Evidence map›Paper›PMID 35394831›Full record

ArticleScience advances2022

Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing.

Alexander Y Maslov, Sergey Makhortov, Shixiang Sun, Johanna Heid, Xiao Dong, Moonsook Lee, Jan Vijg

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Reconstruction of Cell Diversity and Cell Lineages from Somatic Mutations in Single-Cell Transcriptomic Data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  3. Somatic mutations and genome mosaicism in aging and disease.Experimental & molecular medicine · 2026
    Review
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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

7 authors at 2 institutions in 3 countries.

Alexander Y MaslovDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-5402-8891
Sergey MakhortovDepartment of Programming and Information Technology, Voronezh State University, Voronezh, Russia.ORCID 0000-0001-6362-4468
Shixiang SunDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-5499-2963
Johanna HeidDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-7760-5217
Xiao DongDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-9987-5760
Moonsook LeeDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Jan VijgDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0002-8457-9595
Albert Einstein College of Medicine · USVoronezh State University · RU

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2014 to 2026
$36.9M
Cross-Validation of Genome Integrity Assays in Primary Human CellsU01ES029519 · NIEHS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SPIVACK, SIMON D, VIJG, JAN · 2018 to 2022
$3.6M
Integrative, age-related changes in genome and epigenome in human lung in relation to smokingU01HL145560 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SPIVACK, SIMON D, VIJG, JAN · 2019 to 2022
$2.6M
Computational evaluation of the causal role of somatic mutations in human agingR00AG056656 · NIA · UNIVERSITY OF MINNESOTA · PI DONG, XIAO · 2021 to 2023
$747k
NHLBI NIH HHS U01 HL145560NIA NIH HHS P01 AG017242NIA NIH HHS P01 AG047200NIA NIH HHS R00 AG056656NIEHS NIH HHS U01 ES029519
6 · The paper itself

Abstract

Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are unique for each cell, and the quantitative analysis of these low-abundance mutations in normal tissues remains a major challenge in biology. Here, we introduce single-molecule mutation sequencing (SMM-seq), a novel approach for quantitative identification of point mutations in normal cells and tissues.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsHumansMutation

Identifiers

PMID35394831
PMCPMC8993124
OpenAlexW4223544418

What OpenQuestion holds

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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.