Analyzing Gene Relationships for Down Syndrome with Labeled Transition Graphs | IEEE Conference Publication | IEEE Xplore

Analyzing Gene Relationships for Down Syndrome with Labeled Transition Graphs


Abstract:

The relationship between changes in gene expression and physical characteristics associated with Down syndrome is not well understood. Chromosome 21 genes interact with n...Show More

Abstract:

The relationship between changes in gene expression and physical characteristics associated with Down syndrome is not well understood. Chromosome 21 genes interact with nonchromosome 21 genes to produce Down syndrome characteristics. This indirect influence, however, is difficult to empirically define due to the number, size, and complexity of the involved gene regulatory networks. This work links chromosome 21 genes to non-chromosome 21 genes known to interact in a Down syndrome phenotype through a reachability analysis of labeled transition graphs extracted from published gene regulatory network databases. The analysis provides new relations in a recently discovered link between a specific gene and Down syndrome phenotype. This type of formal analysis helps scientists direct empirical studies to unravel chromosome 21 gene interactions with the hope for therapeutic intervention.
Date of Conference: 11-14 November 2007
Date Added to IEEE Xplore: 12 December 2007
ISBN Information:
Conference Location: Austin, TX, USA
Citations are not available for this document.

I. Introduction

Researchers currently hypothesize that cancers and other physical ailments are caused by duplication of genes on chromosomes [1]. Chromosomes are made up of genes that encode information about physical characteristics or phenotypes. Through empirical analysis, systems biologists determine how genes are linked to certain phenotypes. Knowing how genes interact to express specific phenotypes is a critical step for therapeutic intervention in many diseases. The large number of genes found in an individual and the possible gene interactions make it difficult to manually discern how gene regulatory networks influence phenotypic characteristics.

Cites in Papers - |

Cites in Papers - IEEE (1)

Select All
1.
N. Tuğbagül Altan Akin, Mehmet Göktürk, "Order interface model for individuals with Down sydrome and emotion analysis", 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.001122-001127, 2016.
Contact IEEE to Subscribe

References

References is not available for this document.