Although psoriasis lesions are complex, involving various cell types and a multitude of dysregulated genes, the observed changes in gene expression are remarkably reproducible between different patients.
Since results can remarkably vary between different algorithms, we compared Maxent results with those obtained from a second algorithm BIOCLIM [47], [48], as implemented in DIVA-GIS.
These megabase sized domains of highly interacting chromatin are remarkably stable between different cell types and highly conserved between mice and humans [ 36].
However, other work addressing this question shows that after accounting for the different cellular repertoires of expressed mRNAs, the target response is remarkably consistent between different cell types, with alternative usage of 3′-UTR isoforms being the predominant mechanism shaping cell-type-specific differences in miRNA targeting (Nam et al., 2014).
Importantly, the pattern of group expression (i.e. an average of gene expression within a group) is remarkably stable between different studies and unique for the group, group expression profiles are essentially different and among the samples in all studies, i.e. the groups are expressed independently from each other.
The proportion of conserved AT-ZFPs varies remarkably between the different subsets (Table 1), with minor proportions in sets A/B (6 of 33), C1 (2 of 77) and C2 (9 of 44), but a major proportion in set C3 (16 of 22).
When workplace variance is high (empty model, item 4 MOR = 4.21, ICC = 41%%), the probability of adherence to guidelines varies remarkably (probability 0.1 0.8) between different workplaces.
In contrast, the cellular methylome, i.e., the methylation status of each and every CpG dinucleotide of the genome, provides linear sequence information while being also remarkably plastic even between different developmental stages of the very same cell.
Indeed, the caveolar density remarkably differs in different tissues.
