Evidence map›Paper›PMID 37077633›Full record

ArticleFrontiers in plant science2023

Genome-edited

Hee Rang Yun, Chong Chen, Jee Hye Kim, Hae Eun Kim, Sivabalan Karthik, Hye Jeong Kim, Young-Soo Chung, Hee Soon Baek, Sibum Sung, Hyun Uk Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Improving the Traits ofPlants (Basel, Switzerland) · 2024
    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

11 authors at 2 institutions in 2 countries.

Hee Rang YunDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Chong ChenDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Jee Hye KimDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Hae Eun KimDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Sivabalan KarthikDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Hye Jeong KimDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Young-Soo ChungDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Hee Soon BaekCrazy Peanut, lnc., Dong-A University, Busan, Republic of Korea.
Sibum SungDepartment of Molecular Biosciences and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, United States.
Hyun Uk KimDepartment of Bioindustry and Bioresource Engineering, Sejong University, Seoul, Republic of Korea.
Jae Bok HeoDepartment of Molecular Genetic Engineering, Dong-A University, Busan, Republic of Korea.
Dong-A University · KRSejong University · KR

Funding

Coordinated regulation of floral transition by protein and long noncoding RNA componentsR01GM100108 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI SUNG, SIBUM · 2012 to 2025
$4.0M
NIGMS NIH HHS R01 GM100108
6 · The paper itself

Abstract

Environmental cues regulate the transition of many plants from vegetative to flowering development. Day length, or photoperiod, is one cue that synchronizes flowering by changing seasons. Consequently, the molecular mechanism of flowering control is prominent in Arabidopsis and rice, where essential genes like

Indexed as

CRISPRflowering mechanismFTHd3aperilla

Identifiers

PMID37077633
PMCPMC10108627
OpenAlexW4362590565

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.