Integrated analysis of hela cell microRNAs' microarray data and anti-cancer pathway prediction of beta-sitosterol

Xijia Fei, Dachuang Liu, Cuihong Dai, Aiju Hou, Jianzhong Li, Dechang Xu*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

It has remarkable efficacy to treat cervical cancer cell using beta-sitosterol. At present, beta-sitosterol has been used in the clinical treatment of cancer and its side effects are remotely lower than the traditional drug such as cisplatin. However, the anticancer mechanism of beta-sitosterol is unknown in cervical cancer. In this study, we mainly use TaqMan MicroRNA Assay to detect the consequence of Hela cell treatment by beta-sitosterol and cisplatin and analyze it from molecular level. We find out the differentially expressed microRNAs and forecast their targets by Targetscan. We also provide direct evidence that STK4/MST1 is a functional target. From the viewpoint of bioinformatics, we speculate the possible pathway of beta-sitosterol to inhibit tumor.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Pages824-830
Number of pages7
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 - Philadelphia, PA, United States
Duration: 4 Oct 20127 Oct 2012

Publication series

NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

Conference

Conference2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Country/TerritoryUnited States
CityPhiladelphia, PA
Period4/10/127/10/12

Keywords

  • STK4/MST1
  • beta-sitosterol
  • hela
  • microarray

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