Evidence map›Paper›PMID 19226311›Full record

ArticlePhysiologia plantarum2009

Proteomic analysis of the secretome of rice calli.

Won Kyong Cho, Xiong Yan Chen, Hyosub Chu, Yeonggil Rim, Suwha Kim, Sun Tae Kim, Seon-Won Kim, Zee-Yong Park, Jae-Yean Kim

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Physiologia plantarum, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  4. Highly Efficient Bioconversion ofInternational journal of molecular sciences · 2022
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  11. Plant Cell Wall Proteomics: A Focus on Monocot Species,International journal of molecular sciences · 2019
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Won Kyong ChoDivision of Applied Life Science (BK21 Program), Graduate School, Environmental Biotechnology National Core Research Center, PMBBRC, Gyeongsang National University, Jinju, Korea.
Xiong Yan Chen
Hyosub Chu
Yeonggil Rim
Suwha Kim
Sun Tae Kim
Seon-Won Kim
Zee-Yong Park
Jae-Yean Kim
Gyeongsang National University · KRGwangju Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell wall and extracellular matrix in higher plants include secreted proteins that play critical roles in a wide range of cellular processes, such as structural integrity and biogenesis. Compared with the intensive cell wall proteomic studies in Arabidopsis, the list of cell wall proteins identified in monocot species is lacking. Therefore, we conducted a large-scale proteomic analysis of secreted proteins from rice. Highly purified secreted rice proteins were obtained from the medium of a suspension of callus culture and were analyzed with multidimensional protein identification technology (MudPIT). As a result, we could detect a total of 555 rice proteins by MudPIT analysis. Based on bioinformatic analyses, 27.7% (154 proteins) of the identified proteins are considered to be secreted proteins because they possess a signal peptide for the secretory pathway. Among the 154 identified proteins, 27% were functionally categorized as stress response proteins, followed by metabolic proteins (26%) and factors involved in protein modification (24%). Comparative analysis of cell wall proteins from Arabidopsis and rice revealed that one third of the secreted rice proteins overlapped with those of Arabidopsis. Furthermore, 25 novel rice-specific secreted proteins were found. This work presents the large scale of the rice secretory proteome from culture medium, which contributes to a deeper understanding of the rice secretome.

Indexed as

ProteomicsArabidopsisCells, CulturedCell WallComputational BiologyCulture MediaOryzaPlant ProteinsProteomeCulture MediaPlant ProteinsProteome

Identifiers

PMID19226311
OpenAlexW2067015207

What OpenQuestion holds

Textmetadata
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.