Evidence map›Paper›PMID 31249005›Full record

ReviewDevelopment (Cambridge, England)2019

Recording development with single cell dynamic lineage tracing.

Aaron McKenna, James A Gagnon

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
–field-weighted citation impact
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

108 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Clonal dynamics deviate from neutral drift in zebrafish spermatogenesis.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. PALINCODE: Recording cell lineage with ternary palindromic CRISPR bits.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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

2 authors.

Aaron McKennaDepartment of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA aaron.mckenna@dartmouth.edu james.gagnon@utah.edu.ORCID 0000-0001-8277-6512
James A GagnonCenter for Cell and Genome Science, University of Utah, Salt Lake City, UT 84112, USA aaron.mckenna@dartmouth.edu james.gagnon@utah.edu.ORCID 0000-0003-3978-6058

Funding

Multidimensional cell recording with single-cell genomicsR00HG010152 · NHGRI · DARTMOUTH COLLEGE · PI MCKENNA, AARON H · 2019 to 2021
$729k
Multidimensional cell recording with single-cell genomicsK99HG010152 · NHGRI · UNIVERSITY OF WASHINGTON · PI MCKENNA, AARON H · 2018 to 2018
$97k
6 · The paper itself

Abstract

Every animal grows from a single fertilized egg into an intricate network of cell types and organ systems. This process is captured in a lineage tree: a diagram of every cell's ancestry back to the founding zygote. Biologists have long sought to trace this cell lineage tree in individual organisms and have developed a variety of technologies to map the progeny of specific cells. However, there are billions to trillions of cells in complex organisms, and conventional approaches can only map a limited number of clonal populations per experiment. A new generation of tools that use molecular recording methods integrated with single cell profiling technologies may provide a solution. Here, we summarize recent breakthroughs in these technologies, outline experimental and computational challenges, and discuss biological questions that can be addressed using single cell dynamic lineage tracing.

Indexed as

Cell LineageAlgorithmsAnimalsCell DifferentiationDevelopmental BiologyDNA Barcoding, TaxonomicEpigenesis, GeneticGenetic EngineeringGreen Fluorescent ProteinsHumansModels, BiologicalMutationPhylogenySingle-Cell AnalysisGreen Fluorescent ProteinsLineage tracingLineage treesSingle cell

Identifiers

PMID31249005
PMCPMC6602349

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.