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Cited by 174

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Colony size distributions as a measure of in vivo and in vitro aging.

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Smith, J R, Pereira-Smith, O M, Schneider, E L·1978·Proceedings of the National Academy of Sciences

Abstract

Individual human diploid cells plated at low cell density and incubated for 2 weeks develop into colonies ranging in size from one cell to several thousand cells. The resultant colony size distribution is an accurate indicator of the number of subsequent in vitro population doublings that can be attained by the parent culture. This relationship holds for both human fetal lung and adult skin fibroblast cultures. In addition, the colony size distributions obtained from fetal, young adult, and old adult human cell cultures at the same low level of in vitro passage are indicative of the in vivo age of the level of in vitro passage are indicative of the in vivo age of the cell culture donor. Cell cultures of fetal origin give rise to the highest percentage of colonies with significant proliferative abilities, whereas cultures from old adults give rise to the lowest percentage of large colonies. Therefore, colony size distributions appear to be good indicators of both in vitro and in vivo human cellular aging.

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Metadata

Authors
Smith, J. R., Pereira-Smith, O. M., & Schneider, E. L.
Venue
Proceedings of the National Academy of Sciences
Published
1978-03
Volume
75
Issue
3
Pages
1353-1356
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2104109753
Cited by
174
References
0
FWCI
13.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Colony size distributions as a measure of in vivo and in vitro aging. https://app.cochat.ai/papers/10.1073/pnas.75.3.1353
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Smith, J. R., Pereira-Smith, O. M., & Schneider, E. L. (1978). Colony size distributions as a measure of in vivo and in vitro aging. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.75.3.1353

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.