Evidence map›Paper›PMID 23533086›Full record

ArticleProteomics2013

Quantitative proteomics of tomato defense against Pseudomonas syringae infection.

Jennifer Parker, Jin Koh, Mi-Jeong Yoo, Ning Zhu, Michelle Feole, Sarah Yi, Sixue Chen

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Proteomic Advances in Cereal and Vegetable Crops.Molecules (Basel, Switzerland) · 2021
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

7 authors at 1 institution in 1 country.

Jennifer ParkerPlant Molecular and Cellular Biology, University of Florida, Gainesville, FL 32610, USA.
Jin Koh
Mi-Jeong Yoo
Ning Zhu
Michelle Feole
Sarah Yi
Sixue Chen
University of Florida · US

Funding

Establishment of a High Performance UPLC-QSTAR Elite Proteomics Platform at UniveS10RR025418 · NCRR · UNIVERSITY OF FLORIDA · PI CHEN, SIXUE · 2009 to 2009
$326k
NCRR NIH HHS 1S10RR025418-01NCRR NIH HHS S10 RR025418
6 · The paper itself

Abstract

Genetic and microarray analyses have provided useful information in the area of plant and pathogen interactions. Pseudomonas syringae pv. tomato DC3000 (Pst) causes bacterial speck disease in tomato. Previous studies have shown that changes in response to pathogen infection at transcript level are variable at different time points. This study provides information not only on proteomic changes between a resistant and a susceptible genotype, but also information on changes between an early and a late time point. Using the iTRAQ quantitative proteomics approach, we have identified 2369 proteins in tomato leaves, and 477 of them were determined to be responsive to Pst inoculation. Unique and differential proteins after each comparison were further analyzed to provide information about protein changes and the potential functions they play in the pathogen response. This information is applicable not only to tomato proteomics, but also adds to the repertoire of proteins now available for crop proteomic analysis and how they change in response to pathogen infection.

Indexed as

Plant DiseasesPseudomonas syringaeSolanum lycopersicumDisease ResistanceGenotypeHydrogen PeroxideIsotope LabelingPlant LeavesPlant ProteinsProteomeProteomicsStress, PhysiologicalHydrogen PeroxidePlant ProteinsProteomeDefense responseiTRAQPlant proteomicsPseudomonasTomato

Identifiers

PMID23533086
PMCPMC3819431
OpenAlexW2022609864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.