title: Scaling properties of transcription profiles in gene networks.
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.
authors.affiliation: Departamento de Microbiologia, Imunologia e Parasitologia, Federal University of Sao Paulo, Ed. Ciencias Biomedicas, Rua Botucatu, 862 Sao Paulo, SP 04023-062, Brazil. renata.carmona@unifesp.br
authors.forename: Renata C
authors.initials: RC
authors.lastname: Ferreira
authors.forename: Francisco
authors.initials: F
authors.lastname: Bosco
authors.forename: Marcelo R S
authors.initials: MR
authors.lastname: Briones