Evidence map›Paper›PMID 33692551›Full record

ArticleNature protocols2021

Lineage barcoding in mice with homing CRISPR.

Kathleen Leeper, Kian Kalhor, Andyna Vernet, Amanda Graveline, George M Church, Prashant Mali, Reza Kalhor

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. MAPseq2: a sensitive barcoded connectomics method.bioRxiv : the preprint server for biology · 2026
    Article
  6. Regenerative base editing enables deep lineage recording.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Toward DNA-Based Recording of Biological Processes.International journal of molecular sciences · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

7 authors at 3 institutions in 1 country.

Kathleen LeeperDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-1728-9683
Kian KalhorDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-9416-3078
Andyna VernetWyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA.
Amanda GravelineWyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA.
George M ChurchWyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3535-2076
Prashant MaliDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Reza KalhorDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. kalhor@jhu.edu.ORCID http://orcid.org/0000-0002-5558-7545
Harvard University · USJohns Hopkins University · USUniversity of California San Diego · US

Funding

Recording neural activities onto DNAR01MH103910 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BOYDEN, EDWARD S., CHURCH, GEORGE M · 2013 to 2017
$9.5M
Dissecting the interplay of gene regulatory networks and cellular niche on cell fate determinationR01GM123313 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALI, PRASHANT · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM123313NIMH NIH HHS R01 MH103910
6 · The paper itself

Abstract

Classic approaches to mapping the developmental history of cells in vivo have relied on techniques that require complex interventions and often capture only a single trajectory or moment in time. We have previously described a developmental barcoding system to address these issues using synthetically induced mutations to record information about each cell's lineage in its genome. This system uses MARC1 mouse lines, which have multiple homing guide RNAs that each generate hundreds of mutant alleles and combine to produce an exponential diversity of barcodes. Here, we detail two MARC1 lines that are available from a public repository. We describe strategies for using MARC1 mice and experimental design considerations. We provide a protocol for barcode retrieval and sequencing as well as the analysis of the sequencing data. This protocol generates barcodes based on synthetically induced mutations in mice to enable lineage analysis.

Indexed as

PhylogenyAnimalsCRISPR-Cas SystemsDNA Barcoding, TaxonomicMiceMutationRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID33692551
PMCPMC8049957
OpenAlexW3135050612

What OpenQuestion holds

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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.