Demographic approaches to the study of aging on cell cultures
Abstract
Aging organisms die out in accordance with the «Gompertz law», i.e. the probability of their death increases with age. Survival curve construction is the main tool for gerontologists to study aging and test anti-aging drugs. The analysis of survival curves includes obtaining some indices characterizing aging of the population, for example, average and maximum life span, mortality rate, and aging rate. Testing of geroprotectors can be correctly performed only by obtaining such curves. The dying out of stationary cell populations - bacteria, yeast, and mammalian cell cultures -also occurs in accordance with the Gompertz equation. In this regard, it is reasonable to use the construction of survival curves and their analysis to study the «aging» of non-subcultured cell cultures and testing of anti-aging drugs on them. We used this approach in our own experiments, due to which we were able to detect the positive anti-aging effect of the Quinton Marine Plasma on stationary phase aging culture of Chinese hamster cells.
About the Authors
A. N. Khokhlov
Lomonosov Moscow State University
Russian Federation
Russian Federation
Evolutionary Cytogerontology Sector, School of Biology.
Leninskiye gory 1—12, Moscow, 119234
G. V. Morgunova
Lomonosov Moscow State University
Russian Federation
Russian Federation
Evolutionary Cytogerontology Sector, School of Biology.
Leninskiye gory 1—12, Moscow, 119234
A. A. Klebanov
Lomonosov Moscow State University
Russian Federation
Russian Federation
Evolutionary Cytogerontology Sector, School of Biology.
Leninskiye gory 1—12, Moscow, 119234
References
1. Jones O.R., Scheuerlein A., Salguero-Gymes R., Camarda C.G., Schaible R., Casper B.B., Dahlgren J.P., Ehrlen J, Garcia M.B., Menges E.S., Quintana-Ascencio P.F., Caswell H, Baudisch A., Vaupel J.W. Diversity of ageing across the tree of life // Nature. 2014. Vol. 505. N 7482. P. 169-173.
2. Comfort A. Ageing: The biology of senescence. London: Routledge & Kegan Paul, 1964. 365 pp.
3. Дубина Т.Л., Разумович А.Н. Введение в экспериментальную геронтологию. Минск: Наука и техника, 1975. 168 с.
4. Holliday R. Aging: The paradox of life. Why we age. Dordrecht: Springer, 2007. 134 pp.
5. Khokhlov A.N. Does aging need its own program, or is the program of development quite sufficient for it? Stationary cell cultures as a tool to search for anti-aging factors // Curr. Aging Sci. 2013. Vol. 6. N 1. P. 14-20.
6. Martinez D.E., Bridge D. Hydra, the everlasting embryo, confronts aging // Int. J. Dev. Biol. 2012. Vol. 56. N 6-8. P. 479-487.
7. Shuryak I., Sun Y., Balajee A.S. Advantages of binomial likelihood maximization for analyzing and modeling cell survival curves // Radiat. Res. 2016. Vol. 185. N 3. P. 246-256.
8. Kehwar T.S., Chopra K.L., Rai D.V. A unified dose response relationship to predict high dose fractionation response in the lung cancer stereotactic body radiation therapy // J. Med. Phys. 2017. Vol. 42. N 4. P. 222-233.
9. Herskind C, Liu Q, Liu X., Zhang Y., Ma L, Angelie E, Ma H.H., Liu J., Giordano F.A., Wenz F, Veldwijk M.R. A hypothesis of radioresistance and cell-survival curve shape based on cell-cycle progression and damage tolerance // Radiat. Prot. Dosimetry. 2018. Vol. 183. N 1-2. P. 107-110.
10. Fabrizio P, Longo V.D. The chronological life span of Saccharomyces cerevisiae // Aging Cell. 2003. Vol. 2. N 2. P. 73-81.
11. Kawaiek A., van der Klei I.J. At neutral pH the chronological lifespan of Hansenula polymorpha increases upon enhancing the carbon source concentrations // Microb. Cell. 2014. Vol. 1. N 6. P. 189-202.
12. Li X., Snyder M.P. Yeast longevity promoted by reversing aging-associated decline in heavy isotope content // NPJ Aging Mech. Dis. 2016. Vol. 2: 16004.
13. Belak Z.R., Harkness T., Eskiw C.H. A rapid, high-throughput method for determining chronological lifespan in budding yeast // J. Biol. Methods. 2018. Vol. 5. N 4: e106.
14. Yang Y., Santos A.L., Xu L., Lotton C., Taddei F., Lindner A.B. Temporal scaling of aging as an adaptive strategy of Escherichia coli // Sci. Adv. 2019. Vol. 5. N 5: eaaw2069.
15. Khokhlov A.N., Klebanov A.A., Karmushakov A.F., Shilovsky G.A., Nasonov M.M., Morgunova G.V. Testing of geroprotectors in experiments on cell cultures: choosing the correct model system // Moscow Univ. Biol. Sci. Bull. 2014. Vol. 69. N 1. P. 10-14.
16. Khokhlov A.N. Cell kinetic approaches to the search for anti-aging drugs: Thirty years after // Moscow Univ. Biol. Sci. Bull. 2018. Vol. 73. N 4. P. 185-190.
17. Khokhlov A.N., Morgunova G.V., Ryndina T.S., Coll F. Pilot study of a potential geroprotector, «Quinton Marine Plasma,» in experiments on cultured cells // Moscow Univ. Biol. Sci. Bull. 2015. Vol. 70. N 1. P. 7-11.
18. Morgunova G.V., Klebanov A.A. Impairment of the viability of transformed Chinese hamster cells in a nonsubcultured culture under the influence of exogenous oxidized guanoside is manifested only in the stationary phase of growth // Moscow Univ. Biol. Sci. Bull. 2018. Vol. 73. N 3. P. 124-129.
19. Morgunova G.V., KarmushakovA.F., Klebanov A.A., Khokhlov A.N. Studies into the effect of «mild» uncoupling with 2,4-dinitrophenol on the growth of Chinese hamster cell culture and its subsequent dying out in the stationary phase // Moscow Univ. Biol. Sci. Bull. 2019. Vol. 74. N 3. P. 163-169.
20. Khokhlov A.N., Klebanov A.A., Morgunova G.V. On choosing control objects in experimental gerontological research // Moscow Univ. Biol. Sci. Bull. 2018. Vol. 73. N 2. P. 59-62.
21. Fabrizio P, Longo V.D. Chronological aging-induced apoptosis in yeast // Biochim. Biophys. Acta Mol. Cell Res. 2008. Vol. 1783. N 7. P. 1280-1285.
22. Khokhlov A.N. Which aging in yeast is «true»? // Moscow Univ. Biol. Sci. Bull. 2016. Vol. 71. N 1. P. 11-13.
23. Burtner C.R., Murakami C.J., Kennedy B.K., Kaeberlein M. A molecular mechanism of chronological aging in yeast // Cell Cycle. 2009. Vol. 8. N 8. P. 1256-1270.
24. Morgunova G.V., Klebanov A.A., Marotta F, Khokhlov A.N. Culture medium pH and stationary phase/chronological aging of different cells // Moscow Univ. Biol. Sci. Bull. 2017. Vol. 72. N 2. P. 47-51.
Review
For citations:
Khokhlov A.N., Morgunova G.V., Klebanov A.A. Demographic approaches to the study of aging on cell cultures. Vestnik Moskovskogo universiteta. Seriya 16. Biologiya. 2019;74(4):328–333. (In Russ.)
Views:
279
Email this article 