Network Analysis of Gene Expression Profiles in Breast Cancer Cell Lines

2011 ◽  
pp. 233-242
Author(s):  
T Dewey ◽  
Katie Streicher ◽  
Stephen Ethier ◽  
T Dewey ◽  
Katie Streicher ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Network Analysis ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines

Identification of circadian-related gene expression profiles in entrained breast cancer cell lines

2016 ◽  
Vol 33 (4) ◽  
pp. 392-405 ◽  
Author(s):  
Miguel A. Gutiérrez-Monreal ◽  
Victor Treviño ◽  
Jorge E. Moreno-Cuevas ◽  
Sean-Patrick Scott
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Related Gene

scholarly journals Deciphering the Correlation between Breast Tumor Samples and Cell Lines by Integrating Copy Number Changes and Gene Expression Profiles

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yi Sun ◽  
Qi Liu
Keyword(s):  
Breast Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Breast Tumors ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Tumor Group

Breast cancer is one of the most common cancers with high incident rate and high mortality rate worldwide. Although different breast cancer cell lines were widely used in laboratory investigations, accumulated evidences have indicated that genomic differences exist between cancer cell lines and tissue samples in the past decades. The abundant molecular profiles of cancer cell lines and tumor samples deposited in the Cancer Cell Line Encyclopedia and The Cancer Genome Atlas now allow a systematical comparison of the breast cancer cell lines with breast tumors. We depicted the genomic characteristics of breast primary tumors based on the copy number variation and gene expression profiles and the breast cancer cell lines were compared to different subgroups of breast tumors. We identified that some of the breast cancer cell lines show high correlation with the tumor group that agrees with previous knowledge, while a big part of them do not, including the most used MCF7, MDA-MB-231, and T-47D. We presented a computational framework to identify cell lines that mostly resemble a certain tumor group for the breast tumor study. Our investigation presents a useful guide to bridge the gap between cell lines and tumors and helps to select the most suitable cell line models for personalized cancer studies.

scholarly journals Gene expression profiling of breast cancer cell lines treated with proton and electron radiations

2018 ◽  
pp. 20170934 ◽  
Author(s):  
Valentina Bravatà ◽  
Luigi Minafra ◽  
Francesco Paolo Cammarata ◽  
Pietro Pisciotta ◽  
Debora Lamia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Expression Profiling ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines
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