ArticleeLife2018
Live cell-lineage tracing and machine learning reveal patterns of organ regeneration.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed.
- High-Fidelity Long-term Whole-embryo Lineage and Fate Reconstruction by Iterative Tracking with Error Correction.bioRxiv : the preprint server for biology · 2026Article
- Article
- Ultrack: pushing the limits of cell tracking across biological scales.Nature methods · 2025Article
- Spherical harmonics analysis reveals cell shape-fate relationships in zebrafish lateral line neuromasts.Development (Cambridge, England) · 2024Article
- On the value of diverse organisms in auditory research: From fish to flies to humans.Hearing research · 2023Review
- Machine Learning in Tissue Engineering.Tissue engineering. Part A · 2023Review
- Single-cell transcriptome analysis reveals three sequential phases of gene expression during zebrafish sensory hair cell regeneration.Developmental cell · 2022Article
- Dual recombinases-based genetic lineage tracing for stem cell research with enhanced precision.Science China. Life sciences · 2021Review
- Cell-cell communication through FGF4 generates and maintains robust proportions of differentiated cell types in embryonic stem cells.Development (Cambridge, England) · 2021Article
- Lineage-tracing and translatomic analysis of damage-inducible mitotic cochlear progenitors identifies candidate genes regulating regeneration.PLoS biology · 2021Article
- Cell Tracking for Organoids: Lessons From Developmental Biology.Frontiers in cell and developmental biology · 2021Review
- Tissue-Nonspecific Alkaline Phosphatase-A Gatekeeper of Physiological Conditions in Health and a Modulator of Biological Environments in Disease.Biomolecules · 2020Review
- Mechanochemical symmetry breaking during morphogenesis of lateral-line sensory organs.Nature physics · 2020Article
- Article
- Confocal Microscope-Based Laser Ablation and Regeneration Assay in Zebrafish Interneuromast Cells.Journal of visualized experiments : JoVE · 2020Article
- Yap-lin28a axis targets let7-Wnt pathway to restore progenitors for initiating regeneration.eLife · 2020Article
- High-throughput dense reconstruction of cell lineages.Open biology · 2019Article
- Article
- Article
- Fishing forward and reverse: Advances in zebrafish phenomics.Mechanisms of development · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Despite the intrinsically stochastic nature of damage, sensory organs recapitulate normal architecture during repair to maintain function. Here we present a quantitative approach that combines live cell-lineage tracing and multifactorial classification by machine learning to reveal how cell identity and localization are coordinated during organ regeneration. We use the superficial neuromasts in larval zebrafish, which contain three cell classes organized in radial symmetry and a single planar-polarity axis. Visualization of cell-fate transitions at high temporal resolution shows that neuromasts regenerate isotropically to recover geometric order, proportions and polarity with exceptional accuracy. We identify mediolateral position within the growing tissue as the best predictor of cell-fate acquisition. We propose a self-regulatory mechanism that guides the regenerative process to identical outcome with minimal extrinsic information. The integrated approach that we have developed is simple and broadly applicable, and should help define predictive signatures of cellular behavior during the construction of complex tissues.
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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.