Tissue-specific expression of hormonal carcinogenesis target genes in rats treated with polycyclic aromatic hydrocarbons

2011 ◽  
Vol 5 (3) ◽  
pp. 226-230
Author(s):  
M. D. Chanyshev ◽  
V. O. Pustylnyak ◽  
L. F. Gulyaeva
2012 ◽  
Vol 58 (3) ◽  
pp. 310-317
Author(s):  
M.D. Chanyshev ◽  
V.O. Pustylnyak ◽  
L.F. Gulyaeva

We have investigated the effect of polycyclic aromatic hydrocarbons (PAHs) on estrogen- metabolizing genes CYP1A1, CYP1B1, CYP19 and ERα and cyclin D1 genes, which control of cell division in estrogen-depended tissues. Treatment of rats with benzo(a)pyren (BP) or 3-methylcholantrene (MC) significantly up-regulated CYP1A1, CYP1B1 gene expression in liver, uterus and ovary, whereas alfa-naphthoflavone (α-NF) did not have any effect. The high level of aromatase gene (CYP19) expression was detected in ovary only. Treatment of rats with BP or MC significantly down-regulated expression of this gene (15- and 5,5-fold, respectively), whereas α-NF did not have any effect. BP produced an increase in ERα and cyclin D1 gene expression in rat liver. This effect was not seen with MC and α-NF. ERα and cyclin D1 mRNA levels were unchanged in uterus of rats after PAHs treatment. On the other hand, BP treatment caused an increase of the ERα and cyclin D1 mRNA levels (3,5- and 2,5-fold, respectively) in ovary, whereas MC and α-NF did not have any effects. Thus, our results give evidence for tissue-specific effects of PAHs on expression of genes, which participate in hormonal carcinogenesis. Moreover, the fact that BP and MC treatment affects the expression of estrogen-metabolizing genes and genes, which control of cell division, supports the view that PAHs may be one of the causes of endocrine disorder and consequent hormonal carcinogenesis.


2015 ◽  
Vol 96 (8) ◽  
pp. 2889-2895 ◽  
Author(s):  
Thaiane G Gaique ◽  
Bruna P Lopes ◽  
Luana L Souza ◽  
Gabriela S M Paula ◽  
Carmen C Pazos-Moura ◽  
...  

2012 ◽  
Vol 24 (10) ◽  
pp. 4163-4172 ◽  
Author(s):  
Sara Simonini ◽  
Irma Roig-Villanova ◽  
Veronica Gregis ◽  
Bilitis Colombo ◽  
Lucia Colombo ◽  
...  

2019 ◽  
Author(s):  
Tianlei Xu ◽  
Peng Jin ◽  
Zhaohui S Qin

Abstract Motivation Annotating a given genomic locus or a set of genomic loci is an important yet challenging task. This is especially true for the non-coding part of the genome which is enormous yet poorly understood. Since gene set enrichment analyses have demonstrated to be effective approach to annotate a set of genes, the same idea can be extended to explore the enrichment of functional elements or features in a set of genomic intervals to reveal potential functional connections. Results In this study, we describe a novel computational strategy named loci2path that takes advantage of the newly emerged, genome-wide and tissue-specific expression quantitative trait loci (eQTL) information to help annotate a set of genomic intervals in terms of transcription regulation. By checking the presence or the absence of millions of eQTLs in a set of input genomic intervals, combined with grouping eQTLs by the pathways or gene sets that their target genes belong to, loci2path build a bridge connecting genomic intervals to functional pathways and pre-defined biological-meaningful gene sets, revealing potential for regulatory connection. Our method enjoys two key advantages over existing methods: first, we no longer rely on proximity to link a locus to a gene which has shown to be unreliable; second, eQTL allows us to provide the regulatory annotation under the context of specific tissue types. To demonstrate its utilities, we apply loci2path on sets of genomic intervals harboring disease-associated variants as query. Using 1 702 612 eQTLs discovered by the Genotype-Tissue Expression (GTEx) project across 44 tissues and 6320 pathways or gene sets cataloged in MSigDB as annotation resource, our method successfully identifies highly relevant biological pathways and revealed disease mechanisms for psoriasis and other immune-related diseases. Tissue specificity analysis of associated eQTLs provide additional evidence of the distinct roles of different tissues played in the disease mechanisms. Availability and implementation loci2path is published as an open source Bioconductor package, and it is available at http://bioconductor.org/packages/release/bioc/html/loci2path.html. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.


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