Evidence map›Paper›PMID 30688650›Full record

ArticleeLife2019

Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?

Irepan Salvador-Martínez, Marco Grillo, Michalis Averof, Maximilian J Telford

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 89 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Regenerative base editing enables deep lineage recording.bioRxiv : the preprint server for biology · 2026
    Article
  10. The lives of cells, recorded.Nature reviews. Genetics · 2025
    Review
  11. A Bayesian phylodynamic inference framework for single-cell CRISPR/Cas9 lineage tracing barcode data with dependent target sites.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  12. Tracking Somatic Mutations for Lineage Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Computational Methods for Lineage Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  14. Barcoding Notch signaling in the developing brain.Development (Cambridge, England) · 2024
    Article
  15. Article
  16. Barcoding Notch signaling in the developing brain.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Irepan Salvador-Martínez *Centre for Life's Origins and Evolution, Department of Genetics Evolution and Environment, University College London, London, United Kingdom.ORCID 0000-0002-3188-9784
Marco Grillo *Institut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon, Lyon, France.ORCID 0000-0003-2155-0645
Michalis AverofInstitut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon, Lyon, France.ORCID 0000-0002-6803-7251
Maximilian J TelfordCentre for Life's Origins and Evolution, Department of Genetics Evolution and Environment, University College London, London, United Kingdom.ORCID 0000-0002-3749-5620
Centre for Life · GBÉcole Normale Supérieure de Lyon · FR

Funding

Human Frontier Science Program HFSP RGP0002/2016
6 · The paper itself

Abstract

Cell lineages provide the framework for understanding how cell fates are decided during development. Describing cell lineages in most organisms is challenging; even a fruit fly larva has ~50,000 cells and a small mammal has >1 billion cells. Recently, the idea of applying CRISPR to induce mutations during development, to be used as heritable markers for lineage reconstruction, has been proposed by several groups. While an attractive idea, its practical value depends on the accuracy of the cell lineages that can be generated. Here, we use computer simulations to estimate the performance of these approaches under different conditions. We incorporate empirical data on CRISPR-induced mutation frequencies in Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Indexed as

Cell LineageAnimalsBase SequenceCell DivisionClustered Regularly Interspaced Short Palindromic RepeatsComputer SimulationDrosophilaHumansModels, BiologicalMutationMutation Ratecell lineagecomputer simulationCRISPR-based lineage recordersdevelopmental biologyD. melanogasterzebrafish

Identifiers

PMID30688650
PMCPMC6349403
OpenAlexW2952814943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.