dorsal/arxiv
View SchemaNoise Characteristics of Feed Forward Loops
| Authors | Bhaswar Ghosh, Rajesh Karmakar, Indrani Bose |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0411013 |
| URL | https://arxiv.org/abs/q-bio/0411013 |
| DOI | 10.1088/1478-3967/2/1/005 |
Abstract
A prominent feature of gene transcription regulatory networks is the presence in large numbers of motifs, i.e, patterns of interconnection, in the networks. One such motif is the feed forward loop (FFL) consisting of three genes X, Y and Z. The protein product of x of X controls the synthesis of protein product y of Y. Proteins x and y jointly regulate the synthesis of z proteins from the gene Z. The FFLs, depending on the nature of the regulating interactions, can be of eight different types which can again be classified into two categories: coherent and incoherent. In this paper, we study the noise characteristics of FFLs using the Langevin formalism and the Monte Carlo simulation technique based on the Gillespie algorithm. We calculate the variances around the mean protein levels in the steady states of the FFLs and find that, in the case of coherent FFLs, the most abundant FFL, namely, the Type-1 coherent FFL, is the least noisy. This is however not so in the case of incoherent FFLs. The results suggest possible relationships between noise, functionality and abundance.
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"abstract": "A prominent feature of gene transcription regulatory networks is the presence\nin large numbers of motifs, i.e, patterns of interconnection, in the networks.\nOne such motif is the feed forward loop (FFL) consisting of three genes X, Y\nand Z. The protein product of x of X controls the synthesis of protein product\ny of Y. Proteins x and y jointly regulate the synthesis of z proteins from the\ngene Z. The FFLs, depending on the nature of the regulating interactions, can\nbe of eight different types which can again be classified into two categories:\ncoherent and incoherent. In this paper, we study the noise characteristics of\nFFLs using the Langevin formalism and the Monte Carlo simulation technique\nbased on the Gillespie algorithm. We calculate the variances around the mean\nprotein levels in the steady states of the FFLs and find that, in the case of\ncoherent FFLs, the most abundant FFL, namely, the Type-1 coherent FFL, is the\nleast noisy. This is however not so in the case of incoherent FFLs. The results\nsuggest possible relationships between noise, functionality and abundance.",
"arxiv_id": "q-bio/0411013",
"authors": [
"Bhaswar Ghosh",
"Rajesh Karmakar",
"Indrani Bose"
],
"categories": [
"q-bio.MN",
"cond-mat.other",
"cond-mat.stat-mech",
"q-bio.OT"
],
"doi": "10.1088/1478-3967/2/1/005",
"title": "Noise Characteristics of Feed Forward Loops",
"url": "https://arxiv.org/abs/q-bio/0411013"
},
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