Literature DB >> 29552673

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

Matthew M Crane1, Matt Kaeberlein1.   

Abstract

Aging is a fundamental aspect of life, yet also one of the most confounding. In individual cells, aging results in a progressive decline which affects all organelles and reduces a cell's ability to maintain homeostasis. Because of the interconnected nature of cellular systems, the failure of even a single organelle can have cascading effects. We are just beginning to understand the dramatic physiological changes that occur during aging. Because most aging research has focused on population dynamics, or differences between wild-type and mutant populations, single-cell behavior has been largely overlooked. An open question is whether aging cells are defined by predictable sequences of physiological changes, or whether they proceed along divergent aging trajectories defined by whichever system begins to fail first. Can aging be best characterized by a cell-cycle like model with stereotyped states all cells progress through, or a Waddington landscape with divergent trajectories? Here we present work on understanding the changing physiological states of aging cells, why it will impact systems and synthetic biologists, and how the systems community can contribute significantly to the study of aging.

Entities:  

Year:  2017        PMID: 29552673      PMCID: PMC5851462          DOI: 10.1016/j.coisb.2017.11.010

Source DB:  PubMed          Journal:  Curr Opin Syst Biol        ISSN: 2452-3100


  70 in total

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Review 2.  Stems cells and the pathways to aging and cancer.

Authors:  Derrick J Rossi; Catriona H M Jamieson; Irving L Weissman
Journal:  Cell       Date:  2008-02-22       Impact factor: 41.582

3.  A mechanism for asymmetric segregation of age during yeast budding.

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4.  Quantifying cellular capacity identifies gene expression designs with reduced burden.

Authors:  Francesca Ceroni; Rhys Algar; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

5.  Lifespan Control by Redox-Dependent Recruitment of Chaperones to Misfolded Proteins.

Authors:  Sarah Hanzén; Katarina Vielfort; Junsheng Yang; Friederike Roger; Veronica Andersson; Sara Zamarbide-Forés; Rebecca Andersson; Lisa Malm; Gael Palais; Benoît Biteau; Beidong Liu; Michel B Toledano; Mikael Molin; Thomas Nyström
Journal:  Cell       Date:  2016-06-02       Impact factor: 41.582

6.  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

Review 7.  Cell-Size Control.

Authors:  Amanda A Amodeo; Jan M Skotheim
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-04-01       Impact factor: 10.005

8.  Identification of long-lived proteins retained in cells undergoing repeated asymmetric divisions.

Authors:  Nathaniel H Thayer; Christina K Leverich; Matthew P Fitzgibbon; Zara W Nelson; Kiersten A Henderson; Philip R Gafken; Jessica J Hsu; Daniel E Gottschling
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-16       Impact factor: 11.205

9.  A sphingolipid-dependent diffusion barrier confines ER stress to the yeast mother cell.

Authors:  Lori Clay; Fabrice Caudron; Annina Denoth-Lippuner; Barbara Boettcher; Stéphanie Buvelot Frei; Erik Lee Snapp; Yves Barral
Journal:  Elife       Date:  2014-05-06       Impact factor: 8.140

10.  Altering nuclear pore complex function impacts longevity and mitochondrial function in S. cerevisiae.

Authors:  Christopher L Lord; Benjamin L Timney; Michael P Rout; Susan R Wente
Journal:  J Cell Biol       Date:  2015-03-16       Impact factor: 10.539

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  10 in total

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2.  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

3.  Integrated OMICs unveil the bone-marrow microenvironment in human leukemia.

Authors:  Diana Passaro; Manuel Garcia-Albornoz; Giovanni Diana; Probir Chakravarty; Linda Ariza-McNaughton; Antoniana Batsivari; Clara Borràs-Eroles; Ander Abarrategi; Alexander Waclawiczek; Luigi Ombrato; Ilaria Malanchi; John Gribben; Dominique Bonnet
Journal:  Cell Rep       Date:  2021-05-11       Impact factor: 9.423

4.  Mechanisms through which lithocholic acid delays yeast chronological aging under caloric restriction conditions.

Authors:  Anthony Arlia-Ciommo; Anna Leonov; Karamat Mohammad; Adam Beach; Vincent R Richard; Simon D Bourque; Michelle T Burstein; Alexander A Goldberg; Pavlo Kyryakov; Alejandra Gomez-Perez; Olivia Koupaki; Vladimir I Titorenko
Journal:  Oncotarget       Date:  2018-10-09

5.  Mechanisms by which PE21, an extract from the white willow Salix alba, delays chronological aging in budding yeast.

Authors:  Younes Medkour; Karamat Mohammad; Anthony Arlia-Ciommo; Veronika Svistkova; Pamela Dakik; Darya Mitrofanova; Monica Enith Lozano Rodriguez; Jennifer Anne Baratang Junio; Tarek Taifour; Paola Escudero; Fani-Fay Goltsios; Sahar Soodbakhsh; Hana Maalaoui; Éric Simard; Vladimir I Titorenko
Journal:  Oncotarget       Date:  2019-10-08

Review 6.  Current Stage of Marine Ceramic Grafts for 3D Bone Tissue Regeneration.

Authors:  Patricia Diaz-Rodriguez; Miriam López-Álvarez; Julia Serra; Pío González; Mariana Landín
Journal:  Mar Drugs       Date:  2019-08-15       Impact factor: 5.118

7.  Age-dependent aggregation of ribosomal RNA-binding proteins links deterioration in chromatin stability with challenges to proteostasis.

Authors:  Julie Paxman; Zhen Zhou; Richard O'Laughlin; Yuting Liu; Yang Li; Wanying Tian; Hetian Su; Yanfei Jiang; Shayna E Holness; Elizabeth Stasiowski; Lev S Tsimring; Lorraine Pillus; Jeff Hasty; Nan Hao
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Review 8.  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

9.  Loss of vacuolar acidity results in iron-sulfur cluster defects and divergent homeostatic responses during aging in Saccharomyces cerevisiae.

Authors:  Kenneth L Chen; Toby N Ven; Matthew M Crane; Matthew L C Brunner; Adrian K Pun; Kathleen L Helget; Katherine Brower; Dexter E Chen; Ha Doan; Justin D Dillard-Telm; Ellen Huynh; Yen-Chi Feng; Zili Yan; Alexandra Golubeva; Roy A Hsu; Raheem Knight; Jessie Levin; Vesal Mobasher; Michael Muir; Victor Omokehinde; Corey Screws; Esin Tunali; Rachael K Tran; Luz Valdez; Edward Yang; Scott R Kennedy; Alan J Herr; Matt Kaeberlein; Brian M Wasko
Journal:  Geroscience       Date:  2020-01-23       Impact factor: 7.581

10.  DNA damage checkpoint activation impairs chromatin homeostasis and promotes mitotic catastrophe during aging.

Authors:  Matthew M Crane; Adam E Russell; Brent J Schafer; Ben W Blue; Riley Whalen; Jared Almazan; Mung Gi Hong; Bao Nguyen; Joslyn E Goings; Kenneth L Chen; Ryan Kelly; Matt Kaeberlein
Journal:  Elife       Date:  2019-11-12       Impact factor: 8.140

  10 in total

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