NuclearIDTracker resolves intestinal cell identity and lineage dynamics through nuclear phenotypic signatures
bioRxiv (Cold Spring Harbor Laboratory)
Abstract
Abstract Organoid models have transformed our understanding of intestinal renewal. Fluorescent imaging has been extensively used to identify key cell types and their differentiation pathways, but immunofluorescence provides only static readouts, whereas live imaging requires fluorescent-reporter engineering and is constrained by limited multiplexing and spectral overlap. Here, we introduce NuclearIDTracker, an explainable machine-learning framework that infers cell identity directly from 3D nuclear segmentations. Using a single nuclear marker, NuclearIDTracker accurately classifies intestinal cell types and integrates with single-cell tracking to resolve lineages and reconstruct dynamic state transitions during organoid development. We show that TA-like cells, rather than stem cells, drive early crypt formation and generate enterocyte and Paneth lineages, as well as the stem-cell population, which emerges only later and subsequently replenishes the TA-like compartment. Following stem-cell ablation, crypt regeneration was not driven by a single discrete cell type. Instead, multiple epithelial populations converged on a proliferative regenerative state with a nuclear phenotypic signature that resembled, but remained distinct from, that of homeostatic TA-like cells, and a YAP/TAZ-associated fetal-like transcriptional signature. Thus, nuclear phenotypic signatures resolve cell identity and reveal coordinated epithelial plasticity during crypt regeneration. NuclearIDTracker establishes a non-perturbative tool to quantify cell identity and state dynamics at single-cell resolution, revealing previously inaccessible biological dynamics and expanding the toolkit for studying epithelial homeostasis, regeneration, and disease.
Authors 12
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University Medical Center Utrecht · Oncode Institute
Affiliation as printed
Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG Utrecht, the Netherlands
Oncode Institute, The Netherlands
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University Medical Center Utrecht · Oncode Institute
Affiliation as printed
Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG Utrecht, the Netherlands
Oncode Institute, The Netherlands
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University Medical Center Utrecht · Oncode Institute
Affiliation as printed
Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG Utrecht, the Netherlands
Oncode Institute, The Netherlands
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Royal Netherlands Academy of Arts and Sciences · University Medical Center Utrecht · Oncode Institute
Affiliation as printed
Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, the Netherlands
Oncode Institute, The Netherlands
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Institute for Atomic and Molecular Physics
Affiliation as printed
Autonomous Matter Department, AMOLF institute, Amsterdam, the Netherlands
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Affiliation as printed
Medicine, University of Basel
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Leiden University Medical Center
Affiliation as printed
Cell and Chemical Biology, Leiden University Medical Center
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University Medical Center Utrecht
Affiliation as printed
Lab of Cellular Disease Models, Department of Paediatrics, Regenerative Medicine Centre Utrecht, UMC Utrecht, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
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University Medical Center Utrecht
Affiliation as printed
Lab of Cellular Disease Models, Department of Paediatrics, Regenerative Medicine Centre Utrecht, UMC Utrecht, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
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Leiden University · Institute for Atomic and Molecular Physics
Affiliation as printed
Autonomous Matter Department, AMOLF institute, Amsterdam, the Netherlands
Institute of Biology Leiden, Leiden University, Leiden, The Netherlands
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Institute for Atomic and Molecular Physics · Delft University of Technology
Affiliation as printed
Autonomous Matter Department, AMOLF institute, Amsterdam, the Netherlands
Bionanoscience Department and Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, Netherlands
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Maria J. Rodríguez Colman corresponding
University Medical Center Utrecht · Oncode Institute
Affiliation as printed
Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG Utrecht, the Netherlands
Oncode Institute, The Netherlands
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