Evidence map›Paper›PMID 33511418›Full record

ArticleNucleic acids research2021

The loopometer: a quantitative in vivo assay for DNA-looping proteins.

Nan Hao, Adrienne E Sullivan, Keith E Shearwin, Ian B Dodd

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Nan HaoDepartment of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia.
Adrienne E SullivanDepartment of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia.
Keith E ShearwinDepartment of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia.
Ian B DoddDepartment of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia.
The University of Adelaide · AUCommonwealth Scientific and Industrial Research Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins that can bring together separate DNA sites, either on the same or on different DNA molecules, are critical for a variety of DNA-based processes. However, there are no general and technically simple assays to detect proteins capable of DNA looping in vivo nor to quantitate their in vivo looping efficiency. Here, we develop a quantitative in vivo assay for DNA-looping proteins in Escherichia coli that requires only basic DNA cloning techniques and a LacZ assay. The assay is based on loop assistance, where two binding sites for the candidate looping protein are inserted internally to a pair of operators for the E. coli LacI repressor. DNA looping between the sites shortens the effective distance between the lac operators, increasing LacI looping and strengthening its repression of a lacZ reporter gene. Analysis based on a general model for loop assistance enables quantitation of the strength of looping conferred by the protein and its binding sites. We use this 'loopometer' assay to measure DNA looping for a variety of bacterial and phage proteins.

Indexed as

Chemistry Techniques, AnalyticalLac OperonBacteriophage lambdaBinding SitesDNA, BacterialEscherichia coliEscherichia coli ProteinsLac RepressorsNucleic Acid ConformationOperator Regions, GeneticProtein BindingRepressor ProteinsViral Regulatory and Accessory ProteinsDNA, BacterialEscherichia coli ProteinsLac Repressorsphage repressor proteinsRepressor ProteinsViral Regulatory and Accessory Proteins

Identifiers

PMID33511418
PMCPMC8053113
OpenAlexW3121156575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.