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Cited by 1,067

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CD14+ blood monocytes can differentiate into functionally mature CD83+ dendritic cells.

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Zhou, L J, Tedder, T F·1996·Proceedings of the National Academy of Sciences

Abstract

Dendritic cells are potent antigen-presenting cells that initiate primary immune responses. Although dendritic cells derive from bone marrow stem cells, the intermediate stages in their development remain unknown. In this study, plastic-adherent blood monocytes (CD14+, CD1a-) cultured for 7 days with granulocyte-monocyte colony-stimulating factor, interleukin 4, and tumor necrosis factor alpha were shown to differentiate into CD1a+ CD83+ dendritic cells. These cells displayed all phenotypic and morphologic characteristics of mature dendritic cells and were the most potent stimulatory cells in allogeneic mixed leukocyte reactions. The identification of specific culture conditions that generate large numbers of dendritic cells from purified monocytes uncovers an important step in dendritic cell maturation that will allow the further characterization of their role in autoimmune diseases, graft rejection, and human immunodeficiency virus infection.

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Metadata

Authors
Zhou, L. J., & Tedder, T. F.
Venue
Proceedings of the National Academy of Sciences
Published
1996-03-19
Volume
93
Issue
6
Pages
2588-2592
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2028092080
Cited by
1,067
References
0
FWCI
21.49
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: CD14+ blood monocytes can differentiate into functionally mature CD83+ dendritic cells. https://app.cochat.ai/papers/10.1073/pnas.93.6.2588
The paper
Zhou, L. J., & Tedder, T. F. (1996). CD14+ blood monocytes can differentiate into functionally mature CD83+ dendritic cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.93.6.2588

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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.