The 6thConference on Bioinformatics , 2016-12-13

Title : ( Biological pathways identification of breast cancer cell lines transcriptome by Pathvisio software )

Authors: Fereshteh Ashrafi Ahmad Abad , Ali forouharmehr , قوتی , Mohammadreza Nassiri , farid vahedi ,

Citation: BibTeX | EndNote

Abstract

There are many breast cancer cell lines with different characteristics that served as systemsmodel in vitro studies. Mcf-7 cell line is a positive estrogen receptor cell line that the formation of tumor cells is dependent upon the presence of estrogen, but there are no estrogen receptors in MCF-7/ADR cells, so in the absence of estrogen tumors will form [1].The aimof present study is to identifybiological processes involved in extention of Breast cancer by using transcriptome profile. We have usedTranscriptomics data from Wang et al (E-GEOD-76540) in our study [2], the quality ofdata have been evaluated by using ArrayAnalysis [3]. Pathway analysis was performed with a new tool, PathVisio [4]. It is a free open-source pathway analysis tool with plugins (1) to visualize microarray data on pathway and (2) to perform statistical analysis to select importance pathway.Pathway analysis showed 17 pathways in which the genes were overrepresented (z-score > 1.96). Eight of these pathways are involved in cellular functions such as cell viability, cell cycle progression, apoptosis, and cellular transformation but an important process in MCF-7 and MCF-7/ADR hasintegrated Breast Cancer Pathway that have used the most important proteins for Breast Cancer.

Keywords

, Transcriptomics, Breast cancer, Pathvisio, Pathway Analysis
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@inproceedings{paperid:1060920,
author = {Ashrafi Ahmad Abad, Fereshteh and Forouharmehr, Ali and قوتی and Nassiri, Mohammadreza and Vahedi, Farid},
title = {Biological pathways identification of breast cancer cell lines transcriptome by Pathvisio software},
booktitle = {The 6thConference on Bioinformatics},
year = {2016},
location = {تهران, IRAN},
keywords = {Transcriptomics; Breast cancer; Pathvisio; Pathway Analysis},
}

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%0 Conference Proceedings
%T Biological pathways identification of breast cancer cell lines transcriptome by Pathvisio software
%A Ashrafi Ahmad Abad, Fereshteh
%A Forouharmehr, Ali
%A قوتی
%A Nassiri, Mohammadreza
%A Vahedi, Farid
%J The 6thConference on Bioinformatics
%D 2016

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