Evidence map›Paper›PMID 28798368›Full record

ArticleScientific reports2017

Global temporal dynamic landscape of pathogen-mediated subversion of Arabidopsis innate immunity.

Bharat Mishra, Yali Sun, Hadia Ahmed, Xiaoyu Liu, M Shahid Mukhtar

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein-Protein Interaction Network Analysis Using NetworkX.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023
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  5. Article
  6. Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Article
  16. Article
  17. Article
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  19. Article
  20. Compounds Released by the Biocontrol YeastFrontiers in microbiology · 2018
    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

5 authors.

Bharat MishraDepartment of Biology, University of Alabama at Birmingham, Birmingham, USA.
Yali SunDepartment of Biology, University of Alabama at Birmingham, Birmingham, USA.
Hadia AhmedDepartment of Computer & Information Sciences, University of Alabama at Birmingham, Birmingham, USA.
Xiaoyu LiuDepartment of Biology, University of Alabama at Birmingham, Birmingham, USA.
M Shahid MukhtarDepartment of Biology, University of Alabama at Birmingham, Birmingham, USA. smukhtar@uab.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The universal nature of networks' structural and physical properties across diverse systems offers a better prospect to elucidate the interplay between a system and its environment. In the last decade, several large-scale transcriptome and interactome studies were conducted to understand the complex and dynamic nature of interactions between Arabidopsis and its bacterial pathogen, Pseudomonas syringae pv. tomato DC3000. We took advantage of these publicly available datasets and performed "-omics"-based integrative, and network topology analyses to decipher the transcriptional and protein-protein interaction activities of effector targets. We demonstrated that effector targets exhibit shorter distance to differentially expressed genes (DEGs) and possess increased information centrality. Intriguingly, effector targets are differentially expressed in a sequential manner and make for 1% of the total DEGs at any time point of infection with virulent or defense-inducing DC3000 strains. We revealed that DC3000 significantly alters the expression levels of 71% effector targets and their downstream physical interacting proteins in Arabidopsis interactome. Our integrative "-omics"--based analyses identified dynamic complexes associated with MTI and disease susceptibility. Finally, we discovered five novel plant defense players using a systems biology-fueled top-to-bottom approach and demonstrated immune-related functions for them, further validating the power and resolution of our network analyses.

Indexed as

Immunity, InnateArabidopsisComputational BiologyGene Regulatory NetworksPlant DiseasesProtein Interaction MapsPseudomonas syringaeTime Factors

Identifiers

PMID28798368
PMCPMC5552879

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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.