Evidence map›Paper›PMID 23056904›Full record

ArticleScientific reports2012

Next-generation sequencing coupled with a cell-free display technology for high-throughput production of reliable interactome data.

Shigeo Fujimori, Naoya Hirai, Hiroyuki Ohashi, Kazuyo Masuoka, Akihiko Nishikimi, Yoshinori Fukui, Takanori Washio, Tomohiro Oshikubo, Tatsuhiro Yamashita, Etsuko Miyamoto-Sato

Abstract read
In one paragraph

Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Molecules (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Molecular network analysis enhances understanding of the biology of mental disorders.BioEssays : news and reviews in molecular, cellular and developmental biology · 2014
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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

10 authors.

Shigeo FujimoriDivision of Interactome Medical Sciences, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Naoya Hirai
Hiroyuki Ohashi
Kazuyo Masuoka
Akihiko Nishikimi
Yoshinori Fukui
Takanori Washio
Tomohiro Oshikubo
Tatsuhiro Yamashita
Etsuko Miyamoto-Sato

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has been applied to various kinds of omics studies, resulting in many biological and medical discoveries. However, high-throughput protein-protein interactome datasets derived from detection by sequencing are scarce, because protein-protein interaction analysis requires many cell manipulations to examine the interactions. The low reliability of the high-throughput data is also a problem. Here, we describe a cell-free display technology combined with NGS that can improve both the coverage and reliability of interactome datasets. The completely cell-free method gives a high-throughput and a large detection space, testing the interactions without using clones. The quantitative information provided by NGS reduces the number of false positives. The method is suitable for the in vitro detection of proteins that interact not only with the bait protein, but also with DNA, RNA and chemical compounds. Thus, it could become a universal approach for exploring the large space of protein sequences and interactome networks.

Indexed as

Amino Acid SequenceAnimalsBase SequenceCell-Free SystemComputational BiologyDNA, ComplementaryHigh-Throughput Nucleotide SequencingMiceProtein Interaction MappingProteinsReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, MessengerSequence Analysis, DNADNA, ComplementaryProteinsRNA, Messenger

Identifiers

PMID23056904
PMCPMC3466446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.