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European Journal of Immunology
Article . 2010 . Peer-reviewed
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Characterization of immunoglobulin heavy chain knockout rats

Authors: Gregory J. Cost; Laurent Tesson; Ignacio Anegon; Séverine Remy; Roland Buelow; Michel J. Osborn; Marianne Brüggemann; +3 Authors

Characterization of immunoglobulin heavy chain knockout rats

Abstract

AbstractThe rat is a species frequently used in immunological studies but, until now, there were no models with introduced gene‐specific mutations. In a recent study, we described for the first time the generation of novel rat lines with targeted mutations using zinc‐finger nucleases. In this study, we compare immune development in two Ig heavy‐chain KO lines; one with truncated Cμ and a new line with removed JH segments. Rats homozygous for IgM mutation generate truncated Cμ mRNA with a de novo stop codon and no Cγ mRNA. JH‐deletion rats showed undetectable mRNA for all H‐chain transcripts. No serum IgM, IgG, IgA and IgE were detected in these rat lines. In both lines, lymphoid B‐cell numbers were reduced >95% versus WT animals. In rats homozygous for IgM mutation, no Ab‐mediated hyperacute allograft rejection was encountered. Similarities in B‐cell differentiation seen in Ig KO rats and ES cell‐derived Ig KO mice are discussed. These Ig and B‐cell‐deficient rats obtained using zinc‐finger nucleases‐technology should be useful as biomedical research models and a powerful platform for transgenic animals expressing a human Ab repertoire.

Keywords

B-Lymphocytes, Lymphoid Tissue, Reverse Transcriptase Polymerase Chain Reaction, Graft Survival, Molecular Sequence Data, Cell Differentiation, Rats, Mutant Strains, Rats, Animals, Genetically Modified, Immunoglobulin Isotypes, Rats, Sprague-Dawley, Rats, Inbred Lew, Animals, Heart Transplantation, Immunoglobulin Joining Region, RNA, Amino Acid Sequence, Immunoglobulin Constant Regions, Immunoglobulin Heavy Chains, Embryonic Stem Cells

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    57
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
57
Top 10%
Top 10%
Top 10%
bronze