ReviewNature reviews. Genetics2020
Lineage tracing meets single-cell omics: opportunities and challenges.
Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 367 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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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
367 citing papers in PubMed.
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- scDynaBar: A Step-By-Step Experimental and Computational Guide for Time-Resolved CRISPR Barcoding at Single-Cell Resolution.Bio-protocol · 2026Article
- Dynamic control of cell state transitions during tissue morphogenesis.The EMBO journal · 2026Review
- PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses.Cell systems · 2026Article
- Translational insights and clinical challenges of targeting cancer stem cells.Signal transduction and targeted therapy · 2026Review
- SPACE-seq integrates spatial transcriptomics and lineage tracing in native tissues.Cell stem cell · 2026Article
- Multiscale learning of gene network-driven phenotypic dynamics of single cells.Molecular systems biology · 2026Article
- Unify learns cellular evolution with universal multimodal embeddings.Nature communications · 2026Article
- Lineage-aware stochastic modeling reveals gene-expression dynamics in development and disease.bioRxiv : the preprint server for biology · 2026Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Brain organoids and genome editing: A new era in understanding human brain development and disorders.Neural regeneration research · 2026Article
- LAML-Pro: joint maximum likelihood inference of cell genotypes and cell lineage trees.Bioinformatics (Oxford, England) · 2026Article
- Comparison of Human Melanoma Single Cell Profiles to Evolutionary Medicine Model Xiphophorus Provides Insights in Disease Control.Pigment cell & melanoma research · 2026Article
- Accurate trajectory inference in time-series spatial transcriptomics with structurally-constrained optimal transport.Nature communications · 2026Article
- Fate Bifurcation of Cellular Senescence: Dynamic Regulation from Tumor Suppression to Recurrence Risk.Cells · 2026Review
- Epigenetic de-repression of basal cell metaplasia in aging AT2 cells is a risk factor for idiopathic pulmonary fibrosis (IPF).bioRxiv : the preprint server for biology · 2026Article
- Human stem cell models in cerebral cavernous malformations.Stem cell research & therapy · 2026Review
- ArchVelo: archetypal velocity modeling for single-cell multi-omic trajectories.Nature communications · 2026Article
- Inheritance entropy: A model-independent method to probe the hereditary structure of cell lineage trees.PRX life · 2026Article
307 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
2 authors.
Funding
Abstract
A fundamental goal of developmental and stem cell biology is to map the developmental history (ontogeny) of differentiated cell types. Recent advances in high-throughput single-cell sequencing technologies have enabled the construction of comprehensive transcriptional atlases of adult tissues and of developing embryos from measurements of up to millions of individual cells. Parallel advances in sequencing-based lineage-tracing methods now facilitate the mapping of clonal relationships onto these landscapes and enable detailed comparisons between molecular and mitotic histories. Here we review recent progress and challenges, as well as the opportunities that emerge when these two complementary representations of cellular history are synthesized into integrated models of cell differentiation.
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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.