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Computational exploration of the activated pathways associated with DNA damage response in breast cancer by Liting Wen; Wei Li; Marc Sobel; Jin‐an Feng is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract Molecular signaling events regulate cellular activity. Cancer stimulating signals trigger cellular responses that evade the regulatory control of cell development. To understand the mechanism of signaling regulation in cancer, it is necessary to identify the activated pathways in cancer. We have developed RepairPATH, a computational algorithm that explores the activated signaling pathways in cancer. The RepairPATH integrates RepairNET, an assembled protein interaction network associated with DNA damage response, with the gene expression profiles derived from the microarray data. Based on the observation that cofunctional proteins often exhibit correlated gene expression profiles, it identifies the activated signaling pathways in cancer by systematically searching the RepairNET for proteins with significantly correlated gene expression profiles. Analyzing the gene expression profiles of breast cancer, we found distinct similarities and differences in the activated signaling pathways between the samples from the patients who developed metastases and the samples from the patients who were disease free within 5 years. The cellular pathways associated with the various DNA re

Who reads Computational exploration of the activated pathways associated with DNA damage response in breast cancer?

Author

Liting Wen; Wei Li; Marc Sobel; Jin‐an Feng

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0887-3585)

Published

2006

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)