Evidence map›Paper›PMID 30781546›Full record

ArticleInternational journal of molecular sciences2019

Application of Data-Independent Acquisition Approach to Study the Proteome Change from Early to Later Phases of Tomato Pathogenesis Responses.

Kai-Ting Fan, Kuo-Hsin Wang, Wei-Hung Chang, Jhih-Ci Yang, Ching-Fang Yeh, Kai-Tan Cheng, Sheng-Chi Hung, Yet-Ran Chen

Abstract read
In one paragraph

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Protein Elicitor PeBL1 ofPathogens (Basel, Switzerland) · 2020
    Article
  11. Article
  12. Plant Proteomic Research 2.0: Trends and Perspectives.International journal of molecular sciences · 2019
    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

8 authors.

Kai-Ting FanAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. kaitingfan@sinica.edu.tw.
Kuo-Hsin WangAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. khwang@gate.sinica.edu.tw.
Wei-Hung ChangAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. whchang@gate.sinica.edu.tw.
Jhih-Ci YangSustainable Chemical Science and Technology, Taiwan International Graduate Program, Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan. jhihciy@gate.sinica.edu.tw.
Ching-Fang YehAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. cfyeh@gate.sinica.edu.tw.
Kai-Tan ChengAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. ktc77123@gate.sinica.edu.tw.
Sheng-Chi HungSustainable Chemical Science and Technology, Taiwan International Graduate Program, Department of Applied Chemistry, National Chiao Tung University, Hsinchu 30010, Taiwan. kempis710165@gate.sinica.edu.tw.
Yet-Ran ChenAgricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan. yetran@gate.sinica.edu.tw.ORCID 0000-0002-2409-6655

Funding

Academia Sinica 105-L03Innovative Translational Agricultural Research, Taiwan 2018PRE072Ministry of Science and Technology, Taiwan 107-2113-M-001-006-
6 · The paper itself

Abstract

Plants and pathogens are entangled in a continual arms race. Plants have evolved dynamic defence and immune mechanisms to resist infection and enhance immunity for second wave attacks from the same or different types of pathogenic species. In addition to evolutionarily and physiological changes, plant-pathogen interaction is also highly dynamic at the molecular level. Recently, an emerging quantitative mass spectrometry-based proteomics approach named data-independent acquisition (DIA), has been developed for the analysis of the proteome in a high-throughput fashion. In this study, the DIA approach was applied to quantitatively trace the change in the plant proteome from the early to the later stage of pathogenesis progression. This study revealed that at the early stage of the pathogenesis response, proteins directly related to the chaperon were regulated for the defence proteins. At the later stage, not only the defence proteins but also a set of the pathogen-associated molecular pattern-triggered immunity (PTI) and effector triggered immunity (ETI)-related proteins were highly induced. Our findings show the dynamics of the plant regulation of pathogenesis at the protein level and demonstrate the potential of using the DIA approach for tracing the dynamics of the plant proteome during pathogenesis responses.

Indexed as

Disease ResistanceHost-Pathogen InteractionsPlant DiseasesPlant ImmunityProteomeProteomicsPseudomonas syringaeSolanum lycopersicumProteomedata-independent acquisitionplant pathogenesis responsesPseudomonas syringaequantitative proteomics

Identifiers

PMID30781546
PMCPMC6413104

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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.