ArticleProceedings of the National Academy of Sciences of the United States of America2023
Theoretical guarantees for phylogeny inference from single-cell lineage tracing.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- Article
- Can you trust your reconstructed lineage tree? A homoplasy-based approach for irreversible evolution.bioRxiv : the preprint server for biology · 2026Article
- LAML-Pro: joint maximum likelihood inference of cell genotypes and cell lineage trees.Bioinformatics (Oxford, England) · 2026Article
- Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings.PLoS computational biology · 2026Article
- Tree reconstruction guarantees from CRISPR-Cas9 lineage tracing data using Neighbor-Joining.Genome research · 2026Article
- A comparison between CARLIN and DNA Typewriter in CRISPR-mediated lineage tracing.BMC bioinformatics · 2026Article
- LAML-Pro: Joint Maximum Likelihood Inference of Cell Genotypes and Cell Lineage Trees.bioRxiv : the preprint server for biology · 2026Article
- High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer.Science (New York, N.Y.) · 2025Article
- Maximum likelihood inference of time-scaled cell lineage trees with mixed-type missing data using LAML.Genome biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lineage-tracing technologies based on Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR-associated protein 9 (CRISPR-Cas9) genome editing have emerged as a powerful tool for investigating development in single-cell contexts, but exact reconstruction of the underlying clonal relationships in experiment is complicated by features of the data. These complications are functions of the experimental parameters in these systems, such as the Cas9 cutting rate, the diversity of indel outcomes, and the rate of missing data. In this paper, we develop two theoretically grounded algorithms for the reconstruction of the underlying single-cell phylogenetic tree as well as asymptotic bounds for the number of recording sites necessary for exact recapitulation of the ground truth phylogeny at high probability. In doing so, we explore the relationship between the problem difficulty and the experimental parameters, with implications for experimental design. Lastly, we provide simulations showing the empirical performance of these algorithms and showing that the trends in the asymptotic bounds hold empirically. Overall, this work provides a theoretical analysis of phylogenetic reconstruction in single-cell CRISPR-Cas9 lineage-tracing technologies.
Indexed as
Identifiers
What OpenQuestion holds
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.