Evidence map›Paper›PMID 17360610›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

In vitro analysis of DNA-protein interactions by proximity ligation.

Sigrun M Gustafsdottir, Joerg Schlingemann, Alvaro Rada-Iglesias, Edith Schallmeiner, Masood Kamali-Moghaddam, Claes Wadelius, Ulf Landegren

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Article
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  12. Article
  13. DNA-protein interactions: methods for detection and analysis.Molecular and cellular biochemistry · 2012
    Review
  14. Article
  15. Multiple recognition assay reveals prostasomes as promising plasma biomarkers for prostate cancer.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  16. Article
  17. Article
  18. Article
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  20. 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

7 authors.

Sigrun M GustafsdottirRudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Dag Hammarskjöldsväg 20, SE-75185 Uppsala, Sweden. sigrun.gustafsdottir@genpat.uu.se
Joerg Schlingemann
Alvaro Rada-Iglesias
Edith Schallmeiner
Masood Kamali-Moghaddam
Claes Wadelius
Ulf Landegren

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-binding DNA sequence elements encode a variety of regulated functions of genomes. Information about such elements is currently in a state of rapid growth, but improved methods are required to characterize the sequence specificity of DNA-binding proteins. We have established an in vitro method for specific and sensitive solution-phase analysis of interactions between proteins and nucleic acids in nuclear extracts, based on the proximity ligation assay. The reagent consumption is very low, and the excellent sensitivity of the assay enables analysis of as few as 1-10 cells. We show that our results are highly reproducible, quantitative, and in good agreement with both EMSA and predictions obtained by using a motif finding software. This assay can be a valuable tool to characterize in-depth the sequence specificity of DNA-binding proteins and to evaluate effects of polymorphisms in known transcription factor binding sites.

Indexed as

Genetic TechniquesModels, MolecularDNADNA-Binding ProteinsElectrophoretic Mobility Shift AssayMolecular ProbesOligonucleotidesPolymerase Chain ReactionDNADNA-Binding ProteinsMolecular ProbesOligonucleotides

Identifiers

PMID17360610
PMCPMC1805562

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.