Literature DB >> 29186697

A High-Throughput Screen for Yeast Replicative Lifespan Identifies Lifespan-Extending Compounds.

Ethan A Sarnoski1, Ping Liu1, Murat Acar2.   

Abstract

Progress in aging research is constrained by the time requirement of measuring lifespans. Even the most rapid model for eukaryotic aging, the replicative lifespan of Saccharomyces cerevisiae, is technically limited to only several lifespan measurements each day. Here we report a 384-well plate-based technique to measure replicative lifespan, termed High-Life. Using the High-Life technique, a single researcher can compare lifespan for more than 1,000 conditions per day. We validated the technique with long-lived mutant strains and the lifespan-extending compound ibuprofen. We also applied this technique to screen a small compound library for lifespan extension. Two hits, terreic acid and mycophenolic acid, were validated on our single-cell replicator device and found to extend mean replicative lifespan by 15% and 20%, respectively. Together, we report a technique for high-throughput lifespan measurement, and we identify two lifespan-extending compounds. Our technique could be used to efficiently drive early-stage discovery of pro-longevity therapeutics.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Saccharomyces cerevisiae; aging; compound delivery; high-throughput; replicative lifespan

Mesh:

Substances:

Year:  2017        PMID: 29186697      PMCID: PMC5728442          DOI: 10.1016/j.celrep.2017.11.002

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  23 in total

1.  Lifespan extension in Caenorhabditis elegans by complete removal of food.

Authors:  Tammi L Kaeberlein; Erica D Smith; Mitsuhiro Tsuchiya; K Linnea Welton; James H Thomas; Stanley Fields; Brian K Kennedy; Matt Kaeberlein
Journal:  Aging Cell       Date:  2006-11-01       Impact factor: 9.304

2.  Rapamycin, but not resveratrol or simvastatin, extends life span of genetically heterogeneous mice.

Authors:  Richard A Miller; David E Harrison; C M Astle; Joseph A Baur; Angela Rodriguez Boyd; Rafael de Cabo; Elizabeth Fernandez; Kevin Flurkey; Martin A Javors; James F Nelson; Carlos J Orihuela; Scott Pletcher; Zelton Dave Sharp; David Sinclair; Joseph W Starnes; J Erby Wilkinson; Nancy L Nadon; Randy Strong
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-10-25       Impact factor: 6.053

3.  Some aspects of cell division in saccharomyces cerevisiae.

Authors:  A A BARTON
Journal:  J Gen Microbiol       Date:  1950-01

4.  Aging in the nematode Caenorhabditis elegans: major biological and environmental factors influencing life span.

Authors:  M R Klass
Journal:  Mech Ageing Dev       Date:  1977 Nov-Dec       Impact factor: 5.432

5.  Flow cytometry and cell sorting for yeast viability assessment and cell selection.

Authors:  D Deere; J Shen; G Vesey; P Bell; P Bissinger; D Veal
Journal:  Yeast       Date:  1998-01-30       Impact factor: 3.239

6.  High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method.

Authors:  R Daniel Gietz; Robert H Schiestl
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

7.  The mother enrichment program: a genetic system for facile replicative life span analysis in Saccharomyces cerevisiae.

Authors:  Derek L Lindstrom; Daniel E Gottschling
Journal:  Genetics       Date:  2009-08-03       Impact factor: 4.562

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.  A high-throughput screen for chemicals that increase the lifespan of Caenorhabditis elegans.

Authors:  Michael Petrascheck; Xiaolan Ye; Linda B Buck
Journal:  Ann N Y Acad Sci       Date:  2009-07       Impact factor: 5.691

10.  Yeast Replicator: A High-Throughput Multiplexed Microfluidics Platform for Automated Measurements of Single-Cell Aging.

Authors:  Ping Liu; Thomas Z Young; Murat Acar
Journal:  Cell Rep       Date:  2015-10-09       Impact factor: 9.423

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  9 in total

1.  Characterization of the impact of GMP/GDP synthesis inhibition on replicative lifespan extension in yeast.

Authors:  Ping Liu; Ethan A Sarnoski; Tolga T Olmez; Thomas Z Young; Murat Acar
Journal:  Curr Genet       Date:  2020-03-30       Impact factor: 3.886

2.  A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels.

Authors:  Guste Urbonaite; Jimmy Tsz Hang Lee; Ping Liu; Guillermo E Parada; Martin Hemberg; Murat Acar
Journal:  Commun Biol       Date:  2021-06-30

Review 3.  The Systems Biology of Single-Cell Aging.

Authors:  Ruijie Song; Ethan A Sarnoski; Murat Acar
Journal:  iScience       Date:  2018-09-03

Review 4.  Roles of Telomere Biology in Cell Senescence, Replicative and Chronological Ageing.

Authors:  Jun Liu; Lihui Wang; Zhiguo Wang; Jun-Ping Liu
Journal:  Cells       Date:  2019-01-15       Impact factor: 6.600

Review 5.  Replicative Aging in Pathogenic Fungi.

Authors:  Somanon Bhattacharya; Tejas Bouklas; Bettina C Fries
Journal:  J Fungi (Basel)       Date:  2020-12-25

6.  Inactivating histone deacetylase HDA promotes longevity by mobilizing trehalose metabolism.

Authors:  Ruofan Yu; Xiaohua Cao; Luyang Sun; Jun-Yi Zhu; Brian M Wasko; Wei Liu; Emeline Crutcher; Haiying Liu; Myeong Chan Jo; Lidong Qin; Matt Kaeberlein; Zhe Han; Weiwei Dang
Journal:  Nat Commun       Date:  2021-03-31       Impact factor: 14.919

7.  Identifying longevity associated genes by integrating gene expression and curated annotations.

Authors:  F William Townes; Kareem Carr; Jeffrey W Miller
Journal:  PLoS Comput Biol       Date:  2020-11-30       Impact factor: 4.475

8.  Single-Cell Time-Lapse Observation Reveals Cell Shrinkage upon Cell Death in Batch Culture of Saccharomyces cerevisiae.

Authors:  Setsu Kato; Kenta Suzuki; Taiki Kenjo; Junya Kato; Yoshiteru Aoi; Yutaka Nakashimada
Journal:  mBio       Date:  2021-12-21       Impact factor: 7.867

9.  Age-dependent decline in stress response capacity revealed by proteins dynamics analysis.

Authors:  Kaiyue Chen; Wenting Shen; Zhiwen Zhang; Fangzheng Xiong; Qi Ouyang; Chunxiong Luo
Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

  9 in total

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