Evidence map›Paper›PMID 37852258›Full record

ArticleCell2023

A mouse model with high clonal barcode diversity for joint lineage, transcriptomic, and epigenomic profiling in single cells.

Li Li, Sarah Bowling, Sean E McGeary, Qi Yu, Bianca Lemke, Karel Alcedo, Yuemeng Jia, Xugeng Liu, Mark Ferreira, Allon M Klein and 2 more

Abstract read
In one paragraph

Article in Cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
20.2field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 131 citations in OpenAlex.

  1. Review
  2. Review
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  5. Review
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  7. Article
  8. A new era of lineage tracing.Cell research · 2026
    Article
  9. Article
  10. bioRxiv : the preprint server for biology · 2026
    Article
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  12. Review
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40 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

12 authors at 3 institutions in 2 countries.

Li LiStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Sarah BowlingStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Sean E McGearyDepartment of Systems Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Qi YuStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Bianca LemkeStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Karel AlcedoStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Yuemeng JiaStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Xugeng LiuStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Mark FerreiraStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Allon M KleinDepartment of Systems Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Shou-Wen WangWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; School of Science, Westlake University, Hangzhou, Zhejiang 310024, China. Electronic address: wangshouwen@westlake.edu.cn.
Fernando D CamargoStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA. Electronic address: fernando.camargo@childrens.harvard.edu.
Harvard University · USBoston Children's Hospital · USWestlake University · CN

Funding

Transcriptional and epigenetic heterogeneity of stem/progenitor cellsP01HL131477 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Fernando Camargo · 2017 to 2026
$24.6M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Molecular regulation of native hematopoiesisR01HL128850 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI CAMARGO, FERNANDO · 2016 to 2024
$4.9M
Generation of a temporal, spatial, and molecular map of in situ hematopoiesisRC2DK131963 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Fernando Camargo, Charles P. Lin · 2022 to 2026
$4.8M
High resolution lineage tracing of developmental hematopoiesisR01HL158192 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Fernando Camargo, Sahand Hormoz · 2023 to 2026
$3.0M
Image guided profiling of the native HSC nicheR01DK123216 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, FERNANDO, LIN, CHARLES P. · 2019 to 2021
$941k
Cellular barcoding of developmental hematopoiesisK99HL164969 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI BOWLING, SARAH · 2022 to 2023
$308k
NHLBI NIH HHS K99 HL164969NHLBI NIH HHS P01 HL131477NHLBI NIH HHS R01 HL128850NHLBI NIH HHS R01 HL158192NICHD NIH HHS P50 HD105351NIDDK NIH HHS R01 DK123216NIDDK NIH HHS RC2 DK131963Wellcome TrustWellcome Trust 215920/Z/19/Z
6 · The paper itself

Abstract

Cellular lineage histories and their molecular states encode fundamental principles of tissue development and homeostasis. Current lineage-recording mouse models have insufficient barcode diversity and single-cell lineage coverage for profiling tissues composed of millions of cells. Here, we developed DARLIN, an inducible Cas9 barcoding mouse line that utilizes terminal deoxynucleotidyl transferase (TdT) and 30 CRISPR target sites. DARLIN is inducible, generates massive lineage barcodes across tissues, and enables the detection of edited barcodes in ∼70% of profiled single cells. Using DARLIN, we examined fate bias within developing hematopoietic stem cells (HSCs) and revealed unique features of HSC migration. Additionally, we established a protocol for joint transcriptomic and epigenomic single-cell measurements with DARLIN and found that cellular clonal memory is associated with genome-wide DNA methylation rather than gene expression or chromatin accessibility. DARLIN will enable the high-resolution study of lineage relationships and their molecular signatures in diverse tissues and physiological contexts.

Indexed as

EpigenomicsTranscriptomeAnimalsCell LineageDisease Models, AnimalDNAGene Expression ProfilingMiceDNADNA methylationhematopoiesislineage tracingmultiomicssingle cell

Identifiers

PMID37852258
PMCPMC13409469
OpenAlexW4387709141

What OpenQuestion holds

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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.