Differential network biology reveals a positive correlation between a novel protein-protein interaction and cancer cells migration

Author

Chia-Hung Liu ; Tzu-Chi Chen ; Chun-Houh Chen ; Cheng-Yan Kao ; Huang, Chi-Ying F.

Author_Institution

Grad. Inst. of Biomed. Electron. & Bioinf., Nat. Taiwan Univ., Taipei, Taiwan

fYear

2013

fDate

3-7 July 2013

Firstpage

2700

Lastpage

2703

Abstract

This paper introduces a differential network biology for discovering tumor migration. We applied statistical methods to prioritize PPI candidates and an in situ proximity ligation assay to verify 67 endogenous PPIs among 21 interlinked pathways in two hepatocellular carcinoma (HCC) cells, Huh7 (minimally migratory cells) and Mahlavu (highly migratory cells). Differential network biology analysis was applied to determine the novel interaction, CRKL-FLT1, has a high centrality ranking, and the expression of this interaction is strongly correlated with the migratory ability of HCC and other cancer cell lines. Knockdown of CRKL and FLT1 in HCC cells leads to a decrease in cell migration. This study demonstrated that functional exploration of a disease network with differential network in interlinked pathways via PPIs can be used to discover tumor migration.

Keywords

cancer; cell motility; molecular biophysics; proteins; statistical analysis; tumours; CRKL-FLT1; HCC cells; Huh7; Mahlavu; cancer cell migration; differential network biology; disease network; endogenous PPI; hepatocellular carcinoma cells; in situ proximity ligation assay; interlinked pathways; protein-protein interaction; statistical method; tumor migration; Cancer; Cells (biology); Programmable logic arrays; Protein engineering; Proteins; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

Conference_Location

Osaka

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2013.6610097

Filename

6610097