Cell Language Theory, The: Connecting Mind And Matter

Applications of the Cell Language Theory to Biomedical Sciences 317

“6x9” b2861 The Cell Language Theory: Connecting Mind and Matter

50–100 genes) show considerable noise and yet they all fit the PDE rea-

sonably well. The shapes of the PDE curves appear qualitatively different

from one another. This impression is confirmed quantitatively when we

compared the PDE parameter ratios, b/A, pair-wise among the six groups

as shown in Table 7.5, since the pair-wise p-values are all less than 0.05.

This indicates that

PDE is capable of quantifying the qualitative differences between the

shapes of long tailed histograms that are difficult to distinguish visually.

(7.25)

Furthermore, PDE is capable of detecting the subtle effects of doxo-

rubicin treatment on the RNA distributions of certain (but not all) meta-

bolic pathways in the human breast tissues as shown in Table 7.6. Of the

Table 7.4 Protein families studied in this section and their cellular functions.

Kinase-binding protein (CGI) Telomere uncapping and elongation

Unknown proteins (KIAA) Function unknown

Mitogen-activated protein kinase (MAPK) Cell proliferation and survival

Zinc finger protein (ZFP) DNA transcription

Electron-transferring flavoprotein (ETF) Fatty acid oxidation

Table 7.5 The p-values for the pair-wise comparisons among the PDE parameter

values of the five metabolic pathways of the human breast cancer tissues. AF =

After drug treatment.

p-values (AF, b/A)

CGI MAPK ZFPC CD ETF Genome

CGI — 1.3E- 3 0.04 2.62E- 4 7.65E- 4 0.02

MAPK — — 0.01 4.38E- 8 0.03 0.03

ZFPC — — — 7.92E- 7 6.61E- 2 0.04

CD — — — — 2.54E- 9 5.84E- 6

ETF — — — — — 0.03

Genome — — — — — —

Note: The RNA levels were those measured from tumor tissues after (AF) drug treatment.

Only the b/A ratio is examined in this table. For other ratios, b/B and B/A, see Table 7.6.

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