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Evolving strategies for global gene expression analysis of cancer
Author(s) -
Coe Bradley P.,
Chari Raj,
Lockwood William W.,
Lam Wan L.
Publication year - 2008
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.21554
Subject(s) - profiling (computer programming) , computational biology , gene expression profiling , epigenetics , biology , dna microarray , transcriptome , gene , gene expression , phenotype , genomics , genetics , computer science , genome , operating system
The advent of high throughput gene expression profiling, from microarrays to sequence based assays has yielded vast insight into the biology of tumors. New technologies are constantly being unveiled which promise to generate more accurate maps of tumor gene deregulation, and demand the development of new strategies in data analysis. This review details the challenges faced in profiling tumor transcriptomes, and highlights the emerging strategies to utilize global profiling approaches to advance our understanding of causal genetic and epigenetic events and their impact on gene expression and tumor phenotype and behavior, through high throughput profiling, and integration of multiple dimensions of genomic data. J. Cell. Physiol. 217: 590–597, 2008. © 2008 Wiley‐Liss, Inc.