OCT is based on optical low-coherence interferometry and provides high axial (2-15 µm) and lateral (5-30 µm) resolutions which makes it ideal for in vivo visualization of single tissue layer morphology and the diagnosis of pathology on a microscopic level [ 2].
Global test-retest variability of the volume of distribution was comparable for single-tissue (6%) and constrained two-tissue (9%) compartment models.
The number of tissue-selective bimodal genes in the "high" mode for each tissue type is provided as the bottom number in the diagonal of Figure 1A, while the top number represents genes that may be considered tissue-specific; they are expressed in the "high" mode for that single tissue and the "low" mode for all others.
These results suggest that it is uncommon (< 1%) for a single tissue to generate more than one splice variant, and that for those alternative splice contigs expressed in more than one tissue, different tissues may be generating different alternative splice variants.
The ability for transcript profiling across multiple tissue samples has been reported for most high-throughput sequencing-based technologies, but has been limited to single tissue profiling for 454-sequencing [ 10, 11].
Specific uptake of QD-EGF in individual tumor cells could be discerned at increasing magnifications (10X, 20X, and 40X) as shown for a single tissue specimen (Fig. 4).
Significant changes between the animal groups for a single tissue could not be detected.
To normalise the expression data, a single control gene, HvGAPdH, was used for this single tissue, single time point experiment.
Tissue requests became more complex, with investigators specifying multiple tissue preparation methods for a single tissue type.
Based on pairwise comparisons of differential transcript abundances, the samples were more similar between time points for a single tissue type than between tissues.
Bimodal genes were identified as altered in disease for a single tissue by again modeling the samples as a binomial distribution.
