To more systematically investigate the similarity between the gene expression profiles induced by the different WOAs at the different time points, we evaluated the degree of overlap between all lists of up- and down-regulated genes obtained in this study.
Motivated by the relatively high level of similarity between the transcriptional responses of C. albicans to individual WOAs at individual time points, we further investigated the overlap between all lists of differentially expressed genes under more stringent conditions, i.e., focusing only on genes consistently and significantly modulated across the entire time course.
Every patient can decide what to eat during the meal, choosing between all the foods listed in the software; the quantification of the total calories and carbohydrate consumed is facilitated by a list of pictures showing the specific food and the amount ingested.
Using mir-124 over-expression as an example, comparing the Baek et al. [53], Lim et al. [57] and Wang et al. [60] data sets – at the least stringent confidence level for targets, allowing the overlap between experiments to be maximal – we see only 10 common targets between all 3 lists, 3.7% of the smallest target list (Figure 2B).
*Analysis was conducted with all listed between-subjects factors and baseline serum albumin level as covariate entered into models.
If the overlap between all replicate peak lists and the common peak list was 50% or more (i.e. if at least 50% of the peaks were reproducible in every replicate), then the condition was labelled as " similar" (Fig. 1A).
Earlier studies (e.g., Kramer and Delis 1991) that investigated PI with the CVLT showed a between-lists decrease in performance for shared trials (normal interference) and a between- lists increase in performance for unshared trials.
We calculated binary overlap scores between all pairwise gene lists.
There were 20 genes that overlapped between all three gene lists, which included cell cycle-related genes including the spindle assembly checkpoint proteins BUB1 and MAD2, and many commonly used chemotherapeutic drug targets including TOP2A (doxorubicin, etoposide), thymidylate synthetase (5-FU), ribonucleotide reductase M2 (hydroxyurea) and CDC2 (flavopiridol, staurosporine).
Upon submission, the server will generate a structural model for each mutation and perform docking simulations between all of the listed ligands and kinase mutation structures, including the original kinase structure.
There were clear dose-response relationships between all of the listed variables and quintile groups of serum ferritin levels, with the exception of systolic and diastolic BP, serum creatinine, current smoking status, and hypertension.
