ArticleNature genetics2024
Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution.
Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumor growth and metastasis.Nature genetics · 2026Article
- Epithelial-mesenchymal transition in carcinoma: navigating phenotypic states to target resistance and metastasis.Cancer metastasis reviews · 2026Review
- Exploring the landscape of targetable alterations in patients with glioblastoma.Nature reviews. Clinical oncology · 2026Review
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- BASELINE: a CRISPR base editing platform for mammalian-scale single-cell lineage tracing.Nucleic acids research · 2026Article
- Lineage-aware stochastic modeling reveals gene-expression dynamics in development and disease.bioRxiv : the preprint server for biology · 2026Article
- Spatial ecology of breast cancer reveals co-evolution of proliferative and dormant niches.Genome medicine · 2026Article
- Longitudinal changes in DNA methylation in IDH-mutant glioma fuel disease progression through altered cell state differentiation.Nature genetics · 2026Article
- Hierarchical lineage tracing reveals diverse pathways of cytarabine resistance.Nature communications · 2026Article
- Bayesian inference of tissue-migration histories in metastatic cancer from cell-lineage tracing data.Cell genomics · 2026Article
- Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings.PLoS computational biology · 2026Article
- PALINCODE: Recording cell lineage with ternary palindromic CRISPR bits.bioRxiv : the preprint server for biology · 2026Article
- Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.Cancer research · 2026Article
- Exploiting tumor lineage features for precision cancer therapy.Trends in cancer · 2026Review
- Chromatin architecture and physical constriction cooperate in phenotype switching and cancer cell dissemination.bioRxiv : the preprint server for biology · 2026Article
- Modeling mitochondrial inheritance enables high-precision single-cell lineage tracing in humans.bioRxiv : the preprint server for biology · 2026Article
- Inferring Cell Differentiation Dynamics with Unobserved Progenitors.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Single-cell sequencing has characterized cell state heterogeneity across diverse healthy and malignant tissues. However, the plasticity or heritability of these cell states remains largely unknown. To address this, we introduce PATH (phylogenetic analysis of trait heritability), a framework to quantify cell state heritability versus plasticity and infer cell state transition and proliferation dynamics from single-cell lineage tracing data. Applying PATH to a mouse model of pancreatic cancer, we observed heritability at the ends of the epithelial-to-mesenchymal transition spectrum, with higher plasticity at more intermediate states. In primary glioblastoma, we identified bidirectional transitions between stem- and mesenchymal-like cells, which use the astrocyte-like state as an intermediary. Finally, we reconstructed a phylogeny from single-cell whole-genome sequencing in B cell acute lymphoblastic leukemia and delineated the heritability of B cell differentiation states linked with genetic drivers. Altogether, PATH replaces qualitative conceptions of plasticity with quantitative measures, offering a framework to study somatic evolution.
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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.