Evidence map›Paper›PMID 28737476›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2017

A high-fidelity method for genomic sequencing of single somatic cells reveals a very high mutational burden.

Jan Vijg, Xiao Dong, Lei Zhang

Open access · bronzeAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Jan VijgDepartment of Genetics, Albert Einstein College of Medicine, Michael F. Price Center, Bronx, NY 10461, USA.
Xiao DongDepartment of Genetics, Albert Einstein College of Medicine, Michael F. Price Center, Bronx, NY 10461, USA.
Lei ZhangDepartment of Genetics, Albert Einstein College of Medicine, Michael F. Price Center, Bronx, NY 10461, USA.
Albert Einstein College of Medicine · US

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
Einstein's Nathan Shock Center of Excellence in Basic Biology of AgingP30AG038072 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HUFFMAN, DEREK MAJOR · 2010 to 2024
$10.8M
(PQB4) Age-cancer interplay of genome and epi-genome in human lungR01CA180126 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI AUTON, ADAM, SPIVACK, SIMON D · 2013 to 2016
$2.8M
NCI NIH HHS R01 CA180126NIA NIH HHS P01 AG017242NIA NIH HHS P01 AG047200NIA NIH HHS P30 AG038072
6 · The paper itself

Abstract

Postzygotic mutations in somatic cells lead to genome mosaicism and can be the cause of cancer, possibly other human diseases and aging. Somatic mutations are difficult to detect in bulk tissue samples. Here, we review the available assays for measuring somatic mutations, with a focus on recent single-cell, whole genome sequencing methods. Impact statement Somatic mutations cause cancer, possibly other diseases and aging. Yet, very little is known about the frequency of such mutations in vivo, their distribution across the genome, and their possible functional consequences other than cancer. Even in cancer, we do not know the heterogeneity of mutations within a tumor and if seemingly normal cells in its surroundings already have elevated mutation frequencies. Here, we review a new, whole genome amplification system that allows accurate quantification and characterization of single-cell mutational landscapes in human cells and tissues in relation to disease.

Indexed as

GenomicsMutation RateSingle-Cell AnalysisAnimalsHumansAgingcancergenomic featuresheterogeneitysomatic mutationswhole genome amplification

Identifiers

PMID28737476
PMCPMC5529006
OpenAlexW2736742272

What OpenQuestion holds

Textmetadata
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.