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Critical Reviews™ in Eukaryotic Gene Expression

Published 6 issues per year

ISSN Print: 1045-4403

ISSN Online: 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

Ligands and Regulatory Modes of Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) in Avians

Volume 25, Issue 4, 2015, pp. 287-292
DOI: 10.1615/CritRevEukaryotGeneExpr.2015015272
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ABSTRACT

Nutrient and gene interaction is an important aspect of poultry metabolism that determines performance capacity. New technological tools in biochemistry and biotechnology make it possible to explore the molecular base of phenotypic characteristics of poultry production. Fats act as energy deposits in the poultry body and are an essential constituent of animal cell membranes. From a functional standpoint, it has been suggested that ingested lipids change liver fatty acid synthesis and other lipogenic enzymes by regulating mRNA synthesis. Nuclear hormone receptors are ligand-activated transcription factors that control several genes involved in lipid metabolism. The peroxisome proliferator-activated receptors (PPARs) are members of the nuclear hormone receptor superfamily of transcription factors. Three separate PPAR genes have been identified; they are known as α, δ, and γ. The most important metabolic effect of PPARγ in chicken is its task in adipogenesis. Reviewing the ligands of chicken PPARγ gene can be useful to a better understanding of PPARγ regulatory functions.

CITED BY
  1. Kim Haein, Sedlacek P. D., Kim W. K., Lipid Formation and mRNA Expression of Key Adipogenic Genes in the Liver of Athens Canadian Random Breed and COBB Chicken Breeds During the Embryogenic Period, International Journal of Poultry Science, 16, 10, 2017. Crossref

  2. Corrales Patricia, Izquierdo-Lahuerta Adriana, Medina-Gómez Gema, Maintenance of Kidney Metabolic Homeostasis by PPAR Gamma, International Journal of Molecular Sciences, 19, 7, 2018. Crossref

  3. Hamilton Angelica, Ly Jennifer, Robinson Jasmine R., Corder Keely R., DeMoranville Kristen J., Schaeffer Paul J., Huss Janice M., Conserved transcriptional activity and ligand responsiveness of avian PPARs: Potential role in regulating lipid metabolism in mirgratory birds, General and Comparative Endocrinology, 268, 2018. Crossref

  4. Cheng Jia, Wang Ling, Wang Shanshan, Chen Rui, Zhang Tao, Ma Haidong, Lu Hongzhao, Yuan Guoqiang, Transcriptomic analysis of thigh muscle of Lueyang black-bone chicken in free-range and caged feeding, Animal Biotechnology, 2021. Crossref

  5. Chen Zhenzhen, Xing Ya, Fan Xue, Liu Tongjun, Zhao Minmeng, Liu Long, Hu Xuming, Cui Hengmi, Geng Tuoyu, Gong Daoqing, Fasting and Refeeding Affect the Goose Liver Transcriptome Mainly Through the PPAR Signaling Pathway, The Journal of Poultry Science, 58, 4, 2021. Crossref

  6. Larkina T. A., Krutikova A. A., Peglivanyan G. K., Dementiev N. V., Genetic variability of genetic chicken breeds estimated based on SNPS analysis in the PPARG gene, International bulletin of Veterinary Medicine, 4, 2021. Crossref

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