Browse > Article
http://dx.doi.org/10.5808/GI.2016.14.4.234

Tissue Specific Expression Levels of Apoptosis Involved Genes Have Correlations with Codon and Amino Acid Usage  

Hajjari, Mohammadreza (Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz)
Sadeghi, Iman (Department of Molecular Genetics, Faculty of Biosciences, Tarbiat Modares University of Tehran)
Salavaty, Abbas (Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz)
Nasiri, Habib (Department of Medical Genetics, Nika Center of Preventive Medicine and Health Promotion)
Birgani, Maryam Tahmasebi (Department of Medical Genetics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences)
Abstract
Different mechanisms, including transcriptional and post transcriptional processes, regulate tissue specific expression of genes. In this study, we report differences in gene/protein compositional features between apoptosis involved genes selectively expressed in human tissues. We found some correlations between codon/amino acid usage and tissue specific expression level of genes. The findings can be significant for understanding the translational selection on these features. The selection may play an important role in the differentiation of human tissues and can be considered for future studies in diagnosis of some diseases such as cancer.
Keywords
apoptosis; codon; gene expression regulation; translation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Angov E. Codon usage: nature's roadmap to expression and folding of proteins. Biotechnol J 2011;6:650-659.   DOI
2 Welch M, Govindarajan S, Ness JE, Villalobos A, Gurney A, Minshull J, et al. Design parameters to control synthetic gene expression in Escherichia coli. PLoS One 2009;4:e7002.   DOI
3 Plotkin JB, Robins H, Levine AJ. Tissue-specific codon usage and the expression of human genes. Proc Natl Acad Sci U S A 2004;101:12588-12591.   DOI
4 Mazumder TH, Chakraborty S, Paul P. A cross talk between codon usage bias in human oncogenes. Bioinformation 2014;10: 256-262.   DOI
5 Novoa EM, Ribas de Pouplana L. Speeding with control: codon usage, tRNAs, and ribosomes. Trends Genet 2012;28:574-581.   DOI
6 Qian W, Yang JR, Pearson NM, Maclean C, Zhang J. Balanced codon usage optimizes eukaryotic translational efficiency. PLoS Genet 2012;8:e1002603.   DOI
7 Dimitrieva S, Anisimova M. Unraveling patterns of site-tosite synonymous rates variation and associated gene properties of protein domains and families. PLoS One 2014;9:e95034.   DOI
8 Zhou Y, Ma BG, Zhang HY. Human oncogene tissue-specific expression level significantly correlates with sequence compositional features. FEBS Lett 2007;581:4361-4365.   DOI
9 Hajjari M, Khoshnevisan A, Behmanesh M. Compositional features are potentially involved in the regulation of gene expression of tumor suppressor genes in human tissues. Gene 2014;553:126-129.   DOI
10 Semon M, Lobry JR, Duret L. No evidence for tissue-specific adaptation of synonymous codon usage in humans. Mol Biol Evol 2006;23:523-529.   DOI
11 Ma L, Cui P, Zhu J, Zhang Z, Zhang Z. Translational selection in human: more pronounced in housekeeping genes. Biol Direct 2014;9:17.   DOI
12 Portt L, Norman G, Clapp C, Greenwood M, Greenwood MT. Anti-apoptosis and cell survival: a review. Biochim Biophys Acta 2011;1813:238-259.   DOI
13 Levy JP, Muldoon RR, Zolotukhin S, Link CJ Jr. Retroviral transfer and expression of a humanized, red-shifted green fluorescent protein gene into human tumor cells. Nat Biotechnol 1996;14:610-614.   DOI
14 Calkhoven CF, Muller C, Leutz A. Translational control of gene expression and disease. Trends Mol Med 2002;8:577-583.   DOI
15 Dittmar KA, Goodenbour JM, Pan T. Tissue-specific differences in human transfer RNA expression. PLoS Genet 2006; 2:e221.   DOI
16 Comeron JM. Selective and mutational patterns associated with gene expression in humans: influences on synonymous composition and intron presence. Genetics 2004;167:1293-1304.   DOI
17 Lavner Y, Kotlar D. Codon bias as a factor in regulating expression via translation rate in the human genome. Gene 2005;345:127-138.   DOI
18 Heizer EM Jr, Raiford DW, Raymer ML, Doom TE, Miller RV, Krane DE. Amino acid cost and codon-usage biases in 6 prokaryotic genomes: a whole-genome analysis. Mol Biol Evol 2006;23:1670-1680.   DOI
19 Williford A, Demuth JP. Gene expression levels are correlated with synonymous codon usage, amino acid composition, and gene architecture in the red flour beetle, Tribolium castaneum. Mol Biol Evol 2012;29:3755-3766.   DOI
20 Duret L. tRNA gene number and codon usage in the C. elegans genome are co-adapted for optimal translation of highly expressed genes. Trends Genet 2000;16:287-289.   DOI
21 Raiford DW, Heizer EM Jr, Miller RV, Akashi H, Raymer ML, Krane DE. Do amino acid biosynthetic costs constrain protein evolution in Saccharomyces cerevisiae? J Mol Evol 2008;67:621-630.   DOI
22 Akashi H. Translational selection and yeast proteome evolution. Genetics 2003;164:1291-1303.
23 Akashi H, Gojobori T. Metabolic efficiency and amino acid composition in the proteomes of Escherichia coli and Bacillus subtilis. Proc Natl Acad Sci U S A 2002;99:3695-3700.   DOI
24 Zhang FX, Rubin R, Rooney TA. N-Methyl-D-aspartate inhibits apoptosis through activation of phosphatidylinositol 3-kinase in cerebellar granule neurons: a role for insulin receptor substrate-1 in the neurotrophic action of n-methyl-D-aspartate and its inhibition by ethanol. J Biol Chem 1998;273:26596-26602.   DOI
25 Verzola D, Fama A, Villaggio B, Di Rocco M, Simonato A, D'Amato E, et al. Lysine triggers apoptosis through a NADPH oxidase-dependent mechanism in human renal tubular cells. J Inherit Metab Dis 2012;35:1011-1019.   DOI