Evidence map›Paper›PMID 37920550›Full record

ArticlePNAS nexus2023

Induced production of specialized steroids by transcriptional reprogramming in

Tsubasa Shoji, Satoko Sugawara, Tetsuya Mori, Makoto Kobayashi, Miyako Kusano, Kazuki Saito

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Squalene inPlants (Basel, Switzerland) · 2026
    Article
  2. Targeted Gene Modification ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Subfunctionalization and epigenetic regulation of a biosynthetic gene cluster inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Development of phytochemical genomics: From decoding metabolome to functional genomics and biotechnology of plant metabolism.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2025
    Review
  7. Review
  8. Genome-wide analysis of theFrontiers in plant science · 2024
    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

6 authors at 2 institutions in 1 country.

Tsubasa ShojiRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.ORCID https://orcid.org/0000-0002-6917-3773
Satoko SugawaraRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.ORCID https://orcid.org/0000-0001-8647-065X
Tetsuya MoriRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.ORCID https://orcid.org/0000-0001-5347-8890
Makoto KobayashiRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.
Miyako KusanoRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.
Kazuki SaitoRIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.ORCID https://orcid.org/0000-0001-6310-5342
RIKEN Center for Sustainable Resource Science · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants produce specialized metabolites with defensive properties that are often synthesized through the coordinated regulation of metabolic genes by transcription factors in various biological contexts. In this study, we investigated the regulatory function of the transcription factor PhERF1 from petunia (

Indexed as

gene clusterpetuniaspecialized metabolitesteroidtranscription factor

Identifiers

PMID37920550
PMCPMC10619512
OpenAlexW4388123098

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.