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Connectron Dynamics. Richard J. Feldmann Global Determinants, Inc. Derwood, Maryland 20855, USA rjfeldma@globaldeterminants.com. The goals of the Connectron Dynamics Examples.
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Connectron Dynamics Richard J. Feldmann Global Determinants, Inc. Derwood, Maryland 20855, USA rjfeldma@globaldeterminants.com
The goals of the Connectron Dynamics Examples • To show how simple Connectron patterns can build up complex gene and non-coding RNA transcription behaviors • To develop a conceptual framework for analyzing the behavior of large eukaryotic transcriptomes.
How the Connectron Dynamics Examples work • Rules determine which gene or non-coding RNA causes the repression of transcription of which other genes or non-coding RNAs. • The graphic present the rules in a visual form. • The “music score” is the result of the simulation of the behavior of the rules. • The sound is the “music” of the simulation.
The transcription of a single gene or non-coding RNA is controlled only the transcription factors
The transcription of two genes or non-coding RNAs is controlled independently by their transcription factors
A genes or non-coding RNA that generates a Connectron turns off the transcription of another gene or non-coding RNA
A gene or non-coding RNA can use a Connectron to turn off its own transcription.
A “one-shot” connectron can turn off the transcription of another gene or non-coding RNA.
One one-shot Connectron can drive another one-shot Connectron
Changing the lifetime of the second one-shot Connectron changes the “music” of the behavior
A short lifetime of the second one-shot locks its behavior to the driving one-shot.
The two sets of one-shot Connectrons are running independently.
Two sets of three one-shots coupled together produces an interesting behavior.
This coupled behavior is quite different.
The four sets of Connectrons are coupled thus producing a very interesting behavior.
The Connectrome of the Transcriptome of the Mouse Genome