All chip results were analyzed by SBC analysis system (SAS), an expression microarray data analysis software of this corporation.
1) Molecular apocrine-genes: Top ranking genes in molecular apocrine-signature, based on their fold-change for gene expression, were extracted from a meta-analysis microarray study of 186 ER- breast tumors by Teschendorff et al. and an expression microarray study of ER- cell lines by Doane et al. [ 4, 5].
Analysis by gene expression microarray revealed a clear separation of gene signatures, with downstream activation of angiogenesis and down-regulation of genes involved in cell cycle regulation in SmoA1+/−; Pten +/− medulloblastomas.
The improvement of neuronal function by TFEB is supported by expression microarray analysis of hippocampal samples.
Previously in an effort to understand FLCN function, we searched for differentially expressed genes in cells expressing mutant FLCN compared to wildtype FLCN by gene expression microarray analysis.
A loss-of-function analysis was then performed using TIMELESS-targeting siRNA oligos followed by a whole-genome expression microarray and network analysis.
To determine TIMELESS's role in tumorigenesis, we then performed an in vitro loss-of-function analysis using TIMELESS-targeting siRNA oligos followed by a whole-genome expression microarray.
To explore TIMELESS's potential functional significance in regulating cancer-relevant gene networks, we performed a loss-of-function analysis using TIMELESS-targeting siRNA oligos, followed by a whole genome expression microarray and subsequent network analysis.
In the current study, we report our findings from the expression profiling analysis of TIMELESS in different tumor types using publically available online tools and microarray datasets, and a loss-of-function analysis using TIMELESS-targeting siRNA oligos followed by a whole-genome expression microarray and network analysis.
Consistent with these findings, MCM genes have also been found to be upregulated at the mRNA level in a range of malignancies by expression microarray analysis (Rosenwald et al, 2003; Neben et al, 2004; Yu et al, 2004b).
