Exploring the molecular basis of tumor metastasis by microarray analysis.
Over the past decade, microarray technology has become a powerful tool to provide a genome-wide view of genetic or epigenetic changes associated with tumor metastasis. To extract biologically meaningful information from the vast amounts of microarray data, it is crucial to choose suitable biological systems and have vigilant experimental design. In this review, I will discuss several experimental systems that are used to identify genes involved in tumor metastasis by microarray analysis. Also highlighted are the pros and cons for each system. In particular, I will describe our experience of using microarray technology to identify the transcription factor Twist as an essential player in tumor metastasis.
Yang
Jing
J
Department of Pharmacology, University of California, San Diego, School of Medicine, La Jolla, CA 92093-0636, USA. jingyang@ucsd.edu
D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics; D006801:Humans; D009362:Neoplasm Metastasis / Q000175:diagnosis / Q000235:genetics*; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011379:Prognosis; D051879:Twist-Related Protein 1 / Q000235:genetics
D051879:Twist-Related Protein 1