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The presence of a very strong common attractor correspondent to the specific tissue and cell kind leads to between-samples correlations close to one, as for the genome-wide expression profile.
Such strong invariance is imposed by the presence of a common attractor correspondent to the cell kind [16], [20], between all genotypes especially when we already know that MyD88 KO and DKO show significantly impaired proinflammatory responses [21].
The topological invariance of MDS space, even if not a conclusive proof, strongly points to the existence of a specific attractor for each cell kind in the transcriptome space.
On a practical ground, the common experience of any experimentalist dealing with microarray data is the fact that any two independent samples of the same cell kind when correlated over the expression of more or less twenty thousands different gene products display a near to unity correlation (see Figure 2).
The idealization of cell kind as 'attractors' of gene expression networks made by some authors [ 1, 17, 19, 29], is in my opinion extremely fruitful because it encompasses the two basic ingredients of 'population determinism' and 'single cell stochasticity' we sketched before.
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This connectivity is at the basis of the consideration of cell kinds as 'attractors' in multidimensional spaces constituted by the characteristic expression values of the different genes [21].
Thus, the distance between cell kinds increases as a consequence of the progression of differentiation process, but the relative positions of the different cell kinds are maintained.
Figures 2 and 3 represent examples of both cell kinds exposed to 40 μg/mL of the tested MWCNTs.
The distances between cell kinds monotonically increase in time but maintain invariant their relative proportions and thus the relative positions.
The damage of procollagen I expression may announce a beginning of successive differentiation into later germ cell kinds [ 33].
This is the case of the generation of very different cell kinds from the same stem cell population described by Huang [ 1].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com