Qin Sheng, Ma Fei, Chen Liming
The Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Science, Southeast University Nanjing 210096, China and Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China The Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Science, Southeast University Nanjing 210096, China and Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
The Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Science, Southeast University Nanjing 210096, China and Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China.
Bioinformatics. 2015 Jan 1;31(1):76-83. doi: 10.1093/bioinformatics/btu597. Epub 2014 Sep 3.
Gene regulatory networks (GRNs) affect numerous cellular processes and every process of life, and abnormalities of GRN lead to breast cancer. Transcription factors (TFs) and microRNAs (miRNAs) are two of the best-studied gene regulatory mechanisms. However, the architecture and feature of GRNs by TFs and miRNAs in breast cancer and its subtypes were unknown. In this study, we investigated the GRNs by TFs and miRNAs with emphasis on breast cancer classifier genes at system level.
基因调控网络（GRNs）影响众多细胞过程及生命的每个进程，而GRN的异常会导致乳腺癌。转录因子（TFs）和微小RNA（miRNAs）是两种研究最为深入的基因调控机制。然而，TFs和miRNAs在乳腺癌及其亚型中的GRN结构和特征尚不清楚。在本研究中，我们在系统水平上研究了TFs和miRNAs的GRN，重点关注乳腺癌分类基因。
