Journal: Frontiers in Genetics

Article Title: Gene Expression Profiling during Murine Tooth Development

doi: 10.3389/fgene.2012.00139

Figure Lengend Snippet: Validation of microarray data . The mean ratios (expression at E11.5 up to P7/expression at E11.5) for some of the differentially expressed (DE) genes ( Amelx , Ambn , Enam , Wif1 , Clu , Prnp , Mmp20 , Col1a1 , Tgfb1 , Wint6 , and Serpinb5 ) from the microarray data (black) and real-time RT-PCR (gray). Plotted microarray and real-time RT-PCR data are means derived from at least three biological triplicates at each time point and presented with SD.

Article Snippet: Profile search function of Spotfire software v.9 Decision Site for Microarray analysis software (TIBCO Spotfire, Somerville, MA, USA) was used to select differentially expressed (DE) genes with a similar expression pattern to that of pre-selected genes Ambn , Amelx , and Enam .

Techniques: Biomarker Discovery, Microarray, Expressing, Quantitative RT-PCR, Derivative Assay

Journal: Frontiers in Neuroscience

Article Title: Comparative Gene Expression Analysis of Two Mouse Models of Autism: Transcriptome Profiling of the BTBR and En2 −/− Hippocampus

doi: 10.3389/fnins.2016.00396

Figure Lengend Snippet: Differentially expressed genes in the BTBR hippocampus. (A) Schematic representation of BTBR hippocampal DEGs, as compared to control B6 mice. A total of 1016 DEGs were identified, (580 down-regulated, 436 up-regulated). (B) qRT-PCR validation of differentially expressed genes. qRT-PCR results for all the evaluated genes were in agreement with microarray results. Values are expressed as each gene/L41 comparative quantitation ratios normalized on the expression of WT (mean ± s.e.m of three replicates from pools of six animals per genotype; p < 0.05, Student's t -test, BTBR vs. B6).

Article Snippet: However, Daimon et al. ( ) used a different microarray platform (Illumina), microarray analysis software (DIANE 6.0) and pathways analysis software (WebGestalt, http://bioinfo.vanderbilt.edu/ ), which can justify the difference in the obtained results.

Techniques: Control, Quantitative RT-PCR, Biomarker Discovery, Microarray, Quantitation Assay, Expressing

Journal: Frontiers in Neuroscience

Article Title: Comparative Gene Expression Analysis of Two Mouse Models of Autism: Transcriptome Profiling of the BTBR and En2 −/− Hippocampus

doi: 10.3389/fnins.2016.00396

Figure Lengend Snippet: DEGs commonly expressed in the BTBR and En2 −/− hippocampus. (A) Venn diagram of differentially expressed genes in the BTBR and En2 −/− adult hippocampus. A total of 1016 and 862 differentially expressed genes were identified in BTBR (brown) and En2 −/− (gray) mice, respectively. Among these, 153 show differential expression in both strains. The table shows a subset of these common DEGs, all belonging to inflammatory pathways. (B) qRT-PCR validation of Ccnd1 and Pglyrp1, two genes differentially expressed in both BTBR and En2 −/− hippocampi. qRT-PCR results for both genes were in agreement with microarray results. Values are expressed as each gene/L41 comparative quantitation ratios normalized on the expression of respective control (mean ± s.e.m of three replicates from pools of six animals per genotype; p < 0.05, Student's t -test, BTBR vs. B6 and En2 −/− vs. En2 +/+ ).

Article Snippet: However, Daimon et al. ( ) used a different microarray platform (Illumina), microarray analysis software (DIANE 6.0) and pathways analysis software (WebGestalt, http://bioinfo.vanderbilt.edu/ ), which can justify the difference in the obtained results.

Techniques: Quantitative Proteomics, Quantitative RT-PCR, Biomarker Discovery, Microarray, Quantitation Assay, Expressing, Control