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It is well known that, under suitable conditions, microRNAs are able to fine tune the relative concentration of their targets to any desired value. We show that this function is particularly effective when one of the targets is a…

Molecular Networks · Quantitative Biology 2015-06-16 Andrea Riba , Carla Bosia , Mariama El Baroudi , Laura Ollino , Michele Caselle

The activation/repression of a given gene is typically regulated by multiple transcription factors (TFs) that bind at the gene regulatory region and recruit RNA polymerase (RNAP). The interactions between the promoter region and TFs and…

Molecular Networks · Quantitative Biology 2009-07-14 Herbert Sauro , Song Yang

We consider integrative modeling of multiple gene networks and diverse genomic data, including protein-DNA binding, gene expression and DNA sequence data, to accurately identify the regulatory target genes of a transcription factor (TF).…

Applications · Statistics 2012-03-21 Peng Wei , Wei Pan

We study theoretical ``design principles'' for transcription factor-DNA interaction in bacteria, focusing particularly on the statistical interaction of the transcription factors (TF's) with the genomic background (i.e., the genome without…

Biological Physics · Physics 2009-11-07 Ulrich Gerland , J. David Moroz , Terence Hwa

Transcription factor proteins bind specific DNA sequences to control the expression of genes. They contain DNA binding domains which belong to several super-families, each with a specific mechanism of DNA binding. The total number of…

Biomolecules · Quantitative Biology 2010-07-27 Shalev Itzkovitz , Tsvi Tlusty , Uri Alon

Transcription factors (TFs) are regulatory proteins that bind DNA in promoter regions of the genome and either promote or repress gene expression. Here we predict analytically that enhanced homo-oligonucleotide sequence correlations, such…

Biomolecules · Quantitative Biology 2011-11-15 Itamar Sela , David B. Lukatsky

Genes are connected in complex networks of interactions where often the product of one gene is a transcription factor that alters the expression of another. Many of these networks are based on a few fundamental motifs leading to switches…

Molecular Networks · Quantitative Biology 2026-03-05 Zitao Yang , Rebecca J. Rousseau , Sara D. Mahdavi , Hernan G. Garcia , Rob Phillips

Much of the complexity observed in gene regulation originates from cooperative protein-DNA binding. While studies of the target search of proteins for their specific binding sites on the DNA have revealed design principles for the…

Biomolecules · Quantitative Biology 2015-05-30 Nico Geisel , Ulrich Gerland

Annotations of gene structures and regulatory elements can inform genome-wide association studies (GWAS). However, choosing the relevant annotations for interpreting an association study of a given trait remains challenging. We describe a…

Genomics · Quantitative Biology 2014-04-24 Joseph K. Pickrell

Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random…

Subcellular Processes · Quantitative Biology 2015-04-15 Mohammad Soltani , Pavol Bokes , Zachary Fox , Abhyudai Singh

Cooperative binding of transcription factors (TFs) to cis-regulatory regions (CRRs) is essential for precision of gene expression in development and other processes. The classical model of cooperativity requires direct interactions between…

Biomolecules · Quantitative Biology 2015-05-13 Leonid A. Mirny

Connectivity networks have recently become widely used in biology due to increasing amounts of information on the physical and functional links between individual proteins. This connectivity data provides valuable material for expanding our…

Genomics · Quantitative Biology 2013-02-15 O. V. Valba , S. K. Nechaev , O. Vasieva

Understanding the genetic basis of complex traits is a longstanding challenge in the field of genomics. Genome-wide association studies (GWAS) have identified thousands of variant-trait associations, but most of these variants are located…

Molecular Networks · Quantitative Biology 2024-11-01 Marc Subirana-Granés , Jill Hoffman , Haoyu Zhang , Christina Akirtava , Sutanu Nandi , Kevin Fotso , Milton Pividori

Hill function is one of the widely used gene transcription regulation models. Its attribute of fitting may result in a lack of an underlying physical picture, yet the fitting parameters can provide information about biochemical reactions,…

Molecular Networks · Quantitative Biology 2024-03-05 Wenjia Shi , Yao Ma , Peilin Hu , Mi Pang , Xiaona Huang , Yiting Dang , Yuxin Xie , Danni Wu

Response time and transcription level are vital parameters of gene regulation. They depend on how fast transcription factors (TFs) find and how efficient they occupy their specific target sites. It is well known that target site search is…

Biological Physics · Physics 2018-06-18 Johannes Hettich , J. Christof M. Gebhardt

The binding of transcription factors (TFs) is essential for gene expression. One important characteristic is the actual occupancy of a putative binding site in the genome. In this study, we propose an analytical model to predict genomic…

Quantitative Methods · Quantitative Biology 2015-01-14 Nicolae Radu Zabet , Boris Adryan

Motivation: Recent studies of genomic-scale regulatory networks suggested that a feed-forward loop (FFL) circuitry is a key component of many such networks. This led to a study of the functional properties of different FFL types, where the…

Molecular Networks · Quantitative Biology 2008-02-26 Yonatan Bilu

In many organisms the expression levels of each gene are controlled by the activation levels of known "Transcription Factors" (TF). A problem of considerable interest is that of estimating the "Transcription Regulation Networks" (TRN)…

Applications · Statistics 2010-11-09 Gareth M. James , Chiara Sabatti , Nengfeng Zhou , Ji Zhu

We discuss a simple and powerful approach for the ab initio identification of cis-regulatory motifs involved in transcriptional regulation. The method we present integrates several elements: human-mouse comparison, statistical analysis of…

Genomics · Quantitative Biology 2007-05-23 Davide Cora' , Carl Herrmann , Christoph Dieterich , Ferdinando Di Cunto , Paolo Provero , Michele Caselle

BACKGROUND: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition motifs located upstream of the coding region of the regulated…

Genomics · Quantitative Biology 2007-05-23 Davide Cora' , Ferdinando Di Cunto , Paolo Provero , Lorenzo Silengo , Michele Caselle