Evidence map›Paper›PMID 34099548›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Accurate genomic variant detection in single cells with primary template-directed amplification.

Veronica Gonzalez-Pena, Sivaraman Natarajan, Yuntao Xia, David Klein, Robert Carter, Yakun Pang, Bridget Shaner, Kavya Annu, Daniel Putnam, Wenan Chen and 5 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing 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

126 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Somatic mutations and genome mosaicism in aging and disease.Experimental & molecular medicine · 2026
    Review
  6. Article
  7. Article
  8. Article
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  12. Review
  13. Article
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  16. Review
  17. Disease insights from brain somatic mosaicism.Experimental & molecular medicine · 2026
    Review
  18. Article
  19. Article
  20. Review

66 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

15 authors.

Veronica Gonzalez-PenaDepartment of Pediatrics, Stanford University, Stanford, CA 94304.
Sivaraman NatarajanDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105.ORCID 0000-0003-2608-2887
Yuntao XiaDepartment of Pediatrics, Stanford University, Stanford, CA 94304.
David KleinDepartment of Pediatrics, Stanford University, Stanford, CA 94304.ORCID 0000-0001-8852-3348
Robert CarterDepartment of Pediatrics, Stanford University, Stanford, CA 94304.
Yakun PangDepartment of Pediatrics, Stanford University, Stanford, CA 94304.
Bridget ShanerDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105.
Kavya AnnuDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105.
Daniel PutnamDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105.ORCID 0000-0001-8080-775X
Wenan ChenDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105.ORCID 0000-0003-0379-2368
Jon ConnellyDepartment of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105.ORCID 0000-0002-5564-1775
Shondra Pruett-MillerDepartment of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105.ORCID 0000-0002-3793-585X
Xiang ChenDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105.
John EastonDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105.ORCID 0000-0003-4503-6608
Charles GawadDepartment of Pediatrics, Stanford University, Stanford, CA 94304; cgawad@stanford.edu.ORCID 0000-0002-4728-8203

Funding

Creating a Catalog of Cancer Clonotype Drug Sensitivities with Single-CellGenome SequencingDP2CA239145 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GAWAD, CHARLES · 2018 to 2018
$2.3M
NCI NIH HHS DP2 CA239145NCI NIH HHS L40 CA162153
6 · The paper itself

Abstract

Improvements in whole genome amplification (WGA) would enable new types of basic and applied biomedical research, including studies of intratissue genetic diversity that require more accurate single-cell genotyping. Here, we present primary template-directed amplification (PTA), an isothermal WGA method that reproducibly captures >95% of the genomes of single cells in a more uniform and accurate manner than existing approaches, resulting in significantly improved variant calling sensitivity and precision. To illustrate the types of studies that are enabled by PTA, we developed direct measurement of environmental mutagenicity (DMEM), a tool for mapping genome-wide interactions of mutagens with single living human cells at base-pair resolution. In addition, we utilized PTA for genome-wide off-target indel and structural variant detection in cells that had undergone CRISPR-mediated genome editing, establishing the feasibility for performing single-cell evaluations of biopsies from edited tissues. The improved precision and accuracy of variant detection with PTA overcomes the current limitations of accurate WGA, which is the major obstacle to studying genetic diversity and evolution at cellular resolution.

Indexed as

Genetic VariationGenome, HumanNucleic Acid Amplification TechniquesSingle-Cell AnalysisTemplates, GeneticBase PairingCell Line, TumorCRISPR-Cas SystemsHumansMutagensPolymorphism, Single NucleotideMutagensgenome editing off-targetmutagenesissingle-cell sequencingwhole genome amplification

Identifiers

PMID34099548
PMCPMC8214697

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.