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Critical Reviews™ in Eukaryotic Gene Expression

Publication de 6  numéros par an

ISSN Imprimer: 1045-4403

ISSN En ligne: 2162-6502

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: 1.6 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: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 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: 0.00058 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: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

An Integrated Biological Approach to Nuclear Receptor Signaling in Physiological Control and Disease

Volume 16, Numéro 1, 2006, pp. 1-22
DOI: 10.1615/CritRevEukarGeneExpr.v16.i1.10
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RÉSUMÉ

The nuclear receptors (NRs)—vitamin D receptor (VDR); peroxisome proliferator-activated receptor (PPAR) α, δ, γ; and pregnane X receptor (PXR)—act as sensors for various molecules encountered by the body on a daily basis. The effects of these ligands can be understood by the fact that numerous genes involved in the cellular processes, such as general homeostasis, growth, and defense against microbes, are under the control of these five NRs. The target gene and protein expression patterns of VDR, PPARs, and PXR; the resulting changes in metabolite levels; and their physiological consequences create a network that can be monitored by high-throughput methods and analyzed by multimodal approaches, such as systems biology. We suggest that the fine regulation of this NR network is specific to each human individual and depends, in part, on the constellation of regulatory small nucleotide polymorphisms (SNPs) in his or her genome. When regulatory SNPs affect NRs response elements, lifetime exposure to food components will have different accumulative consequences on the expression of the respective NR target genes. These differences will influence the individual's susceptibility to aging-related diseases, such as type 2 diabetes, atherosclerosis, cancer, and osteoporosis. Furthermore, it is anticipated that systems biology methods will also help to identify the most critical genes, proteins, or metabolites in the NR network that will serve as biomarkers for the early detection of these diseases.

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