Cell Language Theory, The: Connecting Mind And Matter

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330 The Cell Language Theory: Connecting Mind and Matter

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

X and an FDA-approved drug (e.g., Figure 7.18). If the R^2 > 0.60,
discard X; otherwise, continue to the next step.
(4) Plot the SM of each group vs. the drug-induced changes in the
slope of the A vs. C plots (Figure 7.20) for both X and an FDA-
approved drug. If the correlation coefficient of the plot for X is equal
to or greater than that of an FDA-approved drug, the PDE-based
search for anticancer drugs has been successfully completed.

7.3.5 Conserved Transcriptional Response to Cancer (CTRC): The
First Law of Transcriptomics
Figure 7.4 clearly demonstrates that there exists a conserved pattern of
changes in the mRNA levels of budding yeast cells when subjected to
nutritional stress. That is, the glucose–galactose shift causes the Transcript
Level (TL) of most genes to decrease during the first 2–3 h (presumably
because yeast cells cannot metabolize galactose due to lack of galactose-
metabolizing enzymes whose induction takes 2–3 h). In other words, the
intracellular mRNA levels can act as sensitive indicators for the metabolic
state of budding yeast cells. We can generalize this finding to other cell
types and other perturbations, including mechanical, chemical, and mental
(in the case of multicellular organisms with central nervous systems),
leading to the following statement:

The intracellular levels of mRNA molecules can be utilized to monitor
the functional states of living cells in unicellular or multicellular
organisms. (7.31)

It seems necessary to distinguish two kinds of patterns of mRNA
levels: (i) raw (or shallow) patterns as exemplified in Figures 7.4 and 7.17
which are revealed with little or no computational processing of raw mRNA
data and (ii) hidden (or deep) patterns as exemplified in Figures 7.18–7.22
which are made explicit only after often complex mathematical processing
(e.g., using PDE).
Thus, the validity of Statement (7.31) can be said to be empirically
established and may be confidently referred to as the First Principle of
Transcriptomics (FPT), which may turn out to be analogous to the First
Law of Thermodynamics.

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