Evidence map›Paper›PMID 23039028›Full record

ArticleJournal of proteome research2012

In-depth analysis of the Magnaporthe oryzae conidial proteome.

Emine Gokce, William L Franck, Yeonyee Oh, Ralph A Dean, David C Muddiman

Abstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Emine GokceW.M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, and Center for Integrated Fungal Research, North Carolina State University, Raleigh, North Carolina 27695, United States.
William L Franck
Yeonyee Oh
Ralph A Dean
David C Muddiman

Funding

Tri-Institutional Molecular Mycology and Pathogenesis Training ProgramT32AI052080 · NIAID · DUKE UNIVERSITY · PI ANDREW ALSPAUGH, JOSEPH HEITMAN · 2003 to 2026
$8.7M
NIAID NIH HHS T32 AI052080
6 · The paper itself

Abstract

The filamentous fungus Magnaporthe oryzae (M. oryzae) is the causative agent of rice blast disease and presents a significant threat to worldwide rice production. To establish the groundwork for future research on the pathogenic development of M. oryzae, a global proteomic study of conidia was performed. The filter aided sample preparation method (FASP) and anion StageTip fractionation combined with long, optimized shallow 210 min nanoLC gradients prior to mass spectrometry analysis on an Orbitrap XL was applied, which resulted in a doubling of protein identifications in comparison to our previous GeLC analysis. Herein, we report the identification of 2912 conidial proteins at a 1% protein false discovery rate (FDR) and we present the most extensive study performed on M. oryzae conidia to date. A similar distribution between identified proteins and the predicted proteome was observed when subcellular localization analysis was performed, suggesting the detected proteins build a representative portion of the predicted proteome. A higher percentage of cytoplasmic proteins (associated with translation, energy, and metabolism) were observed in the conidial proteome relative to the whole predicted proteome. Conversely, nuclear and extracellular proteins were less well represented in the conidial proteome. Further analysis by gene ontology revealed biological insights into identified proteins important for central metabolic processes and the physiology of conidia.

Indexed as

Cell NucleusChemical FractionationChromatography, LiquidCytoplasmFungal ProteinsMagnaportheMass SpectrometryNanotechnologyNuclear ProteinsPeptidesProteomeReproducibility of ResultsSensitivity and SpecificitySpores, FungalTime FactorsFungal ProteinsNuclear ProteinsPeptidesProteome

Identifiers

PMID23039028
PMCPMC3690190

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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.