ArticleGenome research2020
RETrace: simultaneous retrospective lineage tracing and methylation profiling of single cells.
Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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
18 citing papers in PubMed, 25 citations in OpenAlex.
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- The Use of Single-Cell Mitochondrial DNA SNP Combinations for Distinguishing Organ-Specific Cell Types.Cells · 2026Article
- Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025Review
- Maximum likelihood inference of time-scaled cell lineage trees with mixed-type missing data using LAML.Genome biology · 2025Article
- Barcodes based on nucleic acid sequences: Applications and challenges (Review).Molecular medicine reports · 2025Review
- Retrospective Lineage Tracing: An Optimal Approach for the Study of Intrinsic Cellular Development.Cureus · 2025Review
- High-fidelity, large-scale targeted profiling of microsatellites.Genome research · 2024Article
- DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination.Cells · 2023Review
- Single-cell sequencing technology applied to epigenetics for the study of tumor heterogeneity.Clinical epigenetics · 2023Review
- Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models.Genome research · 2023Article
- Single-Cell Molecular Barcoding to Decode Multimodal Information Defining Cell States.Molecules and cells · 2023Review
- Single-Cell Multiomics Techniques: From Conception to Applications.Frontiers in cell and developmental biology · 2022Review
- How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.Biochemical Society transactions · 2021Review
- Applications of Single-Cell DNA Sequencing.Annual review of genomics and human genetics · 2021Review
- Differential DNA methylation and changing cell-type proportions as fibrotic stage progresses in NAFLD.Clinical epigenetics · 2021Article
- Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate.Current opinion in systems biology · 2021Article
- The Role of Cell Tracing and Fate Mapping Experiments in Cardiac Outflow Tract Development, New Opportunities through Emerging Technologies.Journal of cardiovascular development and disease · 2021Review
- The Skull's Girder: A Brief Review of the Cranial Base.Journal of developmental biology · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Retrospective lineage tracing harnesses naturally occurring mutations in cells to elucidate single cell development. Common single-cell phylogenetic fate mapping methods have utilized highly mutable microsatellite loci found within the human genome. Such methods were limited by the introduction of in vitro noise through polymerase slippage inherent in DNA amplification, which we characterized to be approximately 10-100× higher than the in vivo replication mutation rate. Here, we present RETrace, a method for simultaneously capturing both microsatellites and methylation-informative cytosines to characterize both lineage and cell type, respectively, from the same single cell. An important unique feature of RETrace was the introduction of linear amplification of microsatellites in order to reduce in vitro amplification noise. We further coupled microsatellite capture with single-cell reduced representation bisulfite sequencing (scRRBS), to measure the CpG methylation status on the same cell for cell type inference. When compared to existing retrospective lineage tracing methods, RETrace achieved higher accuracy (88% triplet accuracy from an ex vivo HCT116 tree) at a higher cell division resolution (lowering the required number of cell division difference between single cells by approximately 100 divisions). Simultaneously, RETrace demonstrated the ability to capture on average 150,000 unique CpGs per single cell in order to accurately determine cell type. We further formulated additional developments that would allow high-resolution mapping on microsatellite-stable cells or tissues with RETrace. Overall, we present RETrace as a foundation for multi-omics lineage mapping and cell typing of single cells.
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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.