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Critical Reviews™ in Immunology

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ISSN Druckformat: 1040-8401

ISSN Online: 2162-6472

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00079 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.24 SJR: 0.429 SNIP: 0.287 CiteScore™:: 2.7 H-Index: 81

Indexed in

Genes Responsible for Quantitative Regulation of Antibody Production

Volumen 16, Ausgabe 3, 1996, pp. 223-250
DOI: 10.1615/CritRevImmunol.v16.i3.10
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ABSTRAKT

Evidence is first presented demonstrating that the individual capacity for antibody responsiveness has an inheritable component. The main evidence consists of spontaneous mutations causing either immunodeficiency or predisposition to autoimmunity in human and animals, and the involvement of some obvious candidate genes (in particular those belonging to the highly polymorphic histocompatibility and Igh loci), extensively analyzed in many mouse strain combinations. One finding constantly emerging from these studies is that single gene expression depends on environmental effects, lowering the genotype/phenotype correlation, but also on multigenic interactions appearing as background effects. The models available for the analysis of this multigenic regulation are discussed with special emphasis on the high and low antibody responder mice produced for this purpose by bidirectional selective breeding. The major advantage of this model is that the interline difference is huge and multispecifically expressed. The second part of the review presents the recent results on positional mapping of genes with immunomodulatory effects in this model and in one appropriate recombinant congenic strain series. This in vivo genetic dissection of antibody responsiveness discriminated the involvement of candidate genes and suggested that unsuspected genes might be identified by means of this wide open search.

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