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Three clonal types of keratinocyte with different capacities for multiplication.

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Barrandon, Y, Green, H·1987·Proceedings of the National Academy of Sciences

Abstract

Colony-forming human epidermal cells are heterogeneous in their capacity for sustained growth. Once a clone has been derived from a single cell, its growth potential can be estimated from the colony types resulting from a single plating, and the clone can be assigned to one of three classes. The holoclone has the greatest reproductive capacity: under standard conditions, fewer than 5% of the colonies formed by the cells of a holoclone abort and terminally differentiate. The paraclone contains exclusively cells with a short replicative lifespan (not more than 15 cell generations), after which they uniformly abort and terminally differentiate. The third type of clone, the meroclone, contains a mixture of cells of different growth potential and is a transitional stage between the holoclone and the paraclone. The incidence of the different clonal types is affected by aging, since cells originating from the epidermis of older donors give rise to a lower proportion of holoclones and a higher proportion of paraclones.

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Metadata

Authors
Barrandon, Y., & Green, H.
Venue
Proceedings of the National Academy of Sciences
Published
1987-04
Volume
84
Issue
8
Pages
2302-2306
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2005356516
Cited by
1,294
References
0
FWCI
16.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Three clonal types of keratinocyte with different capacities for multiplication. https://app.cochat.ai/papers/10.1073/pnas.84.8.2302
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Barrandon, Y., & Green, H. (1987). Three clonal types of keratinocyte with different capacities for multiplication. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.84.8.2302

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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.