ReviewFrontiers in plant science2019
Selective Autophagy of Peroxisomes in Plants: From Housekeeping to Development and Stress Responses.
Review in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Overview of oxidative metabolism and autophagy under metal stress.Journal of experimental botany · 2026Review
- Widely targeted metabolomics reveals the physiological and metabolic mechanisms of browning in tobacco leaves induced by starvation stress.Frontiers in plant science · 2026Article
- Peroxisomal-dependent signalling and dynamics modulate plant stress responses: reactive oxygen and nitrogen species as key molecules.Journal of experimental botany · 2025Review
- Evolutionary conservation and metabolic significance of autophagy in algae.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Vacuolar degradation of plant organelles.The Plant cell · 2024Review
- Evaluation of protein's interaction and the regulatory network of some drought-responsive genes in Canola under drought and re-watering conditions.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Exploring the Contribution of Autophagy to the Excess-Sucrose Response inInternational journal of molecular sciences · 2022Article
- Peroxisomes as redox-signaling nodes in intracellular communication and stress responses.Plant physiology · 2021Review
- Fundamental Mechanisms of the Cell Death Caused by Nitrosative Stress.Frontiers in cell and developmental biology · 2021Review
- Emerging Roles of the Selective Autophagy in Plant Immunity and Stress Tolerance.International journal of molecular sciences · 2020Review
- Peroxisomal Metabolism and Dynamics at the Crossroads Between Stimulus Perception and Fast Cell Responses to the Environment.Frontiers in cell and developmental biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peroxisomes are dynamic organelles involved in multiple functions, including oxygen and nitrogen reactive species metabolism. In plants, these organelles have a close relationship with chloroplasts and mitochondria, characterized by intense metabolic activity and signal transduction. Peroxisomes undergo rapid changes in size, morphology, and abundance depending on the plant development stage and environmental conditions. As peroxisomes are essential not only for redox homeostasis but also for sensing stress, signaling transduction, and cell survival, their formation and degradation need to be rigorously regulated. In this review, new insights into the regulation of plant peroxisomes are briefly described, with a particular emphasis on pexophagy components and their regulation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.