Literature DB >> 29073021

Multigenerational silencing dynamics control cell aging.

Yang Li1, Meng Jin2,3, Richard O'Laughlin4, Philip Bittihn2,3, Lev S Tsimring2,3, Lorraine Pillus1,5, Jeff Hasty1,2,3,4, Nan Hao6,2,3.   

Abstract

Cellular aging plays an important role in many diseases, such as cancers, metabolic syndromes, and neurodegenerative disorders. There has been steady progress in identifying aging-related factors such as reactive oxygen species and genomic instability, yet an emerging challenge is to reconcile the contributions of these factors with the fact that genetically identical cells can age at significantly different rates. Such complexity requires single-cell analyses designed to unravel the interplay of aging dynamics and cell-to-cell variability. Here we use microfluidic technologies to track the replicative aging of single yeast cells and reveal that the temporal patterns of heterochromatin silencing loss regulate cellular life span. We found that cells show sporadic waves of silencing loss in the heterochromatic ribosomal DNA during the early phases of aging, followed by sustained loss of silencing preceding cell death. Isogenic cells have different lengths of the early intermittent silencing phase that largely determine their final life spans. Combining computational modeling and experimental approaches, we found that the intermittent silencing dynamics is important for longevity and is dependent on the conserved Sir2 deacetylase, whereas either sustained silencing or sustained loss of silencing shortens life span. These findings reveal that the temporal patterns of a key molecular process can directly influence cellular aging, and thus could provide guidance for the design of temporally controlled strategies to extend life span.

Entities:  

Keywords:  chromatin silencing; computational modeling; microfluidics; replicative aging; single-cell analysis

Mesh:

Substances:

Year:  2017        PMID: 29073021      PMCID: PMC5651738          DOI: 10.1073/pnas.1703379114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  48 in total

1.  Cellular senescence in yeast is regulated by rDNA noncoding transcription.

Authors:  Kimiko Saka; Satoru Ide; Austen R D Ganley; Takehiko Kobayashi
Journal:  Curr Biol       Date:  2013-08-29       Impact factor: 10.834

2.  Two genes differentially regulated in the cell cycle and by DNA-damaging agents encode alternative regulatory subunits of ribonucleotide reductase.

Authors:  S J Elledge; R W Davis
Journal:  Genes Dev       Date:  1990-05       Impact factor: 11.361

Review 3.  Genome instability and aging.

Authors:  Jan Vijg; Yousin Suh
Journal:  Annu Rev Physiol       Date:  2013       Impact factor: 19.318

4.  The SAGA histone deubiquitinase module controls yeast replicative lifespan via Sir2 interaction.

Authors:  Mark A McCormick; Amanda G Mason; Stephan J Guyenet; Weiwei Dang; Renee M Garza; Marc K Ting; Rick M Moller; Shelley L Berger; Matt Kaeberlein; Lorraine Pillus; Albert R La Spada; Brian K Kennedy
Journal:  Cell Rep       Date:  2014-07-18       Impact factor: 9.423

5.  The Chromatin and Transcriptional Landscape of Native Saccharomyces cerevisiae Telomeres and Subtelomeric Domains.

Authors:  Aisha Ellahi; Deborah M Thurtle; Jasper Rine
Journal:  Genetics       Date:  2015-03-30       Impact factor: 4.562

6.  Single-cell observations reveal intermediate transcriptional silencing states.

Authors:  Eugenia Y Xu; Karl A Zawadzki; James R Broach
Journal:  Mol Cell       Date:  2006-07-21       Impact factor: 17.970

7.  The SIR2/3/4 complex and SIR2 alone promote longevity in Saccharomyces cerevisiae by two different mechanisms.

Authors:  M Kaeberlein; M McVey; L Guarente
Journal:  Genes Dev       Date:  1999-10-01       Impact factor: 11.361

8.  Loss of transcriptional silencing causes sterility in old mother cells of S. cerevisiae.

Authors:  T Smeal; J Claus; B Kennedy; F Cole; L Guarente
Journal:  Cell       Date:  1996-02-23       Impact factor: 41.582

9.  Nucleosome loss leads to global transcriptional up-regulation and genomic instability during yeast aging.

Authors:  Zheng Hu; Kaifu Chen; Zheng Xia; Myrriah Chavez; Sangita Pal; Ja-Hwan Seol; Chin-Chuan Chen; Wei Li; Jessica K Tyler
Journal:  Genes Dev       Date:  2014-02-15       Impact factor: 11.361

10.  Frequency-modulated nuclear localization bursts coordinate gene regulation.

Authors:  Long Cai; Chiraj K Dalal; Michael B Elowitz
Journal:  Nature       Date:  2008-09-25       Impact factor: 49.962

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  25 in total

1.  Isolating live cells after high-throughput, long-term, time-lapse microscopy.

Authors:  Scott Luro; Laurent Potvin-Trottier; Burak Okumus; Johan Paulsson
Journal:  Nat Methods       Date:  2019-11-25       Impact factor: 28.547

2.  Quantitative analysis of the yeast pheromone pathway.

Authors:  James P Shellhammer; Amy E Pomeroy; Yang Li; Lorena Dujmusic; Timothy C Elston; Nan Hao; Henrik G Dohlman
Journal:  Yeast       Date:  2019-06-27       Impact factor: 3.239

3.  Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics.

Authors:  Meng Jin; Yang Li; Richard O'Laughlin; Philip Bittihn; Lorraine Pillus; Lev S Tsimring; Jeff Hasty; Nan Hao
Journal:  Cell Syst       Date:  2019-03-06       Impact factor: 10.304

Review 4.  Cell organelles and yeast longevity: an intertwined regulation.

Authors:  Riddhi Banerjee; Neha Joshi; Shirisha Nagotu
Journal:  Curr Genet       Date:  2019-09-18       Impact factor: 3.886

5.  Noncoding RNA-nucleated heterochromatin spreading is intrinsically labile and requires accessory elements for epigenetic stability.

Authors:  R A Greenstein; Stephen K Jones; Eric C Spivey; James R Rybarski; Ilya J Finkelstein; Bassem Al-Sady
Journal:  Elife       Date:  2018-07-18       Impact factor: 8.140

6.  A protein kinase A-regulated network encodes short- and long-lived cellular memories.

Authors:  Yanfei Jiang; Zohreh AkhavanAghdam; Yutian Li; Brian M Zid; Nan Hao
Journal:  Sci Signal       Date:  2020-05-19       Impact factor: 8.192

7.  The paths of mortality: how understanding the biology of aging can help explain systems behavior of single cells.

Authors:  Matthew M Crane; Matt Kaeberlein
Journal:  Curr Opin Syst Biol       Date:  2017-12-06

8.  A programmable fate decision landscape underlies single-cell aging in yeast.

Authors:  Yang Li; Yanfei Jiang; Julie Paxman; Richard O'Laughlin; Stephen Klepin; Yuelian Zhu; Lorraine Pillus; Lev S Tsimring; Jeff Hasty; Nan Hao
Journal:  Science       Date:  2020-07-17       Impact factor: 47.728

Review 9.  Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations.

Authors:  Mojca Mattiazzi Usaj; Clarence Hue Lok Yeung; Helena Friesen; Charles Boone; Brenda J Andrews
Journal:  Cell Syst       Date:  2021-06-16       Impact factor: 11.091

Review 10.  Trajectories of Aging: How Systems Biology in Yeast Can Illuminate Mechanisms of Personalized Aging.

Authors:  Matthew M Crane; Kenneth L Chen; Ben W Blue; Matt Kaeberlein
Journal:  Proteomics       Date:  2019-11-04       Impact factor: 3.984

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