ArticleNature2017
Synthetic recording and in situ readout of lineage information in single cells.
Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers.
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Who cites it
226 citing papers in PubMed.
- Reconstructing signaling histories of single cells via perturbation screens and transfer learning.Nature methods · 2026Article
- Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumor growth and metastasis.Nature genetics · 2026Article
- Multichannel genomic recording of biological information with ENGRAM.Nature protocols · 2026Review
- Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data.Nature biotechnology · 2026Article
- Genomic repeats for single-cell molecular recording.bioRxiv : the preprint server for biology · 2026Article
- SPACE-seq integrates spatial transcriptomics and lineage tracing in native tissues.Cell stem cell · 2026Article
- Article
- Comprehensive Lineage Tracing Maps the Landscape of Cell Fate Decisions in Mouse Embryogenesis.bioRxiv : the preprint server for biology · 2026Article
- BASELINE: a CRISPR base editing platform for mammalian-scale single-cell lineage tracing.Nucleic acids research · 2026Article
- LAML-Pro: joint maximum likelihood inference of cell genotypes and cell lineage trees.Bioinformatics (Oxford, England) · 2026Article
- Synthetic developmental engineering of human liver organogenesis.Development (Cambridge, England) · 2026Review
- Lineage tracing from cellular heritage to disease destiny.Nature genetics · 2026Review
- Bayesian inference of tissue-migration histories in metastatic cancer from cell-lineage tracing data.Cell genomics · 2026Article
- Tree reconstruction guarantees from CRISPR-Cas9 lineage tracing data using Neighbor-Joining.Genome research · 2026Article
- Using CRISPR barcoding as a molecular clock to capture dynamic processes at single-cell resolution.Genome research · 2026Article
- Article
- LAML-Pro: Joint Maximum Likelihood Inference of Cell Genotypes and Cell Lineage Trees.bioRxiv : the preprint server for biology · 2026Article
- VINE: Variational inference for scalable Bayesian reconstruction of species and cell-lineage phylogenies.bioRxiv : the preprint server for biology · 2026Article
- Genetic recording and in situ readout of single-cell signaling memory.Nature chemical biology · 2026Article
- Regenerative base editing enables deep lineage recording.bioRxiv : the preprint server for biology · 2026Article
166 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
Reconstructing the lineage relationships and dynamic event histories of individual cells within their native spatial context is a long-standing challenge in biology. Many biological processes of interest occur in optically opaque or physically inaccessible contexts, necessitating approaches other than direct imaging. Here we describe a synthetic system that enables cells to record lineage information and event histories in the genome in a format that can be subsequently read out of single cells in situ. This system, termed memory by engineered mutagenesis with optical in situ readout (MEMOIR), is based on a set of barcoded recording elements termed scratchpads. The state of a given scratchpad can be irreversibly altered by CRISPR/Cas9-based targeted mutagenesis, and later read out in single cells through multiplexed single-molecule RNA fluorescence hybridization (smFISH). Using MEMOIR as a proof of principle, we engineered mouse embryonic stem cells to contain multiple scratchpads and other recording components. In these cells, scratchpads were altered in a progressive and stochastic fashion as the cells proliferated. Analysis of the final states of scratchpads in single cells in situ enabled reconstruction of lineage information from cell colonies. Combining analysis of endogenous gene expression with lineage reconstruction in the same cells further allowed inference of the dynamic rates at which embryonic stem cells switch between two gene expression states. Finally, using simulations, we show how parallel MEMOIR systems operating in the same cell could enable recording and readout of dynamic cellular event histories. MEMOIR thus provides a versatile platform for information recording and in situ, single-cell readout across diverse biological systems.
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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 Socratic graph.