Evidence map›Paper›PMID 33593904›Full record

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

Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands.

Dong Xing, Longzhi Tan, Chi-Han Chang, Heng Li, X Sunney Xie

Open access · greenAbstract 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 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 67 citations in OpenAlex.

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  8. Disease insights from brain somatic mosaicism.Experimental & molecular medicine · 2026
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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

5 authors at 2 institutions in 2 countries.

Dong XingDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-8237-481X
Longzhi TanDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-5618-1299
Chi-Han ChangDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-7436-2931
Heng LiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215; hli@jimmy.harvard.edu sunneyxie@biopic.pku.edu.cn.ORCID 0000-0003-4874-2874
X Sunney XieInnovation Center for Genomics, Peking University, 100871 Beijing, China; hli@jimmy.harvard.edu sunneyxie@biopic.pku.edu.cn.
Harvard University · USPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-genome amplification (WGA). Here, we report a single-cell WGA method termed multiplexed end-tagging amplification of complementary strands (META-CS), which eliminates nearly all FPs by virtue of DNA complementarity, and achieved the highest accuracy thus far. We validated META-CS by sequencing kindred cells and human sperm, and applied it to other human tissues. Investigation of mature single human neurons revealed increasing SNVs with age and potentially unrepaired strand-specific oxidative guanine damage. We determined SNV frequencies along the genome in differentiated single human blood cells, and identified cell type-dependent mutational patterns for major types of lymphocytes.

Indexed as

DNA Copy Number VariationsAdultAgedFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansLeukocytes, MononuclearMaleMutationNeuronsNucleic Acid Amplification TechniquesReproducibility of ResultsSingle-Cell AnalysisSpermatozoacomplementary DNA strandsfalse positivesmutationssingle-cell sequencingTn5 transposition

Identifiers

PMID33593904
PMCPMC7923680
OpenAlexW3129532547

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.