Evidence map›Paper›PMID 29470708›Full record

ArticleProtoplasma2018

The wound response in fresh-cut lettuce involves programmed cell death events.

Elena T Iakimova, Ernst J Woltering

Open access · hybridAbstract read
In one paragraph

Article in Protoplasma, 2018. 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
5.4field-weighted citation impact, top 5% 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, 42 citations in OpenAlex.

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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.

Elena T IakimovaHorticulture and Product Physiology Group, Wageningen University, Droevendaalsesteeg 1, P.O. Box 630, 6700AP, Wageningen, The Netherlands.
Ernst J WolteringHorticulture and Product Physiology Group, Wageningen University, Droevendaalsesteeg 1, P.O. Box 630, 6700AP, Wageningen, The Netherlands. ernst.woltering@wur.nl.ORCID http://orcid.org/0000-0003-0896-7235
Wageningen University & Research · NL

Funding

Agricultural Academy of Bulgaria Project P175/2017Nederlandse Organisatie voor Wetenschappelijk Onderzoek 040.11.306
6 · The paper itself

Abstract

In this work, the involvement of programmed cell death (PCD) in the wound-induced postharvest browning disorder and senescence in butterhead lettuce (Lactuca sativa L.) fresh-cuts was studied. At the wounded (cut, bruised) sites, rapid browning, loss of chlorophyll and massive cell death, accompanied with accumulation of reactive oxygen species and increased electrolyte leakage occurred in a narrow strip of tissue adjacent the injury. The dead cell morphology (protoplast and nuclei shrinkage) together with the biochemical and physiological changes resembled necrotic PCD type. With a slight delay post-wounding, senescence associated with similar cell death features was initiated in distant non-wounded sites. In addition to necrotic PCD, both in wounded and senescing tissue, the appearance of empty cell corpses was observed, indicating that part of the cells might undergo vacuolar PCD (self-digestion of cellular content after vacuole collapse). The wounding-induced local cell death at the primary site of damage suggested that PCD may serve as a mechanism to seal-off the wound by building a physical barrier of dead cells. However, the cell death at sites remote from the wound suggests the distribution of long-distance senescence-inducing wound messengers. Trichomes in unwounded tissue often were the first to show H

Indexed as

Cell DeathHydrogen PeroxideLactucaPlant LeavesHydrogen PeroxideCell deathHydrogen peroxideLactuca sativa L.SenescenceWounding

Identifiers

PMID29470708
PMCPMC5994216
OpenAlexW2794233195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.