Evidence map›Paper›PMID 35583783›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Detection and Quantification of the Hypersensitive Response Cell Death in Arabidopsis thaliana.

Jose Salguero-Linares, Saul Lema-Asqui, Marta Salas-Gómez, Andrea Froilán-Soares, Núria S Coll

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jose Salguero-LinaresCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain, 08193.
Saul Lema-AsquiFacultad de Medicina, Universidad de las Américas, Quito, Ecuador, 170513.
Marta Salas-GómezCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain, 08193.
Andrea Froilán-SoaresCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain, 08193.
Núria S CollCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain, 08193. nuria.sanchez-coll@cragenomica.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plants, the hypersensitive response (HR) is a programmed cell death modality that occurs upon recognition of harmful non-self. It occurs at the site of pathogen infection, thus preventing pathogens to live off plant tissue and proliferate. Shedding light on the molecular constituents underlying this process requires robust and quantitative methods that can determine whether plants lacking functional genes are defective in HR execution compared to wild-type controls. In this chapter, we provide two quantitative protocols in which we measure cell death from Arabidopsis thaliana leaves infected with avirulent HR-causing bacterial strains. Firstly, we use trypan blue staining to quantify the stained area of leaves upon bacterial infection using a personalized macro in the Image J (Fiji) software. Alternately, we incorporate an electrolyte leakage protocol in order to measure HR caused by different avirulent bacterial strains at different bacterial titers. We encourage users to perform a combination of both methods when assessing HR in different plant genotypes.

Indexed as

ArabidopsisArabidopsis ProteinsBacteriaCell DeathPlant DiseasesPlant LeavesPseudomonas syringaeArabidopsis ProteinsArabidopsis thalianaCell death quantification by Image JElectrolyte leakageHypersensitive responsePseudomonas syringae pv tomato DC3000Trypan Blue Staining

Identifiers

PMID35583783

What OpenQuestion holds

Textmetadata
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.