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With box plots, the variation of spectral difference between two different tissue types could be observed easily.
Apart from the canonical clock components, this is rare for rhythmic genes: less than 10% of rhythmic genes are found in common between two different tissue types (e.g., SCN and liver) [4, 5, 22, 23].
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Despite these attempts to clarify the polarizing signal(s) and cell responsiveness, exactly how the actual triggering signal is generated between two different tissues and how the tissue differences are sensed currently remains unknown.
A 3-D model of an entire fruit was designed in terms of strain incompatibilities between two different tissues, parenchyma and sclerenchyma.
Here, we examined the intracellular calcium dynamics during boundary formation between two different tissues.
The reports suggest that physical contact between two different tissues with distinct physical properties as regards cell adhesion and/or surface tension provides a cue for the initiation of cell polarity in cellular morphology and their alignment.
To this end, we devised a differential splicing index (dsiT) based on the differential expression of a short series of PS between two different tissues (see material and method and Figure 2B).
Thus, instead of looking at absolute expression levels, we must look at relative ratios of miRNA expression between two different tissues.
While 0.48 is higher than the 0.33 we see in our experiments, this is not very surprising since a treatment response within a single tissue is a subtle effect, relative to a comparison between two different tissues.
The Digital Differential Display (http://www.ncbi.nlm.nih.gov/UniGene/ddd) was used to report on significant differences in gene expression between four different tissue pools, created from libraries of ESTs from normal prostate, primary and metastatic prostate cancer and PIN (Wheeler et al, 2001).
To assess its utility, we ran a comparison between three different tissues, i.e. mature beans, flowers and fully-expanded leaves, in Coffea arabica in order to catalogue genes specifically expressed in each tissue.
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Justyna Jupowicz-Kozak
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