Gene BTS2 was differentially expressed but did not show significant difference in coefficient of the ODE between tumor and normal samples.
Growth performance and survival of the three species was strongly affected by small-scale environmental heterogeneity, which was expressed as significant differences in growth and survival among different plantation plots at the same study site.
The statistical analysis of the mean percentage of the expressed CD markers has shown that CD62L, CXCR-2, LPAM-1, CD11a/CD18, CD8+, IL-6R and CD20+ were expressed in significant differences in either type of the infection.
These studies also reveal substantial differential expression between lineages (Table 3), with ~26% of expressed genes showing significant differences in at least one strain (although the high percentage of differentially expressed genes may simply reflect the low variance among biological replicates, which raises statistical power to detect subtle changes in expression levels).
Data are expressed as means±S.E.M.. Significant differences in mean values were assessed by Student's t-test.
Although tumor-associated host tissues can express SerpinB2, no significant differences in the growth of a panel of different tumors in SerpinB2−/− and SerpinB2+/+ mice were observed.
Thus, although most autoantigens are ubiquitously expressed, recent in vivo findings show that significant differences in expression levels exist in unique microenvironments.
However, careful analysis indicates that the GFP expressing cryptococci reported here show no significant differences in their stress responses or behaviour within macrophages.
Further stratified analysis of the correlation between the value of adjuvant chemotherapy regimens and TopIIα expression showed that when TopIIα was highly expressed, there were no significant differences in DFS between patients who received chemotherapy with or without TXT (P = 0.712), with or without NVB (P = 0.170), with or without GEMZ (P = 0.415), and with or without PTX (P = 0.763).
Estimated prevalence corresponds to each gender and age group and is expressed per 10000 residents Significant differences in the prevalence of the diseases between the young and the elderly were observed (Table 4).
