ArticleStem cell reports2022
Deciphering heterogeneous populations of migrating cells based on the computational assessment of their dynamic properties.
Article in Stem cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- fNIRS-Based characterization of adolescent depression using dynamic functional connectivity biomarkers in a verbal fluency task.BMC psychiatry · 2026Article
- Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity.Frontiers in systems biology · 2024Article
- Sepsis-induced Coagulopathy Subphenotype Identification by Latent Class AnalysisBalkan medical journal · 2023Article
- Coronin 2B Regulates Neuronal Migration via Rac1-Dependent Multipolar-Bipolar Transition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Neuronal migration is a highly dynamic process, and multiple cell movement metrics can be extracted from time-lapse imaging datasets. However, these parameters alone are often insufficient to evaluate the heterogeneity of neuroblast populations. We developed an analytical pipeline based on reducing the dimensions of the dataset by principal component analysis (PCA) and determining sub-populations using k-means, supported by the elbow criterion method and validated by a decision tree algorithm. We showed that neuroblasts derived from the same adult neural stem cell (NSC) lineage as well as across different lineages are heterogeneous and can be sub-divided into different clusters based on their dynamic properties. Interestingly, we also observed overlapping clusters for neuroblasts derived from different NSC lineages. We further showed that genetic perturbations or environmental stimuli affect the migratory properties of neuroblasts in a sub-cluster-specific manner. Our data thus provide a framework for assessing the heterogeneity of migrating neuroblasts.
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Registered trials
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