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Volume 12 Journal of Molecular and Genetic Medicine
ISSN: 1747-0862
May 21-23, 2018 Barcelona, Spain
&
Integrative Biology
6th International Conference on
Genomics and Molecular Biology
10th International Conference on
Genomics 2018 and Integrative Biology 2018
May 21-23, 2018
JOINT EVENT
Identification of overlooked genes inDEGanalysis by integratingmetabolic network topology analysis
Emine Ravza Öztürk and Alper Yılmaz
Yıldız Technical University, Turkey
Most of the gene expression studies reveal differentially expressed genes (DEG) followed with gene set enrichment analysis
(GSEA). Although this approach is practical for reducing the number of targets to engage, it is very much prone to
overlook important targets. This is because the enrichment analysis ignores the metabolic pathway topology. A single gene
in DEG list that is involved in very crucial reaction will not be identified as “enriched” if there are more than few genes are
found in same pathway with this candidate gene. Thus, metabolic network topology should be strongly integrated with DEG
analysis to uncover genes from a given DEG list which affect critical points in metabolic network. In our study, we parsed and
merged available pathway and reaction data to construct whole human metabolic network. Then, by graph theory algorithms,
identified critical nodes in whole network, perturbation of which would impact the whole network. To pinpoint overlooked
targets in already published or calculated DEG lists, we gathered available DEG lists and expression data and mapped resulting
DEG to metabolic network. Our approach could recover previously undetected important genes. As a result, the veil called
“enriched gene” is lifted so that not enriched but critically important genes are exposed.
J Mol Genet Med 2018, Volume 12
DOI: 10.4172/1747-0862-C2-028