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Cited by 177

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Experimental Models to Study Development and Function of the Human Immune System In Vivo

Legrand, Nicolas, Weijer, Kees, Spits, Hergen·2006·The Journal of Immunology

Abstract

The study of development and function of the immune system in vivo has made intensive use of animal models, but performing such work in humans is difficult for experimental, practical, and ethical reasons. Confronted with this scientific challenge, several pioneering groups have developed in the late 1980s mouse models of human immune system development. Although these experimental approaches were proven successful and useful, they were suffering from limitations due to xenograft transplantation barriers. By reviewing the characteristics of the successive models over the last 20 years, it becomes apparent that screening of potentially interesting mouse strains and usage of combinations of genetic deficiencies has led to major advances. This is particularly true for human T cell development in the murine thymus. This review will focus on these advances and the potential future improvements that remain to be accomplished.

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Crossref · 10.4049/jimmunol.176.4.2053

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Metadata

Authors
Legrand, N., Weijer, K., & Spits, H.
Venue
The Journal of Immunology
Published
2006-02
Volume
176
Issue
4
Pages
2053-2058
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W1536420296
Cited by
177
References
1
FWCI
5.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experimental Models to Study Development and Function of the Human Immune System In Vivo. https://app.cochat.ai/papers/10.4049/jimmunol.176.4.2053
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Legrand, N., Weijer, K., & Spits, H. (2006). Experimental Models to Study Development and Function of the Human Immune System In Vivo. The Journal of Immunology. https://doi.org/10.4049/jimmunol.176.4.2053

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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.