy with mating allows easy introduction of native regulation as an additional expression state and use this to probe the role of four different enzymes involved in base excision repair in tolerance to methyl methane sulfonate (MMS), a genotoxic DNA alkylating agent. The set of vectors developed here can be used to randomize the expression of both heterologous genes and endogenous genes, and could immediately prove useful for metabolic engineering in yeast. Because Cre-loxP recombination works in many organisms, this strategy should be readily extendable.

Indexed as

Cloning, MolecularDNA Repair EnzymesGene ExpressionGenetic EngineeringGenotypeIntegrasesPhenotypePlasmidsPromoter Regions, GeneticRecombination, GeneticSaccharomyces cerevisiaeCre recombinaseDNA Repair EnzymesIntegrasesCre-loxP recombinationgene expressionmetabolic and cellular engineering

Identifiers

PMID23733452
PMCPMC4264681
OpenAlexW2131491483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.