ArticleNature communications2019
Quantitative analysis of plant ER architecture and dynamics.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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Who cites it
46 citing papers in PubMed, 86 citations in OpenAlex.
- Mitochondrial dynamics resolve physical-social tensions and challenges through adaptable multi-objective optimisation.bioRxiv : the preprint server for biology · 2026Article
- An ER-microtubule bridge: Reticulon 17 links microtubules with ER network organisation in plants.The Plant journal : for cell and molecular biology · 2026Article
- From EM to AI: Multiscale imaging of the secretory pathway with insights from plant cells.Journal of microscopy · 2026Review
- Built different: ER cisternae formed by the Arabidopsis Lunapark proteins differ in ultrastructure and affect ER-Golgi transport.The New phytologist · 2026Article
- COST1 stimulates RHD3 GTPase activity to maintain ER morphology and plant growth inScience advances · 2026Article
- Selective degradation processes in plants are not limited to autophagy.Plant cell reports · 2026Review
- Chloroplast Stress Signals Orchestrate Epidermis-Specific Remodeling of Mitochondria and ER Under High Light.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Not Extremely Plastic: Testing the Limits of Morphological Plasticity in Fungal Mycelia in Response to Soil Grazers.Ecology letters · 2025Article
- nERdy: network analysis of endoplasmic reticulum dynamics.Communications biology · 2025Article
- NeuroDecon: A Neural Network-Based Method for Three-Dimensional Deconvolution of Fluorescent Microscopic Images.International journal of molecular sciences · 2025Article
- Review
- Root expansion microscopy: A robust method for super resolution imaging in Arabidopsis.The Plant cell · 2025Article
- Nellie: automated organelle segmentation, tracking and hierarchical feature extraction in 2D/3D live-cell microscopy.Nature methods · 2025Article
- Artificial Intelligence for Organelle Segmentation in Live-Cell Imaging.Research (Washington, D.C.) · 2025Review
- Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity.Bioinformatics (Oxford, England) · 2024Article
- A nanoscale visual exploration of the pathogenic effects of bacterial extracellular vesicles on host cells.Journal of nanobiotechnology · 2024Article
- A century journey of organelles research in the plant endomembrane system.The Plant cell · 2024Review
- vEMstitch: an algorithm for fully automatic image stitching of volume electron microscopy.GigaScience · 2024Article
- Quantitation of ER Morphology and Dynamics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Characterization of intracellular membrane structures derived from a massive expansion of endoplasmic reticulum (ER) membrane due to synthetic ER-membrane-resident polyproteins.Journal of experimental botany · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The endoplasmic reticulum (ER) is a highly dynamic polygonal membrane network composed of interconnected tubules and sheets (cisternae) that forms the first compartment in the secretory pathway involved in protein translocation, folding, glycosylation, quality control, lipid synthesis, calcium signalling, and metabolon formation. Despite its central role in this plethora of biosynthetic, metabolic and physiological processes, there is little quantitative information on ER structure, morphology or dynamics. Here we describe a software package (AnalyzER) to automatically extract ER tubules and cisternae from multi-dimensional fluorescence images of plant ER. The structure, topology, protein-localisation patterns, and dynamics are automatically quantified using spatial, intensity and graph-theoretic metrics. We validate the method against manually-traced ground-truth networks, and calibrate the sub-resolution width estimates against ER profiles identified in serial block-face SEM images. We apply the approach to quantify the effects on ER morphology of drug treatments, abiotic stress and over-expression of ER tubule-shaping and cisternal-modifying proteins.
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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.