ArticleInternational journal of molecular sciences2019
Analysis of Rice Proteins with DLN Repressor Motif/S.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Synthetic transcriptional repression systems in plants.Plant cell reports · 2026Review
- OsWRKY26 negatively regulates bacterial blight resistance by suppressingFrontiers in plant science · 2024Article
- Comparative transcriptome analysis reveals candidate genes for cold stress response and early flowering in pineapple.Scientific reports · 2023Article
- Genome-wide analysis of the C2H2 zinc finger protein gene family and its response to salt stress in ginseng, Panax ginseng Meyer.Scientific reports · 2022Article
- PpZAT5 suppresses the expression of a B-box geneFrontiers in plant science · 2022Article
- SUPER STARCHY1/ONAC025 participates in rice grain filling.Plant direct · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Transcriptional regulation includes both activation and repression of downstream genes. In plants, a well-established class of repressors are proteins with an ERF-associated amphiphilic repression/EAR domain. They contain either DLNxxP or LxLxL as the identifying hexapeptide motif. In rice (
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What OpenQuestion holds
Registered trials
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.