ArticleeLife2022
Using positional information to provide context for biological image analysis with MorphoGraphX 2.0.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed, 105 citations in OpenAlex.
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- Epigenetic regulation of fruit shape determination by the JAGGED gene in Capsella rubella.Nature communications · 2026Article
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- Analysis of Cauline Leaf Development inBio-protocol · 2026Article
- Morphogenesis of moss leaf-like organs through variations in deeply shared developmental principles.Science advances · 2026Article
- Spiral phyllotaxis in the moss Physcomitrium patens emerges from simple division rules of the apical cell.Current biology : CB · 2026Article
- Cell fate acquisition at a de novo developmental boundary in the maize leaf.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Correlations between surface area and volume in cell size and growth in Arabidopsis thaliana.BMC plant biology · 2026Article
- Quantification of cell-type-specific plasmodesmata distribution in Arabidopsis roots reveals spatial and patterning dynamics.The Plant journal : for cell and molecular biology · 2026Article
- Keeping up with the neighbours: local synchronisation of cell fate decisions during development.EMBO reports · 2026Review
- Esterified-pectin-coupled polar stiffening controls grass stomatal opening.Nature plants · 2026Article
- Ectopic expression of pectate lyaseiScience · 2025Article
- Technological advances in visualizing and rewiring microtubules during plant development.Journal of experimental botany · 2025Review
- A user-friendly machine-learning program to quantify stomatal features from fluorescence images.bioRxiv : the preprint server for biology · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 6 institutions in 3 countries.
Funding
Abstract
Positional information is a central concept in developmental biology. In developing organs, positional information can be idealized as a local coordinate system that arises from morphogen gradients controlled by organizers at key locations. This offers a plausible mechanism for the integration of the molecular networks operating in individual cells into the spatially coordinated multicellular responses necessary for the organization of emergent forms. Understanding how positional cues guide morphogenesis requires the quantification of gene expression and growth dynamics in the context of their underlying coordinate systems. Here, we present recent advances in the MorphoGraphX software (Barbier de Reuille et al., 2015) that implement a generalized framework to annotate developing organs with local coordinate systems. These coordinate systems introduce an organ-centric spatial context to microscopy data, allowing gene expression and growth to be quantified and compared in the context of the positional information thought to control them.
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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.