Evidence map›Paper›PMID 40058874›Full record

ReviewBMB reports2025

Role of Arabidopsis monomeric E3 ubiquitin ligases in the ABA signaling pathway.

Sunglan Chung, Su-Jung Lee, Hye Sup Yun, Jae-Hoon Lee, Woo Taek Kim

Abstract readReview
In one paragraph

Review in BMB reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Sunglan ChungUnderwood International College, Yonsei University, Seoul 03722, Korea.
Su-Jung LeeDepartment of Biology Education, Pusan National University, Busan 46241, Korea.
Hye Sup YunDepartment of Biological Sciences, Konkuk University, Seoul 05029, Korea.
Jae-Hoon LeeDepartment of Biology Education, Pusan National University, Busan 46241, Korea.
Woo Taek KimDepartment of Systems Biology and Institute of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abscisic acid (ABA) is a key phytohormone that regulates multiple biological processes in plants, including seed germination, seedling growth, and abiotic stress response. ABA enhances drought tolerance by promoting stomatal closure, thereby improving crop productivity under unfavorable stress conditions. Extensive research efforts have focused on understanding ABA signaling more clearly for its potential application in agriculture. The accumulation and stability of signaling components involved in the efficient transduction of downstream ABA signaling are affected by both transcriptional regulation and post-translational modifications. Ubiquitination is a representative post-translational modification that regulates protein stability, and E3 ubiquitin ligase is a key enzyme that determines target substrates for ubiquitination. To date, many E3 ligases functioning as a monomeric form such as RING-, HECT- and Ubox- types have been known to participate in the ABA signaling process. In this review, we summarize the current understanding of ABA-related monomeric E3 ligases, their regulation, and mode of action in Arabidopsis, which will help develop a detailed and integrated understanding of the ABA signaling process in Arabidopsis. [BMB Reports 2025; 58(4): 147-157].

Indexed as

Abscisic AcidArabidopsisArabidopsis ProteinsUbiquitin-Protein LigasesGene Expression Regulation, PlantPlant Growth RegulatorsProtein Processing, Post-TranslationalSignal TransductionUbiquitinationAbscisic AcidArabidopsis ProteinsPlant Growth RegulatorsUbiquitin-Protein Ligases

Identifiers

PMID40058874
PMCPMC12041924

What OpenQuestion holds

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Registered trials

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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.