ArticleDevelopmental cell2024
Lineage motifs as developmental modules for control of cell type proportions.
Article in Developmental cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed, 9 citations in OpenAlex.
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- Beyond Binary: Cardiac Patterning as Probabilistic Fate Restriction.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Synthetic developmental engineering of human liver organogenesis.Development (Cambridge, England) · 2026Review
- Inheritance entropy: A model-independent method to probe the hereditary structure of cell lineage trees.PRX life · 2026Article
- Assessing the relative contributions of mosaic and regulatory developmental modes from single-cell trajectories.PLoS computational biology · 2025Article
- Decoding cell fate: integrated experimental and computational analysis at the single-cell level.Bioinformatics (Oxford, England) · 2025Review
- Engineering development: From the repressilator and toggle switch to synthetic developmental biology.Developmental biology · 2025Review
- Engineering Cell Fate with Adaptive Feedback Control.ACS synthetic biology · 2025Article
- Stereotyped Subclones Revealed by High-Density Single-Cell Lineage Tracing Support Robust Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Next generation lineage tracing and its applications to unravel development.NPJ systems biology and applications · 2025Review
- The lives of cells, recorded.Nature reviews. Genetics · 2025Review
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3 authors at 2 institutions in 1 country.
Funding
Abstract
In multicellular organisms, cell types must be produced and maintained in appropriate proportions. One way this is achieved is through committed progenitor cells or extrinsic interactions that produce specific patterns of descendant cell types on lineage trees. However, cell fate commitment is probabilistic in most contexts, making it difficult to infer these dynamics and understand how they establish overall cell type proportions. Here, we introduce Lineage Motif Analysis (LMA), a method that recursively identifies statistically overrepresented patterns of cell fates on lineage trees as potential signatures of committed progenitor states or extrinsic interactions. Applying LMA to published datasets reveals spatial and temporal organization of cell fate commitment in zebrafish and rat retina and early mouse embryonic development. Comparative analysis of vertebrate species suggests that lineage motifs facilitate adaptive evolutionary variation of retinal cell type proportions. LMA thus provides insight into complex developmental processes by decomposing them into simpler underlying modules.
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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.