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These three genes exhibited the most significant fold changes in their expression following transfection relative to any of the genes represented on the Affymetrix array.
IL-11 demonstrated the most significant fold changes in both data sets (Table 1).> IL-11 mRNA was significantly changed in SGC-7901/shMTA2 and BGC-823/MTA2 BGC-823/MTA2e results of micellsras (P < 0.01, Figure 4A).
We found that hypoxia related microRNA had the most significant fold changes, with miR-210, miR-155 and miR-21 being amongst the top., suggesting a major role for them in renal carcinogenesis.
However, co-culture with Ob + Ab+ ASCs induced the most significant fold increase in the expression of CDKN2A (from 0.4 to 0.9), GSTP1 (from 0.3 to 0.9), SFRP1 (from 0.1 to 0.3), ESR1 (from 1.1 to 1.7) and PGR (from 1.4 to 3.2) (P <0.05).
Often the first stages of biomarker screening involves selecting the genes showing the largest and/or most significant fold changes in expression between different experimental groups, and studying the differences in global expression profiles using multifactorial analysis methods such as Principal Component Analysis (PCA) and ANOVA.
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This selection was based on the fact that these miRNAs produced the most significant fold-changes in our study.
Table 2 lists the 20 most significant pathways for fold ≥ 1.2.
The most significant changes (1.5-fold, p < 0.05) between control and treatment groups were selected for protein identification by LC-Chip-ESI-QTOF-MS. Except for unidentified proteins due to weak spectra, 22 altered spots were identified (Table 2).
In order for expression to have been considered changed, a majority of the probe sets targeting the gene needed a Benjamini and Hochberg corrected FDR of less than 0.05 and the most significant probe required a fold change of at least 1.5-fold between KDM2B knockdown and scrambled control samples.
Each resulting model is functional and captures the most significant differences described the fold changes listed in Table 5.
The genes determined to be most significant (p-value<0.01 and fold change >1.3) for each demographic variable is reported in a table, accompanied by a summary of the percentage of significant genes for each variable.
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