Literature DB >> 33595768

Cell-to-cell variation in gene expression and the aging process.

Alexander R Mendenhall1,2, George M Martin3,4, Matt Kaeberlein3,4, Rozalyn M Anderson5.   

Abstract

There is tremendous variation in biological traits, and much of it is not accounted for by variation in DNA sequence, including human diseases and lifespan. Emerging evidence points to differences in the execution of the genetic program as a key source of variation, be it stochastic variation or programmed variation. Here we discuss variation in gene expression as an intrinsic property and how it could contribute to variation in traits, including the rate of aging. The review is divided into sections describing the historical context and evidence to date for nongenetic variation, the different approaches that may be used to detect nongenetic variation, and recent findings showing that the amount of variation in gene expression can be both genetically programmed and epigenetically controlled. Finally, we present evidence that changes in cell-to-cell variation in gene expression emerge as part of the aging process and may be linked to disease vulnerability as a function of age. These emerging concepts are likely to be important across the spectrum of biomedical research and may well underpin what we understand as biological aging.

Entities:  

Keywords:  Aging; Cell-to-cell; Epigenetics; Gene expression; Heterogeneity; Lifespan; Nongenetic; Stochastic; Systems biology

Mesh:

Year:  2021        PMID: 33595768      PMCID: PMC8050212          DOI: 10.1007/s11357-021-00339-9

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  84 in total

1.  Ageing: the old worm turns more slowly.

Authors:  Thomas B L Kirkwood; Caleb E Finch
Journal:  Nature       Date:  2002-10-24       Impact factor: 49.962

2.  Predicting mutation outcome from early stochastic variation in genetic interaction partners.

Authors:  Alejandro Burga; M Olivia Casanueva; Ben Lehner
Journal:  Nature       Date:  2011-12-07       Impact factor: 49.962

3.  Epigenetic differences arise during the lifetime of monozygotic twins.

Authors:  Mario F Fraga; Esteban Ballestar; Maria F Paz; Santiago Ropero; Fernando Setien; Maria L Ballestar; Damia Heine-Suñer; Juan C Cigudosa; Miguel Urioste; Javier Benitez; Manuel Boix-Chornet; Abel Sanchez-Aguilera; Charlotte Ling; Emma Carlsson; Pernille Poulsen; Allan Vaag; Zarko Stephan; Tim D Spector; Yue-Zhong Wu; Christoph Plass; Manel Esteller
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-11       Impact factor: 11.205

4.  A stress-sensitive reporter predicts longevity in isogenic populations of Caenorhabditis elegans.

Authors:  Shane L Rea; Deqing Wu; James R Cypser; James W Vaupel; Thomas E Johnson
Journal:  Nat Genet       Date:  2005-07-24       Impact factor: 38.330

5.  Toward computational identification of multiscale "tipping points" in acute inflammation and multiple organ failure.

Authors:  Gary An; Gary Nieman; Yoram Vodovotz
Journal:  Ann Biomed Eng       Date:  2012-04-21       Impact factor: 3.934

6.  Fitness trade-offs and environmentally induced mutation buffering in isogenic C. elegans.

Authors:  M Olivia Casanueva; Alejandro Burga; Ben Lehner
Journal:  Science       Date:  2011-12-15       Impact factor: 47.728

7.  The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870-1900.

Authors:  A M Herskind; M McGue; N V Holm; T I Sørensen; B Harvald; J W Vaupel
Journal:  Hum Genet       Date:  1996-03       Impact factor: 4.132

8.  Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Authors:  Hannah H Chang; Martin Hemberg; Mauricio Barahona; Donald E Ingber; Sui Huang
Journal:  Nature       Date:  2008-05-22       Impact factor: 49.962

9.  Chaperone biomarkers of lifespan and penetrance track the dosages of many other proteins.

Authors:  Nikolay Burnaevskiy; Bryan Sands; Soo Yun; Patricia M Tedesco; Thomas E Johnson; Matt Kaeberlein; Roger Brent; Alexander Mendenhall
Journal:  Nat Commun       Date:  2019-12-16       Impact factor: 14.919

10.  Variability in gene expression underlies incomplete penetrance.

Authors:  Arjun Raj; Scott A Rifkin; Erik Andersen; Alexander van Oudenaarden
Journal:  Nature       Date:  2010-02-18       Impact factor: 49.962

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  3 in total

Review 1.  In vivo assay and modelling of protein and mitochondrial turnover during aging.

Authors:  Hans S Bell; John Tower
Journal:  Fly (Austin)       Date:  2021-12       Impact factor: 2.160

2.  Aging at Evolutionary Crossroads: Longitudinal Gene Co-expression Network Analyses of Proximal and Ultimate Causes of Aging in Bats.

Authors:  Guillaume Bernard; Jérôme Teulière; Philippe Lopez; Eduardo Corel; François-Joseph Lapointe; Eric Bapteste
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

3.  Metabolism in the Midwest: research from the Midwest Aging Consortium at the 49th Annual Meeting of the American Aging Association.

Authors:  Michaela E Murphy; Akilavalli Narasimhan; Alexis Adrian; Ankur Kumar; Cara L Green; Carolina Soto-Palma; Chathurika Henpita; Christina Camell; Christopher S Morrow; Chung-Yang Yeh; Claire E Richardson; Cristal M Hill; Darcie L Moore; Dudley W Lamming; Eric R McGregor; Heather A Simmons; Heidi H Pak; Hua Bai; John M Denu; Josef Clark; Judith Simcox; Kishore Chittimalli; Korbyn Dahlquist; Kyoo-A Lee; Mariah Calubag; Mark Bouska; Matthew J Yousefzadeh; Michelle Sonsalla; Reji Babygirija; Rong Yuan; Tadataka Tsuji; Timothy Rhoads; Vinal Menon; Yagna Pr Jarajapu; Yun Zhu
Journal:  Geroscience       Date:  2021-10-29       Impact factor: 7.581

  3 in total

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