Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity.
BACKGROUND
It is expected that individual genes have intrinsically different variability in the global expressional trend among them. Thus, the consideration of gene-specific expressional properties will help us to distinguish target-selective gene expression over non-selective over-expression.


RESULTS
The re-standardization and integration of heterogeneous microarray datasets, available from public databases, have enabled us to determine the global expression properties of individual genes across a wide variety of experimental conditions and samples. The global averages and SDs of expression for each gene in the integrated microarray datasets were found to be intrinsic properties, which were consistent among independent collections of datasets using different microarray platforms. Using the gene-specific intrinsic parameters to rescale the microarray data, we were able to distinguish novel selective gene expression [cartilage oligomeric matrix protein (COMP) and Collagen X] in breast cancer tissues from non-selective over-expression, a difference that has not been detectable by conventional methods.


METHODS
The web-based tool for GS-LAGE is available at http://lage.sookmyung.ac.kr
Department of Biological Sciences, Sookmyung Women's University, Seoul, Republic of Korea.
Changsik
C
Kim
Jiwon
J
Choi
Hyunjin
H
Park
Yunsun
Y
Park
Jungsun
J
Park
Taesung
T
Park
Kwanghui
K
Cho
Young
Y
Yang
Sukjoon
S
Yoon
D001943:Breast Neoplasms / Q000235:genetics; D030541:Databases, Genetic; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D023281:Genomics / Q000379:methods*; D006801:Humans; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*