Berkman, Paul and Liu, Guang Bin (2008) Bioinformatic analysis indicates a relationship between CpG islands & nuclear protein function, as well as a Stop Codon Usage Bias. In: Bioinformatics Australia Conference, 1-3 Dec, 2008, Gold Coast, Queensland.
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Abstract
CpG islands (CGI) are associated with gene regulation with unknown mechanism of expression, though it has been over 20 years since their initial identification. This study was conducted to grasp the importance of CGIs and their distribution in human chromosome 1, and from this to further characterise how they relate to gene expression in the human genome. Analysing the distribution of CGIs and core promoter regulatory elements in promoter region of the genes on human chromosome 1 contributes a greater understanding of the types of genes with which CGIs are associated. The trends in protein localisation and function with the variation of CpG island density in the genes on human chromosome 1 suggest that genes with a CpG island in the promoter region significantly more frequently produce proteins that are located in the cytoplasm, nucleus, and nucleolus, and less frequently in the plasma membrane. As well as this, it is indicated high density CpG islands are more frequently related to genes with protein products localised significantly more in the nucleus and with likely DNA binding function. The relationship between CpG islands and core promoter elements in human chromosome 1 support a relationship between CpG islands and the GC box that may have transcriptional significance for the function of CpG islands.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Poster) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty / Department / School: | Historic - Faculty of Sciences - Department of Biological and Physical Sciences |
| Date Deposited: | 30 Sep 2014 08:14 |
| Last Modified: | 30 Sep 2014 08:14 |
| Fields of Research : | 06 Biological Sciences > 0604 Genetics > 060407 Genome Structure and Regulation 06 Biological Sciences > 0601 Biochemistry and Cell Biology > 060102 Bioinformatics |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970106 Expanding Knowledge in the Biological Sciences |
| URI: | http://eprints.usq.edu.au/id/eprint/7617 |
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