Evidence map›Paper›PMID 18500650›Full record

ArticlePlant molecular biology2008

Large-scale analysis of the GRAS gene family in Arabidopsis thaliana.

Mi-Hyun Lee, Bohye Kim, Sang-Kee Song, Jung-Ok Heo, Nan-Ie Yu, Shin Ae Lee, Miran Kim, Dong Gwan Kim, Sung Oh Sohn, Chae Eun Lim and 3 more

Abstract read
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Article in Plant molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

  1. Genome-Wide Characterization of theLife (Basel, Switzerland) · 2026
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  8. Genome-Wide Identification of DlGRAS Family and Functional Analysis ofInternational journal of molecular sciences · 2025
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  19. Genome-Wide Identification ofInternational journal of molecular sciences · 2024
    Article
  20. Article

60 more citing papers are in PubMed but not listed here.

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

13 authors.

Mi-Hyun LeeDepartment of Bioscience and Biotechnology, Konkuk University, 1 Hwayang-dong, Gwangjin-gu, Seoul, 143-701, Korea.
Bohye Kim
Sang-Kee Song
Jung-Ok Heo
Nan-Ie Yu
Shin Ae Lee
Miran Kim
Dong Gwan Kim
Sung Oh Sohn
Chae Eun Lim
Kwang Suk Chang
Myeong Min Lee
Jun Lim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GRAS proteins belong to a plant-specific transcription factor family. Currently, 33 GRAS members including a putative expressed pseudogene have been identified in the Arabidopsis genome. With a reverse genetic approach, we have constructed a "phenome-ready unimutant collection" of the GRAS genes in Arabidopsis thaliana. Of this collection, we focused on loss-of-function mutations in 23 novel GRAS members. Under standard conditions, homozygous mutants have no obvious morphological phenotypes compared with those of wild-type plants. Expression analysis of GRAS genes using quantitative real-time RT-PCR (qRT-PCR), microarray data mining, and promoter::GUS reporter fusions revealed their tissue-specific expression patterns. Our analysis of protein-protein interaction and subcellular localization of individual GRAS members indicated their roles as transcription regulators. In our yeast two-hybrid (Y2H) assay, we confirmed the protein-protein interaction between SHORT-ROOT (SHR) and SCARECROW (SCR). Furthermore, we identified a new SHR-interacting protein, SCARECROW-LIKE23 (SCL23), which is the most closely related to SCR. Our large-scale analysis provides a comprehensive evaluation on the Arabidopsis GRAS members, and also our phenome-ready unimutant collection will be a useful resource to better understand individual GRAS proteins that play diverse roles in plant growth and development.

Indexed as

ArabidopsisArabidopsis ProteinsCell NucleusGene ExpressionMultigene FamilyMutationPlants, Genetically ModifiedRNA, MessengerTranscription FactorsTwo-Hybrid System TechniquesArabidopsis ProteinsRNA, MessengerTranscription Factors

Identifiers

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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.