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We have performed a statistical analysis of the spatial distribution of operons in the transcriptional regulation network of Escherichia coli. The analysis reveals that operons that regulate each other and operons that are coregulated tend…

Molecular Networks · Quantitative Biology 2007-05-23 P. B. Warren , P. R. ten Wolde

We present a comparative analysis of large-scale topological and evolutionary properties of transcription networks in three species, the two distant bacteria E. coli and B. subtilis, and the yeast S. cerevisiae. The study focuses on the…

Molecular Networks · Quantitative Biology 2008-05-16 A. L. Sellerio , B. Bassetti , H. Isambert , M. Cosentino Lagomarsino

Gene regulatory networks typically have low in-degrees, whereby any given gene is regulated by few of the genes in the network. They also tend to have broad distributions for the out-degree. What mechanisms might be responsible for these…

Molecular Networks · Quantitative Biology 2013-05-29 Z. Burda , A. Krzywicki , O. C. Martin , M. Zagorski

Identity, response to external stimuli, and spatial architecture of a living system are central topics of molecular biology. Presently, they are largely seen as a result of the interplay between a gene repertoire and the regulatory…

Molecular Networks · Quantitative Biology 2007-05-23 M. Cosentino Lagomarsino , P. Jona , B. Bassetti

MOTIVATION: A central goal of postgenomic biology is the elucidation of the regulatory relationships among all cellular constituents that together comprise the 'genetic network' of a cell or microorganism. Experimental manipulation of gene…

Statistical Mechanics · Physics 2009-11-07 I. J. Farkas , H. Jeong , T. Vicsek , A. -L. Barabasi , Z. N. Oltvai

Dynamical properties of the transcriptional regulatory network of {\it Escherichia coli} and {\it Saccharomyces cerevisiae} are studied within the framework of random Boolean functions. The dynamical response of these networks to a single…

Molecular Networks · Quantitative Biology 2007-05-23 Deok-Sun Lee , Heiko Rieger

The most common gene regulation mechanism is when a transcription factor protein binds to a regulatory sequence to increase or decrease RNA transcription. However, transcription factors face two main challenges when searching for these…

Quantitative Methods · Quantitative Biology 2023-11-21 Lucas Hedström , Ludvig Lizana

Small non-coding RNAs can exert significant regulatory activity on gene expression in bacteria. In recent years, substantial progress has been made in understanding bacterial gene expression by sRNAs. However, recent findings that…

Biological Physics · Physics 2017-09-13 Hamid Teimouri , Elgin Korkmazhan , Joel Stavans , Erel Levine

We discuss two new approaches to extract relevant biological information on the Transcription Factors (and in particular to identify their binding sequences) from the statistical distribution of oligonucleotides in the upstream region of…

Biological Physics · Physics 2007-05-23 M. Caselle , F. Di Cunto , M. Pellegrino , P. Provero

Gene regulatory networks constitute the first layer of the cellular computation for cell adaptation and surveillance. In these webs, a set of causal relations is built up from thousands of interactions between transcription factors and…

Molecular Networks · Quantitative Biology 2009-11-30 Carlos Rodriguez-Caso , Bernat Corominas-Murtra , Ricard V. Solé

Predicting how genetic variation affects phenotypic outcomes at the organismal, cellular, and molecular levels requires deciphering the cis-regulatory code, the sequence rules by which non-coding regions regulate genes. In this perspective,…

The biological processes of cellular decision making and differentiation involve a plethora of signalling pathways and gene regulatory circuits. These networks, in their turn, exhibit a multitude of motifs playing crucial parts in…

Molecular Networks · Quantitative Biology 2018-05-02 Gustavo Rodrigues Ferreira , Helder Imoto Nakaya , Luciano da Fontoura Costa

Transcriptional regulation of gene expression is one of the main processes that affect cell diversification from a single set of genes. Regulatory proteins often interact with DNA regions located distally from the transcription start sites…

Genomics · Quantitative Biology 2014-04-30 Sofie Demeyer , Tom Michoel

We present a novel classification-based method for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple organisms such as Saccharomyces cerevisiae, we can learn a decision rule for…

Quantitative Methods · Quantitative Biology 2007-05-23 Manuel Middendorf , Anshul Kundaje , Chris Wiggins , Yoav Freund , Christina Leslie

The set of regulatory interactions between genes, mediated by transcription factors, forms a species' transcriptional regulatory network (TRN). By comparing this network with measured gene expression data one can identify functional…

Molecular Networks · Quantitative Biology 2015-05-19 Carsten Marr , Fabian J. Theis , Larry S. Liebovitch , Marc-Thorsten Hütt

Many cellular responses to surrounding cues require temporally concerted transcriptional regulation of multiple genes. In prokaryotic cells, a single-input-module motif with one transcription factor regulating multiple target genes can…

Subcellular Processes · Quantitative Biology 2019-06-19 Jingyu Zhang , Hengyu Chen , Ruoyan Li , David A. Taft , Guang Yao , Fan Bai , Jianhua Xing

With the development of high throughput sequencing technology, it becomes possible to directly analyze mutation distribution in a genome-wide fashion, dissociating mutation rate measurements from the traditional underlying assumptions.…

Genomics · Quantitative Biology 2015-05-14 D. Parkhomchuk , V. S. Amstislavskiy , A. Soldatov , V. Ogryzko

All cells respond to changes in both their internal milieu and the environment around them through the regulation of their genes. Despite decades of effort, there remain huge gaps in our knowledge of both the function of many genes (the…

Gene regulation in Eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational method to identify regulatory…

Disordered Systems and Neural Networks · Physics 2007-05-23 M. Caselle , F. Di Cunto , P. Provero

Regulatory networks have evolved to allow gene expression to rapidly track changes in the environment as well as to buffer perturbations and maintain cellular homeostasis in the absence of change. Theoretical work and empirical…

Populations and Evolution · Quantitative Biology 2013-04-30 Alexander J. Stewart , Robert M. Seymour , Andrew Pomiankowski , Max Reuter
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