Evidence map›Paper›PMID 40705858›Full record

ArticleScience (New York, N.Y.)2025

High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer.

Luke W Koblan, Kathryn E Yost, Pu Zheng, William N Colgan, Matthew G Jones, Dian Yang, Arhan Kumar, Jaspreet Sandhu, Alexandra Schnell, Dawei Sun and 6 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. PALINCODE: Recording cell lineage with ternary palindromic CRISPR bits.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Luke W Koblan *Whitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0003-2814-4412
Kathryn E Yost *Whitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0001-6807-950X
Pu Zheng *Whitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0002-8047-1472
William N Colgan *Whitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0002-8328-4672
Matthew G JonesDepartment of Dermatology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0363-4493
Dian YangDepartment of Systems Biology, Columbia University, New York, NY, USA.ORCID 0000-0002-8455-0047
Arhan KumarWhitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0009-0006-5816-742X
Jaspreet SandhuWhitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0009-0009-2493-926X
Alexandra SchnellWhitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0003-3442-7750
Dawei SunBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-1551-4349
Can ErgenCenter for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0002-3096-2927
Reuben A SaundersWhitehead Institute for Biomedical Research, Cambridge, MA, USA.
Xiaowei ZhuangHoward Hughes Medical Institute, Chevy Chase, MD, USA.ORCID 0000-0002-6034-7853
William E AllenHoward Hughes Medical Institute, Chevy Chase, MD, USA.ORCID 0000-0002-3674-666X
Nir YosefDepartment of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0001-9004-1225
Jonathan S WeissmanWhitehead Institute for Biomedical Research, Cambridge, MA, USA.ORCID 0000-0003-2445-670X

Funding

Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
RESEARCH TRAINING IN DIGESTIVE DISEASES AND NUTRITIONT32DK007191 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1986 to 2026
$14.6M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Towards a Comprehensive, Spatiotemporal Roadmap of Cancer MetastasisDP2CA301079 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YANG, DIAN · 2024 to 2024
$1.5M
Investigating the cell intrinsic and extrinsic mechanisms governing lung cancer cell plasticityK22CA289207 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Dian Yang · 2024 to 2026
$526k
Tumor and Immune Cell Dynamics during Immunotherapy and Cancer ProgressionK00CA253729 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI YOST, KATHRYN ELIZABETH · 2021 to 2024
$401k
Quantitative modeling of extrachromosomal DNA (ecDNA) evolution in tumorsK99CA286968 · NCI · STANFORD UNIVERSITY · PI JONES, MATTHEW GREGORY · 2024 to 2025
$335k
Spatially-resolved, integrated cell state and lineage tracing to define progenitor cell dynamics in early mouse developmentK99HD118574 · NICHD · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Luke William Koblan · 2025 to 2026
$250k
Howard Hughes Medical InstituteNCI NIH HHS DP2 CA301079NCI NIH HHS K00 CA253729NCI NIH HHS K22 CA289207NCI NIH HHS K99 CA286968NHGRI NIH HHS RM1 HG009490NICHD NIH HHS K99 HD118574NIDDK NIH HHS T32 DK007191NIGMS NIH HHS T32 GM087237Wellcome Trust
6 · The paper itself

Abstract

Charting the spatiotemporal dynamics of cell fate determination in development and disease is a long-standing objective in biology. Here, we present the design, development, and extensive validation of PEtracer, a prime editing (PE)-based, evolving lineage tracing technology compatible with both single-cell sequencing and multimodal imaging methodologies, created to jointly profile cell state and lineage in dissociated cells or while preserving cellular context in tissues with high spatial resolution. Using PEtracer coupled with MERFISH spatial transcriptomic profiling in a syngeneic mouse model of tumor metastasis, we reconstructed the growth of individually seeded tumors in vivo and uncovered distinct modules of cell-intrinsic and -extrinsic factors that coordinate tumor growth. More generally, PEtracer enables systematic characterization of cell state and lineage relationships in intact tissues over biologically relevant temporal and spatial scales.

Indexed as

Cell LineageGene Expression ProfilingSingle-Cell AnalysisAnimalsMiceNeoplasm MetastasisTranscriptome

Identifiers

PMID40705858
PMCPMC12766569

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Registered trials

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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 OpenQuestion graph.