Evidence map›Paper›PMID 35168119›Full record

ReviewCurrent opinion in immunology2022

Life-or-death decisions in plant immunity.

Xing Zhang, Xinnian Dong

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. CabioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Plants (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

2 authors at 1 institution in 1 country.

Xing ZhangHoward Hughes Medical Institute, Duke University, Durham, NC 27708, USA; Department of Biology, Duke University, Durham, NC 27708, USA.
Xinnian DongHoward Hughes Medical Institute, Duke University, Durham, NC 27708, USA; Department of Biology, Duke University, Durham, NC 27708, USA. Electronic address: xdong@duke.edu.
Howard Hughes Medical Institute · US

Funding

Salicylic Acid in Immunity and Health: A Small Phytohormone with Big Physiological ImpactsR35GM118036 · NIGMS · DUKE UNIVERSITY · PI Xinnian Dong · 2016 to 2026
$4.0M
Howard Hughes Medical InstituteNIGMS NIH HHS R35 GM118036
6 · The paper itself

Abstract

Upon pathogen challenge, plant cells can mount defense not only by triggering programmed cell death (PCD) to limit pathogen growth, but also by secreting immune signals to activate subsequent organism-scale defense responses. Recent advances in the study of plant immune mechanisms have found that pathogen-induced oligomerization of immune receptors is a common 'on' switch for the normally self-inhibitory proteins. The resulting 'resistosome' triggers PCD through the formation of a calcium channel or a NADase. Synergy between different receptor-mediated signaling pathways appears to be required for sustained immune induction to trigger PCD of infected cells. In the neighboring cells, PCD is inhibited through the production of immune signal salicylic acid (SA) which mediates degradation of PCD-inducing immune components in biomolecular condensates. Future work is required to connect the resistosome-mediated channel formation and the NADase activity to the downstream regulation of immune execution.

Indexed as

Plant ImmunitySalicylic AcidApoptosisCell DeathGene Expression Regulation, PlantHumansNAD+ NucleosidasePlant ProteinsNAD+ NucleosidasePlant ProteinsSalicylic Acid

Identifiers

PMID35168119
PMCPMC9081146
OpenAlexW4211021003

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.