Evidence map›Paper›PMID 25121484›Full record

ArticlePLoS computational biology2014

The protective role of symmetric stem cell division on the accumulation of heritable damage.

Peter T McHale, Arthur D Lander

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Cell dynamics in tumour environment after treatments.Journal of the Royal Society, Interface · 2017
    Article
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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

2 authors at 1 institution in 1 country.

Peter T McHaleCenter for Complex Biological Systems & Department of Cell and Developmental Biology, University of California Irvine, Irvine, California, United States of America.
Arthur D LanderCenter for Complex Biological Systems & Department of Cell and Developmental Biology, University of California Irvine, Irvine, California, United States of America.
University of California, Irvine · US

Funding

Uncover Strategies Used By Biological SystemsP50GM076516 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARDWELL, LEE S · 2007 to 2016
$25.1M
Feedback, lineages and cancer: A multidisciplinary approach.RC2CA148493 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, LOWENGRUB, JOHN · 2009 to 2010
$2.0M
NCI NIH HHS RC2 CA148493NCI NIH HHS RC2-CA148493NIGMS NIH HHS P50 GM076516NIGMS NIH HHS P50-GM07656
6 · The paper itself

Abstract

Stem cell divisions are either asymmetric-in which one daughter cell remains a stem cell and one does not-or symmetric, in which both daughter cells adopt the same fate, either stem or non-stem. Recent studies show that in many tissues operating under homeostatic conditions stem cell division patterns are strongly biased toward the symmetric outcome, raising the question of whether symmetry confers some benefit. Here, we show that symmetry, via extinction of damaged stem-cell clones, reduces the lifetime risk of accumulating phenotypically silent heritable damage (mutations or aberrant epigenetic changes) in individual stem cells. This effect is greatest in rapidly cycling tissues subject to accelerating rates of damage accumulation over time, a scenario that describes the progression of many cancers. A decrease in the rate of cellular damage accumulation may be an important factor favoring symmetric patterns of stem cell division.

Indexed as

Models, GeneticStem CellsAnimalsCell DivisionGenes, APCGenomic InstabilityIntestine, SmallMiceMutation

Identifiers

PMID25121484
PMCPMC4133021
OpenAlexW2008158683

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.