Evidence map›Paper›PMID 25649523›Full record

ReviewBioMed research international2015

Next-generation technologies for multiomics approaches including interactome sequencing.

Hiroyuki Ohashi, Mai Hasegawa, Kentaro Wakimoto, Etsuko Miyamoto-Sato

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Metabolomics Analysis of Mesenchymal Stem Cells.International journal of molecular and cellular medicine · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. The Use of Omic Technologies Applied to Traditional Chinese Medicine Research.Evidence-based complementary and alternative medicine : eCAM · 2017
    Review
  16. Article
  17. Review
  18. Article
  19. A comprehensive view of the web-resources related to sericulture.Database : the journal of biological databases and curation · 2016
    Review
  20. Review
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.

Hiroyuki OhashiDivision of Interactome Medical Sciences, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Mai HasegawaDivision of Interactome Medical Sciences, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan ; Division of Molecular Biology, Tokyo University of Science Research Institute for Biomedical Science, 2669 Yamazaki, Noda, Chiba 278-0022, Japan.ORCID 0000-0001-9234-6014
Kentaro WakimotoDivision of Interactome Medical Sciences, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan ; Division of Molecular Biology, Tokyo University of Science Research Institute for Biomedical Science, 2669 Yamazaki, Noda, Chiba 278-0022, Japan.ORCID 0000-0002-8624-2478
Etsuko Miyamoto-SatoDivision of Interactome Medical Sciences, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan ; Division of Molecular Biology, Tokyo University of Science Research Institute for Biomedical Science, 2669 Yamazaki, Noda, Chiba 278-0022, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of high-speed analytical techniques such as next-generation sequencing and microarrays allows high-throughput analysis of biological information at a low cost. These techniques contribute to medical and bioscience advancements and provide new avenues for scientific research. Here, we outline a variety of new innovative techniques and discuss their use in omics research (e.g., genomics, transcriptomics, metabolomics, proteomics, and interactomics). We also discuss the possible applications of these methods, including an interactome sequencing technology that we developed, in future medical and life science research.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingHumansMetabolomicsProtein Interaction MappingProteomicsTranscriptome

Identifiers

PMID25649523
PMCPMC4306365

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.