Evidence map›Paper›PMID 16478713›Full record

ArticleNucleic acids research2006

Affinity selection of DNA-binding protein complexes using mRNA display.

Seiji Tateyama, Kenichi Horisawa, Hideaki Takashima, Etsuko Miyamoto-Sato, Nobuhide Doi, Hiroshi Yanagawa

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Anti-inflammatory effects of adenosine N1-oxide.Journal of inflammation (London, England) · 2015
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

6 authors at 1 institution in 1 country.

Seiji TateyamaDepartment of Biosciences and Informatics, Faculty of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Kenichi Horisawa
Hideaki Takashima
Etsuko Miyamoto-Sato
Nobuhide Doi
Hiroshi Yanagawa
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive analysis of DNA-protein interactions is important for mapping transcriptional regulatory networks on a genome-wide level. Here we present a new application of mRNA display for in vitro selection of DNA-binding protein heterodimeric complexes. Under improved selection conditions using a TPA-responsive element (TRE) as a bait DNA, known interactors c-fos and c-jun were simultaneously enriched about 100-fold from a model library (a 1:1:20 000 mixture of c-fos, c-jun and gst genes) after one round of selection. Furthermore, almost all kinds of the AP-1 family genes including c-jun, c-fos, junD, junB, atf2 and b-atf were successfully selected from an mRNA display library constructed from a mouse brain poly A(+) RNA after six rounds of selection. These results indicate that the mRNA display selection system can identify a variety of DNA-binding protein complexes in a single experiment. Since almost all transcription factors form heterooligomeric complexes to bind with their target DNA, this method should be most useful to search for DNA-binding transcription factor complexes.

Indexed as

Gene LibraryAnimalsBinding SitesDNA-Binding ProteinsMicePolymerase Chain ReactionProtein BiosynthesisProto-Oncogene Proteins c-fosProto-Oncogene Proteins c-junResponse ElementsRNA, MessengerTranscription FactorsDNA-Binding ProteinsProto-Oncogene Proteins c-fosProto-Oncogene Proteins c-junRNA, MessengerTranscription Factors

Identifiers

PMID16478713
PMCPMC1369289
OpenAlexW2098160251

What OpenQuestion holds

Textmetadata
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.