Evidence map›Paper›PMID 18641039›Full record

ArticleNucleic acids research2008

Phenotypic engineering by reprogramming gene transcription using novel artificial transcription factors in Escherichia coli.

Ju Young Lee, Bong Hyun Sung, Byung Jo Yu, Jun Hyoung Lee, Sang Hee Lee, Mi Sun Kim, Michael D Koob, Sun Chang Kim

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 135 citations in OpenAlex.

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  12. Combinatorial approaches for inverse metabolic engineering applications.Computational and structural biotechnology journal · 2012
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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

8 authors at 3 institutions in 2 countries.

Ju Young LeeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Biomass Team, Korea Institute of Energy Research, Daejeon, Korea.
Bong Hyun Sung
Byung Jo Yu
Jun Hyoung Lee
Sang Hee Lee
Mi Sun Kim
Michael D Koob
Sun Chang Kim
Korea Advanced Institute of Science and Technology · KRKorea Institute of Energy Research · KRUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Now that many genomes have been sequenced and the products of newly identified genes have been annotated, the next goal is to engineer the desired phenotypes in organisms of interest. For the phenotypic engineering of microorganisms, we have developed novel artificial transcription factors (ATFs) capable of reprogramming innate gene expression circuits in Escherichia coli. These ATFs are composed of zinc finger (ZF) DNA-binding proteins, with distinct specificities, fused to an E. coli cyclic AMP receptor protein (CRP). By randomly assembling 40 different types of ZFs, we have constructed more than 6.4 x 10(4) ATFs that consist of 3 ZF DNA-binding domains and a CRP effector domain. Using these ATFs, we induced various phenotypic changes in E. coli and selected for industrially important traits, such as resistance to heat shock, osmotic pressure and cold shock. Genes associated with the heat-shock resistance phenotype were then characterized. These results and the general applicability of this platform clearly indicate that novel ATFs are powerful tools for the phenotypic engineering of microorganisms and can facilitate microbial functional genomic studies.

Indexed as

Gene Expression Regulation, BacterialZinc FingersCyclic AMP Receptor ProteinDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsGene LibraryGenes, BacterialGenetic EngineeringHumansIndustrial MicrobiologyPhenotypeProtein EngineeringProtein Structure, TertiaryRecombinant Fusion ProteinsTemperaturecrp protein, E coliCyclic AMP Receptor ProteinDNA-Binding ProteinsEscherichia coli ProteinsRecombinant Fusion Proteins

Identifiers

PMID18641039
PMCPMC2532725
OpenAlexW2085444284

What OpenQuestion holds

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LicenceCC BY-NC
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.