First, for each gene we identify expression trends that occur frequently across multiple datasets.
The aim of this study was to identify expression and processing of the five proteins in two mouse odontoblastic cell lines.
The microarray results show that our modified technologies are useful to enhance sensitivity and specificity of arrays, identify expression patterns within different cells, and discover differential expression of sRNAs during the differentiation process of bone marrow stem cells.
To identify expression profiles (EP) associated with aseptic loosening of total knee arthroplasty (TKA) and to compare them with EP observed in total hip arthroplasty (THA), and primary knee and hip osteoarthritis (OA).
The balanced allelic frequencies and distributions in a relatively large and diverse natural panel helped to identify expression quantitative trait loci (eQTLs) associated with more than 18 000 genes (63.4% of tested genes).
With this mouse geneset as a filter, we identify expression of the RAS target FOXM1 in human MFH.
Large-scale screens to identify expression patterns of interest commonly use GFP or LacZ reporter genes [37].
Our experience has shown that real-time PCR will sometimes identify expression differences not observed via microarray analyses (e.g., hybrid misexpression of always early: [20]).
This analysis should provide the first estimate of the number of "housekeeping" genes in a ciliate and identify expression markers for comparison of the expression of other genes.
To account for this inter-dependency, we conducted a multivariate analysis to identify expression traits that were independently associated with each risk factor.
These results identify expression levels of Fgfr3, Ihh, Mmp8 and Wnt3a as significantly altered in primary chondrocytes from Hoxd4-transgenic mice.
