Scaling properties of transcription profiles in gene networks Online publication date: Tue, 24-Mar-2009
by Renata C. Ferreira, Francisco Bosco, Marcelo R.S. Briones
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 5, No. 2, 2009
Abstract: Here we show that the transcriptional noise is an emergent property with scale invariance from genome level to the level of small Transcriptional Regulatory Genetic Networks (TRGN). We show that a small set of 9-12 genes reproduces the geometric mean value of transcriptional noise of the largest percolating networks and the whole 93-gene wide TRGN sub-network. Our results predict that the collapse of the standard deviation of the transcriptional noise as a function of gene sub-networks connectivity should occur for 1000 genes, the approximate size of the maximal interconnected percolating network cluster, which corresponds to the minimal genome size.
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