Evidence map›Paper›PMID 26187634›Full record

ArticleBMC biology2015

Control of Caenorhabditis elegans germ-line stem-cell cycling speed meets requirements of design to minimize mutation accumulation.

Michael Chiang, Amanda Cinquin, Adrian Paz, Edward Meeds, Christopher A Price, Max Welling, Olivier Cinquin

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Analysis of the C. elegans Germline Stem Cell Pool.Methods in molecular biology (Clifton, N.J.) · 2023
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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 2 countries.

Michael ChiangDepartment of Developmental & Cell Biology, University of California, Irvine, California, USA.
Amanda CinquinDepartment of Developmental & Cell Biology, University of California, Irvine, California, USA.
Adrian PazDepartment of Developmental & Cell Biology, University of California, Irvine, California, USA.
Edward MeedsUniversity of Amsterdam, Institute for Informatics, Amsterdam, Netherlands.
Christopher A PriceDepartment of Developmental & Cell Biology, University of California, Irvine, California, USA.
Max WellingUniversity of Amsterdam, Institute for Informatics, Amsterdam, Netherlands.
Olivier CinquinDepartment of Developmental & Cell Biology, University of California, Irvine, California, USA. ocinquin@uci.edu.
University of California, Irvine · USUniversity of Amsterdam · NL

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Uncover Strategies Used By Biological SystemsP50GM076516 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GRATTON, ENRICO · 2007 to 2016
$25.1M
Biomedical Informatics Training ProgramT15LM007443 · NLM · UNIVERSITY OF CALIFORNIA-IRVINE · PI BALDI, PIERRE · 2002 to 2012
$9.3M
Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Mathematical, Computational and Systems BiologyT32EB009418 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, NIE, QING · 2009 to 2019
$2.4M
Control of cell cycling speed to delay the onset of senescenceR01GM102635 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CINQUIN, OLIVIER · 2012 to 2016
$1.4M
Training Program in Systems Biology of DevelopmentT32HD060555 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2009 to 2013
$1.3M
Direct tests of the role of stem cells in minimizing mutation accumulationR21AG042125 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CINQUIN, OLIVIER · 2012 to 2013
$396k
NCI NIH HHS CA-62203NCI NIH HHS P30 CA062203NIA NIH HHS R21 AG042125NIA NIH HHS R21-AG042125NIBIB NIH HHS T32 EB009418NIBIB NIH HHS T32-EB009418NICHD NIH HHS T32 HD060555NICHD NIH HHS T32-HD060555NIGMS NIH HHS P50 GM076516NIGMS NIH HHS P50-GM076516NIGMS NIH HHS R01 GM102635NIGMS NIH HHS R01-GM102635NIH HHS P40 OD010440NIH HHS P40-OD010440NLM NIH HHS T15 LM007443NLM NIH HHS T15-LM007443
6 · The paper itself

Abstract

backgroundStem cells are thought to play a critical role in minimizing the accumulation of mutations, but it is not clear which strategies they follow to fulfill that performance objective. Slow cycling of stem cells provides a simple strategy that can minimize cell pedigree depth and thereby minimize the accumulation of replication-dependent mutations. Although the power of this strategy was recognized early on, a quantitative assessment of whether and how it is employed by biological systems is missing.

resultsHere we address this problem using a simple self-renewing organ - the C. elegans gonad - whose overall organization is shared with many self-renewing organs. Computational simulations of mutation accumulation characterize a tradeoff between fast development and low mutation accumulation, and show that slow-cycling stem cells allow for an advantageous compromise to be reached. This compromise is such that worm germ-line stem cells should cycle more slowly than their differentiating counterparts, but only by a modest amount. Experimental measurements of cell cycle lengths derived using a new, quantitative technique are consistent with these predictions.

conclusionsOur findings shed light both on design principles that underlie the role of stem cells in delaying aging and on evolutionary forces that shape stem-cell gene regulatory networks.

Indexed as

Mutation AccumulationAgingAnimalsCaenorhabditis elegansCell CycleCell DifferentiationGene Regulatory NetworksGerm CellsSignal Transduction

Identifiers

PMID26187634
PMCPMC4538916
OpenAlexW2161213689

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.